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Growing Science » Authors » Ahmad Jafarnejad Chaghooshi

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Sort articles by: Volume | Date | Most Rates | Most Views | Reviews | Alphabet
1.

Planning for disruptions in supply chain networks Pages 135-148 Right click to download the paper Download PDF

Authors: Ahmad Jafarnejad Chaghooshi, Mansour Momeni, Behzad Abdollahi, Hossein Safari, Isa Nakhai Kamalabadi

DOI: 10.5267/j.uscm.2017.8.003

Keywords: Supply chain disruptions, Solutions of coping with disruptions, Interpretive structural Modeling (ISM)

Abstract:
The nature and complexity of today’s supply chains have predisposed them to various risks, which are described under different terms, including disturbances, uncertainties and riots. Under these conditions, organizations are required to manage their supply chain in a way that is responsive to changes. The purpose of this study is to analyze the relationships between the strategies of coping with disturbances in supply chain networks. This is an applied research and using the research literature, 41 factors are selected for the solutions of coping with risk in supply chain networks. Then, these factors are entered in a questionnaire and presented for some supply chain experts. After that, Interpretative Structural Modeling (ISM) and Fuzzy MICMAC are implemented to rate the solutions of coping with risk in supply chain networks. The results show that the establishment of a supply chain continuity system at the seventh level is the basis of agility in the supply chain. The proper and efficient design of processes in the supply chain network will lead to proper operation in management solutions and appropriate synchronization in the supply chain networks. Using appropriate management solutions in synchronization leads to the integration and proper sharing of information within a supply chain network and between various supply chains and government. Additionally, using the synchrony and integration of supply chain networks, it is possible to design the proper supply chain network and appropriate communication between employees and network elements.
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Journal: USCM | Year: 2018 | Volume: 6 | Issue: 2 | Views: 2394 | Reviews: 0

 
2.

A fuzzy hybrid approach for project manager selection Pages 447-460 Right click to download the paper Download PDF

Authors: Ahmad Jafarnejad Chaghooshi, Alireza Arab, Seyyed Jalaladdin Hosseini Dehshiri

DOI: 10.5267/j.dsl.2016.1.001

Keywords: FDEMATEL, FVIKOR, Multi Criteria Decision Making, Project manager

Abstract:
Suitable project manager has a significant impact on successful accomplishment of the project. Managers should possess such skills in order to effectively cope with the competition. In this respect, selecting managers based on their skills can lead to a competitive advantage towards the achievement of organizational goals. selection of the suitable project manager can be viewed as a multi-criteria decision making (MCDM) problem and an extensive evaluation of criteria, such as Technical skills, experience skills, Personal qualities and the related criteria must be considered in the selection process of project manager. The fuzzy set theory and MCDM methods appears as an essential tools to provide a decision framework that incorporates imprecise judgments and multi criteria nature of project manager selection process inherent in this process. This paper proposes the joint use of the Fuzzy DEMATEL (FDEMATEL) and Fuzzy VIKOR methods for the decision-making process of selecting the most suitable managers for projects. First, with the opinions of the senior managers based on project management competency model (ICB-IPMA), all the criteria required for the selection are gathered. Then the FDEMATEL method is used to prioritize the importance of various criteria and FVIKOR used to rank the alternatives in a preferred order to select the best project managers from a number of alternatives. Next, a real case study used to illustrate the process of the proposed method. Finally, some conclusions are discussed at the end of this study.
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Journal: DSL | Year: 2016 | Volume: 5 | Issue: 3 | Views: 3311 | Reviews: 0

 

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