Scheduling in Supply Chains Using Mixed Integer Programming (eBook)

Tadeusz Sawik (Autor)

eBook Download: EPUB

2011
John Wiley & Sons (Verlag)
978-1-118-02910-7 (ISBN)

Infos

A unified, systematic approach to applying mixed integer programming solutions to integrated scheduling in customer-driven supply chains

Supply chain management is a rapidly developing field, and the recent improvements in modeling, preprocessing, solution algorithms, and mixed integer programming (MIP) software have made it possible to solve large-scale MIP models of scheduling problems, especially integrated scheduling in supply chains. Featuring a unified and systematic presentation, Scheduling in Supply Chains Using Mixed Integer Programming provides state-of-the-art MIP modeling and solutions approaches, equipping readers with the knowledge and tools to model and solve real-world supply chain scheduling problems in make-to-order manufacturing.

Drawing upon the author's own research, the book explores MIP approaches and examples-which are modeled on actual supply chain scheduling problems in high-tech industries-in three comprehensive sections:

• Short-Term Scheduling in Supply Chains presents various MIP models and provides heuristic algorithms for scheduling flexible flow shops and surface mount technology lines, balancing and scheduling of Flexible Assembly Lines, and loading and scheduling of Flexible Assembly Systems
• Medium-Term Scheduling in Supply Chains outlines MIP models and MIP-based heuristic algorithms for supplier selection and order allocation, customer order acceptance and due date setting, material supply scheduling, and medium-term scheduling and rescheduling of customer orders in a make-to-order discrete manufacturing environment
• Coordinated Scheduling in Supply Chains explores coordinated scheduling of manufacturing and supply of parts as well as the assembly of products in supply chains with a single producer and single or multiple suppliers; MIP models for a single- or multiple-objective decision making are also provided

Two main decision-making approaches are discussed and compared throughout. The integrated (simultaneous) approach, in which all required decisions are made simultaneously using complex, monolithic MIP models; and the hierarchical (sequential) approach, in which the required decisions are made successively using hierarchies of simpler and smaller-sized MIP models. Throughout the book, the author provides insight on the presented modeling tools using AMPL® modeling language and CPLEX solver.

Scheduling in Supply Chains Using Mixed Integer Programming is a comprehensive resource for practitioners and researchers working in supply chain planning, scheduling, and management. The book is also appropriate for graduate- and PhD-level courses on supply chains for students majoring in management science, industrial engineering, operations research, applied mathematics, and computer science.

TADEUSZ SAWIK, PhD, is Professor of Industrial and Management Engineering and Chair of the Department of Operations Research and Information Technology at AGH University of Science and Technology (Krakow, Poland). He has published numerous books and more than 150 journal articles on supply chain optimization in high-tech industry and discrete optimization in flexible manufacturing systems; production planning and scheduling by mixed integer programming; and combinatorial optimization.

Inhalt

Preface.

Acknowledgments.

Introduction.

List of Figures.

List of Tables.

Part I. Short-Term Scheduling in Supply Chains.

1. Scheduling of Flexible Flow Shops.

2. Scheduling of Surface Mount Technology Lines.

3. Balancing and Scheduling Flexible Assembly Lines.

4. Loading and Scheduling of Flexible Assembly Systems.

Part II. Medium-Term Scheduling in Supply Chains.

5. Customer Order Acceptance and Due Date Setting in Make-to-Order Manufacturing.

6. Aggregate Production Scheduling in Make-to-Order Manufacturing.

7. Reactive Aggregate Production Scheduling in Make-to-Order Manufacturing.

8. Scheduling of Material Supplies in Make-to-Order Manufacturing.

9. Selection of Static Supply Portfolio in Supply Chains with Risks.

10. Selection of Dynamic Supply Portfolio in Supply Chains with Risks.

Part III. Coordinating Scheduling in Supply Chains.

11. Hierarchical Integration of Medium- and Short-Term Scheduling.

12. Coordinated Scheduling in Supply Chains with a Single Supplier.

13. Coordinated Scheduling in Supply Chains with Assignment of Orders to Suppliers.

14. Coordinated Scheduling in Supply Chains without Assignment of Orders to Suppliers.

References.

Index.

Rezensionen

"Scheduling in supply chains using mixed integer
programming is a comprehensive resource for practitioners and
researchers working in supply chain planning, scheduling, and
management." (Mathematical Reviews, 2012)
"The book is well written and is addressed to practitioners and
researchers working in supply chain management and scheduling and
as well for PhD students in management science, applied
mathematics, operations research, industrial engineering and
computer science." (Zentralblatt MATH, 2012)

"A unified, systematic approach to applying mixed integer
programming solutions to integrated scheduling in customer-driven
supply chains Supply chain management is a rapidly developing
field, and the recent improvements in modeling, preprocessing,
solution algorithms, and mixed integer programming (MIP) software
have made it possible to solve large-scale MIP models of scheduling
problems, especially integrated scheduling in supply chains."
(Finwin, 8 November 2011)

Produkt-Details

• Erscheint lt. Verlag: 8.8.2011
• Zusatzinfo: Graphs: 125 B&W, 0 Color
• Sprache: englisch
• Themenwelt: Technik ► Bauwesen
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion
• Schlagworte: algorithms • Approach • APPROACHES • Betriebswirtschaft u. Operationsforschung • Business & Management • Chain • Chains • customerdriven • Industrial Engineering • Industrial Engineering / Manufacturing • Industrielle Verfahrenstechnik • Integer • largescale • Lieferkette • Management Science/Operational Research • MIP • Mixed • Models • possible • Problems • Production Operations Management • Produktion • Produktion i. d. Industriellen Verfahrenstechnik • Produktionssteuerung • programming • Software • Solutions • Supply • Systematic • Systematic presentation • Wirtschaft u. Management
• ISBN-10: 1-118-02910-0 / 1118029100
• ISBN-13: 978-1-118-02910-7 / 9781118029107