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Supply Chain Engineering: Useful Methods and Techniques [Hardback]

  • Formāts: Hardback, 541 pages, height x width: 235x155 mm, weight: 2120 g, XX, 541 p., 1 Hardback
  • Izdošanas datums: 17-Jun-2010
  • Izdevniecība: Springer London Ltd
  • ISBN-10: 184996016X
  • ISBN-13: 9781849960168
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  • Formāts: Hardback, 541 pages, height x width: 235x155 mm, weight: 2120 g, XX, 541 p., 1 Hardback
  • Izdošanas datums: 17-Jun-2010
  • Izdevniecība: Springer London Ltd
  • ISBN-10: 184996016X
  • ISBN-13: 9781849960168
Citas grāmatas par šo tēmu:
Supply Chain Engineering considers how modern production and operations management (POM) techniques can respond to the pressures of the competitive global marketplace by integrating all activities in the supply chain, adding flexibility to the system, and drastically reducing production cost.

Several POM challenges are answered through a comprehensive analysis of concepts and models that assist the selection of outsourcing strategies and dynamic pricing policies. Supply Chain Engineering presents inventory management techniques in supply chains, radio frequency identification (RFID) technologies, and methods for the design of flexible and re-configurable manufacturing systems, as well as real-time assignment and scheduling methods.

Explanations are given using basic examples and detailed algorithms, while discarding complex and unnecessary theoretical minutiae. In addition, all the examples have been carefully selected with a view to eventual industrial application.

Supply Chain Engineering is written for students and professors in industrial and systems engineering, management science, operations management, and business. It is also an informative reference for industrial managers looking to improve the efficiency and effectiveness of their production systems.

Recenzijas

"In particular, the new book by Dolgui and Proth is a welcome addition to the knowledge needed for the design of effective, productive supply chains, with an emphasis on useful methods and solution techniques. Indeed, the choice of topics covered by this book is a careful balance between the engineering solution of problems concerning the entire supply chain, such as pricing, outsourcing, and inventory management throughout the supply chain, and of problems concerning the components of the chain, such as manufacturing/service layout, flow line balancing, and warehouse management.  Both perspectives are essential  for success, since a chain is as strong as its weakest link, while at the same time a chain must perform better than the sum of its individual elements.

When I read and evaluated this book as a candidate for our students in the course Design and Control of Production and Manufacturing Systems this year, for both graduate and advanced undergraduate students, I needed to answer this question: What is the strongest attribute of this new book? Throughout the pages I found the answer (and ended up recommending it): These authors, both experts in the theory of supply chain engineering and innovators of algorithms and methods themselves, have been able to contain their deep knowledge of complex theory by understanding what industry truly needs, and have indeed presented it at the right level. There are still plenty of advanced and rigorous algorithms and techniques besides the concise summaries of advanced material and simpler solution approaches; hence, the more mathematical and the less analytical students, researchers, engineering practitioners and designers, managers and consultants will find relevant and necessary knowledge for success with their supply chains."

Prof. Shimon Y. Nof, Production Planning & Control: The Management ofOperations, Francis & Taylor, 04 Jan 2012

 

This book contributes to lessen the gap between academic methods and business activities by providing simple and systematic methods for a series of supply chain problems faced by real world decision makers and managers. The book accomplishes a triple objective for the reader: to provide the basic concepts and representation models for identified problems, to provide an actual view of businesses and to provide practical strategies to include market, competition and external context issues in management decisions.

 The book will be certainly useful both for managers and the academic community, since students can use it for understanding how theory and conceptual solutions are applied in real life, and for practitioners who will find in this book a practical guide for application of modern methods to real-life problems.

Prof. Susana Relvas, European Journal of Operational Research, Elsevier, vol. 211, 2011, pp. 216217

 

The book chapters address, in parallel presentations, various aspects of supply chain engineering and management. In each chapter, the terminology is explained first, then the well established results reported in the literature are reviewed to set the stage for presentation of new results. In most cases the presentation of methods and technologies is illustrated with real-life examples.

The book, which is written by the right authors, came at the right time to help the managers and other knowledge workers of the industrial organisations to become familiar with useful, usable and utilized methodologies and technologies which can contribute to improving the performance of theenterprise. At the same time, the work can be viewed as pointer to a very promising research direction for the academia people and researchers from system and industrial engineering. Consultants and software companies may get new inspiring ideas from this book.

