To achieve the goals of sustainable economic and environmental protection, more and more firms intend to implement green supply chain (GSC) initiatives in their products. The adoption of GSC initiatives in turn influences the firms’ operations performance. Thus, the firms have to evaluate their performances carefully when implementing GSC initiatives. The performance evaluation of GSC initiativ...

In multicriteria optimization, a compromise solution is a feasible solution whose cost vector minimizes the distance to the ideal point w.r.t. a given norm. The coordinates of the ideal point are given by the optimal values for the single optimization problem for each criterion. We show that the concept of compromise solutions fits nicely into the existing notion of Pareto optimality: For a hug...

This study deals with the selection of a sustainable supplier on example agribusiness company Mamex from Bosnia and Herzegovina. The main problem this research is as part strategy company. One prerequisites that suppliers must present sustainability principles in business by having an appropriate certificate. results are completed using new hybrid fuzzy approach methods IMF SWARA (Improved Fuzz...

The linear multiobjective transportation problem is a special type of vector minimum problem in which constraints are all equality type and the objectives are conicting in nature. This paper presents an application of fuzzy goal programming to the linear multiobjective transportation problem. In this paper, we use a special type of nonlinear (hyperbolic and exponential) membership functions to ...

The paradigm of multi-criteria decision making considers not only many attributes in the decision-making process but also the optimization of a number of objectives to accomplish certain targets. A multi-objective programming problem is a problem involving the simultaneous optimization of various, often conflicting, objective functions under certain given constraints to find compromise solution...

The Multi-objective transportation problem (MOTSP) is a of linear type optimization problem which contains all equality type constraints and the multi variable objectives. Here we have presented an application of Evolutionary Algorithms to the multi-objective transportation problem (MOTSP). We consider the multi-objective transportation problem as linear optimization problem and use a special t...

An interactive multiobjective fuzzy inventory problem with two resource constraints is presented in this paper. The cost parameters and index parameters, the storage space, the budgetary cost, and the objective and constraint goals are imprecise in nature. These parameters and objective goals are quantified by linear/nonlinear membership functions. A compromise solution is obtained by geometric...

Choosing the right supplier has a significant impact on efficiency and productivity of supply chain (SC). Different selection models approaches have been developed for reverse SCs. The lean, agile, resilient, green (LARG) strategy is an innovative paradigm competitiveness sustainability. This study proposes fuzzy-based methodology that integrates fuzzy group best-worst method (FG-BWM) combined ...