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MBA606: Operations and Supply Chain Management
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COURSE INTRODUCTION
START HERE → Orientation
MBA606 Syllabus
Unit 1: Introduction to Operations and Supply Chain Management
1.1: Operations and Productivity
Operations Management
Supply Chain Management
Overview of Production and Operations Management
Introduction to Management Introduction
1.2: Optimizing Operations
Supply Chain Management
Improving Production and Operations
Productivity
1.2.1: Global Optimization
Supply Chain Management Case Study
What is Supply Chain Management?
Global Trade in the United States
1.2.2: Uncertainty in OSCM
Supply Chain Uncertainty and Environmental Management
Securing a Supply Chain
1.3: Goods vs. Services
Services versus Products
Demand, Supply, and Equilibrium
1.3.1: Manufacturing
Supply Chain Configuration
Additive Manufacturing Technologies
1.3.2: Services
Service Operations
1.3.3: Decentralized Supply Chains
Centralised or Decentralised?
1.3.4: Dropshipping
What is Dropshipping?
Study Guide: Unit 1
Study Guide: Unit 1
Unit 1 Assessment
Unit 1 Assessment
Unit 2: Process and Service Design Capacity Management
2.1: Evaluating Production and Service Systems
Statistical Process Control
An Overview of Demand Management through Demand Supply Chain
2.2: System Design and Economies of Scale
Economies of Scale: A Case Study with Netflix
2.2.1: More on Economies of Scale
Economies of Scale
Structure of Costs in the Long Run
Economies and Diseconomies of Scale
2.2.2: Priorities and the Role of Buffers
Buffer Capacity
Safety Stock
2.3: Little's Law
Little's Law
Queue Time
2.4: Flow Analysis
Multilayer Network-Based Production Flow Analysis
2.4.1: Flow Diagrams
Data Flow Diagrams
2.4.2: Capacity, Throughput Time, and Cycle Time
Evaluating Capacity
2.4.3: Product and Process Layouts – Line Balancing
Designing an Assembly Line for Reliability
2.4.4: Bottlenecks
Identifying Bottlenecks
2.4.5: Process Analysis and Gantt Charts
Gantt Charts
2.4.6: Throughput and Bottleneck Factors
Managing Bottlenecks
Study Guide: Unit 2
Study Guide: Unit 2
Unit 2 Assessment
Unit 2 Assessment
Unit 3: Operations and Process Analysis
3.1: Process Analysis
What is Service Design?
3.1.1: Process Flow Charting
Flow Chart Symbols
3.1.2: Performance Analysis Measures
Measuring and Evaluating Strategic Performance
3.2: Production Analysis
Production Analysis Case Study
3.2.1: Lean Production Systems
Lean Manufacturing
3.2.2: Performance Analysis Measures
Using Lean Manufacturing Tools
Best Practices in Sustainable Supply Chain Management
Break-Even Point Analysis
3.3: Services Analysis
Services Development and Comparative Advantage in Manufacturing
3.4: Waiting and Queues
Synchronizing Schedules for Transportation
A Survey on Queueing Systems with Mathematical Models and Applications
Study Guide: Unit 3
Study Guide: Unit 3
Unit 3 Assessment
Unit 3 Assessment
Unit 4: Scheduling Model Analysis
4.1: The Role of Manufacturing Processes in Scheduling
Scheduling in Manufacturing Systems: The Ant Colony Approach
4.1.1: Types of Manufacturing Processes
Manufacturing Processes
4.1.2: Job Sequencing and Priority Rules
Production Scheduling Approaches
4.2: Labor Resource Scheduling
Managing Labor Costs
4.2.1: Analytical Approaches to Developing Personnel Schedules
Resource Planning
4.2.2: Labor Standards
Legal Environment of Human Resources and Labor Relations
Human Resource Management and Compliance
4.3: Scheduling Workers, Material, and Jobs
Scheduling IT Staff at a Bank: A Mathematical Programming Approach
Study Guide: Unit 4
Study Guide: Unit 4
Unit 4 Assessment
Unit 4 Assessment
Unit 5: Demand Forecasting
5.1: Forecasting the Fundamentals
Forecasting and Inventory Management
Forecasting
5.2: Quantitative Forecasting
