Emad Roghanian

TL;DR: A probabilistic bi-level linear multi-objective programming problem and its application in enterprise-wide supply chain planning problem where (1) market demand, (2) production capacity of each plant and (3) resource available to all plants for each product are random variables and the constraints may consist of joint probability distributions or not.

TL;DR: In this paper, a probabilistic mixed integer linear programming model for the design of a reverse logistic network is proposed, which is first converted into an equivalent deterministic model. And then, a priority based genetic algorithm is proposed to find reverse logistics network to satisfy the demand imposed by manufacturing centers and recycling centers with minimum total cost under uncertainty condition.

TL;DR: In this article, the authors proposed two approaches for aggregating values including relative importance of evaluation criteria with respect to the overall objective and rating of alternatives in fuzzy group TOPSIS: (1) First aggregation, (2) Last aggregation.

TL;DR: In this paper, an integrated QFDE, fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) and Fuzzy Analytic Network Process (FANP) is proposed for sustainable product design to help companies identify the best design criteria for a specific product.

TL;DR: This paper presents a Multi-Objective Imperialist Competitive Algorithm (MOICA) to solve the Discrete Time–Cost–Quality Trade-off Problem and explains the elements of the algorithm and solves some problems generated for this model – including large size and small size instances – by this algorithm.