Supply Chain Optimisation Product/Process Design, Facility Location and Flow Control /

This volume is a collection of recent key results in supply chain optimisation. It presents new approaches and methods based on operations research, artificial intelligence and computer sciences techniques for design of production systems, supply and inventory management, production planning and sch...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Dolgui, Alexandre (Επιμελητής έκδοσης), Soldek, Jerzy (Επιμελητής έκδοσης), Zaikin, Oleg (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2005.
Σειρά:Applied Optimization, 94
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Modelling Techniques
  • An Initiative for International Consensus on Enterprise Inter- and Intra-Organisational Integration
  • Towards Knowledge Logistics in Agile SME Networks
  • A Modelling Framework for Human Resource-Based Business Processes
  • Managing Service-Sensitive Demand Through Simulation
  • Robust Modeling of Consumer Behaviour
  • Sizing, Cycle Time and Plant Control Using Dioid Algebra
  • Concurrent Processes Flow Prototyping
  • Modelling of the Supply Chain for a Distributed Publishing Enterprise
  • Optimisation Methods
  • Hybrid Methods for Line Balancing Problems
  • Stability of Optimal Line Balance with Given Station Set
  • Simple Plant Location Problem with Reverse Flows
  • Concave Cost Supply Management for Single Manufacturing Unit
  • Product Family and Supply Chain Design
  • Sales and Operations Planning Optimisation
  • Response Surface-Based Simulation Metamodelling Methods
  • Decision Aid Tools
  • A Modeling and Simulation Framework for Supply Chain Design
  • Internet Web-Based Integration of Process and Manufacturing Resources Planning
  • Visual Representation of Material Flows in Chemical Plant Systems
  • Identification-Based Condition Monitoring of Technical Systems
  • Simulation of Distributed Industrial Systems.