Nowadays, increasing the efficiency of the production process and determining the methods of measuring performance is the most significant challenge faced by managers by increasing competition among companies and manufacturing centers. The present study aimed to evaluate the performance of production scenarios. In this regard, the production processes of an automotive industrial plant were simulated by the simulation approach. Then, an integrated approach to optimization methods was applied to optimize the simulation model and reach the efficient production scenario. First, the scenarios were defined using the 2^k factorial design. Then, the weight of the response variables and decision variables were determined by the fuzzy step-wise weight assessment ratio analysis method. Further, the efficiency of scenarios was calculated by the fuzzy ratio efficiency dominance model, and the optimal scenario was obtained. This approach was implemented in an automobile manufacturing industry in Iran, and the accurate analysis was applied to the proposed approach. The results indicated that, compared to previous studies, the proposed approach is a practical way for determining the optimal scenario in a complex production system, and can help the managers to make efficient decisions to increase profit and productivity.

如今，提高生产过程的效率和确定绩效衡量方法已成为管理人员通过增加公司和制造中心之间的竞争而面临的最重大挑战。本研究旨在评估生产方案的性能。在这方面，通过模拟方法模拟了汽车工业工厂的生产过程。然后，采用一种综合方法来优化方法，以优化仿真模型并达到高效的生产方案。首先，使用2 ^k析因设计。然后，通过模糊逐步权重评估比分析方法确定响应变量和决策变量的权重。进一步，利用模糊比率效率优势模型计算了情景的效率，并获得了最优情景。该方法已在伊朗的汽车制造业中实施，并且对建议的方法进行了准确的分析。结果表明，与以前的研究相比，该方法是一种确定复杂生产系统中最佳方案的实用方法，并且可以帮助管理人员做出有效的决策来增加利润和生产率。