Acad. Florin Gheorghe Filip, Studies in Informatics and Control, vol. 20, n° 3, 2011

1 Introduction to Pricing
1(40)
1.1 Introduction
1(2)
1.2 Definitions and Notations
3(1)
1.3 High -and Low-price Strategies
4(1)
1.4 Adjustable Strategies
5(4)
1.4.1 Market Segmentation (or Price Discrimination) Strategy
6(1)
1.4.2 Discount Strategy
7(1)
1.4.3 Price Skimming
8(1)
1.4.4 Penetration Pricing
9(1)
1.4.5 Yield Management (Revenue Management)
9(1)
1.5 Margin, Price, and Selling Level
9(6)
1.5.1 Notations
10(1)
1.5.2 Basic Relation
10(2)
1.5.3 Equilibrium Point
12(1)
1.5.4 Items Sold with Regard to Price (Margin Being Constant)
13(2)
1.6 Price Versus Sales Volume: the Selling Curve
15(5)
1.6.1 Introduction
15(1)
1.6.2 Cost-plus Method
16(1)
1.6.3 Price Testing
16(1)
1.6.4 Estimation Made by Experts
17(1)
1.6.5 Market Analysis
17(3)
1.6.6 Customer Surveying
20(1)
1.7 Conjoint Measurement
20(12)
1.7.1 Introduction and Definitions
20(1)
1.7.2 Profile Method
21(5)
1.7.3 Two-factor Method
26(3)
1.7.4 Clustering for Market Segmentation
29(3)
1.8 Price Strategy in Oligopoly Markets
32(5)
1.8.1 Reactions of Competitors
33(1)
1.8.2 Decreasing Prices
33(2)
1.8.3 Increasing Prices
35(2)
1.9 Conclusion
37(1)
References
38(1)
Further Reading
38(3)
2 Dynamic Pricing Models
41(36)
2.1 Introduction
41(2)
2.2 Time-dated Items: a Deterministic Model
43(6)
2.2.1 Problem Setting
43(1)
2.2.2 Solving the Problem: Overall Approach
44(1)
2.2.3 Solving the Problem: Example for a Given Price Function
45(4)
2.2.4 Remarks
49(1)
2.3 Dynamic Pricing for Time-dated Products: a Stochastic Model
49(11)
2.3.1 Problem Considered
50(3)
2.3.2 Solution to the Problem
53(3)
2.3.3 Probability for the Number of Items at a Given Point in Time
56(3)
2.3.4 Remarks
59(1)
2.4 Stochastic Dynamic Pricing for Items with Salvage Values
60(15)
2.4.1 Problem Studied
60(1)
2.4.2 Price as a Function of Inventory Levels: General Case
61(10)
2.4.3 Price as a Function of Inventory Levels: a Special Case
71(4)
2.5 Concluding Remarks
75(1)
Reference
75(1)
Further Reading
75(2)
3 Outsourcing
77(32)
3.1 Introduction
77(3)
3.2 Outsourcing Process
80(2)
3.3 Vendor Selection and Evaluation Model
82(12)
3.3.1 Model Formulation
82(6)
3.3.2 Solution Approaches
88(6)
3.4 Strategic Outsourcing
94(5)
3.4.1 Case D0.0<D1.1
95(3)
3.4.2 Case D1.1 <D0.0
98(1)
3.5 Pros and Cons of Outsourcing
99(1)
3.6 A Country of Active Offshore Vendors: China
100(4)
3.6.1 Recent History
100(1)
3.6.2 Consequences
101(2)
3.6.3 Chinese Strategy to Acquire Know-how and Technology
103(1)
3.7 Offshore Outsourcing: a Harmful Strategy?
104(2)
3.7.1 Introductory Remarks
104(1)
3.7.2 Risk of Introducing Innovations Abroad
105(1)
3.7.3 How Could Offshore Outsourcing Be Harmful to Some Groups?
105(1)
3.7.4 How Could Offshore Outsourcing Be Harmful to a Country?
105(1)
3.7.5 How Could Offshore Outsourcing Be Harmful to the World?
106(1)
3.8 Conclusion
106(1)
References
107(1)
Further Reading
107(2)
4 Inventory Management in Supply Chains
109(54)
4.1 Introduction
109(4)
4.2 Inventories in Supply Chains
113(9)
4.2.1 Definition of a Supply Chain
113(1)
4.2.2 Inventory Problems in a Supply Chain
114(1)
4.2.3 Bullwhip Effect
115(7)
4.3 Stochastic Inventory Problems
122(10)
4.3.1 Newsvendor (or Newsboy) Problem
122(3)
4.3.2 Finite-horizon Model with Stochastic Demand
125(2)
4.3.3 (R, Q) Policy
127(3)
4.3.4 (s, S) Policy
130(2)
4.4 Echelon Stock Policies
132(7)
4.4.1 Introductory Remarks
132(1)
4.4.2 Material Requirements Planning (MRP)
133(5)
4.4.3 Manufacturing Resources Planning (MRP2)
138(1)
4.5 Production Smoothing: Lot-size Models
139(13)
4.5.1 Discrete Monoproduct Problem
140(5)
4.5.2 Continuous Monoproduct Problem
145(3)
4.5.3 Multiproduct Problem
148(3)
4.5.4 Economic Order Quantity (EOQ)
151(1)
4.6 Pull Control Strategies
152(5)
4.6.1 Kanban Model
152(2)
4.6.2 Base Stock Policy
154(1)
4.6.3 Constant Work-in-progress (CONWIP)
