Tag: APS Software

  • What Is Master Scheduling in Discrete Manufacturing?

    What Is Master Scheduling in Discrete Manufacturing?

    Table of Contents

    Why Master Scheduling Still Matters

    In discrete manufacturing, master scheduling establishes a high-level production plan that connects demand with available capacity over time. It serves as the backbone of production planning and scheduling, translating customer requirements into a structured roadmap that reflects real-world constraints such as materials, labor, and equipment availability.

    Rather than reacting to issues as they arise, master scheduling provides a forward-looking view of operations. It enables teams to coordinate activities across departments, anticipate potential conflicts, and make informed decisions before disruptions occur. This structured approach supports more consistent execution and helps organizations maintain control in environments where variability is the norm.

    As production environments become more complex and interconnected, the role of master scheduling expands beyond planning. It acts as a central point of alignment between sales, operations, and supply chain teams, ensuring that priorities are clearly defined and resources are used effectively. Without it, manufacturers often experience disconnects between what is promised and what can realistically be delivered.

    When implemented effectively, master scheduling becomes a strategic capability that supports stability, responsiveness, and long-term performance. It gives organizations a clear direction while enabling them to adapt as conditions change, helping ensure that planning decisions translate into reliable outcomes on the shop floor.

    What Is Master Scheduling?

    Master scheduling in manufacturing refers to the creation and maintenance of a master production schedule (MPS), which outlines what finished goods will be produced, in what quantities, and when. This schedule is typically time-phased and operates at a higher level than day-to-day shop floor scheduling, focusing on weeks or months rather than hours or shifts.

    The master production schedule acts as a bridge between demand and execution. It translates forecasts and customer orders into a structured plan that considers capacity assumptions, lead times, and resource availability. This ensures that production is not only aligned with demand but also grounded in operational reality.

    While detailed scheduling determines the exact sequence of work on machines, master scheduling ensures that the overall production plan is feasible and aligned with strategic business objectives. It provides the structure needed for effective coordination across planning, procurement, and production teams. In many ways, the master schedule becomes the reference point for all downstream activities, influencing purchasing decisions, workforce planning, and delivery commitments.

    How Master Scheduling Works in Discrete Manufacturing

    In discrete manufacturing, master scheduling is significantly more complex due to the nature of production environments. Unlike process industries, discrete operations involve individual components, multi-level assemblies, and diverse routing paths that vary from order to order. This creates a dynamic planning environment where assumptions must constantly be evaluated and adjusted to reflect real-world conditions.

    Master scheduling must account for a wide range of constraints and dependencies, including:

    • High product mix variability: Manufacturers often manage a broad range of products, each with unique configurations and requirements. This makes it difficult to standardize scheduling assumptions, requiring flexible planning approaches that can adapt to changing order profiles.
    • Shared resources across operations: Machines, labor, and tools are frequently shared across multiple production lines. This introduces complexity in coordinating schedules, as one delay or change can impact multiple orders simultaneously.
    • Material availability and lead times: Components may come from multiple suppliers with varying lead times, creating uncertainty in when production can begin. Effective master scheduling must account for these dependencies to avoid disruptions.
    • Routing complexity: Different products follow different paths through the manufacturing process, requiring careful coordination to ensure that each step is completed in sequence without delays.
    • Capacity limitations: Production must reflect actual available capacity, not theoretical assumptions. Ignoring these constraints can lead to unrealistic schedules and missed commitments.

    Because of these factors, master scheduling in discrete manufacturing requires a careful balance between planning accuracy and flexibility. It must provide enough structure to guide operations while remaining adaptable to changing conditions, ensuring that production remains aligned with demand even as variability increases.

    The Difference Between Master Scheduling and Detailed Scheduling

    Master scheduling and detailed scheduling serve different but complementary roles within the broader production planning and scheduling process. Master scheduling operates at a strategic level, defining what should be produced and when based on demand and capacity assumptions. Detailed scheduling, on the other hand, operates at a tactical level, determining how and when specific jobs are executed on the shop floor.

    This distinction is critical because each layer addresses different types of decisions. Master scheduling focuses on long-term feasibility, ensuring that production plans align with overall business goals. Detailed scheduling focuses on execution, ensuring that resources are used efficiently in real time.

    When these layers are not aligned, execution risk increases. A master schedule that ignores real constraints can lead to unrealistic plans, while overly reactive detailed scheduling can create instability. Maintaining alignment between the two ensures that strategic plans translate effectively into operational reality, reducing the need for constant adjustments and improving overall performance.

    The Limitations of Static Master Production Schedules

    Many manufacturers still rely on static master production schedules generated through spreadsheets or ERP systems. While these tools provide a baseline plan, they often struggle to keep up with the dynamic nature of discrete manufacturing environments where conditions change frequently.

    Key limitations include:

    • Static updates: Traditional MPS tools rely on periodic updates, meaning schedules quickly become outdated as conditions change. This creates a gap between planned and actual production activities, forcing teams to react instead of plan ahead.
    • Limited responsiveness: When disruptions occur, such as material shortages or unexpected demand changes, static schedules cannot adapt quickly. This results in cascading delays that impact multiple orders and operations.
    • Manual re-planning cycles: Teams must manually adjust schedules, consuming time and increasing the risk of errors. This slows decision-making and reduces the organization’s ability to respond effectively to change.

