Industrial Management Studies

Abstract Petrochemical industry is one of the leading industries in the field of oil and gas in the country, which has a significant role in completing the chains of value creation in this field. Today, given the fact that sustainable development and, consequently, sustainable adaptation in supply chain management have become a social demand, the development of the petrochemical industry in the country and the penetration of global markets require the adaptation of sustainable development approaches in this industry. The purpose of this study is to identify, assess and analyze enablers that facilitates the achievement of sustainable development goals in the petrochemical supply chain. In order to achieve the research objectives, first by using Meta-Synthesis Method, the previous studies in the field of sustainable supply chain management investigated and the main factors and components that enable sustainable supply chain management have identified. Then, according to the Graph Theory and Matrix Approach (GTMA), the Supply chain management enablers have been analyzed. Based on the research findings, sustainable supply chain management enablers in the petrochemical industry was divided into components related to corporate governance, supply chain management, continuity of supply chain, supply chain characteristics, partnership in supply chain, and employees. The components related to continuity of the supply chain were the first priorities of planning in the petrochemical industry.

Abstract Companies, as one of the most prominent features of today's societies, are rapidly changing and evolving, and in the current situation, improving the innovation capabilities is one of the main goals of any living and active organization. The purpose of this study is to investigate the effect of social capital on innovation capabilities in supplier-buyer relationships by of opportunistic and intellectual property risks. The statistical sample in this study contains 95 of supply chain managers which are active in the escalator and elevator industry. The collected data were analyzed by using partial least squares method and Smart PLS software. The findings illustrate positive and significant effect of social capital on innovation capabilities (and indirectly through intellectual property risk). Opportunistic and intellectual property risks also have a significant negative impact on innovation capabilities. The results of this study for managers reveal the fact that investing in social capital in a buyer-supplier relationship not only does not hurt but also achieves a competitive advantage through innovation capabilities.

Abstract Purpose – Organization managers tend to use an optimal and precise method to evaluate the performance of their organization by understanding the organization dynamics. The immediate research goal was to propose a dynamic model for the performance evaluation of a LARG supply chain with the balanced scorecard (BSC) approach.

Design/methodology/approach – In this study, dynamic simulations are carried out for the performance evaluation of a supply chain. At first, a strategy map was designed, and measures are identified for each strategic objective considering the LARG supply chain measures. Afterward, a quantitative dynamic model was designed to identify the mathematical relationships among them.

Findings – The proposed model is implemented in a company operating in the automotive industry. Based on the company’s strategic objectives, scenarios were designed and analyzed to evaluate the performance of the LARG supply chain with the balanced scorecard approach.

Research limitations/implications – The BSC- based LARG supply chain evaluation has been studied for the auto part manufacturer sector. The different industry may lead to different results as the model designed important in each sector may differ as well as how each model is designed.

Originality/value – The dynamic model enables managers to identify the determinants of the supply chain performance and set the scene for the necessary decisions by analyzing the possible scenarios in advance.

Abstract In recent years, the complexity of the environment, the intense competition of organizations, the pressure of governments on producers to manage waste products, environmental pressures and most importantly, the benefits of recycling products have added to the importance of designing a closed loop supply chain network. Also, the existence of inherent uncertainties in the input parameters is another important factor that the lack of attention them can affect the strategic, tactical and operational decisions of organizations. Given these reasons, this research aims to design a multi-product and multi period closed loop supply chain network model in uncertainty conditions. To this aim, first a mixed-integer linear programming model is proposed to minimize supply chain costs. Then, for coping with hybrid uncertain parameters effectively, randomness and epistemic uncertainty, a novel robust stochastic-possibilistic programming (RSPP) approach is proposed. Furthermore, several varieties of RSPP models are developed and their differences, weaknesses, strengths and the most suitable conditions for being used are discussed. Finally, usefulness and applicability of the RSPP model are tested via the real case study in an edible oil industry.

Abstract Supply chain management can lead to a sustainable competitive advantage. The present study is in search of paper industry supply chain strategies with respect to supply chain dynamics and lean supply chain using dynamics in order to gain a competitive advantage in Iran Wood and Paper Industries Company (Chooka). For this purpose, first, using organizational data and decision makers' participation, the system dynamics model was designed and after validation, the model was simulated in a ten-year horizon. According to the behavior of target variables and model sensitivity analysis in the simulation horizon, policies in line with lean supply chain strategy and sustainable profitability strategy of Chooka business were designed and applied separately and in combination to the model. And analyzed. According to the findings of the model simulation, productivity promotion policies through the use of lean methods in internal processes, increasing the quality of paper products, increasing innovation in the production and supply of paper products, improving raw material supply management And strategic partnership with suppliers of raw materials, industrial waste management, waste and solid waste management and staff empowerment have been presented as the best combined policies of the supply chain strategy of Iran's wood and paper industries.

Abstract Operational strategy is one of the essential tools for operations management in the current competitive environment. The operational strategy focuses on the activities of the operational levels in line with the competitive priorities of the organization. Hence, the present study tries to review and design the most appropriate operational strategies for increasing the efficiency of the Automotive manufacturing industry. However, given that the supply chain of this industry is dependent on the changing and unpredictable environment of the market and environment such as raw materials, suppliers' conditions, government policies and sanctions, and the price fluctuations caused by currency volatility, so the need for operational strategies is felt. Therefore, after determining the annual goals for each output, continuous flow production system was identified as the appropriate system for achieving the desired situation in the studied company. At last, adjustments were provided to improve the company's status in each of the production levers. Output Prioritization and development of the Miltenburg model with the Fuzzy Best-Worst Method took place for the first time According to the experts' opinion, which cost criterion identified as the most important output and the Quality criterion placed at the second level of important; and also Flexibility, performance and delivery criteria placed at the next level of important.

Abstract Most studies on decision making issue have supposed the problem in deterministic environment, and because uncertainty makes the decisions taken suboptimal, so in this paper we propose a credibility based fuzzy model for the Vehicle Routing Problem with Simultaneous Delivery and Pickup and Time Windows (VRPSDPTW). The dispatching cost of vehicles and customers’ time windows are supposed to be trapezoidal fuzzy numbers. We also proposed a hybrid meta-heuristic algorithm called Improved Particle Swarm Optimization (IPSO) for solving the problem. The proposed algorithm is the combination of Particle Swarm Optimization (PSO) and some removal and insertion techniques which helps to improve the searching ability and maintain diversity of solutions. Finally, to demonstrate the applicability of the proposed model in the real world we studied the distribution of dairy products among customers by a distribution company in Fars province. The computational results show that distributors can use this method to reduce operating costs of the company.