Measuring Forecast Accuracy in a Pharmacy
5.2.1: Time-Series Forecasting
Time-Series Forecasting in the Energy Sector with Automated Machine Learning
5.2.2: Decomposition
Time-Series Modeling and Decomposition
5.2.3: Linear Regression
Regression Basics
5.2.4: Moving Average
Kinds, Traits, and Weak Points
5.2.5: Exponential Smoothing
Exponential Smoothing in Excel 2016
5.3: The Components of Demand
Forecasting Electricity Demand
5.3.1: Trends
Basic Forecasting for Airlines
5.3.2: Seasonality
Forecasting Daily Demand in Cash Supply Chains
5.4: Causal Relationships
Facilitating Communication
5.5: Forecasting Errors
Forecasting Errors
5.6: Qualitative Forecasting
Forecasting Approaches
Study Guide: Unit 5
Study Guide: Unit 5
Unit 5 Assessment
Unit 5 Assessment
Unit 6: Process and Inventory Management
6.1: Lean Operations
10 Rules of Lean Assembly Cell Design
6.1.1: JIT versus JIC
Using JIT in a Green Supply Chain
6.1.2: Kanban Systems
Kanban Methodology
6.2: Quality Control
Quality and Operations Management in Food Supply Chains
6.2.1: Process Capability
Estimating Process Capability
6.2.2: Statistical Process Control
Statistical Process Control
6.2.3: Total Quality Management
Total Quality Management (TQM) for Sustainable Customer Loyalty
6.2.4: Six Sigma
Six Sigma
6.2.5: ISO 9000
ISO 9000
6.3: Inventory Models
Production-Consumption Inventory Model
6.3.1: Questions and Metrics
Managing Inventory Control and Procurement
6.3.2: Constant Demand Model
Demand in an Open Economy
6.3.3: Time-Varying Demand Model
Optimal Policies for a Finite-Horizon Production Inventory Model
6.3.4: Stochastic Inventory Model
Stochastic Inventory Management in a Shortage
6.4: Safety Stock and Uncertainty
Determining Safety Stock with Uncertain Demand
Study Guide: Unit 6
Study Guide: Unit 6
Unit 6 Assessment
Unit 6 Assessment
Unit 7: Facility Analysis – Location and Layout Planning
7.1: Criteria for Location Selection
Plant Location Selection for Food Production
7.1.1: Factor Rating System
Garage Location Selection for Public Transportation System in Istanbul
7.1.2: Cost-Profit-Volume Analysis
Locational Cost Volume Profit Analysis
7.1.3: Linear Programming Transportation
Minimizing the Cost of Transportation
7.1.4: The GIS/Centroid Method
Using Geographic Information Systems (GIS)
7.2: Facility Layout Objectives
Location, Location, Location
Facility Location
7.2.1: Classifying Layouts
Introduction to Facility and Product Layout Planning
7.2.2: Layout Problems
Coupling Layout Optimization of Key Plant and Industrial Area
7.3: Manufacturing-Facility Layouts
Layout Models for the Food Processing Industry
Assessing Shop Floor Layouts in the Context of Process Plans
Mixed Assembly Line Balancing
Study Guide: Unit 7
Study Guide: Unit 7
Unit 7 Assessment
Unit 7 Assessment
Unit 8: Supply Chain Distribution and Logistics
8.1: Distribution Network Analysis
The Roman Transport System
8.1.1: Tiered Suppliers
Designing Supply Networks in Manufacturing Industries
8.1.2: Subassembly Suppliers
Sustainable Procurement
8.1.3: Supplier Relations
Managing Supplier Relationship in a Typical Public Procurement Entity in Ghana
8.1.4: Reverse Supply Chain
The Reverse Supply Chain of E-Waste Management Processes
8.2: Network Design
The Life Cycle of Manufacturing Networks in the Mass Customisation Era
8.2.1: Number and Location of Distribution Centers
Location, Routing, and Inventory
8.2.2: Global Location Center Decisions
Location-Routing for Distribution Centers
8.2.3: Allocating Product to Distribution Centers
Coordinated Location, Distribution, and Inventory Decisions in Supply Chain Network Design
8.2.4: Vehicle Routing Models
Vehicle Routing Problem for Multiple Product Types, Compartments, and Trips with Soft Time Windows
8.3: 1PL, 2PL, 3PL, 4PL, and 5PL Logistics