    These limitations highlight the need for more adaptive approaches to master scheduling. While static tools may provide structure, they lack the responsiveness required to manage variability, making it difficult for manufacturers to maintain consistent performance.

    Master Scheduling and Finite Capacity Planning

    Finite capacity scheduling plays a critical role in strengthening master scheduling by ensuring that production plans are grounded in reality. Instead of assuming unlimited capacity, this approach evaluates actual resource availability and constraints when building schedules.

    This improves delivery reliability by aligning production commitments with what can realistically be achieved. It reduces the risk of overloading resources and helps manufacturers avoid the cycle of missed deadlines and reactive adjustments that often result from unrealistic planning assumptions.

    By incorporating finite capacity scheduling into master scheduling, manufacturers gain a clearer understanding of their true capabilities. This allows for more accurate capable to promise (CTP) dates, improved customer satisfaction, and better alignment between planning and execution. Many organizations leverage advanced planning and scheduling software to support this level of precision and adaptability.

    Connecting Master Scheduling to Demand-Driven Manufacturing

    Demand-driven manufacturing reshapes how master scheduling is approached by shifting the focus from forecasts to actual consumption signals. Instead of pushing production based on predicted demand, manufacturers align schedules with real customer orders and usage patterns.

    This approach reduces overproduction, minimizes excess inventory, and improves responsiveness across operations. By incorporating pull-based scheduling principles, master scheduling becomes more adaptive and better aligned with real-world conditions.

    The result is greater synchronization across operations and improved supply chain coordination. Manufacturers can respond more effectively to variability while maintaining flow and reducing unnecessary disruptions. Additional insights can be found through demand-driven manufacturing resources that explore how these principles are applied in practice.

    The Role of Real-Time APS in Modern Master Scheduling

    Modern master scheduling relies on advanced planning and scheduling systems that continuously evaluate and adjust production plans. Unlike static tools, these systems enable real-time production scheduling by continuously aligning priorities and execution as conditions change.

    This capability allows manufacturers to respond immediately to disruptions, such as equipment issues or shifts in demand. Instead of waiting for periodic updates, schedules are continuously refined to reflect current realities.

    Event-driven systems also provide real-time production alerts, ensuring that teams are notified when issues arise. This enables faster response times and helps prevent disruptions from escalating. The combination of real-time recalculation and visibility creates a more resilient scheduling environment that supports both efficiency and reliability.

    How Master Scheduling Impacts Supply Chain and Operations Leaders

    Master scheduling has a direct impact on operational performance and supply chain coordination. For supply chain and operations leaders, it serves as a central framework that connects planning decisions to real-world execution. Without a well-structured master schedule, even the most experienced teams can struggle to align priorities, manage resources effectively, and respond to changing demand. As complexity increases across products, suppliers, and production sites, the importance of a reliable and adaptable scheduling process becomes even more critical.

    A strong master scheduling approach provides leaders with the visibility and control needed to balance competing demands across the organization. It helps ensure that commitments made to customers are achievable, resources are used efficiently, and disruptions are managed proactively rather than reactively. When master scheduling is aligned with real capacity and demand signals, it becomes a powerful tool for driving consistency, improving communication, and supporting better decision-making at every level of the business.

    For leaders responsible for delivering results, its effectiveness influences a wide range of outcomes:

    • On-time delivery performance: Accurate master schedules improve the ability to meet customer commitments consistently, strengthening relationships and enhancing competitiveness.
    • Inventory control: Better alignment between demand and production reduces excess inventory, freeing up capital and improving operational efficiency.
    • Reduced firefighting: Proactive planning minimizes the need for last-minute adjustments, allowing teams to focus on continuous improvement rather than reacting to issues.
    • Improved supply chain coordination: Synchronization across suppliers, production, and distribution ensures smoother operations and fewer disruptions.
    • Stronger cross-functional alignment: Shared visibility ensures that teams across departments operate with consistent priorities and expectations.

    These outcomes demonstrate why master scheduling remains a critical capability for organizations seeking to improve performance and maintain stability in complex environments.

    How Synchrono Software Supports Adaptive Master Scheduling

    Synchrono® provides a connected platform that supports adaptive master scheduling by integrating planning, execution, and visibility into a unified system. Instead of relying on static plans that quickly become outdated, this approach ensures that scheduling decisions remain aligned with real-time conditions on the shop floor and across the supply chain. By connecting data, people, and processes, manufacturers gain the ability to respond faster, coordinate more effectively, and maintain consistent production flow even as conditions change.

    Each component contributes to a more responsive and coordinated production environment:

    • SyncView®: Data visualization tools that provide real-time insight into schedules and performance, improving decision-making across the organization.
    • SyncKanban®: Electronic Kanban software that supports pull-based execution through, ensuring materials and production remain aligned with demand.

    Together, these solutions create a synchronized environment where master scheduling is continuously informed by real-time data, enabling manufacturers to maintain flow and adapt to changing conditions.

    Moving from Static Plans to Adaptive Scheduling

    As manufacturing complexity continues to grow, the need for adaptive scheduling becomes increasingly important. Static plans are no longer sufficient to manage dynamic environments where change is constant and variability is expected.

    Manufacturers looking to modernize master scheduling should focus on constraint-aware planning, seamless integration across systems, and real-time responsiveness. By adopting advanced tools and methodologies, organizations can improve alignment, reduce disruption, and create a more resilient production process that supports long-term growth.See how Synchrono® helps manufacturers move from static planning to real-time, adaptive scheduling.with capacity. 

