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:
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(R) 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.
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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.
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Etat : New. Featuring a unified and systematic presentation, this book provides state-of-the-art mixed integer programming (MIP) modeling and solution approaches, equipping readers with the knowledge and tools to model and solve real-world supply chain scheduling problems in make-to-order manufacturing. Num Pages: 492 pages, Illustrations. BIC Classification: KJMV5. Category: (P) Professional & Vocational. Dimension: 234 x 163 x 32. Weight in Grams: 858. . 2011. 1st Edition. Hardcover. . . . . N° de réf. du vendeur V9780470935736
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Etat : New. 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. N° de réf. du vendeur 446914097
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