Case Studies of LSP Lifecycle Models in Thailand
4PL Digital Business Models in Sea Freight Logistics: The Case of FreightHub
Smart and Sustainable Logistics
8.4: Domestic and Global Logistics
Logistics Costs and Competitiveness
8.5: Green and Reverse Logistics
Rethinking Progress in the Circular Economy
8.6: Service Response Logistics
Supply Chain Emergency Response
Study Guide: Unit 8
Study Guide: Unit 8
Unit 8 Assessment
Unit 8 Assessment
Unit 9: Supply Chain Integration and the Bullwhip Effect
9.1: Demand and Supply Uncertainty in Supply Chains
Analyzing Supply Chain Uncertainty to Deliver Sustainable Operational Performance
9.1.1: Supply Chain Strategies
Winning Supply Chain Strategies for Small and Mid-Sized Businesses
9.1.2: Push- and Pull-Based Systems
Development of a Pull Production Control Method in the Metallurgical Industry
9.2: Types of Supply Chains
Effectiveness and Efficiency of RFID in Supply Chain Management
9.2.1: The Efficient, Responsive, and Agile Continuum
Agile Information Systems for Mastering Supply Chain Uncertainty
9.2.2: The Effects of Demand and Supply
Integrated Production-Inventory Supply Chain Model
9.2.3: Agile and Lean Production Processes
Modeling Lean and Agile Approaches: A Western Canadian Forest Company Case Study
9.3: Supply Chains and Product Types
Aligning Product Strategy to Supply Chain Practices
Price-Setting Models for Innovative Products
9.4: Measuring and Optimizing Supply Chain Performance
Proactive Supply Chain Performance Management with Predictive Analytics
Supply Chain Optimization for Effective Immunization
9.5: The Bullwhip Effect
Bullwhip Entropy Analysis and Chaos Control
Modelling the Bullwhip Effect under the Implementation of Supply Chain Management Software
9.5.1: Variability and the Magnification of Demand
Complexity Assessment of Assembly Supply Chains from the Sustainability Viewpoint
9.5.2: Distortion, Coordination, and Information Sharing
Information Coordination in Supply Chain Systems
9.6: IT and e-Commerce
e-Commerce and Supply Chain Management in China
Study Guide: Unit 9
Study Guide: Unit 9
Unit 9 Assessment
Unit 9 Assessment
Unit 10: Project Management
10.1: Principles and Goals of Project Management
An Overview of Project Management
10.2: Project Structures
Project Management Organizational Structures
10.3: Work Breakdown Structures, Project Control Charts, and Earned Value Management
Building Control Charts
10.3.1: Earned Value Management (EVM)
10 Steps to EVM
10.3.2: EVM Calculations
Earned Value Analysis
10.3.3: EVM Charts
An Integrated Efficiency-Risk Approach in Sustainable Project Control
Earned Value Management in Microsoft Project 2010
10.4: Planning Models
Process Models in Design and Development
10.4.1: The Critical Path Method (CPM) and CPM Sensitivity Analysis
Project Crashing Optimization Strategy with Risk Consideration
10.4.2: Cost-Time Considerations and Project Crashing
Project Time Compression: Crashing a Project
10.5: Evaluating Tradeoffs Using Probability and Confidence Estimates
Time-Cost-Quality Tradeoff Modeling based on Resource Allocation
10.6: Probability and Confidence Estimates of Project Completion
Identifying and Assessing the Risks in the Supply Chain
Study Guide: Unit 10
Study Guide: Unit 10
Unit 10 Assessment
Unit 10 Assessment
Study Guide
MBA606 Study Guide
Course Feedback Survey
Course Feedback Survey
Practice Final Exam
MBA606: Practice Final Exam
Final Exam
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Course info
MBA606: Operations and Supply Chain Management
Time: 96 hours
Learn how to manage business operations and supply chains, including setting production goals and strategies, designing and improving production processes, conducting workflow analyses, and analyzing physical facilities.
Course Duration
:
96 hours
Skill Level
:
Beginner