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  • AI in Production Scheduling: What Discrete Manufacturers Need to Know

    AI in Production Scheduling: What Discrete Manufacturers Need to Know

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    Artificial intelligence is rapidly becoming part of the manufacturing conversation. For discrete manufacturers in particular, the question is no longer whether AI will influence production scheduling, but how. Understanding what AI truly means in this context, and what it does not, can help organizations make informed decisions about the future of their operations.

    What AI Means in the Context of Production Scheduling

    In production scheduling software, AI does not mean replacing planners with fully autonomous systems. Instead, it refers to the use of advanced algorithms, pattern recognition, and data-driven decision support to enhance scheduling logic. AI strengthens the ability of software to analyze large amounts of production data, recognize patterns in variability, and suggest adjustments based on real-world conditions.

    Traditional rule-based systems follow predefined logic. AI-enhanced systems build on those foundations, learning from historical and real-time data to improve recommendations. It’s important to set expectations clearly: AI is an enhancement to solid planning fundamentals, not a shortcut around them. Strong AI production scheduling still relies on accurate data, realistic capacity , and disciplined processes.

    How Traditional Production Scheduling Has Worked

    Historically, discrete manufacturers have relied on finite capacity planning as the backbone of scheduling. Planners evaluated available resources, considered order priorities, and built schedules that aligned with labor, materials, and machine constraints. Many organizations still use spreadsheet-based tools or static ERP outputs to manage these schedules. 

    These early systems relied on ERP or MRP planning logic that generated schedules before all constraints were fully considered. While these approaches can work in stable environments, they often break down when variability increases. Static schedules struggle to adapt to machine downtime, urgent orders, or supply disruptions could quickly make schedules outdated, particularly in discrete manufacturing where small changes can cascade through the plan. 

    This is especially true in discrete manufacturing where products follow unique routings, bills of material, and shared resource dependencies that make scheduling more complex than process environments. Understanding the nuances of discrete vs process manufacturing highlights why discrete operations require more dynamic scheduling capabilities. When products are built from individual components with unique routings and bills of material, adaptability becomes essential.

    Where AI Adds Value to Production Scheduling

    AI contributes value by improving how quickly and intelligently scheduling systems respond to change. Rather than relying solely on manual recalculations or periodic schedule rebuilds, AI-enhanced systems continuously analyze incoming data and recommend adjustments.

    Key areas where AI supports production scheduling include:

    •  Improving Predictability and Visibility – AI can anticipate disruptions such as equipment downtime, material shortages, or order changes and quickly evaluate their impact on downstream operations.
    • Enabling Scenario Planning and What-If Analysis – Advanced systems can assess alternative sequencing or resource allocation strategies in seconds, giving planners clearer insight into trade-offs.
    • Supporting real-time decision-making – By processing shop floor data as events occur, AI helps ensure schedules reflect current conditions rather than outdated assumptions.

    Advanced scheduling systems use algorithms to continuously assess order priorities, material availability, and capacity constraints. The goal is not perfect optimization, but more accurate, more responsive scheduling that can adapt as conditions change. In dynamic manufacturing environments, the value comes from improving decision quality and schedule stability, not chasing a theoretical best-case plan.

    AI vs. Fully Automated Scheduling Expectations

    One common misconception is that AI means schedules will run themselves. In reality, effective production scheduling still depends on human expertise. Planners understand customer priorities, strategic trade-offs, and operational nuances that production scheduling software alone cannot fully interpret.

    AI supports planners by highlighting risks, identifying potential conflicts, and suggesting feasible alternatives. It does not eliminate the need for oversight. Instead, it shifts the planner’s role from manual schedule builder to informed decision-maker.

    Rather than spending hours rebuilding schedules, planners can focus on analyzing scenarios, aligning priorities, and collaborating across departments. AI becomes a decision-support partner, not a replacement for human judgment.

    The Role of Real-Time Data in AI-Driven Scheduling

    AI-driven scheduling is only as effective as the data it receives. Real-time updates from the shop floor, such as job completions, machine status changes, and material availability—allow the system to adjust schedules dynamically. Event-driven feedback ensures that changes are reflected immediately, reducing lag between disruption and response.

    In discrete manufacturing environments, where variability is constant and order complexity is high, this visibility is critical. Without timely data, even the most advanced AI models revert to static assumptions.

    AI and Demand-Driven, Pull-Based Manufacturing

    AI also supports pull-based scheduling models by aligning production with actual demand signals rather than forecasted output. In demand-driven environments, production decisions are triggered by real consumption and customer orders, not by speculative planning.

    By analyzing demand patterns and capacity constraints simultaneously, AI can help maintain flow while reducing overproduction. This reinforces the principles of demand-driven manufacturing and minimizes schedule instability caused by unnecessary work releases.

    In pull-based systems, the focus shifts from pushing orders through the plant to managing flow around real demand and capacity constraints. AI enhances this approach by providing clearer visibility into how decisions affect throughput and delivery performance.

    What Discrete Manufacturers Should Look for in AI Scheduling Software

    As AI becomes a more common feature in production systems, manufacturers should evaluate claims carefully. Not all AI is created equal, and marketing language can sometimes obscure practical realities.

