𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐜𝐞 𝐄𝐑𝐏 - 𝐌𝐄𝐒 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 : 𝑺𝒆𝒂𝒎𝒍𝒆𝒔𝒔 𝑫𝒂𝒕𝒂 𝑭𝒍𝒐𝒘: MES focuses on real-time monitoring and control of manufacturing processes, while ERP handles high-level business operations like finance, inventory, and procurement. Integrating the two ensures smooth data flow between the shop floor and the business level, eliminating data silos and duplication. 𝑹𝒆𝒂𝒍-𝑻𝒊𝒎𝒆 𝑫𝒆𝒄𝒊𝒔𝒊𝒐𝒏 𝑴𝒂𝒌𝒊𝒏𝒈: MES provides detailed, real-time data on production, machine performance, and quality, while ERP offers insights into resource planning and demand forecasts. Integrating these systems enables faster and more informed decision-making across all departments, from production to supply chain management. 𝑶𝒑𝒕𝒊𝒎𝒊𝒛𝒆𝒅 𝑹𝒆𝒔𝒐𝒖𝒓𝒄𝒆 𝑴𝒂𝒏𝒂𝒈𝒆𝒎𝒆𝒏𝒕: ERP helps plan resources (materials, labor, and machines) based on customer orders and forecasts. MES uses this data to execute work orders and ensure efficient use of these resources on the shop floor. The integration allows for better synchronization between planning and execution. 𝑰𝒎𝒑𝒓𝒐𝒗𝒆𝒅 𝑷𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏 𝑺𝒄𝒉𝒆𝒅𝒖𝒍𝒊𝒏𝒈: MES handles detailed production scheduling, while ERP provides a high-level plan based on business objectives. Integration ensures that any changes in production schedules (due to machine breakdowns or order changes) are communicated in real time to ERP, helping adjust supply chain and procurement activities accordingly. 𝑬𝒏𝒉𝒂𝒏𝒄𝒆𝒅 𝑻𝒓𝒂𝒄𝒆𝒂𝒃𝒊𝒍𝒊𝒕𝒚 𝒂𝒏𝒅 𝑪𝒐𝒎𝒑𝒍𝒊𝒂𝒏𝒄𝒆: MES tracks detailed product data throughout the production process, while ERP stores customer orders, material batches, and delivery information. Integration ensures full traceability of products from raw materials to finished goods, helping meet regulatory compliance and quality standards. 𝑹𝒆𝒅𝒖𝒄𝒆𝒅 𝑶𝒑𝒆𝒓𝒂𝒕𝒊𝒐𝒏𝒂𝒍 𝑪𝒐𝒔𝒕𝒔: By integrating MES with ERP, manufacturers can optimize processes, reduce manual data entry, and minimize errors, which in turn reduces operational costs and improves productivity. 𝑨𝒄𝒄𝒖𝒓𝒂𝒕𝒆 𝑷𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏 𝒂𝒏𝒅 𝑭𝒊𝒏𝒂𝒏𝒄𝒊𝒂𝒍 𝑹𝒆𝒑𝒐𝒓𝒕𝒊𝒏𝒈: With MES-ERP integration, production data (e.g., output, material usage, labor costs) is automatically sent to ERP systems. This enables more accurate financial reporting, cost accounting, and profitability analysis. 𝑺𝒖𝒑𝒑𝒍𝒚 𝑪𝒉𝒂𝒊𝒏 𝑶𝒑𝒕𝒊𝒎𝒊𝒛𝒂𝒕𝒊𝒐𝒏: Integration allows ERP systems to receive real-time updates from the MES about production status and inventory levels. This helps optimize the supply chain by ensuring timely procurement of materials and efficient delivery of finished products. 𝑺𝒖𝒎𝒎𝒂𝒓𝒚 : MES-ERP integration is essential for aligning production with business objectives, improving resource utilization, ensuring quality, and enhancing overall operational efficiency. This integration drives both productivity on the shop floor and strategic decision-making at the enterprise level.
Synchronization of Supply Chain Activities
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Summary
Synchronization of supply chain activities means coordinating tasks and information across departments and partners to ensure that products move smoothly from suppliers to customers with minimal delays and mismatches. This approach connects planning, production, and logistics, so everyone works from the same plan and adapts quickly to changes.
- Connect data systems: Integrate software like ERP and MES so production updates are instantly shared with business planning, which helps teams respond quickly to new demands or disruptions.
- Align scheduling: Use master production schedules and cross-department meetings to make sure sales forecasts, inventory targets, and manufacturing plans all match up throughout the month.
- Boost supply chain visibility: Adopt real-time tracking tools and digital twins to monitor supply flows from suppliers to customers, making it easier to spot and solve potential issues before they cause delays.
