EMPLOYING MULTI ATTRIBUTES DECISION MAKING TECHNIQUES FOR RATING THE SUPPLY CHAIN RISK FACTORS (CASE STUDY: THE FIELD OF INFORMATION TECHNOLOGY IN SMALL AND MEDIUM ENTERPRISES)

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MIRFAKHRODDINI HAIDAR; ANDALIB ARDAKANI DAVOOD; REZAEI ASL MORTEZA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES Year:2011 | Volume:8 | Issue:21 Page(s): 107-130

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Title

EMPLOYING MULTI ATTRIBUTES DECISION MAKING TECHNIQUES FOR RATING THE SUPPLY CHAIN RISK FACTORS (CASE STUDY: THE FIELD OF INFORMATION TECHNOLOGY IN SMALL AND MEDIUM ENTERPRISES)

Author(s)

MIRFAKHRODDINI HAIDAR | ANDALIB ARDAKANI DAVOOD | REZAEI ASL MORTEZA | Issue Writer Certificate

Keywords

RISK MANAGEMENTQ2

DECISION-MAKING TECHNIQUESQ2

SUPPLY CHAIN MANAGEMENTQ2

DECISION-MAKING MULTI-INDEXESQ2

Abstract

Supply chain is a network of independent organizations that cooperate with each other, in order to control, manage and improve material and information flow from suppliers to final consumers to meet customer satisfaction. In Industry, especially industries that are moving towards the longer supply chain, the issue of supply chain RISK MANAGEMENT is important.The RISK MANAGEMENT process focuses on the identification of risks and reduction of theirs adverse effects. RISK MANAGEMENT process in supply chain includes four-phase identification, assessment, control or management and tracking of risky events. The aim of risk assessment is risk measurement based on various attributes. A key part of this process is risk rating, in this article first, with study of multi criteria decision making, it was tried to recognize the appropriate model for ranking of risk factors in order to determine their priority and allocate resources to deal with each of them. More, the field of information technology in small and medium enterprises was studied and after recognizing of risk factors of field of information technology in small and medium enterprises, Electre, Topsis and Taxonomy techniques to rank these factors were used.More and also with calculating the Spearman correlation coefficient for detecting convergence of ratings, using the mean method, the final ranking risk factors in the supply chain field were acquired.

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APA: Copy

MIRFAKHRODDINI, HAIDAR, ANDALIB ARDAKANI, DAVOOD, & REZAEI ASL, MORTEZA. (2011). EMPLOYING MULTI ATTRIBUTES DECISION MAKING TECHNIQUES FOR RATING THE SUPPLY CHAIN RISK FACTORS (CASE STUDY: THE FIELD OF INFORMATION TECHNOLOGY IN SMALL AND MEDIUM ENTERPRISES). JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, 8(21), 107-130. SID. https://sid.ir/paper/213175/en

Vancouver: Copy

MIRFAKHRODDINI HAIDAR, ANDALIB ARDAKANI DAVOOD, REZAEI ASL MORTEZA. EMPLOYING MULTI ATTRIBUTES DECISION MAKING TECHNIQUES FOR RATING THE SUPPLY CHAIN RISK FACTORS (CASE STUDY: THE FIELD OF INFORMATION TECHNOLOGY IN SMALL AND MEDIUM ENTERPRISES). JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES[Internet]. 2011;8(21):107-130. Available from: https://sid.ir/paper/213175/en

IEEE: Copy

HAIDAR MIRFAKHRODDINI, DAVOOD ANDALIB ARDAKANI, and MORTEZA REZAEI ASL, “EMPLOYING MULTI ATTRIBUTES DECISION MAKING TECHNIQUES FOR RATING THE SUPPLY CHAIN RISK FACTORS (CASE STUDY: THE FIELD OF INFORMATION TECHNOLOGY IN SMALL AND MEDIUM ENTERPRISES),” JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, vol. 8, no. 21, pp. 107–130, 2011, [Online]. Available: https://sid.ir/paper/213175/en

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