    When assessing AI capabilities, consider:

    • Transparency – Can the system clearly explain how its recommendations are generated? Understanding the logic behind suggestions builds trust and accountability.
    • Adaptability – Does the software adjust to real-world variability, or does it rely on periodic batch recalculations?
    • Integration – Can it connect seamlessly with existing manufacturing IT systems? Strong AI should complement, not replace, proven foundations in manufacturing planning and scheduling.

    AI should strengthen your existing scheduling strategy, not introduce unnecessary complexity.

    How Synchrono Approaches AI in Real-Time Production Scheduling

    Synchrono applies AI within its advanced planning and scheduling software to enhance adaptability and real-time responsiveness. The focus is not on replacing planners, but on providing better visibility, faster recalculations, and decision support aligned with discrete manufacturing complexity.

    By combining adaptive scheduling logic with event-driven updates, Synchrono enables systems to reflect real-world conditions continuously. AI-driven insights can help planners identify emerging risks, evaluate trade-offs, and maintain flow across interconnected operations.

    In complex, high-mix environments, this adaptive approach ensures that schedules remain grounded in practical constraints while still responding quickly to change.

    Planning for the Future of Production Scheduling

    As AI continues to evolve, manufacturers can expect greater responsiveness, improved visibility, and deeper insight into scheduling performance. However, strong fundamentals, accurate data, finite capacity scheduling logic, and disciplined processes, will remain essential.

    Organizations that combine sound planning practices with AI-enhanced adaptability will be best positioned to compete in increasingly dynamic markets.

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  • The Hard Truth About MRP Software – Silos, Delays, and Broken Promises

    The Hard Truth About MRP Software – Silos, Delays, and Broken Promises

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    Ask anyone handling production planning in a complex manufacturing environment what their greatest obstacles to success are. If they’re being honest, you’ll probably hear common complaints like these:

    “The organization is too siloed. Departments that should be working together don’t seem capable of collaborating.”

    “Sales keeps promising delivery dates we can’t meet. I know we need to be competitive to win the order, but we can’t just conjure up capacity out of thin air.”

    “We can’t seem to stick to the production schedule. Even when we think we’re being totally realistic, we still seem to find a way to miss delivery dates. It’s hurting our credibility with customers.”

    While these may all sound like “people” complaints, the answer to these challenges does not lie in your human resources department.

    In this post, we’re going to dive into why the software you use to manage your manufacturing production may lie at the root of your problem. The good news is that you don’t need to replace any of your people to turn things around. You don’t even need to replace your current systems. Like all production environments, you just need the right tool for the job.

    The Planning Gap in Modern Manufacturing 

    When Materials Resource Planning (MRP) was introduced in the 1960’s it was heralded as the answer to solving the perennial problem of not having the right inventory available at the right time. Keep in mind that Just-in-Time replenishment and Lean Manufacturing principles were still just a twinkle in the eye of a couple of manufacturing engineers at Toyota in Japan. Manufacturers also had fewer challenges finding people that wanted to work in a factory, so people resources weren’t as constrained as they are today. 

    Advancements have been made, such as the integration of MRP into ERP. This eliminated some of the time-intensive, error-prone double entry bookkeeping that plagued manufacturers in the early days. Nevertheless, MRP systems still suffer from several critical shortcomings: 

    • MRP decouples supply and demand at every level in the bill of materials. Each level is kept in loose alignment based on the due date of the production order and the static lead time of the part. This decoupling causes the following issues in today’s manufacturing
      • When MRP was first introduced, inventory was considered solely as an asset, the same as cash. Inventory could be used to buffer against this variability at every level of the bill of material, further decoupling the manufacturing process. Then Lean and JIT came along and taught manufacturers the real cost of inventory. As inventory was leaned out of the system, MRP became responsible for managing a level of variability and synchronization it was never designed to handle.
      • Manufacturing environments are, by their nature, tightly coupled dynamic environments.  MRP obfuscates this with no direct line of sight between a miss or delay at any lower-level purchase order or production order and the end customer order.   
      • Synchronization is envisioned as being carried out through approval of MRP action messages that redate the hundreds or thousands of decoupled production orders to bring their dates into alignment.  I have yet to be in a manufacturing environment where production orders are kept in alignment using this process. 
    • MRP still assumes infinite capacity. Largely this means that MRP is producing an infeasible schedule without insights on where existing or emerging bottlenecks are within the production process. To learn how to address this challenge, check out our blog post on finite capacity planning.
    • Since MRP does not consider resource capacity, it can do very little to help the manufacturer identify and manage capacity constraints. Without finite capacity planning, MRP is at odds with creating the pull-based manufacturing processes envisioned by methodologies like Theory of Constraints and Lean Manufacturing.  
    • MRP plans in daily buckets and often does not prioritize work on resources at any level lower than day.  This further erodes MRP’s ability to synchronize operations in today’s manufacturing environments.  Ensuring priority alignment between every step in the routing and every level in the bill of materials is critical to flow and throughput.  MRP wasn’t designed for this reality and therefore can’t remain responsible for orchestrating today’s planning and scheduling. 

