Journal ArticleDOI
A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment
TLDR
The fuzzy model provides the decision maker (DM) with alternative decision plans with different degrees of satisfaction to centralize multi-node decisions simultaneously to achieve the best use of the available resources along the time horizon so that customer demands are met at a minimum cost.About:
This article is published in European Journal of Operational Research.The article was published on 2010-08-16. It has received 177 citations till now. The article focuses on the topics: Supply chain network & Supply chain.read more
Citations
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Journal ArticleDOI
A possibilistic programming approach for closed-loop supply chain network design under uncertainty
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.
Journal ArticleDOI
An accelerated Benders decomposition algorithm for sustainable supply chain network design under uncertainty: A case study of medical needle and syringe supply chain
TL;DR: In this article, a multi-objective possibilistic programming model is proposed to design a sustainable medical supply chain network under uncertainty considering conflicting economic, environmental and social objectives.
Journal ArticleDOI
Impact of carbon emissions in a sustainable supply chain management for a second generation biofuel
Waqas Ahmed,Biswajit Sarkar +1 more
TL;DR: In this paper, the authors developed a supply chain model that minimizes the total cost of a second generation biofuel supply chain and location-allocation for agricultural zones and biorefineries to meet the uncertain demand for market centers.
Journal ArticleDOI
Bi-objective optimization approach to the design and planning of supply chains: Economic versus environmental performances
TL;DR: This paper addresses the planning and design of supply chain structures for annual profit maximization, while considering environmental aspects, using the Eco-indicator methodology.
Journal ArticleDOI
Tactical supply chain planning models with inherent flexibility: definition and review
Masoud Esmaeilikia,Behnam Fahimnia,Joeseph Sarkis,M.E. Kannan Govindan,Arun Kumar,John P.T. Mo +5 more
TL;DR: This paper defines tactical SC flexibility and identifies tactical flexibility measures and options for development of flexible SC planning models to identify research gaps in the current literature and provide insights for future modeling and research efforts in the field.
References
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Book
Fuzzy sets
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
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Fuzzy sets as a basis for a theory of possibility
TL;DR: The theory of possibility described in this paper is related to the theory of fuzzy sets by defining the concept of a possibility distribution as a fuzzy restriction which acts as an elastic constraint on the values that may be assigned to a variable.
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How to make a decision: The analytic hierarchy process
TL;DR: The Analytic Hierarchy Process (AHP) as discussed by the authors is a multicriteria decision-making approach in which factors are arranged in a hierarchic structure, and the principles and philosophy of the theory are summarized giving general background information of the type of measurement utilized, its properties and applications.
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How to Make a Decision: The Analytic Hierarchy Process
TL;DR: The analytic hierarchy process (AHP) includes both the rating and comparison methods and requires developing a reliable hierarchic structure or feedback network that includes criteria of various types of influence, stakeholders, and decision alternatives to determine the best choice.
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Fuzzy programming and linear programming with several objective functions
TL;DR: It is shown that solutions obtained by fuzzy linear programming are always efficient solutions and the consequences of using different ways of combining individual objective functions in order to determine an “optimal” compromise solution are shown.