JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES
Year:2022 | Volume:20 | Issue:65|Papers Count:7

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 present study aimed to investigate the relationship between maintenance and repair of total productivity, total quality management, equipment management, characteristics of the learning organization and operational operations. In conducting research operations, first a conceptual theory of research was presented by theoretical study. In the next stage, by compiling and distributing a questionnaire among 180 people from the statistical population of the research consisting of managers on the subject of testing of experimental companies in Golestan province, the information needed to test the research hypotheses was collected by simple random sampling. Finally, 146 questionnaires have been completed. The results showed that maintenance repairs and operation of the surroundings had a positive effect on TQM, but alone achieved a satisfactory result for achieving operational performance and required TQM to do so. Another result obtained shows the effect on total quality management and control chain management and the mediating role of control management in achieving operational performance between the two functions of total quality management and operational performance.

Reliability Redundancy Allocation (RRA) is one of the most important problems facing the managers to improve the systems performance. In most RRA models, 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, 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 decision variables as well as objective function. Finally, by providing several numerical examples, the efficiency of the proposed DSS is evaluated.

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.

The carrier collaboration problem for logistic optimization is a fundamental part of the sustainable supply chain, and has increasingly been of concern in recent years. This study proposes a novel nonlinear mathematical model to address the carrier collaboration problem. It involves a set of heterogenous vehicles with specific capacities for serving perishable products to several pickup and delivery nodes. Products are corrupted at a constant rate. The purpose is simultaneously finding routes to maximize profits in order to enhance customer satisfaction which is dependent on the freshness of delivered products. There are various applications of the proposed model in the environment which can help reducing transportation emissions, eliminating empty back hauls. Further, the proposed model uses a Hybrid Genetic Algorithm (HGA) is proposed to solve this problem due to improve the quality of initial solutions Variable Neighborhood Search (VNS) method is developed. 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 the study is hybrid entrepreneurs in the form of people active in industrial companies of Lorestan province and people working in the market and the private sector who have a second job. These individuals were selected using the Cochran sample calculation formula at a 95% confidence level of a sample size of 350 people 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.

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.