    The bottom line is that MRP systems were designed for manufacturing as it was 60+ years ago, not for the manufacturing of today. This is why most manufacturers today are using MRP to launch production orders and purchase orders, but are carrying out scheduling via spreadsheets. If you’re still using spreadsheets, you might want to go check out our 7 tips for moving away from them.

    manufacturing employees arguing about MRP

    Decoupled Systems, Decoupled Teams

    As anyone who has ever worked in manufacturing knows, collaboration between teams is critical. Even those who rarely set foot on the factory floor, such as your sales and customer service teams, need to be on the same page with production. Since MRP offers limited visibility into factory capacity or order progress, these silos cost the manufacturer time, money, and reputation. Here are a few examples of how lack of visibility creates chaos throughout the organization: 

    Misaligned Production – In dynamic markets, production priorities can change quickly, but MRP systems do very little to maintain alignment of priorities. Valuable time is lost as planners work to adapt schedules

    Manual Interventions – If the change is significant, production teams may be asked to stop working to wait for the new orders. Downtime can cost manufacturers thousands of dollars per hour, but continuing to produce items that are no longer needed can be just as expensive. Once a new schedule is created, it must also be manually communicated to production teams so that work can be started again.

    Poor Customer Service – As production disruptions and changing priorities impact the production schedule, it almost always causes some orders to slip. Customers may not find out about the delay until they call to check the status of their order after the delivery date has passed. While the delay might have been acceptable if they were informed ahead of time, they now have to adapt their plans to the new schedule on short notice. 

    Inaccurate Delivery Promises – Meanwhile, sales continues to provide delivery dates according to whatever standard lead times they were given. (Or based on what they think they need to promise to get the order.) At best, without visibility into capacity, they have no idea whether the promised dates can be met.

    Some manufacturers try to break down silos with weekly or biweekly Sales and Operations planning meetings. These can be time-consuming, painful meetings. Worse yet, given the dynamic nature of complex manufacturing environments, any benefits are short-lived.

    Upgrade your manufacturing toolbox with SyncManufacturing

    APS: Purpose Built for Complex Manufacturing

    Advanced Planning and Scheduling systems (APS), like SyncManufacturing® from Synchrono®, are designed to help production planners and schedulers optimize production to meet demand. Unlike traditional MRP solutions, APS takes into consideration capacity constraints (also known as finite capacity planning) as well as inventory availability and dynamically calculated lead times – and in real time. This means sales knows what it can promise to customers. (No more excuses!)  

    When schedules change, SyncManufacturing automatically aligns all resources through every level of the bill of materials. The impact of the change is known to everyone in the environment.  Operators always know the priority of the work assigned to them, production supervisors automatically know the urgency of work within cells.  In addition, procurement knows any changes in priority they need to communicate to their suppliers and sales and customer service can proactively reach out to their customers if there is a positive or negative change to their expected delivery. 

    SyncManufacturing can also help production managers identify the real constraints in their production environment.  These constraints can be leveraged using a patented scheduling algorithm called CONLOADTM to create the type of pull system envisioned in Theory of Constraints and Lean Manufacturing. 

    Finally, SyncManufacturing, through automated allocation processes,  establishes the direct links and tight coupling between production orders at all levels of the bill of materials.  This allocation brings the digital model in alignment with the highly connected manufacturing environments of today.  The impact of a missed purchase order delivery or a machine breakdown is known instantly throughout the entire value stream allowing informed decision-making on how to resolve or clear visibility to inform the customer if a delivery will be missed. 

    Add the Right Tool to Your Manufacturing Toolbox

    SyncManufacturing provides real-time integration into existing ERP systems, including MRP. So, as we said at the beginning of this post, manufacturers do not typically need to replace their current software, including their MRP systems, to take advantage of SyncManufacturing. Think of it as adding one tool to your toolbox that you never knew you always needed.

    To learn more, reach out to us. You can contact us with questions or request a demo below.

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  • Finite Capacity Planning: The Key to Meeting Customer Expectations 

    Finite Capacity Planning: The Key to Meeting Customer Expectations 

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    In competitive markets, meeting customer commitments is critical. If resources like inventory, people, and equipment were always readily available, consistently delivering on time wouldn’t be such a challenge. The difficulty is that nearly all manufacturing operations have constraints. In this post, I will drill down into finite capacity planning, how it helps manufacturers live up to their promises, and how to get started. 

    What Are Resource Constraints? 

    As the name suggests, finite capacity planning considers resource constraints when scheduling production to meet customer demand. Work centers, machines, and labor can all be defined as the “resources” necessary to perform a manufacturing operation on an item’s routing. Because these operations take time and the number of resources is not unlimited, each resource has a finite capacity (ability to do work) that constrains its throughput.  

    However, for a given mix of demand, there is always one resource that limits the throughput of the entire factory. This is referred to as the constraint. When the capacity of the constraint resource exceeds the demand, we say the constraint is the market (or the sales team). As positive as that sounds, idle resources do not make for profitable operations. On the other hand, if demand exceeds capacity, the business is vulnerable to supply chain variability and other unforeseen events.  

    Ideally, demand and capacity would be relatively equal, but since we don’t live in an ideal world, planners need visibility into constraints so they can optimize plant performance. They also need to be able to share this information easily with those who interface with customers so they can avoid overpromising and underdelivering. It’s stressful enough when demand exceeds capacity. Promising unrealistic delivery dates to customers makes it so much worse! 

    Are You Using Finite Capacity Planning? 

    It’s not a question of whether you’re using finite capacity planning – it’s a question of at what levels you’re making capacity-planning decisions. Operations know if a schedule is achievable and will make adjustments if it is not realistic.  

