On the optimization of supply chain networking decisions

DOI10.1016/S0377-2217(00)00223-XzbMath0980.90017OpenAlexW2021021798MaRDI QIDQ1840845

Alain Martel, Muhittin Oral, Ossama Kettani, Salem Y. Lakhal

Publication date: 20 February 2001

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0377-2217(00)00223-x

zbMATH Keywords

mixed integer programmingtheory of the firmnetworkingsupply chain strategyextende enterprise

Mathematics Subject Classification ID

Mixed integer programming (90C11) Deterministic network models in operations research (90B10)

Related Items (14)

A review of coordination studies in the context of supply chain dynamics ⋮ A possibilistic decision model for new product supply chain design ⋮ An integrated approach for sustainable supply chain planning ⋮ A heuristic algorithm for master planning that satisfies multiple objectives ⋮ A fuzzy linear programming model for the optimization of multi-stage supply chain networks with triangular and trapezoidal membership functions ⋮ A HEURISTIC APPROACH FOR SOLVING SERIALLY DISTRIBUTED STORAGE DEPOTS UNDER GENERAL-INTEGER POLICY ⋮ Possibilistic linear-programming approach for supply chain networking decisions ⋮ An operational profit sharing and transfer pricing model for network-manufacturing companies ⋮ Fuzzy scheduling of a build-to-order supply chain ⋮ A manufacturing network design model based on processor and worker capabilities ⋮ A heuristic relief transportation planning algorithm for emergency supply chain management ⋮ A modified multi-criterion optimization genetic algorithm for order distribution in collaborative supply chain ⋮ Modelling inter-supply chain competition with resource limitation and demand disruption ⋮ A heuristic methodology for order distribution in a demand driven collaborative supply chain

Cites Work

• Network companies and competitiveness: A framework for analysis
• On the connections among activity-based costing, mathematical programming models for analyzing strategic decisions, and the resource-based view of the firm
• A Linearization Procedure for Quadratic and Cubic Mixed-Integer Problems

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