Operations Management A-Z: Business Processes and Systems

Explore how an operations strategy guides long-term, big-picture direction by balancing external and internal objectives, prioritizing decisions like make vs buy, and using Kano and product-process matrix models to compete.

Define an operations strategy that aligns with the business strategy, sets priorities, and shapes capabilities, people, location, and trade-offs to fulfill its strategic role and win in key customer-focused areas.

Align the operations strategy with the overall business strategy and the plans of other functions, such as marketing and finance, to form a cohesive business strategy.

Identify external objectives of operations—quality, delivery, flexibility, service, and cost—aiming for the right product, place, time, and price. Align aims to maximize output, minimize costs and investment, and reduce risk.

Use a romantic motif of roses and violets to invite a review, linking the key to my heart to encourage reviews in business processes and systems.

Explore strategic operations decisions, including what to do versus outsource, how much variety to offer, and how to compete for competitive advantage through operational performance like quality, delivery, and cost.

Apply the Kano model to categorize attributes as base, performance, and pleasure, then balance customer satisfaction with effort in service design and operations to gain competitive value.

Explore how volume and variety shape operations via the product/process matrix, from project and job shop setups to batch, mass, and continuous production, and the blue–red trade-off.

Explore how the volume-variety trade-off shapes process characteristics from project-based to continuous production. Identify how your position on the matrix defines tools, labor skills, costs, and supplier relationships.

Explore how an operations manager makes trade-offs between customer service, price, and costs, using capacity utilization, inventory costs, and changeovers to align with business strategy.

Develop a competitive operations strategy by setting long-term priorities on what to do, how to compete, and where to locate, guided by the Kano model, 4Vs, and product/process matrices.

Explore the fundamentals of inventory, including its types by location, form, and function, the costs and risks of holding inventory, and a quick overview of basic inventory dynamics.

Define inventory as the accumulation of a commodity that will be used to satisfy future demand, including raw materials, work in progress, finished goods, spare parts, and operating supplies.

Explore how inventory is categorized by type, function, and location, including raw materials, work in progress, finished goods, service inventory, and cycle, safety, buffer, pipeline, and anticipation stock.

Explore why inventory exists in four groups — availability, reality, operational efficiency, and financial — and how it supports stock, raw materials, WIP, safety stock, and economies of scale.

Track inventory on hand and the demand rate to see how a fixed order quantity (Q) depletes stock, triggers a reorder point (ROP), and waits through lead time for replenishment.

Explore how order size and frequency affect inventory levels while keeping demand constant, showing that larger, less frequent orders raise average inventory and establishing safety stock and reorder points.

Explore forecasting as a collaborative process for estimating future demand across operations, from short to long horizons, and align management, marketing, and finance to plan capacity, investments, and shared reviews.

Forecasting guides decisions, but accuracy varies. Assess forecastability with historical data, relevance to the future, and understanding contributing factors, while noting if the forecast itself affects demand.

Blend qualitative and quantitative forecasting from intrinsic and extrinsic sources, using historical data and market surveys, Delphi method, and external experts to inform short-term, medium-term, and long-term planning.

Coordinate demand with capacity through long-term planning to deliver the right capacity for the right job in the right place while reducing variation to improve efficiency and output.

Demand management links market demand and orders, guiding forecasting and capacity planning to smooth peaks and troughs through pricing, pre-orders, and staged deliveries for better operations.

Capacity management plans and coordinates resources to meet demand and sustain maximum value-adding output per time period, linking to forecasting and sales and operations planning.

Identify external and internal causes of variation in demand and capacity, including seasonality, income shifts, promotions, and batching. Learn to reduce variation to improve operations and cut buffers.

Discover how to smooth external demand to reduce variation and support lean operations. Apply price strategies, reservation systems, and customer incentives to stabilize demand and improve supply chain coordination.

Reduce internal demand variation by cutting mistakes and defects, shortening lead times, and adopting build-to-order, just-in-time, and late customization to minimize overproduction and inventory.

Explore a long-term approach to demand and capacity management to reduce variation, queues, inventory, and lead times by influencing demand and capacity and evaluating pros and cons of capacity options.

Explore S&OP and how it coordinates operations and sales from long-term to detailed scheduling. Examine materials requirements planning and the role of ERP software in enterprise operations.

Learn how sales and operations planning (S&OP) coordinates sales, operations, and purchasing to balance demand and capacity, align forecasts with production, and improve customer satisfaction while reducing costs.

Align demand and capacity across long, medium, and short horizons through sales and operations planning, producing a provisional master production schedule and detailed short-term plans, guided by MRP and RRP.

