06580nam a2200253 4500 20260428115123.0 9780000988867 English 658.7 LEI/M Colon Classification Lei, Lei 13617 Managing Supply Chain Operations 1 New Jersey: World Scientific, 2021 282p. This book is suitable for courses at the MBA core level, PGDIBO students who are pursuing International Business at PG level, MS in supply chain management level, upper undergraduate level, and also suitable for executive education. The book is very constructive for managers involved in creating, optimizing or redesigning a supply chain. Readers after reading would unquestionably have say to, the supply chain decision-making process and build academic orientation in logistics.'Global Journal of Enterprise Information SystemThis book, developed in collaboration with the Rutgers Center for Supply Chain Management and based upon research projects conducted with over 100 participating corporations, combines theory and practice in presenting the concepts necessary for strategic implementation of supply chain management techniques in a global environment. Coauthored by top teaching and research faculty and a senior industry executive, this academic/industry partnership ensures the relevance of the text in terms of both practical application and academic rigor.This book introduces students to the key drivers of supply chain performance, including demand forecasting, sales and operations planning, inventory control, capacity analysis, transportation models, supply chain integration, and project management and risk analysis. It is enhanced by real-life examples and case studies as well as strategies from best practices and a focus on social and economic impact. The content reaches beyond a traditional operations management text and draws on the extensive experience of the authors conducting industry projects through the Rutgers Center for Supply Chain Management. The input of senior business executives has been an invaluable asset in presenting a balanced knowledge of both quantitative models and qualitative insights.This book is suitable for courses at the MBA core level, MS in supply chain management level, upper undergraduate level, and also suitable for executive education. ContentsPreface About the Authors 1. Introduction to Supply Chain Management 1.1 Challenges of Supply Chain Management 1.2 Operations Management vs. Supply Chain Management 1.3 Major Drivers Affecting Supply Chain Performance 1.3.1 Demand forecasting 1.3.2 Demand–supply planning 1.3.3 Inventory management 1.3.4 Project management 1.3.5 Service management Endnotes 2. Forecasting and Demand Management 2.1 Introduction to Forecasting 2.2 Fundamentals of Time Series 2.3 Models for Predicting Stationary Series 2.3.1 Arithmetic mean 2.3.2 Last period value model 2.3.3 Moving average (MA(N)) model 2.3.4 Exponential smoothing (α) model 2.4 Models for Predicting a Trend 2.4.1 Simple linear regression model . 2.4.2 Holt’s trend (α, β) model . 2.5 Models for Predicting a Seasonal Series 2.5.1 Naïve or regression model with seasonal adjustment 2.5.2 Winter’s (α, β, γ) model 2.6 Demand Categorization and Management Strategies 2.7 Collaborative Planning, Forecasting, and Replenishment 2.8 Case Studies 2.8.1 Stay Warm Call Center 2.8.2 Xenon Products Company 2.8.3 ACT — The demand–supply mismatch problem 2.9 Exercises Appendix A2.1: Derivation of Regression Coefficients for the Simple Linear Regression Model Endnote 3. Sales and Operations Planning 3.1 Sales and Operations Planning in Practice1 3.2 Fundamentals of Linear Programming Modeling 3.3 Modeling with Integer and Binary Variables 3.4 Using Microsoft Excel Solver for Demand–Supply Planning 3.5 Demand and Supply Planning Strategies 3.6 Case Studies 3.6.1 EnergyBoat, Inc. 3.6.2 Air Champion outsourcing 3.6.3 PowerZoom Energy Bar 3.7 Exercises Appendix A3.1: How to install and access Microsoft Excel Solver A3.2: Fundamentals of LP sensitivity analysis Endnote 4. Inventory Management 4.1 Introduction to Inventory Management 4.2 Characteristics of an Inventory System 4.3 Economies of Scale — Cycle Stock 4.3.1 Classical EOQ model 4.3.2 The mixed SKU strategy — joint ordering strategy 4.3.3 Quantity discount model 4.3.4 EOQ model with planned shortages 4.3.5 EOQ model with finite delivery rate 4.4 Managing Uncertainty for Short Life Cycle Items 4.4.1 The Newsvendor Model 4.5 Managing Uncertainty for Durable Items — Safety Stock Model 173 4.5.1 The continuous-review batch size — reorder point (Q–R) model 4.5.2 The periodic-review base-stock model 4.5.3 Risk pooling effect 4.6 Case Studies — Economies of Scale — Cycle Stock 4.6.1 Office Supplies, Inc. 4.6.2 Mountain Tent Company 4.6.3 De-Icier 4.7 Case Study — Managing Uncertainty for Durable Items — Safety Stock Model 4.7.1 ImportHome LLC 4.8 Exercises Endnotes 5. Project Scheduling and Management 5.1 Introduction to Project Management 5.1.1 Project management — basic concepts . 5.1.2 Network representation 5.2 Critical Path Method 5.3 Time–Cost Analysis 5.3.1 Crashing activity times — a linear programming model 205 5.3.2 Cost vs. benefit of expediting activity time(s) 5.4 Program Evaluation and Review Techniques 5.5 Human Factors 5.6 Project Management Software — Microsoft Project 5.7 Case Study — Product Launch Process 5.7.1 PDS Company 5.8 Exercises Endnotes 6. Service Management 6.1 Introduction to Service Management 6.1.1 Service management economics 6.2 Waiting Line Management 6.2.1 Causes of congestion 6.2.2 Characteristics of waiting lines 6.2.3 M/M/s queueing models 6.2.4 Monte Carlo simulation 6.2.5 Strategies for managing waiting lines 6.3 Capacity Management 6.3.1 Strategies for capacity management 6.3.2 Quantitative tools for staff planning and scheduling 263 6.4 Case Studies 6.4.1 Hillcrest Bank — staffing and scheduling 6.4.2 Brier Health Systems — Centralized Customer Contact Center 6.5 Exercises Endnotes Index Chain operations 14147 Lei, Lei 13617 Decandia, Lenardo 13618 Oppenheim,Rosa 13619 Zhao, Yao 13620 ddc BK 756935 756935 0 0 ddc 0 0 NFIC ECN ECN PROC 2026-02-23 ABD-10,07/01/2026 995.00 0 658.7 LEI/M ECN16953 2026-02-24 09:16:12 2026-02-23 BK