Reverse Logistics Optimization Based on Parallel Genetic Algorithm

This paper is concerned with the efficient design of a reverse logistics network. The mixed integer linear models is formulated and determine how to optimize collection cost, transportation cost, fixed cost, variable cost, disposal cost, the sale revenue of reclaimed materials and revenue of selling...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Sibo Ding
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Analytical models Indexes Materials network design parallel genetic algorithm queue theory Queueing analysis Reverse logistics Transportation
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