Author
Mir Saman Pishvaee
Other affiliations: University of Tehran, Amirkabir University of Technology
Bio: Mir Saman Pishvaee is an academic researcher from Iran University of Science and Technology. The author has contributed to research in topics: Supply chain & Supply chain network. The author has an hindex of 35, co-authored 181 publications receiving 5614 citations. Previous affiliations of Mir Saman Pishvaee include University of Tehran & Amirkabir University of Technology.
Papers
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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.
571 citations
TL;DR: A bi-objective possibilistic mixed integer programming model to deal with closed-loop supply chain network design problems and an interactive fuzzy solution approach is developed by combining a number of efficient solution approaches from the recent literature.
450 citations
TL;DR: This paper proposes a model for integrated logistics network design to avoid the sub-optimality caused by a separate, sequential design of forward and reverse logistics networks, and develops a bi-objective mixed integer programming formulation to minimize the total costs and maximize the responsiveness of a logistics network.
429 citations
TL;DR: This paper addresses the problem of socially responsible supply chain network design under uncertain conditions by developing a bi-objective mathematical programming model, called robust possibilistic programming (RPP), and several varieties of RPP models are developed.
396 citations
TL;DR: A multi-objective fuzzy mathematical programming model is proposed for designing an environmental supply chain under inherent uncertainty of input data in such problem and is able to consider the minimization of multiple environmental impacts beside the traditional cost minimization objective.
347 citations
Cited by
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TL;DR: The aim of this paper is to review recently published papers in reverse logistic and closed-loop supply chain in scientific journals and identify gaps in the literature to clarify and to suggest future research opportunities.
1,364 citations
TL;DR: In this article, the authors classify the literature on the application of big data business analytics (BDBA) on logistics and supply chain management (LSCM) based on the nature of analytics (descriptive, predictive, prescriptive) and the focus of the LSCM (strategy and operations).
938 citations
TL;DR: The evolution of ECMPRO that has taken place in the last decade is discussed and the new areas that have come into focus during this time are discussed.
911 citations
Book•
01 Aug 1996
TL;DR: Fuzzy sets as mentioned in this paper are a class of classes in which there may be grades of membership intermediate between full membership and non-membership, i.e., a fuzzy set is characterized by a membership function which assigns to each object its grade of membership.
Abstract: The notion of fuzziness as defined in this paper relates to situations in which the source of imprecision is not a random variable or a stochastic process, but rather a class or classes which do not possess sharply defined boundaries, e.g., the “class of bald men,” or the “class of numbers which are much greater than 10,” or the “class of adaptive systems,” etc. A basic concept which makes it possible to treat fuzziness in a quantitative manner is that of a fuzzy set, that is, a class in which there may be grades of membership intermediate between full membership and non-membership. Thus, a fuzzy set is characterized by a membership function which assigns to each object its grade of membership (a number lying between 0 and 1) in the fuzzy set. After a review of some of the relevant properties of fuzzy sets, the notions of a fuzzy system and a fuzzy class of systems are introduced and briefly analyzed. The paper closes with a section dealing with optimization under fuzzy constraints in which an approach to...
885 citations