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APICS - CPIM Lessons for Supply Chain Management Experts My Take: Master Production Scheduling (MPS): The Heartbeat of Manufacturing Efficiency Struggling to align production with customer demand? The key lies in Master Production Scheduling (MPS)—a critical driver for transforming strategic plans into actionable production schedules. Here’s why MPS matters: Key Takeaways from "Master Production Scheduling" Bridging Strategy & Execution: MPS translates your Sales & Operations Plan (S&OP) into specific, producible outputs. It’s not just a forecast—it’s a commitment to deliver. Acts as the critical link between sales promises and manufacturing capabilities, ensuring alignment with company goals. Adapts to Your Business Model: Make-to-Stock: MPS optimizes inventory for high-volume consumer goods. Make-to-Order: Customizes schedules for unique customer requirements. Assemble-to-Order (e.g., Dell, Hyster): Balances flexibility with efficiency by planning modular components ahead of final assembly. Drives Coordination Across Functions: Integrates with Material Requirements Planning (MRP) and ERP systems to synchronize procurement, capacity planning, and logistics. Enables data-driven trade-offs between sales demands and production feasibility. Stability & Agility: A stable MPS reduces disruptions, while rolling updates (“rolling through time”) keep schedules responsive to real-world changes. Why This Matters for Your Supply Chain Customer Satisfaction: Accurate delivery promises = happier clients. Resource Optimization: Minimize waste by aligning production with actual demand. Strategic Budgeting: MPS feeds into financial planning, improving cash flow and capital investment decisions. Want to Dive Deeper? The attached chapter from Manufacturing Planning and Control for Supply Chain Management breaks down MPS frameworks, real-world examples, and techniques to stabilize your production schedules. Whether you’re in operations, supply chain, or leadership, this is your blueprint for repeatable success. Download the full chapter to explore: How to structure bills of materials (BOM) for MPS efficiency. The role of the Final Assembly Schedule (FAS) in last-minute customization. Best practices for MPS stability in volatile markets. #SupplyChainManagement #Manufacturing #ProductionPlanning #OperationsExcellence #ERP #LeanManufacturing
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Sales & Operations Planning in FMCG In the fast paced, competitive world of Fast Moving Consumer Goods (FMCG), alignment between demand and supply is key. Sales and Operations Planning (S&OP) provides a structured, cross functional process to ensure that supply chain, sales, finance and marketing work together. S&OP is a collaborative decision making process that balances supply & demand, links operational planning with financial planning & aligns business goals across departments summerized as follows:- 1. S&OP Framework Overview : A typical S&OP cycle consists of synchronized activities across multiple business units: Key Components: - Demand Planning - Supply Planning - Financial Reconciliation - Executive Review - Performance Tracking This monthly cycle ensures that all stake holders contribute to a single, agreed upon plan. 2. Demand Planning: It forecasts customer needs using a mix of historical data, market trends & promotional insights. Key Activities: - Collaborative forecasting with sales & marketing - Forecast adjustment for new products & trade promotions - Managing forecast bias & accuracy 3. Supply Planning: It matches demand forecasts with production, inventory & distribution capacity. Focus Areas: - Capacity & material planning - Inventory policies (safety stock, min max levels) - Procurement lead times and supplier constraints - Multi tier network planning for fast moving SKUs 4. Financial Integration: Financial alignment ensures that the operational plan supports profitability & budget goals. Key Focus: - Volume to value translation - Margin and cost to serve analysis - Alignment with financial targets & forecasts - Investment trade offs (capacity, working capital) 5. Balancing Demand & Supply :This phase reconciles the forecast with supply realities, identifying gaps & trade offs. Tools & Techniques: - Constraint analysis - What if scenario modeling - Inventory & service level optimization - Sales & procurement levers for balancing 6. Pre-S&OP Meeting :This cross functional session prepares insights for executive decisions. Focus Areas: - Demand supply gaps & risk mitigation - Action plans for high impact variances - Forecast vs. actual variance explanation 7. Performance Metrics and KPIs: KPIs help monitor plan effectiveness, process maturity & business impact. Key KPIs: - Forecast Accuracy - Plan Adherence - Customer Service Level - Inventory Turnover & Days of Coverage 8. Implementation Roadmap: Rolling out S&OP requires careful design & change management. Phased Approach: - Assess current maturity and readiness - Define vision, governance & roles - Pilot in selected categories or markets - Roll out enterprise wide - Monitor, review & refine continuously Enablers: - Leadership commitment - Data accuracy & availability - Aligned incentives & ownership - Change management & communication plan
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Flow vs. Synchronization in Production Systems: Flow is the cornerstone of lean manufacturing. Non-value-added activities and unnecessary material waiting time at work centers must be eliminated to achieve flow in production. However, flow can be realized only on production "lines". Flow improvement methods in Lean are suitable to a production line that makes a moderate of distinct products, with or without small variations as required by customers. Flow is however elusive in more complex production systems which are usually found in HMLV, MTO, ETO or custom manufacturing. This is true even if all non-value-added activities are totally eliminated in those systems. In complex production systems, different products may pass through different sequences of work centers (with a possibility of products repeatedly coming to some work centers as required technically). We cannot ensure flow for each product in such systems unless we heavily sacrifice throughput. Flow cannot be achieved even in flow shop environment consisting of a single production line. In such systems, process time greatly varies with both job and process. A rational alternative to flow in complex production is "operations synchronization" which is expected to minimize production lead times of jobs and maximize throughput with optimal utilization of resources. Operations synchronization is a more general concept than flow. Elimination of non-value-added activities is helpful to it. But operations synchronization may not automatically occur when all non-value-added activities are eliminated. Production logistics methods in Lean are very ineffective for operations synchronization in systems more complex than a single production line. Operations synchronization in complex production with limited resources can be achieved by finite capacity scheduling which is part of advanced planning and scheduling. #flow #synchronization #productionplanning #leanmanufacturing #leanconstruction
