Executive Programme in Operations Management and Analytics

• Introduction to Concepts, Tools, Techniques and Analytics
• Traditional and Advanced Production Systems
• Need for product redesign and development

• Chase and Production Level Strategy
• Mixed strategy
• Capacity Management (CPOF and Capacity bill, resource profile)

• Preventive and Proactive Maintenance Policy
• Queue Planning (M/M/1, M/M/S, M/D/1 Models for job in queue management)

• Six Sigma Process in Operations
• Quality Control Charts (X and R-Charts, P & NP Charts)

• Types of Inventory Costs
• EOQ/POQ/PPB Models
• Multi-Criteria ABC analysis

• MRP Construction
• MRP Nervousness

This Module will provide insights to construct MRP Tables for dynamic/fluctuating product demand. The MRP tables provide time-scheduling information about when and how much the material needs to be procured to meet the market demand of the final product. The MRP table will integrate the inventory models discussed in Model VII to optimize the ordering policy. Finally, the MRP Table would help inventory managers to procure inventory at the right time in the right quality at the minimum inventory procurement cost.

• Time Series models (Exponential, Adjusted Exponential, Winter Holt model)
• Regression (Linear Trend Model)

• Demand Forecasting
• Business Simulation in Operations

This module will demonstrate the application of various forecasting models discussed in Module II, using R and Excel on historical sales data. It will help sales managers and decision-makers estimate the most accurate demand forecasts with minimal error. By the end of the module, participants will be equipped to apply forecasting models in R and Excel to effectively predict future demand.

• Vendor Selection and Evaluation
• Risk Mitigations in Operations

This module will cover the application of various MCDM (Multi-Criteria Decision-Making) tools and techniques for selecting vendors, machines, parts, and product designs—particularly for medium- and long-term industrial decisions. Participants will also learn how to apply MCDM methods for risk mitigation in supply chains. Techniques covered include ISM, AHP, and TOPSIS. Ultimately, this module will enable managers to make informed short-term, medium-term, and long-term decisions, such as selecting suitable vendors or mitigating operational risks within the supply chain.

• Product, Process, Fixed and Cellular Layout
• CPM and PERT analysis of the project
• Why: Operations in projects require hybrid management
• Content: Agile for operations, hybrid project approaches, rapid prototyping, operationalizing project deliverables

• Production Management
• Facility Layout Planning

• Why: Highly effective in process industries, manufacturing, and services
• Content: TOC principles, constraint identification, throughput maximization

• Why: Essential for future-ready operations managers
• Content: IoT, process automation, digital twins, cloud-based operations management, additive & smart manufacturing

• Why: The service sector is a large employer; service design differs from manufacturing
• Content: Blueprinting, customer experience, service quality (SERVQUAL), omni-channel delivery, Service design and delivery, Service quality management

• Why: Generative AI is revolutionizing process automation, predictive maintenance, demand forecasting, quality assurance, process innovation, and problem-solving in operations. Familiarity with GenAI is fast becoming essential for future-ready operations leaders.
• Content: Overview of GenAI technologies, Predictive maintenance and failure analysis, GenAI-powered process automation: documentation, SOPs, troubleshooting, etc.