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Operations Management: Organization and Analysis Course
More than 2 million students worldwide

Operations Management: Organization and Analysis Course

Master the full spectrum of operations management — from process design and demand forecasting to supply chain strategy and continuous improvement. This course equips you with the analytical frameworks and practical tools that drive efficiency, quality, and competitive advantage across any industry.

Dedika for businesses

What you will learn:

  • Map cross-functional operational processes and pinpoint structural inefficiencies using proven techniques.

  • Build aggregate production plans, master schedules, and MRP solutions from real demand data.

  • Apply statistical process control and Six Sigma tools to design robust quality management systems.

  • Evaluate supply chain configurations for strategic fit, resilience, and measurable performance outcomes.

  • Integrate lean thinking, kaizen events, and KPI dashboards to sustain continuous operational improvement.

  • Analyze capital investments and operational costs to build credible, data-driven business cases.

How you study in practice Operations Management: Organization and Analysis Course

How you practice Operations Management: Organization and Analysis Course

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Course Content

8 Chapters • 38 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Operations Management

  • Lesson 1 • Key Performance Dimensions

    Introduces cost, quality, speed, flexibility, and dependability as competitive priorities. Students evaluate trade-offs among these dimensions.

  • Lesson 2 • Defining Operations Management

    Covers the definition, boundaries, and historical evolution of operations management. Anchors all subsequent chapters in a shared conceptual framework.

  • Lesson 3 • The Operations Function in Organizations

    Examines how operations interacts with finance, marketing, and HR. Students map cross-functional dependencies within real organizational structures.

  • Lesson 4 • Operations Strategy Basics

    Links operational decisions to business strategy using top-down and bottom-up models. Students draft a basic operations strategy statement.

Chapter 2See details

Process Design and Mapping

  • Lesson 1 • Process Mapping Techniques

    Teaches flowcharting, swimlane diagrams, and value stream mapping. Students create accurate process maps for a chosen operational scenario.

  • Lesson 2 • Process Types and Structures

    Distinguishes project, jobbing, batch, mass, and continuous process types. Students match process type to volume-variety combinations.

  • Lesson 3 • Process Improvement Fundamentals

    Applies gap analysis and root-cause thinking to process maps. Students propose targeted improvements grounded in process data.

  • Lesson 4 • Capacity and Throughput Analysis

    Introduces capacity, throughput rate, and bottleneck identification. Students calculate effective capacity and locate process constraints.

  • Lesson 5 • Process Layout and Flow

    Covers fixed-position, functional, cell, and product layouts. Students evaluate layout options against process type and flow requirements.

Chapter 3See details

Demand Forecasting and Planning

  • Lesson 1 • Quantitative Forecasting Methods

    Covers moving averages, exponential smoothing, and trend-adjusted models. Students compute forecasts and compare method accuracy.

  • Lesson 2 • Demand Planning Integration

    Connects forecasts to aggregate planning, inventory, and capacity decisions. Students build a demand plan that feeds downstream operational processes.

  • Lesson 3 • Forecasting Fundamentals

    Defines demand forecasting, its role in planning, and common error sources. Students distinguish qualitative from quantitative forecasting approaches.

  • Lesson 4 • Forecast Accuracy Measurement

    Introduces MAD, MSE, MAPE, and tracking signal metrics. Students evaluate and select models based on accuracy measurement results.

Chapter 4See details

Inventory Management and Control

  • Lesson 1 • Economic Order Quantity Models

    Derives and applies the EOQ model and its extensions. Students solve EOQ problems with quantity discounts and non-instantaneous receipt.

  • Lesson 2 • Inventory Concepts and Costs

    Defines inventory types, holding, ordering, and shortage costs. Students calculate total inventory cost for a given scenario.

  • Lesson 3 • Lean Inventory Principles

    Introduces just-in-time logic, kanban signals, and waste reduction in inventory. Students contrast lean and traditional inventory approaches.

  • Lesson 4 • Safety Stock and Service Levels

    Covers demand variability, lead-time uncertainty, and safety stock formulas. Students set safety stock levels to achieve target service levels.

  • Lesson 5 • Inventory Classification and Control

    Applies ABC analysis and periodic vs. continuous review systems. Students design a control system matched to item classification.

