Managing Supply Chain Operations (Record no. 756935)

MARC details
000 -LEADER
fixed length control field 06580nam a2200253 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780000988867
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.7
Item number LEI/M
084 ## - OTHER CLASSIFICATION NUMBER
Source of Number Colon Classification
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Lei, Lei
245 ## - TITLE STATEMENT
Title Managing Supply Chain Operations
250 ## - EDITION STATEMENT
Edition statement 1
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication New Jersey:
Name of publisher World Scientific,
Year of publication 2021
300 ## - PHYSICAL DESCRIPTION
Number of Pages 282p.
500 ## - GENERAL NOTE
General note 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.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note ContentsPreface <br/>About the Authors <br/>1. Introduction to Supply Chain Management <br/>1.1 Challenges of Supply Chain Management <br/>1.2 Operations Management vs. Supply Chain Management<br/>1.3 Major Drivers Affecting Supply Chain Performance <br/>1.3.1 Demand forecasting <br/>1.3.2 Demand–supply planning <br/>1.3.3 Inventory management <br/>1.3.4 Project management <br/>1.3.5 Service management<br/>Endnotes <br/>2. Forecasting and Demand Management<br/>2.1 Introduction to Forecasting<br/>2.2 Fundamentals of Time Series<br/>2.3 Models for Predicting Stationary Series <br/> 2.3.1 Arithmetic mean <br/> 2.3.2 Last period value model<br/> 2.3.3 Moving average (MA(N)) model <br/> 2.3.4 Exponential smoothing (α) model <br/>2.4 Models for Predicting a Trend <br/> 2.4.1 Simple linear regression model .<br/> 2.4.2 Holt’s trend (α, β) model .<br/>2.5 Models for Predicting a Seasonal Series <br/> 2.5.1 Naïve or regression model with seasonal adjustment<br/>2.5.2 Winter’s (α, β, γ) model<br/>2.6 Demand Categorization and Management Strategies <br/>2.7 Collaborative Planning, Forecasting, and Replenishment <br/>2.8 Case Studies <br/>2.8.1 Stay Warm Call Center<br/>2.8.2 Xenon Products Company <br/>2.8.3 ACT — The demand–supply mismatch problem <br/>2.9 Exercises <br/>Appendix <br/>A2.1: Derivation of Regression Coefficients for the Simple Linear Regression Model<br/>Endnote<br/>3. Sales and Operations Planning <br/>3.1 Sales and Operations Planning in Practice1<br/>3.2 Fundamentals of Linear Programming Modeling <br/>3.3 Modeling with Integer and Binary Variables<br/>3.4 Using Microsoft Excel Solver for Demand–Supply Planning <br/>3.5 Demand and Supply Planning Strategies <br/>3.6 Case Studies <br/>3.6.1 EnergyBoat, Inc. <br/>3.6.2 Air Champion outsourcing <br/>3.6.3 PowerZoom Energy Bar <br/>3.7 Exercises <br/>Appendix<br/>A3.1: How to install and access Microsoft Excel Solver <br/>A3.2: Fundamentals of LP sensitivity analysis <br/>Endnote<br/>4. Inventory Management<br/>4.1 Introduction to Inventory Management <br/>4.2 Characteristics of an Inventory System <br/>4.3 Economies of Scale — Cycle Stock <br/> 4.3.1 Classical EOQ model <br/> 4.3.2 The mixed SKU strategy — joint ordering strategy <br/> 4.3.3 Quantity discount model<br/> 4.3.4 EOQ model with planned shortages <br/> 4.3.5 EOQ model with finite delivery rate <br/>4.4 Managing Uncertainty for Short Life Cycle Items <br/> 4.4.1 The Newsvendor Model <br/>4.5 Managing Uncertainty for Durable Items — Safety Stock Model 173<br/> 4.5.1 The continuous-review batch size — reorder point (Q–R) model <br/> 4.5.2 The periodic-review base-stock model <br/> 4.5.3 Risk pooling effect <br/>4.6 Case Studies — Economies of Scale — Cycle Stock<br/>4.6.1 Office Supplies, Inc. <br/>4.6.2 Mountain Tent Company <br/>4.6.3 De-Icier <br/>4.7 Case Study — Managing Uncertainty for Durable Items — Safety Stock Model <br/>4.7.1 ImportHome LLC<br/>4.8 Exercises<br/>Endnotes 5. Project Scheduling and Management<br/>5.1 Introduction to Project Management <br/>5.1.1 Project management — basic concepts .<br/>5.1.2 Network representation <br/>5.2 Critical Path Method <br/>5.3 Time–Cost Analysis <br/>5.3.1 Crashing activity times — a linear programming model 205<br/>5.3.2 Cost vs. benefit of expediting activity time(s)<br/>5.4 Program Evaluation and Review Techniques<br/>5.5 Human Factors <br/>5.6 Project Management Software — Microsoft Project <br/>5.7 Case Study — Product Launch Process <br/> 5.7.1 PDS Company <br/>5.8 Exercises <br/>Endnotes <br/>6. Service Management <br/>6.1 Introduction to Service Management <br/>6.1.1 Service management economics <br/>6.2 Waiting Line Management<br/>6.2.1 Causes of congestion<br/>6.2.2 Characteristics of waiting lines <br/>6.2.3 M/M/s queueing models <br/>6.2.4 Monte Carlo simulation <br/>6.2.5 Strategies for managing waiting lines<br/>6.3 Capacity Management<br/>6.3.1 Strategies for capacity management <br/>6.3.2 Quantitative tools for staff planning and scheduling 263<br/>6.4 Case Studies <br/>6.4.1 Hillcrest Bank — staffing and scheduling <br/>6.4.2 Brier Health Systems — Centralized Customer Contact Center<br/>6.5 Exercises <br/>Endnotes <br/>Index
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Chain operations
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Lei, Lei
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Decandia, Lenardo
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Oppenheim,Rosa
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Zhao, Yao
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home Library Current Location Shelving location Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Price effective from Koha item type
    Dewey Decimal Classification     Non-fiction Dept. of Economics Dept. of Economics Processing Center 23/02/2026 ABD-10,07/01/2026 995.00 658.7 LEI/M ECN16953 23/02/2026 Book