supply chain management analyzing/modelling
Mohammad Mehdi Rahimian Asl; Mohammad Hassan Maleki
Abstract
Purpose: The purpose of this paper to evaluate the level of antifragility in the supply chain of a Daroopakhsh company. To improve the company's competitive position and confrontation to disruptions and breakdowns, the supply chain must move towards antifragility. Accordingly, the supply chain, in addition ...
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Purpose: The purpose of this paper to evaluate the level of antifragility in the supply chain of a Daroopakhsh company. To improve the company's competitive position and confrontation to disruptions and breakdowns, the supply chain must move towards antifragility. Accordingly, the supply chain, in addition to being prepared to deal with and respond to disruptions, has the ability to recover pre-disruption conditions and create even better conditions. To move in this direction, it is necessary for decision makers to properly recognize the current position of their supply chain and make the right decisions to improve its dominance.Methodology: To achieve this goal, the present study intends to determine the declining performance of this supply chain system in optimal, current and minimum conditions using Demetel technique, graph theory method and matrix approach. Finally, using the importance-performance analysis method, the components of supply chain are analyzed and prioritize the improvement of each factor.Findings: Based on the results, respectively, supply chain structure, improvement and recovery, learning, flexibility and innovation are in the first to fifth priority to improve the dominance structure of the company's supply chain.Originality/Value: This research supports organizations in assessing the level of sufficiency of their supply chain and facilitates decision making. The following approach can simplify the dynamic nature of the environment for managing supply chain disruptions and even allow managers to compare different supply chains. Continuous assessment and monitoring of the level of chain volatility enables the creation of a competitive advantage to achieve greater market share even during a disruption or ongoing disruptions.
Decision based on Soft Computing
Mostafa Mahmoodi Sharif; Mohammad Mehdi Rahimian Asl; Mohammad Hassan Maleki
Abstract
Purpose: The purpose of this paper, Futures Studies of Iran's Oil Industry Supply Chain with Emphasis on Internal Factors. Supply chain plays an important role in the efficiency of providing products and services. This category is becoming more important in the oil industry, which is one of the competitive ...
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Purpose: The purpose of this paper, Futures Studies of Iran's Oil Industry Supply Chain with Emphasis on Internal Factors. Supply chain plays an important role in the efficiency of providing products and services. This category is becoming more important in the oil industry, which is one of the competitive advantages of the country, and its development can create a lot of currency and employment for the country's economy.Methodology: The present research is applied in terms of orientation and exploratory in terms of purpose. Also, the philosophical foundations of research, pragmatism and its methodology are mixed. To conduct the research in the first stage, by reviewing the literature and interviewing oil industry experts, 16 key drivers of the research were extracted. After screening, 8 factors were removed by statistical tests and the rest of the factors were evaluated by Cross Impact Analysis technique.Findings: Based on the degree of effectiveness, the two drivers of government financing policies and oil companies' plans to improve and upgrade oil equipment were selected as important drivers for mapping oil industry supply chain scenarios.Originality/Value: Based on these two drivers, four scenarios of opportunistic supply chain, resource-oriented supply chain, new supply chain and old supply chain were mapped. According to the four criteria for evaluating scenarios in terms of probability of occurrence and application of CODAS technique, the opportunistic supply chain scenario was selected as the most probable scenario.