Mohammad Ali Sangbor; Mohammad Reza Safi; Masood Rabieh
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 ...
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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.
Amir Mehdiabadi; Adel Azar; AbuTurab Alirezaee; Ghanbar Abbaspour Esfeden
Abstract
The Soft System Methodology (SSM), one of the OR techniques, is used tosolve complex real-world problems. Since to design of the after-sales servicemodels for the liquefied gas industry, various groups, such as refineries,mopeds, silencers, taps, standardized organizations, and the consumer rightsprotection ...
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The Soft System Methodology (SSM), one of the OR techniques, is used tosolve complex real-world problems. Since to design of the after-sales servicemodels for the liquefied gas industry, various groups, such as refineries,mopeds, silencers, taps, standardized organizations, and the consumer rightsprotection organization should be considered, so decision making in thissituations are very complicated issue. In this study, using the aboveapproach, the problem of non-structured model design at the world-classlevel is explained and then, by specifying its boundaries, the image of thevarious actors of the system and their benefits are depicted. In the third step,the CATWOE approach is used to explain the basic definition of the aftersales service model in this industry, and in the fourth stage, a conceptualmodel of activities is presented using the root definition. This paper usesintegration of ISM-Fuzzy Delphi in the process of problem solving. In thefifth step, the developed model is compared with the real world. In the sixthstage, desirable and feasible changes were identified and explained by theIPA method. Finally, using the results of the previous stages, andsuggestions for the development of the model to reach the world class levelare presented to the authorities and stakeholders.
Adel Azar; Meisam Shahbazi; Ali Amiri
Abstract
The turbulent and dynamic environment of today's business world has become increasingly challenging for organizations operating in different business areas. In such a situation, in order to get rid of these conditions, moving forward and towards the perspective of the new horizons of prosperity and survival ...
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The turbulent and dynamic environment of today's business world has become increasingly challenging for organizations operating in different business areas. In such a situation, in order to get rid of these conditions, moving forward and towards the perspective of the new horizons of prosperity and survival is the dream of many of them. In the meantime, according to the specific circumstances and requirements that govern each institution or organization, and in order to achieve their desired productivity, they use certain strategies and programs that outsourcing is one of these strategies. Today, organizations are outsourcing to boost competitive ability and profit and focus on their competitive edge.In this research, a mathematical programming approach is proposed to optimize the issue of outsourcing in the supply chain. In this approach, at first the mathematical model of the problem showed and then in order to solve the problem of the theory of Markov chains described. The objective function of the problem involves minimizing the cost of purchasing, outsourcing and lost demand. In order to solve the problem, three genetic metamorphic algorithms, gray wolves and ant lion have been used. After examining the numerical expressions, Gray wolf's algorithm has the highest level of performance. In order to expand the applied dimensions of research in real-world conditions, a company (MPEICO) that manufactures insulators is considered as the case study
hossein mohebbi; adel azar; Abasali Heidari; Ameneh Khadivar
Abstract
Nowadays, most supply chains are starting to go green in their business with pay more attention to environmental protection as competitive advantage. Therefore, Designing a two-stage green supply chain for optimum assignment a green supplier to a green producer based on maximum efficiency and attention ...
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Nowadays, most supply chains are starting to go green in their business with pay more attention to environmental protection as competitive advantage. Therefore, Designing a two-stage green supply chain for optimum assignment a green supplier to a green producer based on maximum efficiency and attention to intermediate products and processes is essential. Because, economic performance and environmental performance of the supply chain will increases. One of the methods used to evaluating efficiency in the green supply chain management, is data envelopment analysis (DEA). The traditional DEA methods for evaluating efficiency of supply chain processes and multi-stage systems not working properly, Because, each decision making units is assumed as a black box and ignore its internal processes. In order to overcome this deficiency, a novel two-stage network DEA will be presented based on the concepts of Electrical Engineering that ability to consider all inputs, Intermediate products, desirable and undesirable outputs between supplier and producer in the green supply chain for optimum assignment a supplier to producer based on maximum efficiency. The proposed model has been described by an application example and Its reliability has been confirmed.