    However, if finite capacity planning is only happening at the operational level, you’re bound to disappoint either your customers or your executives (or both). In manual systems with low visibility, floor personnel often make decisions about what to work on based on what seems important to them, because they don’t have visibility into what is most important to the business. Furthermore, their decisions can alter resource capacity. When that information does not automatically flow through the organization, planners and customer-facing teams are often left in the dark about changes to timelines and available resource capacity.  

    Here’s the bottom line for operational finite capacity planning: When demand is greater than your capacity, on-time delivery performance will be at risk. When capacity is greater than demand, you’re leaving profit on the table. In that sense, the goal of finite capacity planning is to maximize profit by balancing demand with capacity. 

    finite capacity planning goal

    MRP Does Not Use Finite Capacity Planning 

    Plenty of salespeople talk about MRP as though it is a finite capacity planning tool, so this needs to be said: MRP does not use finite capacity planning. MRP calculations provide start dates for manufacturing orders, assuming they will be completed according to each item’s lead time. However, Little’s Law (throughput = WIP / lead time) says that for a fixed capacity (throughput), lead time changes depending on the WIP level, and MRP does nothing to keep WIP stable. When lead time is assumed to be constant regardless of the WIP level, that is infinite capacity planning. 

    Finite Capacity Planning Is Not Pull Production 

    This is another common misconception. While finite capacity planning provides dynamic start and completion dates for manufacturing operations based on resource capacity, it is not the same as pull production! Pull production is a technique for releasing manufacturing orders to the shop floor that aims to stabilize WIP, achieve maximum throughput, and increase lead time confidence. Common pull production methods include kanban, CONWIP, and Synchrono’s patented CONLOAD™. Although they are distinct, combining finite capacity planning and pull production results in a more stable schedule than using either method alone. 

    What’s the Fastest Way to Implement Finite Capacity Planning? 

    At its simplest, finite capacity planning means setting start and end times that do not overlap for each manufacturing operation at a resource. The different strategies of finite capacity planning all set the sequence of work differently. Some options include ordering by due date, prioritizing by shortest processing time, or by whichever customer or salesperson is most vocal on a given day. (Unfortunately, the last method is the most common in our experience!) 

    One way to quickly implement finite capacity planning is choosing a software that supports finite capacity planning strategies. SyncManufacturing enriches these strategies by integrating with your ERP system and having finite capacity planning capabilities such as Detailed Sequencing. Detailed Sequencing creates finite schedules for factory resources and calculates a “cycle consumption percentage” for each operation, indicating how past-due or ahead of schedule it is. For example, if Item A has a lead time of two weeks and Item B has a lead time of four weeks, but both items start work at the same resource, the first operation at Item B will have a higher cycle consumption percentage than Item A and will be prioritized first. SyncManufacturing combines this with the operation’s expected availability date to generate the finite schedule, which can be manually adjusted if desired. 

    Advanced planning and scheduling (APS) systems, such as SyncManufacturing, include and expand on finite capacity scheduling by including an order release algorithm to implement pull production and modules to manage material constraints and shortages. Through dashboards and alerts, other areas of the business have visibility into the schedule, e.g., sales can immediately give realistic delivery dates to their customers. To learn more about the impact of Advanced Planning and Scheduling software (APS) on the rest of the organization, read: The Ripple Effect of Implementing APS. 

    If this sounds like something that would help streamline your operations and increase profitability, you’re in good company! Contact us and request a demo to learn more about how SyncManufacturing can assist you with finite capacity planning and much more. 

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  • 7 Tips for Moving Away from Production Planning Spreadsheets 

    7 Tips for Moving Away from Production Planning Spreadsheets 

    Production planners and schedulers can get pretty attached to their spreadsheets. Even if they don’t work as well as they’d like, chances are, they’ve invested dozens, if not hundreds, of hours into getting them to work well enough to offer some benefit. Although the advantages of an Advanced Planning and Scheduling (APS) implementation are compelling, leaving those spreadsheets behind can be a bit overwhelming and stressful. 

    To help ensure a smooth and stress-free transition, here are seven practical tips for replacing your production and planning spreadsheets with an APS application: 

    #1 Start with a thorough pre-implementation assessment.  

    This assessment should include both technical and cultural readiness. On the technical side, the team needs to determine how much of the production process is defined in existing bills of material and routing processes. In some companies this information exists mainly as “tribal knowledge.” If that’s the case in your organization, you will need to formalize and define the details in your existing ERP system. Spreadsheet data is unstructured, so no matter how well-maintained it may be, it cannot be used by an APS system. 

    On the cultural side of the equation, you need to evaluate organizational commitment across many departments. Manufacturing is a connected process, so APS isn’t just about production scheduling. Buyers need to maintain electronic purchase orders, engineers need to update and maintain bills of material and routings, the shop floor needs to execute to the structured schedule, and sales needs to commit to making realistic promises based on the capable-to-promise dates produced by the APS system. Finally, leadership needs to fully support the transition and step in, if necessary, to ensure all commitments are being met.  

    For more on the enterprise-wide impact of APS, read our recent post: The Ripple Effect of Implementing APS.

    #2 Set clear objectives.  

    Ideally, you’ll want to set objectives before selecting an APS system as it can help the team make a better choice. Start by defining the top 3 to 5 improvements you want to achieve by implementing an APS system. Tangible, measurable objectives are best, such as improving on-time delivery, increasing throughput, reducing lead-times, and reducing expediting. If you decide to include less tangible objectives, such as reducing the chaos, make sure you have a clear understanding of what that looks like.  

