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.
Abas Fadaei; Masood Rabieh; Mostafa Zandieh
Abstract
Considering that the active companies in the field of oil, gas,petrochemical and other energies are project-based and also theincrease of gas applicants who have taken policy of replacing the gasinstead of other fossil fuels, have imposed certain condition onorganizations and project managers in the ...
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Considering that the active companies in the field of oil, gas,petrochemical and other energies are project-based and also theincrease of gas applicants who have taken policy of replacing the gasinstead of other fossil fuels, have imposed certain condition onorganizations and project managers in the Gas Company.One of themost important problem in the issue of project management is projectportfolio selection which is defined one of the most importantactivities in many organization such as gas organization. In this studyat first the effective indicators on projects are extracted by using theliterature and interviews with the experts of gas industry then themathematical robust multi objective model is provided by consideringthe uncertainty and unreliability in some parameters of model. Thismodel is solved by using Non-dominate Sorting Genetic Algorithmfor 20 degree of risk-taking decision Gama ( , Ct Bt ).At the end forhelping in decision making the TOPSIS technique is used forproviding a specific answer in Pareto Front .
Amine Keramaty; Majid Esmaelian; Masoud Rabieh
Volume 13, Issue 39 , January 2016, , Pages 63-90
Abstract
This paper presents a mathematical model for the multi-mode resource-constrained project scheduling problem with maximizing the net present value of project. The proposed model is inspired by MRCPSP-GPR. Firstly, we presented an exact model solving MRCPSP_GPR then we expanded the model to estimate other ...
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This paper presents a mathematical model for the multi-mode resource-constrained project scheduling problem with maximizing the net present value of project. The proposed model is inspired by MRCPSP-GPR. Firstly, we presented an exact model solving MRCPSP_GPR then we expanded the model to estimate other cost-related options, penalty-related expenditure is a case in point. As a result of estimating different factors which impact on project scheduling such as reward and penalty of finishing the project, managers can efficiently make a better decision. For better adaptation with real conditions, we consider two payment methods in two objective functions. The adjusted schedule by proposed model and solving time was logical. Moreover, to verify the proposed model, a numerical example is solved in small size and the related computational results are illustrated in terms of schedules. In addition, computational results with a set of 36 test problems in various sizes are reported and the results analyzed.
