Journal ArticleDOI
Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty
Reads0
Chats0
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.About:
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.read more
Citations
More filters
Journal ArticleDOI
Supply chain network design under uncertainty: A comprehensive review and future research directions
TL;DR: A comprehensive review of studies in the fields of SCND and reverse logistics network design under uncertainty and existing optimization techniques for dealing with uncertainty such as recourse-based stochastic programming, risk-averse stochastics, robust optimization, and fuzzy mathematical programming are explored.
Journal ArticleDOI
A literature review and perspectives in reverse logistics
TL;DR: In this paper, the authors present a literature review on reverse logistics (RL) and outline the future directions for research based on research gap analysis, which may be useful for academicians, researchers and practitioners for better understanding of RL and guidance for future research.
Journal ArticleDOI
Towards supply chain sustainability: economic, environmental and social design and planning
TL;DR: In this article, a generic multi-objective mathematical programming model for the design and planning of supply chains, integrating the three dimensions of sustainability is presented, and a social indicator appropriate to assess strategic decisions is proposed.
Journal ArticleDOI
Opportunities and challenges in sustainable supply chain: An operations research perspective
TL;DR: It was verified that sustainability has been mainly tackled by assessing economic and environmental aspects, leaving behind the social aspects, and it was found that optimization models applied to strategic level decisions are the most preponderant studies.
Journal ArticleDOI
Smart supply chain management: a review and implications for future research
TL;DR: The paper provides original and relevant guidance for supply chain management researchers and practitioners on developing smart supply chains with unprecedented opportunities for achieving cost reduction and enhancing efficiency improvement.
References
More filters
Journal ArticleDOI
Reverse Channel Design: The Case of Competing Retailers
TL;DR: This paper examines how the allocation of product collection to retailers impacts their strategic behavior in the product market, and discusses the economic trade-offs the manufacturer faces while choosing an optimal reverse channel structure.
Journal ArticleDOI
The Design of Robust Value-Creating Supply Chain Networks: A Critical Review †
TL;DR: This paper argues for the assessment of SCN robustness as a necessary condition to ensure sustainable value creation and contributes to framing the foundations for a robust SCN design methodology.
Journal ArticleDOI
A robust optimization approach to closed-loop supply chain network design under uncertainty
TL;DR: In this article, a robust optimization model for handling the inherent uncertainty of input data in a closed-loop supply chain network design problem is proposed, and the robust counterpart of the proposed mixed-integer linear programming model is presented by using the recent extensions in robust optimization theory.
Journal ArticleDOI
Integrated production/distribution planning in supply chains: An invited review
TL;DR: Simpson and Vakharia as discussed by the authors proposed a method to identify the most important parts of the human brain in order to determine whether a person's brain is composed of neurons or not.
Journal ArticleDOI
A closed-loop logistics model for remanufacturing
TL;DR: A 0–1 mixed integer programming model is presented that simultaneously solves for the location of remanufacturing/distribution facilities, the transshipment, production, and stocking of the optimal quantities of re manufactured products and cores.