    During objective setting, take the time to discuss where and how using spreadsheets for scheduling has hindered you from achieving these objectives. This can help the organization better grasp the need for change. Then, once you’ve selected a system, these objectives will help to focus the implementation and help you avoid scope creep. They will also allow you to measure the success of the implementation once it is complete. 

    #3 Assemble the right team.  

    As mentioned in tip #1, APS goes beyond scheduling, so it is essential to assemble a cross-functional team that includes planners, schedulers, purchasing, sales, engineering, materials, and shop floor supervisors. Ideally, everyone on the team will be enthusiastic about the project, but it is okay to have a few skeptics so long as they demonstrate an open mind and a willingness to keep the project moving forward toward the project objectives. Most critically, you’ll need a strong executive sponsor and an internal implementation lead with a good working knowledge of the business and a good rapport with other team members.  
     

    There are two types of team members to avoid. First are the complainers and skeptics who sit back, wanting others to prove everything to them before they lift a finger. (We’ve probably all seen the type!) Sadly, if the author of the spreadsheet you currently use seems overly proud (or defensive) of their creation every time it is mentioned, you may need to count them out as well. A strong executive leader and team leader with good people skills may be able to bring this latter type around. Either way, leadership should make it clear that the spreadsheets die once the system goes live. 

    #4 Identify implementation risks.

    You’ve already overcome one of the greatest risks by assembling a team of individuals who are eager to see the project succeed. Now, you need to identify other potential risks that could derail your APS implementation.  These risks could be related to data concerns, such as poor routing, incomplete bills of material, and inadequate inventory accuracy. Organizations that rely on spreadsheets typically fail to maintain the data in their ERP system. As mentioned in tip #1, you may need to take some time, filling in missing bills of material and routing information before implementing APS.

    Other risks are more cultural. Some manufacturing enterprises have a “wild west” approach that adds to the chaos. APS can address that, but only if the organization is willing to change and embrace a structured approach to scheduling within the APS. You may want to assess the likelihood of resistance to change by department, e.g., the shop floor has a history of not adhering to production schedules or management support for projects has waned in the past. A frank conversation with senior leadership about likely risks can head off a lot of issues.

    #5 Avoid scope creep.

    Anyone who’s ever been involved in a complex implementation project is likely to be very familiar with the concept of scope creep.   Going live as quickly as possible can provide early ROI and keep enthusiasm high, which in turn, encourages openness to change. If possible, make getting rid of spreadsheets entirely one of your first go-live objectives. That lowers the risk of backsliding. Then, backed by strong leadership, continue to drive incremental improvements that allow the team to reap further rewards.

    #6 Invest in training.

    Invest in sufficient training to ensure your staff is comfortable with the new software and can utilize its full potential. Training is especially important for spreadsheet users as they are being asked to make more significant changes to their daily work processes than most other roles. Business doesn’t stop during an APS implementation, and users are taking in a large amount of new information when learning the new system. Most of the learning of the new system is going to happen post-go-live. To ensure success, it’s important to have a plan for ongoing training during the first few months after the go-live date. Without continuous support, individuals may revert to old habits when faced with pressure for results, especially if they do not fully understand the new system. You need to train and re-enforce how to leverage the power of APS to ultimately reach success.

    It is also critical to have an ongoing training plan as people will change roles and new people will come in with different ways of doing things. The last thing you want is for a new production planner or scheduler to bring in their spreadsheets and derail your progress. To keep spreadsheets out of production planning and scheduling systems and processes, thoroughly and quickly train replacements.

    #7 Stay vigilant and look for continuous improvement opportunities! 

    In operations meetings, look for data points generated by or presented in spreadsheet format. Backsliding like this may be a sign that more training is needed if the user didn’t understand how to get the data out of the APS system. It can also be an opportunity for continuous improvement.  A regular cadence of system reviews can help ensure your APS implementation is keeping up with the changing needs of the business.

    We’re here to help!

    Over the years, we’ve helped our clients win over hundreds of spreadsheet users. If you’re looking to address your production and scheduling challenges with an APS system, take the next step by scheduling a demo of SyncManufacturing®. Invite your spreadsheet users, too, so we can start answering their questions and help you get them on board early in the process. 

    Schedule a demo
  • The Ripple Effect of Implementing APS

    The Ripple Effect of Implementing APS

    Advanced Planning and Scheduling (APS) software can dramatically simplify daily life for production planners and schedulers tasked with creating and optimizing production plans. However, the benefits of optimized production extend far beyond the role of production planning and scheduling. With the right tools, an advanced planning system can positively impact every corner of your enterprise, reshaping how teams collaborate, strategize, and operate.

     

    How APS Drives Enterprise-Wide Performance Improvement 

    As manufacturing employees from the C-Suite to parts pickers can attest, an immense amount of time is often wasted by manual processes and tasks: checking factory capacity, quoting customer delivery, tracking order status, (re)prioritizing orders, expediting materials and orders, (re)promising delivery dates, and so on. Much of this wasted time is caused by factors such as: 

    • Production plans that aren’t aligned to demand  
    • Manual processes that can’t keep up with the business 
    • Inaccurate or out-of-date information 
    • Lack of visibility into production plans 
    • Miscues between departments 

     

    Implementing APS can address each of these challenges and more, allowing benefits to be realized almost immediately at every level of the organization. 

