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Journal ArticleDOI

Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty

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TLDR
A mixed integer linear programming (MILP) formulation is developed for the design and planning of supply chains with reverse flows while considering simultaneously production, distribution and reverse logistics activities and its applicability is demonstrated.
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This article is published in European Journal of Operational Research.The article was published on 2013-05-01. It has received 224 citations till now. The article focuses on the topics: Reverse logistics & Supply chain management.

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Citations
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Sustainable supply chains: An integrated modeling approach under uncertainty

TL;DR: ToBLoOM as discussed by the authors is a decision support tool for the design and planning of sustainable supply chains, which consists of a multi-objective mixed integer linear programming model which integrates several interconnected decisions: facility location and capacity determination; supplier selection and purchase levels definition; technology selection and allocation; transportation network definition including both unimodal and intermodal options; supply planning; product recovery and remanufacturing.
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Multi period disassembly-to-order of end of life product based on scheduling to maximize the profit in reverse logistic operation

TL;DR: In this paper, a methodology for the reverse logistic operation of E-O-L items, in view of an optimal scheduling algorithm, is presented, where the proposed framework drives the preferred performance over the existing scheduling algorithms.
Journal ArticleDOI

A robust fuzzy mathematical programming model for the closed-loop supply chain network design and a whale optimization solution algorithm

TL;DR: Efforts have been made to propose a facility location/allocation model for a multi-echelon multi-product multi-period CLSC network under shortage, uncertainty, and discount on the purchase of raw materials.
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A facility location model for global closed-loop supply chain network design

TL;DR: A mathematical model is proposed for a closed-loop supply chain network by considering global factors, including exchange rates and customs duties, and a solution approach based on fuzzy programming is developed for solving the optimization problem.
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A novel multi-objective model for green forward and reverse logistics network design

TL;DR: A mixed integer linear programming model is applied to a multi-stage, multi-product, and multi-objective problem whereby the first objective is to minimize the cost of operations, processes, transportation, and fixed costs of the establishment.
References
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Journal ArticleDOI

From a literature review to a conceptual framework for sustainable supply chain management

TL;DR: In this paper, the authors present a literature review on sustainable supply chain management taking 191 papers published from 1994 to 2007 into account, and a conceptual framework to summarize the research in this field comprising three parts.
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Green supply‐chain management: A state‐of‐the‐art literature review

TL;DR: An integrated and fresh look into the area of GrSCM is taken, using the rich body of available literature, including earlier reviews that had relatively limited perspectives, on the basis of the problem context in supply chain's major influential areas.
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Quantitative models for reverse logistics: A review

TL;DR: This article subdivides the recently emerged field of reverse logistics into three main areas, namely distribution planning, inventory control, and production planning, and discusses the implications of the emerging reuse efforts.
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Facility location and supply chain management - A review

TL;DR: Basic features that facility location models must capture to support decision-making involved in strategic supply chain planning are identified and applications ranging across various industries are presented.
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Supply chain design and analysis:: Models and methods

TL;DR: In this article, the authors provide a focused review of literature in multi-stage supply chain modeling and define a research agenda for future research in this area, which is largely a result of the rising costs of manufacturing, the shrinking resources of manufacturing bases, shortened product life cycles, the leveling of the playing field within manufacturing, and the globalization of market economies.
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