This module covers the fundamentals of process mapping, performance measurement, and system evaluation. Learners will gain skills in identifying inefficiencies, analyzing process metrics, and improving operational effectiveness through practical examples and real-world applications.

This module explores how to design efficient processes by focusing on customer-driven goals, optimizing flow time, and enhancing capacity through parallel operations and resource flexibility. Learners will gain insights into managing bottlenecks and improving operational performance to meet business objectives.

This module explores the challenges of managing shared resources, optimizing batch sizes, and handling rework in processes. Learners will gain insights into improving operational efficiency and quality control through strategic resource allocation and batch management. The content provides practical tools for analyzing and enhancing process performance.

This module explores how to align process design with product characteristics to optimize costs, flexibility, and customer satisfaction. It covers key principles like Design for X (DFX) and examines different production methods such as MTS and MTO. Learners will gain insights into improving both front-line and back-office operations for operational efficiency.

This module explores various forecasting methods used in operations management, including quantitative and qualitative models. Learners will gain an understanding of how to evaluate forecast accuracy using metrics such as MAD, MSE, and MAPE. It also covers strategies for forecasting when data is limited or unavailable.

This module explores strategies for managing demand variability through capacity planning, including methods for balancing inventory, implementing level production strategies, and applying queuing theory to estimate service wait times. Learners will gain practical insights into how organizations adapt to fluctuating demand and optimize resource allocation.