Supply chain management and its applications in computer science

Supply chain management and its applications in computer science

Detalles Bibliográficos
Otros Autores: Krichen, Saoussen, author (author), Ben Jouida, Sihem, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: London, England ; Hoboken, New Jersey : iSTE 2016.
Edición:1st ed
Colección:Focus series in information systems, web and pervasive computing.
THEi Wiley ebooks.
Materias:
Business logistics.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009849072806719
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright
  • Contents
  • List of Figures
  • List of Tables
  • Glossary
  • Introduction
  • Chapter 1: Preliminaries in Decision-Making
  • 1.1. Introduction
  • 1.2. Decision-making problems
  • 1.3. Optimization modeling of a decision problem
  • 1.3.1. Notation
  • 1.3.2. Features of an optimization problem
  • 1.3.3. A didactic example
  • 1.4. Game theory modeling of a decision problem
  • 1.4.1. Notation
  • 1.4.2. The coalition formation problem
  • 1.4.3. The stability concepts
  • 1.5. Allocation methods
  • 1.5.1. Shapley value allocation
  • 1.6. Conclusion
  • Chapter 2: Introduction to Supply Chain Management
  • 2.1. Introduction
  • 2.2. Main elements of the supply chain
  • 2.3. Main activities in the supply chain
  • 2.3.1. The ordering problem
  • 2.3.2. The warehousing problem
  • 2.3.3. The transportation problem
  • 2.3.4. The inventory problem
  • 2.3.5. Computer science applications in supply chain management
  • 2.4. Decision levels in the supply chain
  • 2.4.1. Strategic level
  • 2.4.2. Tactical level
  • 2.4.3. Operational level
  • 2.5. Conclusion
  • Chapter 3: The Ordering Problem
  • 3.1. Introduction
  • 3.2. Terminology
  • 3.3. The one supplier-one retailer ordering problem
  • 3.3.1. An example of the one-one ordering problem
  • 3.3.2. Summary
  • 3.4. The one supplier-multiple retailers ordering problem
  • 3.4.1. Fixed purchasing price
  • 3.4.2. An example of the 1 − n ordering problem
  • 3.4.3. Quantity-dependent purchasing price
  • 3.5. The multiple suppliers-one retailer ordering problem
  • 3.6. The multiple suppliers-multiple retailers ordering problem
  • 3.7. Conclusion
  • Chapter 4: The Warehousing Problem
  • 4.1. Introduction
  • 4.2. Problem description
  • 4.2.1. Terminology
  • 4.2.2. Inputs/outputs of the WP
  • 4.2.3. WP variants
  • 4.3. WP with variable cost/without conflicts
  • 4.3.1. Mathematical formulation.
  • 4.3.2. An example
  • 4.4. WP with fixed cost/without conflicts
  • 4.4.1. Mathematical formulation
  • 4.4.2. An example
  • 4.5. WP with variable cost/with conflicts
  • 4.5.1. Mathematical formulation
  • 4.5.2. An example
  • 4.6. WP with fixed cost/with conflicts
  • 4.6.1. Mathematical formulation
  • 4.6.2. An example
  • 4.7. A DSS design for the warehousing problem
  • 4.8. Example
  • 4.9. Answer
  • 4.10. Conclusion
  • Chapter 5: Inventory Management
  • 5.1. Introduction
  • 5.2. Definition of inventory management
  • 5.3. Purposes of inventory
  • 5.4. Inventory modeling
  • 5.4.1. Terminology
  • 5.4.2. Economic order quantity model
  • 5.4.3. Examples
  • 5.5. Conclusion
  • Chapter 6: The Delivery in the Supply Chain
  • 6.1. Introduction
  • 6.2. The delivery process in the SC
  • 6.3. Problem description
  • 6.3.1. Terminology
  • 6.3.2. Inputs/outputs of the delivery
  • 6.3.3. Delivery variants
  • 6.4. First variant: delivery with capacitated trucks
  • 6.4.1. CVRP specification
  • 6.4.2. Mathematical formulation of the CVRP
  • 6.5. Second variant: delivery with time windows
  • 6.5.1. VRPTW specification
  • 6.5.2. Mathematical formulation of the VRPTW
  • 6.6. A real case study: the case of Tunisia
  • 6.7. Alternative resolution approaches for the delivery problem
  • 6.7.1. A tabu search approach for solving the delivery problem
  • 6.7.2. A genetic algorithm for solving the delivery problem
  • 6.8. A DSS design for the delivery problem
  • 6.9. Conclusion
  • Bibliography
  • Index.

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