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Embracing the Supplier Orchestration Imperative in Retail Supply Chains 🌐 A year ago, Vikram Murthi, VP of Industry Strategy at o9 Solutions, and I co-authored an article that resonates even more profoundly today. The pandemic has reshaped supply chains, and the transition from specialized functions to orchestrated networks is not just a trend—it's the new normal. As the retail industry continues to adapt to the ever-changing landscape, it is imperative to recognize the transformative shift from traditional supply chains to orchestrated networks. The pandemic has accelerated this transition, emphasizing the need for agility and collaboration in supplier orchestration. 🔗 Article Overview: From Silos to Synchronization: The shift from operating in silos with a primary focus on low production costs to dynamic, synchronized supply chain networks has become the new normal. This strategic evolution enables companies to enhance their responsiveness to market demands while fostering collaboration and efficiency. End-to-End Visibility and Digital Twins: Scrutinizing the entire business process, from raw materials to finished goods, distribution, and transportation, is crucial. Investing in digital twins facilitates the breaking of silos, fosters collaboration, and enhances planning and decision-making, ultimately contributing to a more agile and resilient supply chain. Decoupling Decisions for Enhanced Control: Decoupling decisions, particularly in forecasting raw materials at an aggregated level, has proven to be instrumental in reducing lead times and costs. Retailers gain enhanced control over delivery dates and achieve greater accuracy in meeting market demands at the SKU level. Real-Time Data Integration for Informed Decision-Making: The integration of real-time data from various sources, such as IoT and GPS, allows for proactive risk anticipation and informed decision-making, thereby contributing to the overall resilience and adaptability of supply chains. Realizing Benefits and Key Outcomes: The shift to supplier orchestration yields tangible benefits, including reduced lead times, minimized waste, increased On-Time In-Full (OTIF) performance, and higher revenue. Furthermore, it enables greater agility and flexibility, reducing inventory obsolescence, waste, and carbon emissions. In conclusion, in the face of ongoing industry evolution, embracing the principles of supplier orchestration is not just imperative—it is the key to resilience and success in the retail sector. Let's commit to navigating the next normal with agility, collaboration, and a relentless pursuit of excellence. 📎 [Attached: Full Article - The Supplier Orchestration Imperative] #SupplyChain #Retail #SupplierOrchestration #DigitalTransformation #Resilience #Innovation #NextNormal
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Supply Chain Control Tower (SCCT) What is SCCT? It is a centralized platform or system that provides end-to-end visibility, control, and management of a company’s supply chain operations. It acts as a command center, aggregating and analyzing data from various sources across the supply chain, such as orders, inventory, shipments, suppliers, and external events. Features Some of the specific features of SCCT are: Data management A control tower uses cloud, IoT, and AI technologies to process and integrate the data and ensure its quality and accuracy. Business intelligence and analytics A control tower analyzes and visualizes the data to provide insights into the current and future state of the supply chain, such as demand and supply patterns, risks and disruptions, performance, and improvement opportunities. Performance management A control tower measures and monitors the key performance indicators (KPIs) and metrics that evaluate the supply chain efficiency, effectiveness, and customer satisfaction, such as service levels, fill rates, lead times, costs, and emissions. Actionable insights A control tower offers recommendations and guidance for decision-making and action-taking based on wisdom and performance data. Process The orchestration process involves a few steps: 1. Build a supply chain network that connects suppliers, producers, distributors, wholesalers, and customers. 2. Establish a communication infrastructure that connects the SC partners. This includes software and systems for communication, collaboration, and data sharing. 3. Integrate data from suppliers, producers, distributors, wholesalers, and customers, into the supply chain management system. 4. Use analytics and machine learning to identify trends and patterns in the supply chain. 5. Set up rules and policies for supplier, product, and customer data management. 6. Establish supply chain controls to monitor the inventory and performance and trigger the supply chain orchestration processes. 7. Automate the supply chain orchestration process to synchronize the communication, data, and controls across the supply chain. 8. Monitor, measure, and adjust the supply chain orchestration process when needed. 9. Data quality and accuracy are crucial for SCCT. Only complete, updated, consistent, and correct data can lead to good decisions and actions, reducing the system’s value and user trust. Benefits - Improved decision-making - Reduced inefficiencies - Increased agility - Enhanced collaboration - Improved customer service - Reduced cost - Providing predictive and prescriptive analytics - Demand and supply insights - Risk and disruption insights - Performance and improvement insights Challenges - Lack of clarity on the span of control - Resistance to change - Questions on actual data ownership - Required talent - Ambivalence on a build vs buy decision - Inability to identify the right technology requirements Source: https://lnkd.in/ddtzB_Uz