ISBN-10:
9813108797
ISBN-13:
9789813108790
Pub. Date:
05/23/2017
Publisher:
World Scientific Publishing Company, Incorporated
Managing Supply Chain Operations

Managing Supply Chain Operations

Hardcover

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Overview

This 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.

Product Details

ISBN-13: 9789813108790
Publisher: World Scientific Publishing Company, Incorporated
Publication date: 05/23/2017
Pages: 304
Sales rank: 255,618
Product dimensions: 6.10(w) x 9.10(h) x 0.70(d)

Table of Contents

Preface vii

About the Authors xi

1 Introduction to Supply Chain Management 1

1.1 Challenges of Supply Chain Management 1

1.2 Operations Management vs. Supply Chain Management 2

1.3 Major Drivers Affecting Supply Chain Performance 7

1.3.1 Demand forecasting 7

1.3.2 Demand-supply planning 8

1.3.3 Inventory management 9

1.3.4 Project management 10

1.3.5 Service management 11

Endnotes 12

2 Forecasting and Demand Management 13

2.1 Introduction to Forecasting 13

2.2 Fundamentals of Time Series 18

2.3 Models for Predicting Stationary Series 23

2.3.1 Arithmetic mean 24

2.3.2 Last period value model 25

2.3.3 Moving average (MA(N)) model 29

2.3.4 Exponential smoothing (α) model 36

2.4 Models for Predicting a Trend 42

2.4.1 Simple linear regression model 43

2.4.2 Holt's trend (α, β) model 50

2.5 Models for Predicting a Seasonal Series 52

2.5.1 Naive or regression model with seasonal adjustment 55

2.5.2 Winter's (α, β, γ) model 57

2.6 Demand Categorization and Management Strategies 58

2.7 Collaborative Planning, Forecasting, and Replenishment 60

2.8 Case Studies 61

2.8.1 Stay Warm Call Center 61

2.8.2 Xenon Products Company 63

2.8.3 ACT - The demand-supply mismatch problem 66

2.9 Exercises 72

Appendix

A2.1 Derivation of Regression Coefficients for the Simple Linear Regression Model 78

Endnotes 79

3 Sales and Operations Planning 81

3.1 Sales and Operations Planning in Practice 81

3.2 Fundamentals of Linear Programming Modeling 88

3.3 Modeling with Integer and Binary Variables 91

3.4 Using Microsoft Excel Solver for Demand-Supply Planning 97

3.5 Demand and Supply Planning Strategies 101

3.6 Case Studies 103

3.6.1 EnergyBoat, Inc 103

3.6.2 Air Champion outsourcing 110

3.6.3 PowerZoom Energy Bar 114

3.7 Exercises 116

Appendix

A3.1 How to install and access Microsoft Excel Solver 121

A3.2 Fundamentals of LP sensitivity analysis 125

Endnotes 131

4 Inventory Management 133

4.1 Introduction to Inventory Management 133

4.2 Characteristics of an Inventory System 140

4.3 Economies of Scale - Cycle Stock 147

4.3.1 Classical EOQ model 147

4.3.2 The mixed SKU strategy - joint ordering strategy 154

4.3.3 Quantity discount model 157

4.3.4 EOQ model with planned shortages 161

4.3.5 EOQ model with finite delivery rate 166

4.4 Managing Uncertainty for Short Life Cycle Items 168

1.4.1 The Newsvendor Model 169

4.5 Managing Uncertainty for Durable Items - Safety Stock Model 173

4.5.1 The continuous-review batch size - reorder point (Q- R) model 174

4.5.2 The periodic-review base-stock model 177

4.5.3 Risk pooling effect 179

4.6 Case Studies Economics of Scale - Cycle Stock 180

4.6.1 Office Supplies, Inc 180

4.6.2 Mountain Tent Company 182

4.6.3 Do-Icier 183

4.7 Case Study Managing Uncertainty for Durable Items - Safety Stock Model 184

1.7.1 ImportHome LLC 184

4.8 Exercises 186

Endnotes 188

5 Project Scheduling and Management 191

5.1 Introduction to Project Management 191

5.1.1 Project management - basic concepts 191

5.1.2 Network representation 198

5.2 Critical Path Method 199

5.3 Time-Cost Analysis 205

5.3.1 Crashing activity times - a linear programming model 205

5.3.2 Cost vs. benefit of expediting activity time(s) 208

5.4 Program Evaluation and Review Techniques 214

5.5 Human Factors 218

5.6 Project Management Software - Microsoft Project 220

5.7 Case Study - Product Launch Process 222

5.7.1 PDS Company 222

5.8 Exercises 223

Endnotes 230

6 Service Management 231

6.1 Introduction to Service Management 231

6.1.1 Service management economics 232

6.2 Waiting Line Management 234

6.2.1 Causes of congestion 236

6.2.2 Characteristics of waiting lines 239

6.2.3 M/M/s queueing models 241

6.2.4 Monte Carlo simulation 251

6.2.5 Strategies for managing waiting lines 256

6.3 Capacity Management 260

6.3.1 Strategies for capacity management 260

6.3.2 Quantitative tools for staff planning and scheduling 263

6.4 Case Studies 266

6.4.1 Hillcrest Bank - staffing and scheduling 266

6.4.2 Brier Health Systems - Centralized Customer Contact Center 269

6.5 Exercises 270

Endnotes 274

Index 275

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