Supply Chain Disruption Management - Couverture rigide
Livre 281 sur 323: International Series in Operations Research & Management Science
Synopsis
Presents practical applications of stochastic mixed integer programming for integrated decision-making in supply chain disruption management
Uses computational examples for commercially available software
Has end-of-chapter problems, examples and managerial insights in all chapters
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l'auteur
Tadeusz Sawik is a Professor of Industrial Engineering and Operations Research at AGH University of Science and Technology in Kraków, Poland and at Reykjavik University in Reykjavik, Iceland. He has published numerous books (including Production Planning and Scheduling in Flexible Assembly Systems, Springer, 1998 and Scheduling in Supply Chains Using Mixed Integer Programming, Wiley, 2011), and more than 150 individual articles in refereed journals. His current research interests are in the area of logistics and supply chain management, operations management, supply chain risk management, homeland and cyber security, scheduling, stochastic optimization and integer programming. He is the founding Editor-in-Chief of Decision Making in Manufacturing and Services (AGH University Press).
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Supply Chain Disruption Management (eng)
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Supply Chain Disruption Management (International Series in Operations Research & Management Science, 291)
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Supply Chain Disruption Management
Edité par
Springer International Publishing Mai 2020, 2020
ISBN 10 : 3030448134
ISBN 13 : 9783030448134
Neuf
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on management of disrupted flows in customer-driven supply chains. The problems are modeled using a scenario based stochastic mixed integer programming to address riskneutral, risk-averse and mean-risk decision-making in the presence of supply chain disruption risks. The book focuses on integrated disruption mitigation and recovery decision-making and innovative, computationally efficient multi-portfolio approach to supply chain disruption management, e.g., selection of primary and recovery supply portfolios, demand portfolios, capacity portfolios, etc. Numerous computational examples throughout the book, modeled in part on realworld supply chain disruption management problems, illustrate the material presented and provide managerial insights. Many propositions formulated in the book lead to a deep understanding of the properties of developed stochastic mixed integer programs and optimal solutions. In the computational examples, the proposed mathematical programming models are solved using an advanced algebraic modeling language such as AMPL and CPLEX, GUROBI and XPRESS solvers. The knowledge and tools provided in the book allow the reader to model and solve supply chain disruption management problems using commercially available software for mixed integer programming. Using the end-of chapter problems and exercises, the monograph can also be used as a textbook for an advanced course in supply chain risk management. After an introductory chapter, the book is then divided into six main parts. Part I addresses selection of a supply portfolio; Part II considers integrated selection of supply portfolio and scheduling; Part III looks at integrated, equitably efficient selection of supply portfolio and scheduling; Part IV examines integrated selection of primary and recovery supply and demand portfolios and production and inventory scheduling, Part V deals with selection of resilient supply portfolio in multitier supply chain networks; and Part VI addresses selection of cybersecurity safequards portfolio for disruption management of information flows in supply chains. 504 pp. Englisch. N° de réf. du vendeur 9783030448134
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Supply Chain Disruption Management
Edité par
Springer International Publishing, 2020
ISBN 10 : 3030448134
ISBN 13 : 9783030448134
Neuf
Couverture rigide
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Supply Chain Disruption Management : Using Stochastic Mixed Integer Programming
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Supply Chain Disruption Management : Using Stochastic Mixed Integer Programming
Edité par
Springer, 2020
ISBN 10 : 3030448134
ISBN 13 : 9783030448134
Ancien ou d'occasion
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Supply Chain Disruption Management : Usi
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Supply Chain Disruption Management: Using Stochastic Mixed Integer Programming (International Series in Operations Research & Management Science)
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Supply Chain Disruption Management
Edité par
Springer, Palgrave Macmillan Mai 2020, 2020
ISBN 10 : 3030448134
ISBN 13 : 9783030448134
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Presents practical applications of stochastic mixed integer programming for integrated decision-making in supply chain disruption managementUses computational examples for commercially available softwareHas end-of-chapter problems, examples and managerial insights in all chaptersSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 504 pp. Englisch. N° de réf. du vendeur 9783030448134
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Supply Chain Disruption Management : Using Stochastic Mixed Integer Programming
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on management of disrupted flows in customer-driven supply chains. The problems are modeled using a scenario based stochastic mixed integer programming to address riskneutral, risk-averse and mean-risk decision-making in the presence of supply chain disruption risks. The book focuses on integrated disruption mitigation and recovery decision-making and innovative, computationally efficient multi-portfolio approach to supply chain disruption management, e.g., selection of primary and recovery supply portfolios, demand portfolios, capacity portfolios, etc. Numerous computational examples throughout the book, modeled in part on realworld supply chain disruption management problems, illustrate the material presented and provide managerial insights. Many propositions formulated in the book lead to a deep understanding of the properties of developed stochastic mixed integer programs and optimal solutions. In the computational examples, the proposed mathematical programming models are solved using an advanced algebraic modeling language such as AMPL and CPLEX, GUROBI and XPRESS solvers. The knowledge and tools provided in the book allow the reader to model and solve supply chain disruption management problems using commercially available software for mixed integer programming. Using the end-of chapter problems and exercises, the monograph can also be used as a textbook for an advanced course in supply chain risk management. After an introductory chapter, the book is then divided into six main parts. Part I addresses selection of a supply portfolio; Part II considers integrated selection of supply portfolio and scheduling; Part III looks at integrated, equitably efficient selection of supply portfolio and scheduling; Part IV examines integrated selection of primary and recovery supply and demand portfolios and production and inventory scheduling, Part V deals with selection of resilient supply portfolio in multitier supply chain networks; and Part VI addresses selection of cybersecurity safequards portfolio for disruption management of information flows in supply chains. N° de réf. du vendeur 9783030448134
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