Interdependence in fuzzy multiple objective programming
Fuzzy Sets and Systems
Multiple criteria decision making: the case for interdependence
Computers and Operations Research
Fuzzy multiple criteria decision making: recent developments
Fuzzy Sets and Systems - Special issue on fuzzy multiple criteria decision making
Selection of vendors—a mixed-integer programming approach
CIE '96 Proceedings of the 19th international conference on Computers and industrial engineering
An optimization model for concurrent selection of tolerances and suppliers
Computers and Industrial Engineering
Fuzzy Reasoning in Decision Making and Optimization
Fuzzy Reasoning in Decision Making and Optimization
Genetic algorithm solution for a risk-based partner selection problem in a virtual enterprise
Computers and Operations Research
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Strategic alliances are widely used in business to obtain the synergy effect and competitive advantage. On the basis of the resource-based view, it can be seen that the valuable resources of firms provide the motivation for entering into strategic alliances. Therefore, the issue of partner selection plays a critical role in the performance of strategic alliances. Although many mathematical programming models have been proposed to deal with the partner selection problems, two main issues such as objective synergies and resource allocations are seems to be ignored. In this paper, a new multiobjective programming model is proposed to determine the optimal partners in the alliance and the corresponding resource allocations. Furthermore, a numerical example is used to demonstrate the proposed method and compared with the conventional method. From the results, it can be concluded that objective synergies and resource allocations play a significant role in the problem of partner selection and should not be ignored in the realistic alliance's problems.