A facility location allocation model for reusing carpet materials
Computers and Industrial Engineering - Special issue on o/perational issues in environmentally conscious manufacturing
Computers and Industrial Engineering
Credibility-based fuzzy mathematical programming model for green logistics design under uncertainty
Computers and Industrial Engineering
Optimizing reverse logistic costs for recycling end-of-life electrical and electronic products
Expert Systems with Applications: An International Journal
Inventory management in a two-echelon closed-loop supply chain with correlated demands and returns
Computers and Industrial Engineering
A restricted dynamic model for refuse collection network design in reverse logistics
Computers and Industrial Engineering
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Attention with reverse logistics networks has increased during the last decade since their economic impact has been increasingly important and as environmental legislation has been becoming stricter. In this paper, A multi-period multi-echelon forward-reverse logistics network design under risk model is developed. The proposed network structure consists of three echelons in the forward direction, (suppliers, facilities and distribution centers) and two echelons, in the reverse direction (disassembly, and redistribution centers), first customer zones in which the demands are stochastic and second customer zones in which the demand is assumed to be deterministic, but it may also assumed to be stochastic. The problem is formulated in a stochastic mixed integer linear programming (SMILP) decision making form as a multi-stage stochastic program. The objective is to maximize the total expected profit.