155(1)
4.6.4 Generalized Kanban
156(1)
4.6.5 Extended Kanban
157(1)
4.7 Conclusion
157(1)
References
158(2)
Further Reading
160(3)
5 Radio-frequency Identification (RFID): Technology and Applications
163(32)
5.1 Introduction
163(2)
5.2 Technical Overview
165(4)
5.2.1 Global Description
165(1)
5.2.2 Properties
166(2)
5.2.3 Parameters of Importance when Selecting Tags
168(1)
5.2.4 Auto-ID Center at MIT
169(1)
5.3 Succinct Guideline for RFID Deployment
169(2)
5.3.1 Choice of the Technology
169(1)
5.3.2 Analysis of Problems that May Happen
170(1)
5.3.3 Matching RFID with IT
170(1)
5.4 RFID Applications
171(9)
5.4.1 Application to Inventory Systems
171(3)
5.4.2 RFID Systems in Supply Chains
174(5)
5.4.3 Various Applications Related to Movement Tracking
179(1)
5.5 Some Industrial Sectors that Apply RFID
180(3)
5.5.1 Retail Industry
180(1)
5.5.2 Logistics
181(1)
5.5.3 Pharmaceutical Industry
181(1)
5.5.4 Automotive Industry
182(1)
5.5.5 Security Industry
182(1)
5.5.6 Finance and Banking Industry
182(1)
5.5.7 Waste Management
182(1)
5.5.8 Processed Food Industry
183(1)
5.6 Advantages when Applying RFID Technology to Supply Chains
183(2)
5.7 Expert Opinion on the Matter
185(1)
5.8 Economic Evaluation of the Use of RFID in Supply Chains
185(3)
5.8.1 Current Situation
185(2)
5.8.2 How to Proceed?
187(1)
5.9 Privacy Concerns
188(2)
5.9.1 Main Privacy Concerns
188(1)
5.9.2 How to Protect Privacy?
189(1)
5.10 Authentication
190(1)
5.11 Conclusion
191(1)
References
192(1)
Further Reading
192(3)
6 X-manufacturing Systems
195(42)
6.1 Introduction
195(2)
6.2 Mass Production
197(1)
6.3 Flexible Manufacturing Systems (FMS)
197(6)
6.3.1 What Does Flexibility Means?
197(1)
6.3.2 Definition of FMS
198(4)
6.3.3 Advantages and Limitations of FMS
202(1)
6.4 Agile Manufacturing Systems (AMS)
203(4)
6.4.1 Definition
203(2)
6.4.2 Agile Versus Lean
205(1)
6.4.3 Agile Versus Flexible
205(1)
6.4.4 Cost Stability During the Life of an AMS
205(2)
6.5 Reconfigurable Manufacturing Systems (RMS)
207(11)
6.5.1 Motivation
207(1)
6.5.2 RMS Definition
208(2)
6.5.3 Reconfiguration for Error Handling
210(1)
6.5.4 A Problem Related to RMS
211(7)
6.6 Lean Manufacturing Systems (LMS)
218(15)
6.6.1 Definition
218(1)
6.6.2 How to Eliminate Wastes?
219(1)
6.6.3 Six Core Methods to Implement Lean Manufacturing
220(13)
6.7 Conclusion
233(1)
References
234(1)
Further Reading
234(3)
7 Design and Balancing of Paced Assembly Lines
237(40)
7.1 Simple Production Line (SPL) and Simple Assembly Line (SAL)
237(3)
7.2 Simple Assembly Line Balancing (SALB)
240(1)
7.3 Problem SALB-1
241(14)
7.3.1 Common Sense Approach
241(3)
7.3.2 COMSOAL Algorithm
244(2)
7.3.3 Improvement of COMSOAL
246(2)
7.3.4 RPW Method
248(3)
7.3.5 Kilbridge and Wester (KW)-like Heuristic
251(1)
7.3.6 Branch and Bound (B&B) Approaches
251(2)
7.3.7 Mathematical Formulation of a SALB-1 Problem
253(2)
7.4 Problem SALB-2
255(3)
7.4.1 Heuristic Algorithm
256(1)
7.4.2 Algorithm Based on Heuristics for SALB-1
257(1)
7.4.3 Mathematical Formulation of Problem SALB-2
258(1)
7.5 Using Metaheuristics
258(12)
7.5.1 Simulated Annealing
259(1)
7.5.2 Tabu Search
259(2)
7.5.3 Genetic Algorithms
261(9)
7.6 Properties and Evaluation of a Line-balancing Solution
270(3)
7.6.1 Relationship Cycle Time/Number of Stations/Throughput
270(1)
7.6.2 Evaluation of a Line-balancing Solution
271(2)
7.7 Concluding Remarks
273(1)
References
274(1)
Further Reading
274(3)
8 Advanced Line-balancing Approaches and Generalizations
277(50)
8.1 Introduction
277(1)
8.2 Single Type of Product and Triangular Operation Times
278(6)
8.2.1 Triangular Density of Probability
278(2)
8.2.2 Generating a Random Value
280(1)
8.2.3 Assembly-line Balancing
280(4)
8.3 Particular Case: Gaussian Operation Times
284(6)
8.3.1 Reminder of Useful Properties
284(2)
8.3.2 Integration Using Tchebycheff's Polynomials
286(1)
8.3.3 Algorithm Basis
287(2)
8.3.4 Numerical Example
289(1)