Chapter 5See details

Production Planning and Scheduling

  • Lesson 1 • Material Requirements Planning

    Introduces bill of materials, MRP logic, and planned order releases. Students run an MRP explosion for a multi-level product structure.

  • Lesson 2 • Constraint-Based Scheduling

    Applies the Theory of Constraints to identify and exploit bottlenecks. Students redesign a schedule to maximize throughput at the constraint.

  • Lesson 3 • Job Sequencing and Scheduling Rules

    Applies FCFS, SPT, EDD, and critical ratio rules to job shop scheduling. Students compare rules on makespan, lateness, and flow time.

  • Lesson 4 • Master Production Scheduling

    Disaggregates the aggregate plan into item-level schedules. Students build a master production schedule and check available-to-promise quantities.

  • Lesson 5 • Aggregate Production Planning

    Covers chase, level, and mixed strategies for medium-term planning. Students evaluate strategies using cost and workforce impact criteria.

Chapter 6See details

Quality Management Systems

  • Lesson 1 • Statistical Process Control

    Covers control charts for variables and attributes to monitor process stability. Students construct X-bar, R, p, and c charts from sample data.

  • Lesson 2 • Quality Concepts and Philosophies

    Defines quality dimensions and reviews Deming, Juran, and Crosby philosophies. Students compare philosophies and identify applicable principles.

  • Lesson 3 • Acceptance Sampling and Inspection

    Introduces sampling plans, OC curves, and inspection decision logic. Students design an acceptance sampling plan for incoming materials.

  • Lesson 4 • Quality Management Frameworks

    Examines ISO-based management systems, Six Sigma, and total quality management. Students map framework requirements to operational processes.

  • Lesson 5 • Quality Improvement Tools

    Applies the seven basic quality tools to diagnose and resolve defects. Students complete a structured problem-solving exercise using these tools.

Chapter 7See details

Supply Chain Design and Management

  • Lesson 1 • Supply Chain Performance Measurement

    Applies SCOR model metrics and balanced scorecard to supply chain evaluation. Students select and interpret KPIs across supply chain dimensions.

  • Lesson 2 • Logistics and Distribution Networks

    Analyzes transportation modes, warehousing, and distribution network design. Students evaluate network configurations for cost and service trade-offs.

  • Lesson 3 • Supplier Selection and Relationships

    Covers supplier evaluation criteria, sourcing strategies, and partnership models. Students score and select suppliers using a weighted decision matrix.

  • Lesson 4 • Supply Chain Structure and Strategy

    Maps supply chain tiers, flows, and strategic fit with market requirements. Students classify supply chains as efficient or responsive.

  • Lesson 5 • Supply Chain Risk and Resilience

    Identifies supply chain vulnerabilities and mitigation strategies. Students build a risk register and resilience plan for a supply chain scenario.

Chapter 8See details

Operational Excellence and Continuous Improvement

  • Lesson 1 • Building a Continuous Improvement Culture

    Examines leadership behaviors, employee engagement, and systems that sustain improvement. Students develop an improvement culture action plan.

  • Lesson 2 • Six Sigma Integration

    Connects DMAIC phases to operational improvement projects. Students define a project charter and scope using Six Sigma tools.

  • Lesson 3 • Performance Measurement and KPIs

    Designs KPI systems that drive improvement behavior and strategic alignment. Students build a KPI dashboard linked to operational goals.

  • Lesson 4 • Lean Thinking and Waste Elimination

    Applies the eight wastes framework and lean principles to operational processes. Students conduct a waste walk and quantify identified waste.

  • Lesson 5 • Kaizen and Rapid Improvement Events

    Structures kaizen events to achieve rapid, team-based process improvements. Students plan and simulate a kaizen event for a target process.

Certification

Your valid completion certificate

This course is for you:

  • Operations coordinator: ready to move into a management-level role.

  • Business administration student: building a specialization in operational strategy.

  • Supply chain analyst: seeking broader organizational and planning competencies.

  • Manufacturing supervisor: wanting structured frameworks behind daily shop-floor decisions.

  • Entrepreneur: needing to design efficient processes for a growing business.

  • Career changer: transitioning from finance or marketing into operations roles.

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