    APS for Procurement Image

     

    Supply Chain/Procurement 

    An essential partner in production execution, it’s no surprise that this department has a lot to gain from an APS implementation. Procurement is responsible for getting the parts and raw materials to ensure the production plan can be carried out. Of course, they also need to better understand what will be required and by when so inventory levels and costs can be kept in check. APS systems support their efforts in several ways:   

    • Synchronizing procurement with the actual, capacity-constrained production scheduling aligns material replenishment with scheduled usage, helping to keep inventory levels low. 
    • Procurement has visibility into prioritized item shortages, making it easier for them to adapt to changes in production schedules and effectively expedite orders as necessary. 
    • Soft pegging of purchase orders to shortages allows procurement to quickly identify the demand(s) driving the shortages and the purchase orders necessary to supply them. 
    • Capable-to-promise dates (CTPD) are fully vetted for capacity and materials. This prevents unrealistic promises from being made that put pressure on procurement and add unnecessary costs. 
    • Expedite and slide signals are tied directly to the finite production schedule, so procurement is automatically notified.  

     

     

    Advanced Planning and Scheduling for Sales image

    Sales  

    To drive customer satisfaction, sales and production must work together. Unfortunately, that relationship is often strained due to lack of visibility into production capacity and status. Sales has a lot to gain from an APS implementation, including: 

    • CPTD are based on real-time production capacity and material availability. This allows sales to immediately provide reliable delivery date commitments, making sales cycles shorter and more efficient. 
    • CPTD are kept in alignment with current manufacturing resources, and sales is notified should an order begin to slip.  
    • Real-time, self-serve order status visibility vastly reduces the number of emails, phone calls, and chats with production control, making everyone more efficient and effective. 
    • Increased visibility and ability to meet delivery commitments builds customer trust and satisfaction. 
    • When material or capacity contention exists between two or more orders, visibility into constraints turns decision-making into a strategic rather than tactical approach and helps align decisions to corporate objectives. 

     

     

    APS for Production Operations image

    Production Operations  

    Employee turnover is costly, so a manufacturing environment that functions like a well-oiled machine is an excellent employee retention asset. Here are a few ways those on the factory floor benefit from APS: 

    • A real-time priority (dispatch) list keeps the shop floor in perfect alignment with the current schedule. 
    • Expedite signals are automated, limiting the need for expediters because the operators already know when a job should be expedited. 
    • Production workers have upstream visibility, so they know when work will arrive. 
    • They also have visibility into work in the queue and ready to process. There is no need to guess what to work on next! 
    • Implementing an APS system drives documentation, e.g., production processes, primary and alternate resources, and estimated run and setup times. This documentation drives agreement, aids in process optimization and improvement, and shortens learning cycles for new employees. 

     

     

    APS for Production Control

    Production Control 

    Production control managers play a pivotal role in ensuring manufacturing operations are carried out efficiently, on time, and within budget. APS software helps them by: 

    • Prioritizing the preparation of production documentation (drawings, work orders, quality plans, etc.) based on the finite production schedule. 
    • Providing a gating schedule to plan and execute gating/release of work to the shop floor based on the production pull. 

     

     

    APS for Engineer

    Engineering 

    Engineering often gets overlooked when discussing APS benefits, but for Engineer-to-Order environments or highly engineered products, APS drives real benefits for this group as well.   

    • Less time is wasted because production support activities are tied directly to the finite production schedule, ensuring they are properly prioritized and timed. 
    • Engineers have visibility into the status of items, so they know which items are impacted by engineering changes and they don’t waste time making unneeded changes to obsolete items. 

     

     

    APS for Quality Control

    Quality Control 

    A critical component of the production workflow for complex manufacturing, APS benefits for the QC/QA department include: 

    • The ability to link non-conformances to work for visibility, prioritization, and schedule impact. 
    • Prioritization of incoming inspection work ensures urgent items are identified and addressed first. 

     

     

    APS for Executive

    Executive Leadership 

    With real-time visibility across the entire enterprise, executives can make more informed strategy decisions and ensure support for business objectives. For example: 

    • APS provides insights into enterprise capabilities and future business projects, giving executives the information to make key decisions on where to invest to ensure they can meet present and future demand. 
    • Prioritization rules that support the strategic goals of the enterprise can be embedded into APS workflows. 
    • APS provides tools to direct continuous improvement activities that will yield the highest benefits to the organization. 

     

     

    APS for IT image

    Information Technology (IT) 

    Last but not least, APS benefits the IT department, which is often tasked with implementing and supporting operational technologies.  

    • APS allows IT to leverage investments in existing IT solutions, such as ERP.  
    • APS provides additional capabilities that deliver hard returns for manufacturing and supply chain operations.   
    • Once implemented, APS requires little IT intervention beyond general server maintenance. 

     

    Explore the Benefits of Better Prioritization 

    Prioritization is a critical manufacturing operational strategy. When production plans are properly prioritized, this results in the ripple benefits we’ve talked about in this post. In an upcoming post, we’ll dig deeper into how APS helps focus the enterprise on critical priorities to keep everyone on track.  

    In the meantime, we invite you to learn more about how APS can help your business by reaching out to us. We’re happy to answer your questions. If you’d like to see APS in action, we can set up a demonstration of SyncManufacturing®, our patented planning and scheduling tools that can help you tackle even the most unique, complex production processes with clarity, control, and confidence. 

    Contact Us 

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