نشریه مدیریت راهبردی در سیستم های صنعتی
پیاپی 49 (پاییز 1398)

The present study aimed to identify components of resistance economy index in the resilient supply chain of automotive industry in Iran by fuzzy Delphi technique, weight and prioritize them through the Best-Worst Method (BWM), and assess and rank Iran Khodro, Saipa and Pars Khodro Industrial Groups for their performance of using the resilience in supply chains through MAPPAC and QUALIFLEX techniques, and finally aggregate results by Borda technique. The present statistical sample and population consisted of 10 logistics senior managers in automotive companies. Results of screening strategies by a fuzzy Delphi method indicated that a native model had six dimensions and forty-two indices. According to results of weighting supply chain resilience strategy dimensions by the BWM, the Jahadi management was the most important dimension of the supply chain resilience, and then the merit maturity was put in the second place, and the agility, redundancy, flexibility and risk management culture were ranked third to sixth respectively. Indices of each dimension were also weighted and ranked. The automotive companies were then evaluated by the proposed model and through MAPPAC and QUALIFLEX techniques.The results of the techniquies integration by Borda method showed up, Iran Khodro got the first rank; Saipa got the second rank and Pars Khodro got the third rank in terms of supply chain resilience.

Carrying out maintenance planning for machine tools is one of the critical factors in reducing operating costs. Inventory management is a key element on the performance of the maintenance policy. Through current research, an integrated inventory control of spare parts and maintenance scheduling is proposed to determine the maximum inventory level as well replenishment cycle (S,T), along with the determination of the optimal preventive maintenance period. The total cost associated with the maintenance system, such as the cost of periodical and emergency orders and the costs of inspections and repairs are minimized via the model objective function. To illustrate the capability and performance of the model, the results of applying the model into a case study is reported in an automotive pre-paint line for determining inventory control policies of a critical item. In addition, in order to analyze the stability of the results, the sensitivity of the variables to the changes in input parameters has been investigated. Based on the results, the total cost is affected by the failure rate, the lead time period, and the cost of replacing defective items. In this regard, the system is more sensitive to failure rate and the lead time. In the case of constant failure rates, applying the proposed method might be successful.

Achieving strategic goals is a prerequisite for reaching out to the prospect. Since prioritization is important in all strategic systems, the priorities in the first phase must be cleared in order to exclude some goals in favor of others, and then in the second stage, the obstacles to the progress of these goals are examined and then Solutions to address these barriers. The purpose of this study was to identify and prioritize strategic objectives based on balanced scorecard funds in the Isfahan oil and gas pipeline company and provide solutions to remove barriers to their implementation. In the first stage, the goals were weighed and prioritized by multi-criteria AHP decision-making methods. The results showed that among the indicators of performance evaluation, the landscape of internal processes in the first priority and customer landscape, growth and learning, and finance are in the next order, respectively. The results of the ranking of different units of the company using the Topsis method indicate that the Repairs Unit has the first rank, and then the line repair and mechanical repair department respectively ranked second and third respectively. At the end, a system dynamics model was mapped and key variables were simulated in a 60-year period.

Data envelopment analysis has been in the center of attention due to independency of the production function. But the initial models of data envelopment analysis are incapable of examining the internal structure of the units and have a black-box view. One of the most common network structures is consecutive two-staged structure. Available models for evaluating this structure are mainly based on the decomposition approach, in other words, their priority is overall efficiency, and the efficiency of the stages is obtained by decomposing the total efficiency. In this paper, an attempt is made to develop a multivariate model that simultaneously considers the overall efficiency and efficiency of the stages. In addition, for multi-response mode, the models were developed to calculate the efficiencies and it was proved that in all models, efficiency scores range from zero to one, and a unit is efficient if only it is efficient in both stages. The presented models were used in an applied example and the results showed that the existing model performed more realistic evaluation than traditional models.

The management of the supply chain is the process of planning, implementing and controlling the flow of raw material, inventory in the course of construction, final products, as well as the flow of related information from the supply of raw materials up to delivery to the final consumer. The purpose of this study is to design a closed-loop supply chain in uncertainty conditions taking into account the intermediary warehouses in the khodrang company. so that its impact on the process of production and distribution, Berlzom recognizes as much of this concept and position as can be found in Enhance the development of khodrang company. In this research after collecting information and consulting with experts of the company, the model was simplified as much as possible without damaging the data principle. Using the nonlinear programming and neural networks and with the software Metalb and Gram coding. The results of this research in a closed environment without the involvement of external variables in the company itself show that the managers of this company have been able to implement the criteria and indicators related to the ring chain and the Nasal demand and product return levels provide the satisfaction of their major customers and suppliers.

The financial crisis and failure of corporate managers always have been a problem for researchers to think of finding ways to predict and improve the status of firms. The risk phenomenon is one of the most important characteristics of decision formation in the field of investment, financial markets and economic activities. The statistical population of the research is the listed companies of Tehran Stock Exchange during the period of 2005-2015. In this regard, the necessity of identifying the financial crisis and examining the effect of different variables on risk and performance measures are highlighted. In this research, first, the statistical sample companies were selected from the elimination method Z - Toffler was used to identify the crisis companies then, the separation of firms to stages were performed using the model of Dickinson cash flows (2005), followed by different periods of life cycle on risk and performance measures in each stage. In order to test the hypotheses, the combination of mixed data and Logit regression method has been used. The software used in this research is Eviews9. The results of the 406 Samples test show that the impact of different periods of life cycle on risk and performance measures has significant differences with one another. The effects of birth and decay periods are higher than those of other periods. Also, the increasing explanatory power of risk measures in different stages of life cycle are significantly different. The maximum explanatory power is related to the decline period

In the new approach, performance management is a tool for implementing strategies, policies, and organizational goals in a good governance path. The main purpose of this research is to provide a performance management framework based on the components of good governance in public organizations. The research is mixed and exploratory in terms of approach. In the qualitative part, the Delphi technique and in the quantitative part, the structural equation method is used to confirm the model. The statistical population is academic experts and auditors of the accounting court. In the qualitative part, 10 academic experts and in the quantitative part, the statistical population was the managers and auditors of the Computing Court. Using the Cochran formula 140 people were selected as the sample. In this research, the model of performance management as a baseline was evaluated and finally, the level of institutionalization of values was added to the overall framework and final model as the overall result of the research. The findings of the study confirm all the components of strategic, operational, human resources and institutional level of performance management values as important and influential variables in presenting a good governance based performance management framework. The percentages obtained in standard and absolute values of the t-statistic as well as the GOF = 0/69 indicate confirmation of the robustness of the final model.

Accurate decision making for selecting contractors in order to manage a project is one of the most important factors of success and enhancing productivity of a project. So, extracting a practical model from the set of factors affecting the selection of contractors can play an important role in improving the project performance, therefore, providing the proposed model is the main objective of this fundamental-applied research. The approach of this research is the integration of the qualitative and quantitative research and the statistical community are the experts of project management. At first, the model structure has been explained by analysis of data collected from the fundamental data theory approach. In the next step to test the conceptual model of research and hypothesis, the method of confirmatory factor analysis and structural equations based on variance was used using partial least squares method and data processing was performed using SMART PLS software. In the last step, to improve and applicability of the model, fuzzy analytic hierarchy technique, the weight of the criteria has been measured and prioritized .Finally, using fuzzy TOPSIS technique, an applied sample of contractor selection has been implemented. The results show that for the efficient selection of a contractor, by using a proposed model based on the determined coefficients and prioritize the sub-criteria of behavioral and technical capability, the company's capabilities and outsourcing goals, the achieving of optimal decision-making conditions is possible.