The Supply Chain in Manufacturing, Distribution, and Transportation
Modeling, Optimization, and Applications
1st Edition
Published on 28. September 2010
Book
Hardback
330 pages
978-1-4200-7945-6 (ISBN)
Description
Reporting on cutting-edge research in production, distribution, and transportation, The Supply Chain in Manufacturing, Distribution, and Transportation: Modeling, Optimization, and Applications provides the understanding needed to tackle key problems within the supply chain. Viewing the supply chain as an integrated process with regard to tactical and operational planning, it details models to help you address the wide range of organizational issues that can adversely affect your supply chain.
This compilation of scholarly research work from academia and industry considers high-level production schedules, product sourcing, network alignment, distribution center layouts, transportation operations with stochastic demand, inventory planning, and day-to-day operations planning. The book is divided into three sections:
Industrial and Service Applications of the Supply Chain
Analytic Probabilistic Models in Supply Chain Problems
Optimization Models of Supply Chain Problems
Because tactical and operational models rely on quality forecasts of demand, the text examines stochastic customer demand, coordination of supply chain functions, and solution algorithms. It reviews real-world business applications and case studies that illustrate the modeling solutions discussed.
This compilation of scholarly research work from academia and industry considers high-level production schedules, product sourcing, network alignment, distribution center layouts, transportation operations with stochastic demand, inventory planning, and day-to-day operations planning. The book is divided into three sections:
Industrial and Service Applications of the Supply Chain
Analytic Probabilistic Models in Supply Chain Problems
Optimization Models of Supply Chain Problems
Because tactical and operational models rely on quality forecasts of demand, the text examines stochastic customer demand, coordination of supply chain functions, and solution algorithms. It reviews real-world business applications and case studies that illustrate the modeling solutions discussed.
Reviews / Votes
Lawrence (management, New Jersey Institute of Technology), Klimberg (decision and system sciences, Saint Joseph's U.), and Miori (decision and system sciences, Saint Joseph's U.) present research conducted in order to provide insight on the integration of transportation, distribution, and production in the management of the supply chain. Fourteen chapters are organized into sections examining industrial and service applications of the supply chain, analytic probabilistic models of supply chain problems, and optimization models of supply chain problems.-In Research Book News, booknews.com, February 2011More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Professional Practice & Development and Undergraduate
Illustrations
60 s/w Abbildungen, 55 s/w Tabellen
55 Tables, black and white; 60 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Weight
635 gr
ISBN-13
978-1-4200-7945-6 (9781420079456)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Kenneth D. Lawrence | Ronald K. Klimberg | Virginia M. Miori
The Supply Chain in Manufacturing, Distribution, and Transportation
Modeling, Optimization, and Applications
Book
06/2019
1st Edition
CRC Press
€89.20
Shipment within 10-20 days
Kenneth D. Lawrence | Ronald K. Klimberg | Virginia M. Miori
The Supply Chain in Manufacturing, Distribution, and Transportation
Modeling, Optimization, and Applications
E-Book
09/2010
Auerbach
€81.99
Available for download
Kenneth D. Lawrence | Ronald K. Klimberg | Virginia M. Miori
The Supply Chain in Manufacturing, Distribution, and Transportation
Modeling, Optimization, and Applications
E-Book
09/2010
1st Edition
Auerbach
€81.99
Available for download
Persons
Kenneth D. Lawrence, Ph.D., is a professor of Management and Marketing Science and Decision Support Systems in the School of Management at the New Jersey Institute of Technology. His professional employment includes over 20 years of technical management experience with AT&T as Director, Decision Support Systems and Marketing Demand Analysis; Hoffmann-La Roche, Inc.; Prudential Insurance; and the U.S. Army in forecasting, marketing planning and research, statistical analysis, and operations research. He is a full member of the Graduate Doctoral Faculty of Management at Rutgers, the State University of New Jersey, in the Department of Management Science and Information Systems. Lawrence has served as the doctoral chairman and thesis advisor for four Rutgers doctoral students. He is a member of the graduate faculty at NJIT in management, transportation, statistics, and industrial engineering. He is also an active participant in professional associations, including the Decision Sciences Institute, Institute of Management Science, Institute of Industrial Engineers, American Statistical Association, and Institute of Forecasters. He has conducted significant funded research projects in health care and transportation.Lawrence is the Associate Editor of the Journal of Statistical Computation and Simulation and the Review of Quantitative Finance and Accounting, and also serves on the editorial boards of Computers and Operations Research and the Journal of Operations Management. His research work has been cited hundreds of times in 74 different journals, including Computers and Operations Research, International Journal of Forecasting, Journal of Marketing, Sloan Management Review, Management Science, Sloan Management Review, Technometrics, Applied Statistics, Interfaces, International Journal of Physical Distribution and Logistics, and the Journal of the Academy of Mar
Content
Analytic Probabilistic Models of Supply Chain Problems. A Determination of the Optimal Level of Collaboration between a Contractor and Its Suppliers under Demand Uncertainty. Online Auction Models and Their Impact on Sourcing and Supply Management. Analytical Models for Integrating Supplier Selection and Inventory Decisions. Inventory Optimization of Small Business Supply Chains with Stochastic Demand. Optimization Models of Supply Chain Problems. A Dynamic Programming Approach to the Stochastic Truckload Routing Problem. Modeling Data Envelopment Analysis (DEA) Efficient Location/Allocation Decisions. Sourcing Models for End-of-Use Products in a Closed-Loop Supply Chain. A Bi-Objective Supply Chain Scheduling. Applying Data Envelopment Analysis and Multiple Objective Data Envelopment Analysis to Identify Successful Pharmaceutical Companies.