sawik (39 Ergebnisse)

Zustand: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,500grams, ISBN:9783540649984.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: Used. pp. xiii + 207 66 Illus.

Zustand: Used. pp. xiii + 207.

hardcover. Zustand: Very Good. Cover and edges may have some wear.

Zustand: New. In.

Paperback. Zustand: Brand New. 207 pages. 9.50x6.50x0.75 inches. In Stock.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: New. In.

Zustand: New. In.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Supply Chain Disruption Management Using Stochastic Mixed Integer Programming | Tadeusz Sawik | Taschenbuch | xxx | Englisch | 2018 | Springer | EAN 9783319864839 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Production Planning and Scheduling in Flexible Assembly Systems | Tadeusz Sawik | Taschenbuch | xiii | Englisch | 1998 | Springer | EAN 9783540649984 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book familiarizes the reader with the flexible assembly systems planning and scheduling issues and various operations research modelling and solution approaches. Some of the many topic highlights presented are the overall structure and components of a flexible assembly system, bi-objective integer programming models and algorithms for machine loading, assembly routing, and assembly plan selection, and fast combinatorial heuristics for scheduling flexible assembly lines with limited intermediate buffers. Also the book deals with just-in-time scheduling of flexible assembly lines, and dynamic dispatching algorithms for simultaneous scheduling of assembly stations and automated guided vehicles.

Zustand: New. In.

Taschenbuch. Zustand: 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 risk-neutral, risk-averse and mean-risk decision-making in the presence of supply chain disruption risks. The book focuses on innovative, computationally efficient portfolio approaches 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 real-world supply chain disruption management problems, illustrate the material presented and provide managerial insights. 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 five 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 scheduling; and Part V addresses disruption management of information flows in supply chains.

Gebunden. Zustand: New.

Zustand: New. pp. xxxv + 455 Illus.

Taschenbuch. Zustand: Neu. Production Planning and Scheduling in Flexible Assembly Systems | Tadeusz Sawik | Taschenbuch | xiii | Englisch | 2012 | Springer Vieweg | EAN 9783642636660 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Supply Chain Disruption Management | Using Stochastic Mixed Integer Programming | Tadeusz Sawik | Taschenbuch | xxxiii | Englisch | 2021 | Springer | EAN 9783030448165 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book familiarizes the reader with the flexible assembly systems planning and scheduling issues and various operations research modelling and solution approaches. Some of the many topic highlights presented are the overall structure and components of a flexible assembly system, bi-objective integer programming models and algorithms for machine loading, assembly routing, and assembly plan selection, and fast combinatorial heuristics for scheduling flexible assembly lines with limited intermediate buffers. Also the book deals with just-in-time scheduling of flexible assembly lines, and dynamic dispatching algorithms for simultaneous scheduling of assembly stations and automated guided vehicles.

Zustand: 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.

Hardcover. Zustand: Brand New. 1st edition. 492 pages. 9.37x6.14x1.18 inches. In Stock.

Buch. Zustand: 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.

Taschenbuch. Zustand: Neu. Stochastic Programming in Supply Chain Risk Management | Resilience, Viability, and Cybersecurity | Tadeusz Sawik | Taschenbuch | xxix | Englisch | 2025 | Springer | EAN 9783031579295 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: 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.

Zustand: 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. . . . . Books ship from the US and Ireland.

Zustand: Sehr gut. Auflage: 1st ed. 2018. 379 Seiten Mit leichten altersbedingten Lager- und Gebrauchsspuren. U-25 Sprache: Englisch Gewicht in Gramm: 771 15,6 x 2,2 x 23,4 cm, Gebundene Ausgabe.

Paperback. Zustand: Brand New. 2nd edition. 500 pages. 9.25x6.10x1.01 inches. In Stock.