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Free Download Diploma in Operations and Production Management
Published 8/2026
Created by Addae Valentine
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English | Duration: 44 Lectures ( 5h 35m ) | Size: 2.5 GB
Master operations strategy, production systems, capacity planning, forecasting, inventory, MRP, facility layout
What you'll learn
Understand the principles of operations and production management and explain how organizations transform resources into valuable goods and services. Differentiate between job-shop, batch, mass, and continuous production systems and select suitable systems for different operational environments. Apply operations decision-making techniques including break-even analysis, risk analysis, and decision trees. Calculate and interpret productivity, capacity utilization, efficiency, and other important operations performance measures. Evaluate facility-location alternatives and understand process, product, fixed-position, combination, and cellular layouts. Apply demand-forecasting techniques such as moving averages, exponential smoothing, regression, and forecast-error measurement. Understand product development, process design, Design for Manufacture, and concurrent engineering. Manage purchasing, stores, materials, suppliers, and organizational inventory effectively. Apply inventory-control techniques including reorder levels, safety stock, ABC analysis, and Economic Order Quantity. Understand Just-in-Time production, waste reduction, value analysis, standardization, simplification, and ergonomics. Develop aggregate production plans and understand Master Production Scheduling. Understand Material Requirements Planning, Bills of Materials, product structures, net requirements, and planned-order releases. Explain Capacity Requirements Planning and production loading. Apply production scheduling techniques including SPT, EDD, Johnson's Rule, job-shop scheduling, and dispatching rules. Analyze the operations of a manufacturing or service organization and identify opportunities for productivity and operational improvement.Requirements
No previous knowledge of operations management is required. Basic mathematics will be helpful for calculation-based lessons. A calculator is recommended for forecasting, capacity, inventory, and scheduling exercises. Students should have an interest in manufacturing, business operations, engineering, logistics, production, or management. A willingness to practice solved examples and complete course exercises is recommended.Description
This course contains the use of artificial intelligence.
Operations management is one of the most important functions in modern organizations. Every organization-whether it manufactures physical products or provides services-must effectively manage people, materials, equipment, information, capacity, time, and other resources in order to satisfy customers and achieve organizational objectives.
TheDiploma in Operations & Production Management provides a structured and practical introduction to the major principles, techniques, and decision-making tools used in production and operations management.
The course begins with the fundamentals of operations management, production systems, operations strategy, productivity, and the transformation of inputs into valuable outputs. Students will understand how job-shop, batch, mass, and continuous production systems operate and how organizations select suitable production methods.
The course then introduces important operations decision-making concepts, including decision-making under certainty, risk, and uncertainty. Students will learn how to perform break-even analysis and use decision trees to evaluate operational alternatives.
Capacity planning and facility management are also explored in detail. Students will learn about design capacity, effective capacity, utilization, efficiency, facility-location decisions, and major plant-layout systems. The course explains how organizations arrange machines, departments, employees, materials, and services to improve flow and reduce unnecessary movement.
Demand forecasting forms another important part of the course. Students will learn qualitative forecasting, moving averages, weighted moving averages, exponential smoothing, regression, correlation, forecast error, Mean Absolute Deviation, and tracking signals.
The course also examines product development and process design, including product analysis, production considerations, Design for Manufacture, and concurrent engineering.
Materials management is covered extensively. Students will study purchasing, supplier selection, stores management, material codification, inventory control, Economic Order Quantity, safety stock, standardization, simplification, value analysis, ergonomics, Just-in-Time production, and waste reduction.
Later sections introduce aggregate planning, Master Production Scheduling, Material Requirements Planning, Capacity Requirements Planning, and production loading.
Finally, students will learn practical production-scheduling techniques, including Shortest Processing Time, Earliest Due Date, Johnson's Rule, job-shop scheduling, and priority dispatching rules.
Throughout the course, concepts are reinforced using practical examples, calculations, quizzes, and assignments so learners can understand not only the theory of operations management but also how the techniques are applied in real organizational environments.
Whether you are studying engineering, management, manufacturing, logistics, procurement, industrial operations, or preparing for a supervisory role, this course will provide a broad foundation in the tools used to plan, control, and improve modern operations.
Who this course is for
Engineering students Business and management students Industrial engineering students Production supervisors Operations supervisors Manufacturing personnel Maintenance and technical professionals Inventory and warehouse personnel Procurement and purchasing officers Quality and continuous-improvement professionals Employees preparing for supervisory or management positionsHomepage
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