Programme Content
Module 1: Business Statistics
Module 2: Process Design and Analysis
System and Process, Granularity of the Process
Process Mapping, Process Flow Diagram
Business Process Improvement, Process Performance Measurement, Little’s Law
Product and its Attribute, Strategies for Competitive Advantage
Process Competency, Four Dimensions of Process Competency
Product-process Matrix, Design of Process
Types of Process (Continuous, Assembly Line, Batch, Job Shop, or Project)
Facility Layout, Performance Measures, Types of Layouts, Assembly Line Balancing
Capacity Planning, Design and Effective Capacity, Bottleneck Operation
Module 3: Quality Management
Introduction to Quality and Evolution of Quality Management
Contribution of Quality Gurus
Using Process Approach to Build Quality Management System
Design for Quality and Product Excellence (Concurrent Engineering, Taguchi Loss Function, QFD, Reliability Engineering)
Theory of Constraints
Design for Six Sigma, Total Quality Management, Total Productive Maintenance
Introduction to Six Sigma Metrics (DPMO, RTY, VoC, VoS, SIPOC)
Module 4: Decision Modelling
Introduction to Generic Parameters of a Decision-making Problem
Introduction to Linear Programming and its Applications
Sensitivity Analysis and its Significance
Waiting Line Models
Formulation and Solution to Transportation and Assignment Problems
Introduction to Integer Programming and its Applications
Decision-making under Certainty, Risk, and Uncertainty
Module 5: Service Operations Management
Module 6: Project Management
Project Initiation, Project Life Cycle, Project Feasibility, and Selection
Project Portfolio Management (PPM), Project Manager, and Organisation
Project Planning and Scheduling, Critical Path Method, and Analysis
Cost Time Trade-offs and Project Crashing Analysis, PERT Techniques and Analysis
Project Monitoring, Performance Monitoring Technique
Project Cost Control, Earned Value Management
Cost Control and Monitoring Mechanism, Project Audit
Project Termination, Termination Process, Final/Closer Report
Module 7: Six Sigma and Lean Management
Six Sigma
Define Phase (Project Selection and Tools, Kano Analysis)
Measure Phase (Process Capability, Process Performance, Gauge R&R)
Analyse Phase (Process Control Charts, Flow Charts)
Improve and Control Phase (Process FMEA, Solution Prioritisation Matrix)
Lean Management
Lean, Waste, Toyota Production System, Just-in-Time (JIT)
Single Minute Exchange of Die, Kaizen, Kanban
Strategies for Designing a Lean Supply Chain
Module 8: Inventory Management and Control System
Role of Cycle Inventory in a Supply Chain
Lot Sizing for a Single Product – The EOQ Model
The Role of Safety Inventory
Measuring Product Availability – Product Fill Rate, Order Fill Rate
Cycle Service Level (CSL)
Impact of Supply Uncertainty on Safety Inventory
Impact of Aggregation on Safety Inventory
Newsvendor Model
Module 9: Supply Chain Management and Forecasting
Module 10: Strategic Sourcing
Introduction to Sourcing and its Contribution to Business Performance
Sourcing Function and How it Works
Purchasing Policy and Procedures
Supplier Selection and Evaluation
Supplier Governance and Risk Management
E-procurement/Reverse Auction
Managing the Contract and Supplier Relationship
Global Sourcing
Module 11: Logistics Management
How the View of Logistics Differs from that of Supply Chain Management
Logistical Practices in Different Supply Chain Segments
Role of Third-party Logistics
Logistics Innovation
Logistics Performance
How Logistics Leads to Supply Chain Management
Module 12: Supply Chain Analytics – I
Module 13: Supply Chain Analytics – II
Visualisation Techniques in Supply Chain
Building Predictive Models
Optimisation Techniques for Supply Chain Analytics
Big Data Analytics for Supply Chain Management
