فصلنامه مطالعات مدیریت صنعتی
پیاپی 65 (تابستان 1401)

Closed loop supply chain network design is of great important due to the legal requirements and economic benefits. Raw material suppliers are of the most important players of this supply chain. Most of the previous researchers studied the design problem separated from the supplier assessment. Some other criteria except for price, like the production process, the features of parts and reliability of supply have long term effects on the performance of supply chains. In this research a general closed loop supply chain network including production centres, disassembly, refurbishing, and disposal sites is considered. An integrated two-phase model is given so that in the first phase, the proposed fuzzy-MOORA-reference point method is applied to suppliers’ assessment and the results from this phase is used in the second phase. In the second phase, a three-objective mixed integer linear programming model is proposed in order to determine the eligible suppliers, the locations of refurbishing sites and the material flows between the supply chain members. The objective functions are maximizing profit, suppliers’ evaluation and resiliency scores. Unsatisfied demand of customers is lost. The numerical results show the validity of the model and the role of stockout option in reaching better solutions based on the LP-Metric method.

The aim of this study was to investigate the relationship between comprehensive productive maintenance, TQM, supply chain management, learning organization characteristics and operational performance. In order to conduct research operations, the conceptual framework of the research was first presented by studying the theoretical foundations. In the next stage, by compiling and distributing a questionnaire among 180 people from the statistical population of the research consisting of senior, middle and operational managers aware of the subject under study, export companies of Golestan province were distributed randomly, the information needed to test research hypotheses was collected. Finally, 146 completed return questionnaires were covered by the structural equation modeling technique based on the partial least squares method. The results obtained based on this technique showed that the maintenance and repair of comprehensive productivity has a positive effect on total quality management, while the maintenance and repair of comprehensive productivity alone could not achieve an acceptable result to achieve operational performance and requires comprehensive quality management. . Another result obtained indicates the positive effect of total quality management and supply chain management and the mediating role of supply chain management in achieving operational performance between the two variables of total quality management and operational performance. In addition to these results, it was found that total quality management has a positive effect on the learning organization and the learning organization has an important role between total quality management and operational performance of export companies in Golestan province.

Reliability Redundancy Allocation (RRA) is one of the most important problems facing the managers to improve the systems performance. In the most RRA models, presented in the literature components’ reliability used to be assumed as an exact value in (0,1) interval, while various factors might affect components’ reliability and change it over time. Therefore, components reliability values should be considered as uncertain parameters. In this paper, by developing a discrete - continuous inference system, an optimization - oriented decision support system is proposed considering the components’ reliability as stochastic variables. Proposed DSS uses stochastic if - then rules to infer optimum or near optimum values for the decision variables as well as the objective function. Finally, In order to evaluate the efficiency of the proposed system, several examples are provided. Comparison of the inferred results with the optimal values shows the very good performance of the developed stochastic decision support system.

In today's markets that industries have faced different risks and disruptions, selecting the appropriate and resilient supplier has become a strategic factor for the success and sustainability of organizations in a turbulent and competitive business environment and has attracted much attention from researchers and practitioners. The natural stone industry is one of the most important industries in Iran. Hence, this study aims to identify and rank the evaluation criteria of resiliency in a real case study of natural stone industry. Gathering the criteria was done based on the previous related literature and in order to confirm the identified criteria, a survey of 10 stone industry experts was conducted using the fuzzy Delphi method. Consequently, 20 criteria was approved. In order to rank the approved criteria, the best-worst method (BWM) was used. The results showed that flexibility, velocity and financial performance are the most important suppliers' resiliency evaluation criteria in the stone industry, respectively.

In this paper, we study a novel pickup and delivery problem called carrier collaboration (CC). This problem includes a set of heterogenous (refrigerated and general type) vehicles with specific capacities for serving perishable products to several pickup and delivery nodes. Each carrier can have reserved and selective requests which can be delivered before the products are corrupted. The fleet of vehicles must serve reserved requests, but the selective requests can be served or not. Products are corrupted at a constant rate and a rate of corrosion in general type vehicles is greater than referigrated type veicles and the cost of using general one is less than referegireted. For the mentioned features, we develop a nonlinear mathematical model. The purpose is to find routes to maximize profits and reduce costs while at the same time, enhance customer satisfaction which is dependent on the freshness of delivered products. A Gnetic Algorithm (GA) is proposed to solve this problem due to its NP-hard nature. In this study, Variable Neighborhood Search (VNS) method is developed for improving the quality of initial solutions. Several instances are generated at different scales to evaluate the algorithm performance by comparing the results of an exact optimal solution wih that of the proposed algorithm. The obtained results demonstrate the efficiency of the proposed algorithm in providing reasonable solutions within an acceptable computational time.

Today, with increasing environmental uncertainty, one of the ways to adapt to changes and ensure a permanent job is the tendency towards hybrid entrepreneurship. the present study aimed to survey the impact of hybrid entrepreneurship on career success with the mediating role of diverse career path orientation was conducted. This research is applied research and it is among the descriptive and survey researches. The statistical population of this study is the managers and employees of companies located in industrial states in Lorestan province. Using the Cochran sample calculation formula, the sample size of 350 people was determined and the sample members were selected using the available sampling method. Data collection tools in the present study were standard questionnaires whose validity and reliability were confirmed by content method and Cronbach's alpha and combined reliability. the structural equation modeling approach and PLS software have been used to test the hypotheses. The results of the hypothesis indicate that hybrid entrepreneurship has positive impact on diverse career path orientation and career path success. as a general result, it should be noted that due to the high rate of bankruptcy and loss of jobs, people who work in industrial estates and in professional jobs, can with a hybrid entrepreneurial strategy and direction orientation. A diverse career that leads them to new and entrepreneurial businesses, try your luck at the success of a new career and another business, and take advantage of the benefits of second job, unemployment and state of mind. Unemployment to be safe.

Carbon emissions related to energy consumptions from the manufacturing industry have become a substantial part of environmental burdens. Carbon emissions related to energy consumptions from the manufacturing industry have become a substantial part of environmental burdens. This study presents carbon emission constraint into the economic lot scheduling problem to reduce carbon emissions. The aim of this research to satisfy customer demand for various items over the planning horizon, with an objective to minimize total costs, includes setup, production, rework and holding costs. In this problem, it is assumed that the production process is defective, and during the process some of the goods are produced with undesirable quality. Defective products can be sold using a rework process. This proposed model has been proven to be a nonlinear convex programming problem. Hence, the optimal solution of this proposed model can be obtained using the derivative method. Finally, a hypothetical example is solved to demonstrate the performance of the proposed exact solution algorithm.