8.4 Mixed-model Assembly Line with Deterministic Task Times
290(9)
8.4.1 Introduction
290(1)
8.4.2 Ratios are Constant
291(1)
8.4.3 Ratios are Stochastic
291(8)
8.5 Mixed-model Line Balancing: Stochastic Ratio and Operation Times
299(5)
8.5.1 Introduction
299(1)
8.5.2 Evaluation of an Operation Time
299(1)
8.5.3 ALB Algorithm in the Most General Case
300(1)
8.5.4 Numerical Example
301(3)
8.6 How to React when the Loads of Stations Exceed the Cycle Time by Accident?
304(2)
8.6.1 Model 1
305(1)
8.6.2 Model 2
305(1)
8.6.3 Model 3
305(1)
8.7 Introduction to Parallel Stations
306(1)
8.8 Particular Constraints
307(4)
8.8.1 A Set of Operations Should be Assigned to the Same Station
308(1)
8.8.2 Two Operations Should be Assigned to Different Stations
308(1)
8.8.3 Line Balancing with Equipment Selection
308(3)
8.9 Specific Systems with Dynamic Work Sharing
311(13)
8.9.1 Bucket-brigade Assembly Lines
312(4)
8.9.2 U-shaped Assembly Lines
316(7)
8.9.3 Concluding Remarks
323(1)
References
324(1)
Further Reading
324(3)
9 Dynamic Scheduling and Real-time Assignment
327(44)
9.1 Introduction and Basic Definitions
327(4)
9.2 Dynamic Scheduling
331(14)
9.2.1 Reactive Scheduling: Priority (or Dispatching) Rules
331(6)
9.2.2 Predictive-reactive Scheduling
337(8)
9.3 Real-time Assignment with Fixed Previous Assignments
345(14)
9.3.1 Problem Formulation
346(1)
9.3.2 Case of a Linear Production
347(4)
9.3.3 Control of the Production Cycle
351(2)
9.3.4 Control of the Production Cycle and the WIP
353(1)
9.3.5 Assembly Systems
354(5)
9.4 Real-time Assignment with Possible Limited Adjustment of Previous Assignments
359(8)
9.4.1 Setting the Problem
359(1)
9.4.2 Basic Relations
360(3)
9.4.3 Real-time Algorithm in the Case of Adjustment
363(1)
9.4.4 Case of a Linear Production
364(3)
9.5 Conclusion
367(1)
References
368(1)
Further Reading
369(2)
10 Manufacturing Layout
371(48)
10.1 Introduction
371(1)
10.2 Static Facility Layouts
372(31)
10.2.1 Basic Layout Models
372(2)
10.2.2 Selection of a Type of Layout
374(2)
10.2.3 Layout Design
376(1)
10.2.4 Design of Manufacturing Entities
377(17)
10.2.5 Location of Manufacturing Entities on an Available Space
394(5)
10.2.6 Layout Inside Manufacturing Entities
399(3)
10.2.7 Balancing of the Manufacturing Entities
402(1)
10.3 Facility Layout in a Dynamic Environment
403(11)
10.3.1 Changes in the Needs of Manufacturing Systems
403(2)
10.3.2 Robust Layouts
405(5)
10.3.3 Dynamic Facility Layout
410(4)
10.4 Conclusion
414(1)
References
415(1)
Further Reading
416(3)
11 Warehouse Management and Design
419(30)
11.1 Introduction
419(1)
11.2 Warehouse Types and Usefulness
420(3)
11.2.1 Warehouse Taxonomies
420(2)
11.2.2 Warehouse Usefulness
422(1)
11.3 Basic Warehousing Operations
423(6)
11.3.1 Receiving
423(1)
11.3.2 Storage
423(4)
11.3.3 Automated Systems
427(2)
11.4 Warehouse Management
429(2)
11.4.1 Warehouse Functions
429(2)
11.4.2 Warehouse Management Systems (WMS)
431(1)
11.5 Design: Some Remarks
431(9)
11.5.1 Warehouse Overview
431(4)
11.5.2 Storage in Unit-load Warehouse
435(1)
11.5.3 Warehouse Sizing
436(4)
11.6 Warehouse -location Models
440(5)
11.6.1 Introduction
440(1)
11.6.2 Single-flow Hierarchical Location Problem
441(3)
11.6.3 Multiflow Hierarchical Location Problem
444(1)
11.6.4 Remarks on Location Models
444(1)
11.7 Conclusion
445(1)
References
445(1)
Further Reading
446(3)
A Simulated Annealing 449(10)
B Dynamic Programming 459(24)
C Branch-and-Bound Method 483(20)
D Tabu Search Method 503(16)
E Genetic Algorithms 519(12)
Authors' Biographies 531(2)
Index 533
Alexandre Dolgui is Director of the Centre for Industrial Engineering and Computer Science at the Ecole des Mines de Saint-Etienne (France). His principal research focuses on manufacturing line design, production planning and supply chain optimization. At present, he has published 5 books, about 130 papers in refereed journals and 25 book chapters.

