Operations Engineering and Management: Concepts, Analytics and Principles for Improvement

Discover how to apply engineering thinking and data analytics in your business operations

This hands-on textbook shows, step by step, how to use the engineering problem solving approach and data analytics techniques to drive effective tactical and control-level decision making in operations systems and supply chains. Operations Engineering and Management: Concepts, Analytics and Principles for Improvement is based on the author’s successful classes in both business and engineering. The book presents concepts and principles of operations management, with a strong emphasis on analytics and operations improvement. You will also get full details on the classic management approach to operations and supply chain management.

Coverage includes: Operations strategy, Process-flow analysis, Forecasting and variability, Capacity concepts and measures, Throughput improvement, Flow time analysis and improvement, Inventory management for deterministic and stochastic demand, Inventory improvement, Aggregate planning and lean operations, Operations scheduling and flexible operations, Quality management and control, Quality improvement and Six Sigma

Additional Online Content: 

Supplementary Content - For interested readers chapters 3, 7, 8, 9, 10, 13, 14, and 16 have online supplements that extend their content either by presenting more applications of the topics, or by developing more advanced analytics.

Appendices - Thirteen additional Appendices are available online as follows: Effective Capacity of a Resource, Proof for Optimality of the c-mu Rule, Optimal EOQ Model with Trade Promotion, Newsvendor Problems with Continuous Demand Distribution, Optimal (Q;R) Policy with Cost Per Backorder Demand, Optimal (Q;R) Policy with Cost per Backorder Demand per Time, Optimal (Q;R) Policy with Lost Sales, Pooling Inventory and Cost Saving per Unit Demand, Optimality of SPT Rule, Finding Control Limits for the u Chart, Solving Mathematical Programming Models Using Solver, Finding Inverse of a Matrix Using Excel, and Multiplying Two Matrices Using Excel  

Online content is open source and can be accessed via the "Downloads & Resources" tab at the following page: https://www.mhprofessional.com/9781260461831-usa-operations-engineering-and-management-concepts-analytics-and-principles-for-improvement-group