Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/124432
Title: Multi objective design and optimization of a closed loop supply chain network and assessment of collection methods product recovery methods and network configurations
Researcher: Jindal, Anil
Guide(s): Sangwan, Kuldip Singh
Keywords: Collection Methods,Network Configurations,Product Recovery Methods
University: Birla Institute of Technology and Science
Completed Date: 1/8/2015
Abstract: Closed-loop supply chain (CLSC) has gained increasing attention among supply chain management researchers and practitioners because of growing concerns towards green manufacturing and sustainable development. CLSC entails combine forward supply chain and reverse supply chain activities into a single system, with the potential to raise the environmental performance and to create new profit opportunities. The effectiveness of CLSC depends on the network design and optimization of the underlying supply chain. Moreover, it is complicated by uncertainty in its underlying variables viz. quantity, quality and time of product return. newlineDealing with uncertainty in CLSC network design has vital importance for the firms. Literature in provides different CLSC models considering different set of product recovery options, different set of cost, different set of binary variables and different set of uncertain parameters. Therefore, there is a need to design and optimize a generalized closed-loop supply chain model that considers the different costs, different product recovery options, and uncertain parameters, to make the design more pragmatic. newlineSo, the purpose of thesis is to design and optimize a multi-product, multi-time, multi-echelon capacitated closed-loop supply chain network in an uncertain environment. A fuzzy mixed-integer linear programming model is developed to maximize the profit of organization. newlineWith the increasing concern for environmental degradation, the single objective CLSC is not sufficient; therefore, a multi-objective CLSC model is proposed in this thesis that considers the both maximization of profit and minimization of environmental impact. The and#1013;-constraint method is used to solve the multi-objective CLSC model. newlinevi newlineOther than network design and optimization, effective CSLC implementation needs strategic decision-making regarding selection of collection methods, selection of product recovery process, and selection of network configuration. Therefore, this thesis also aims at developing integrated fuzzy multi
Pagination: xvii
URI: http://hdl.handle.net/10603/124432
Appears in Departments:Mechanical Engineering

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