In this paper, models of data envelopment analysis (DEA) were investigated with the aim of measuring the efficiency of production chains in Iran's poultry industry. DEA tool can determine the efficiency frontier and the reference production chain to improve the performance of the poultry industry. Statistical data were collected for 28 active production chains and 8 variables including: Material cost, human resource cost, equipment and facilities cost, transport cost, number of poultry, poultry price, profit, and cost of slaughter. Then, the relative efficiency of each chain was measured using traditional and network DEA. Finally, cross efficiency method was used to rank efficient chains. Traditional DEA results showed 25% of production chains to be efficient. Meanwhile, this percentage was equal to 10.7% in the proposed model of the paper (two-stage DEA). Therefore, the scientific accuracy of the reference production chain will be higher in the network model. The rest of the results and their details were presented and discussed. The results of this paper can be useful in the decision-making and policies of poultry industry managers and also improve the performance of production chains in this industry. تفاصيل المقالة

Today, due to the expansion of organizational competition, the growth of technology, and the increasing demand for customers, organizations that gain a competitive advantage over competitors by adopting scientific strategies can survive. There are various approaches to create a competitive advantage in organizations. On the other hand, in the scientific literature of this field, there is no integrated model that can cover the gap between these approaches. The aim of this paper is to present a new hybrid model for determining organizational competition strategies and criteria through decision-making tools. In this research, brands of dairy products listed in Iran were selected as a case study to demonstrate the application of the methodology. First, competitive strategies were determined through the Delphi method and expert judgment based on the SWOT technique. Then, relying on the SWOT technique, appropriate evaluation criteria were extracted through the fuzzy DEMATEL method. In the next step, each brand was considered as a decision-making unit (DMU). In addition, the output of the fuzzy DEMATEL method formed the initial values (inputs-outputs) of data envelopment analysis (DEA). Finally, after determining DEA weights via analytic network process (ANP), the efficiency of DMUs was measured by the Russell DEA model. The results of DEA showed that based on the strategies of the SWOT technique, 38% of the units under investigation are efficient. Also, the lowest efficiency obtained from the units was 82%, which shows that there is no noticeable dispersion in the efficiency values. In other words, it shows that the performance of all brands of dairy products is at a suitable level. The rest of the results and discussion are presented in detail. Analysis shows that the model of this research can be a suitable model for survival in today’s tight organizational competition in the world. تفاصيل المقالة