Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain
TL;DR: In this article, an integrated approach of fuzzy multi attribute utility theory and multi-objective programming is presented for rating and selecting the best green suppliers according to economic and environmental criteria and then allocating the optimum order quantities among them.
About: This article is published in Journal of Cleaner Production.The article was published on 2013-05-01. It has received 614 citations till now. The article focuses on the topics: Supplier relationship management & Supply chain.
Citations
More filters
TL;DR: A large and growing body of literature on green supplier evaluation that considers environmental factors is relatively limited as discussed by the authors, and the most common criterion considered for green supplier selection was "environmental management systems".
907 citations
TL;DR: A new Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) method for a sustainable supplier selection in the healthcare industry (in a polyclinic) in Bosnia and Herzegovina is developed and shows that A2 remains the best alternative.
511 citations
TL;DR: In this paper, the authors proposed a synergistic and integrative framework for the GHRM-GSCM relationship and to propose a research agenda for this integration, which emphasizes the implications of the integration for scholars, managers, and practitioners in organizational sustainability and truly sustainable supply chains.
452 citations
Cites background from "Integrated fuzzy multi criteria dec..."
...…or economic; e.g., Mitra; Datta, 2013; Lee et al., 2012; Green et al., 2012); (b) selection criteria for suppliers in the context of GSCM (e.g., Kannan et al., 2014, 2013; Hsu et al., 2013); and (c) the analysis of pressures and barriers to adopting GSCM (e.g., Govindan et al., 2014b;…...
[...]
TL;DR: In this article, an innovative three-phase supplier selection methodology including pre-selection, selection, and aggregation is proposed, in which concurrent screening is used for preselection, the best worst method (BWM) is introduced for selection phase, and material price and annual quantity are integrated with the decision at the aggregation phase.
439 citations
TL;DR: The outcome of this research is helpful to rank the suppliers consequently organizations can replicate the proposed framework for supplier selection for their new product range.
383 citations
References
More filters
Book•
[...]
01 Aug 1996
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Abstract: A fuzzy set is a class of objects with a continuum of grades of membership. Such a set is characterized by a membership (characteristic) function which assigns to each object a grade of membership ranging between zero and one. The notions of inclusion, union, intersection, complement, relation, convexity, etc., are extended to such sets, and various properties of these notions in the context of fuzzy sets are established. In particular, a separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
52,705 citations
Book•
01 Jan 1970TL;DR: A reverse-flow technique is described for the solution of a functional equation arising in connection with a decision process in which the termination time is defined implicitly by the condition that the process stops when the system under control enters a specified set of states in its state space.
Abstract: By decision-making in a fuzzy environment is meant a decision process in which the goals and/or the constraints, but not necessarily the system under control, are fuzzy in nature. This means that the goals and/or the constraints constitute classes of alternatives whose boundaries are not sharply defined.
An example of a fuzzy constraint is: “The cost of A should not be substantially higher than α,” where α is a specified constant. Similarly, an example of a fuzzy goal is: “x should be in the vicinity of x0,” where x0 is a constant. The italicized words are the sources of fuzziness in these examples.
Fuzzy goals and fuzzy constraints can be defined precisely as fuzzy sets in the space of alternatives. A fuzzy decision, then, may be viewed as an intersection of the given goals and constraints. A maximizing decision is defined as a point in the space of alternatives at which the membership function of a fuzzy decision attains its maximum value.
The use of these concepts is illustrated by examples involving multistage decision processes in which the system under control is either deterministic or stochastic. By using dynamic programming, the determination of a maximizing decision is reduced to the solution of a system of functional equations. A reverse-flow technique is described for the solution of a functional equation arising in connection with a decision process in which the termination time is defined implicitly by the condition that the process stops when the system under control enters a specified set of states in its state space.
6,919 citations
Book•
01 Jan 1980
6,172 citations
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.
4,760 citations