Professor Dolgui is the Editor-in-Chief of the International Journal of Production Research, an Area Editor of Computers and Industrial Engineering, and Associate Editor of the Omega and the IEEE Transactions on Industrial Informatics. He is also an editorial board member of several journals, including the International Journal of Production Economics, the International Journal of Systems Sciences (past Associate Editor) and the International Journal of Manufacturing Technology and Management.  He was guest editor of special issues of Journal of Intelligent Manufacturing, International Journal of Production Research, International Journal of Production Economics, Journal of Mathematical Modeling and Algorithms, European Journal of Operational Research and Annual Reviews in Control. He has been Scientific Chair of several major international symposiums and conferences. Prof. Dolgui has been the supervisor of 18 PhD theses in France.

He is a member of various international advisory councils, such as the Board of the International Foundation for Production Research; Founding member of the European Virtual Institute on Innovation in Industrial Supply Chains and Logistic Networks and chairman of IFAC Technical Committee on Manufacturing Modelling for Management and Control.

Prof. Jean-Marie Proth is currently Consultant, Researcher and an Associate Editor of the IEEE Transactions on Industrial Informatics. He has been Research Director at INRIA (National Institute for Computer Science and Automation), leader of the SAGEP (Simulation, Analysisand Management of Production Systems) team and the Lorraine research centre of INRIA, Associate Member in the Laboratory of Mechanical Engineering, University of Maryland, University Professor in France, as well as at the European Institute for Advanced Studies in Management (Brussels). He has carried on close collaboration with several US universities. His main research focuses on operations research techniques, Petri nets and data analysis for production management, especially facility layout, scheduling and supply chains.

Prof. Proth has authored or coauthored 15 books (text books and monographs) and more than 150 papers in major peer-reviewed international journals. He is the author or coauthor of about 300 papers for international conferences and 7 book chapters, the editor of 8 proceedings of international conferences, 55 times an invited speaker or invited professor throughout the world.

J.-M. Proth was the supervisor of 28 PhD theses in France and the USA. He was also a coeditor of the journal Applied Stochastic Models and Data Analysis. He was an Associate Editor of IEEE Transactions on Robotics and Automation (19951998). He was guest editor of Engineering Costs and Production Economics and several other refereed international journals. He has been the Chairman of the Program Committee of various international conferences, an officer of several professional societies, for example: International Society for Productivity Enhancement, Vice-President of Flexible Automation, 19921995.