Position the master production schedule (MPS) as the core of material requirements planning, created from confirmed orders and forecast to drive MRP outputs over zero to six months.

Foster mutual support and commitment as you take steps together, reach the halfway point, and stay hopeful that you’ll make it.

See how resource and materials requirements planning uses data-driven calculations to generate plans and reports, evolving from basic MRP to closed-loop MRP II and ERP with live inventory.

Plan the short-term scheduling of resource allocation to complete orders by assigning equipment, facilities, labor, and materials to specific jobs, shaping lead times, delivery performance, and costs.

Schedulers plan work sequences, allocate resources, and monitor progress to spot bottlenecks, while providing decision support on inventory, buffer sizes, safety stock, and supply chain choices for senior managers.

Explore scheduling trade-offs in a busy printer: prioritize urgent orders, manage changeovers, and apply sequencing rules to balance capacity, lateness, and profitability.

Compare scheduling sequencing options such as first-in, first-out, shortest processing time, and priority, with round robin and multi-level queues, and discuss algorithmic methods and objective-driven rules.

Explore how scheduling objectives shape delivery performance, from fifo and fairness to shortest processing time and earliest due date, using heuristics like Moore's algorithm and the modified due date.

Coordinate resources and timelines by linking production planning to scheduling, allocating labor, machines, and materials, and standardizing communication routines from planning to shop floor.

Explore how planning adapts to volume and variety along the product/process matrix, from project-based to mass production, using tools like MRP, Kanban, and critical path analysis.

Learn how short-term scheduling allocates resources and sequences jobs, elevating scheduling from routine execution to analysis and decision support that affects performance, inventory placement, workflow, bottlenecks, and product mix.

Define objectives and measure progress using KPIs to enable control, feedback, and targeted improvements. Metrics drive motivation, fair evaluation, and external reporting when required.

Understand how net profit, return on capital employed (ROCE), return on investment (ROI), and cashflow together reveal a business’s performance and investment viability.

Maximize profitability by managing revenue minus costs, focusing on valuable outputs while reducing inventory and expenses. Shorten lead times and minimize capital employed to boost cash flow, ROI, and ROCE.

Good metrics align KPIs with the business mission and objectives, emphasizing relevance, focus, clarity, actionable insights, a two-way data interaction, incorruptible design, and integrated, high yield metrics that incentivize desired behaviors.

Learn how to design, implement, and maintain insightful KPIs to drive performance, align operations with business strategy, and optimize profit, return on capital employed, and cash flow.

Study current processes and the operational system to design, implement, and follow up improvements that raise performance; consider trade-offs and explore methodologies like Lean and the Theory of Constraints.

Explore breakthrough versus continuous improvements, showing how step-change innovations and Kaizen-style refinements transform operations through dedicated projects, cultural momentum, and deliberate resource allocation.

Explore how productivity and efficiency measure output per input, distinguish outputs and inputs, and avoid overproduction while aligning performance metrics with actual customer demand.

Explore how to distinguish real operational improvement from trading off one performance dimension, and push the performance frontier beyond cost, quality, and speed for true capability growth.

Prioritize improvement ideas by impact, not popularity, focusing on where to improve matters most; as an operations manager, allocate resources to the few ideas that deliver the greatest system performance.

Apply the theory of constraints to evaluate decisions against throughput, inventory, and operating expense to improve bottom line performance.

Learn to diagnose whether your organization is sales constrained or operations constrained, and apply targeted improvements to product, capacity, and cross-functional collaboration to drive profits.

Identify and elevate the bottleneck in an operations constrained system to increase overall capacity, reduce downtime, and protect the bottleneck with buffers and reduced changeover times.

Plot improvement ideas on a prioritisation matrix to weigh benefits and costs, considering opportunity costs, and select high-impact, low-cost actions.

Explore why local improvements can harm the overall system and how the Theory of Constraints guides decisions to optimize throughput, inventory, and costs across the entire operation.

Explore lean, Six Sigma, total quality management, and related methods for business, process, and systems improvement. Learn tools like PDCA, DMAIC, BPMN, gemba, kaizen, and benchmarking to drive continuous improvement.

Explore lean improvement and lean manufacturing, inspired by the Toyota production system, to maximize customer value, reduce waste, and drive flow, pull, perfection with tools like 5S, PDCA, and gemba.

Learn how the theory of constraints identifies bottlenecks and uses the five focusing steps—identify, exploit, subordinate, elevate, and check—to maximize throughput while reducing inventory and operating costs.

Industrial engineering designs, improves, and implements processes, systems, and organizations across people, money, information, materials, and machines, applying Lean, Six Sigma, and total quality management for long-term efficiency.