Integrated Fuzzy AHP-Codas Framework for Maintenance Decision in Urea Fertilizer Industry

Dilbagh Panchal (), Prasenjit Chatterjee (), Rajendra Kumar Shukla, Tanupriya Choudhury () and Jolanta Tamosaitiene ()
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Dilbagh Panchal: Department of Mechanical Engineering, Amity University, INDIA
Prasenjit Chatterjee: Department of Mechanical Engineering, MCKV Institute of Engineering, Howrah-711204, INDIA
Rajendra Kumar Shukla: Department of Mechanical Engineering, Amity University, INDIA
Tanupriya Choudhury: Department of Computer Science, Amity University,INDIA
Jolanta Tamosaitiene: Civil Engineering Faculty, Research Institute of Smart Building Technologies Vilnius Gediminas Technical University, LITHUANIA

ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2017, vol. 51, issue 3, 179-196

Abstract: This paper proposes a novel integrated MCDM (multi-criteria decision-making) framework based on fuzzy AHP (Analytical Hierarchy Process) and a new fuzzy CODAS (Combinative Distance Based Assessment) approaches for solving the maintenance decision problem in a process industry. Under fuzzy AHP, a hierarchy structure related to the decision problem has been developed and the weights for different criteria and sub-criteria were computed using Geometric Mean (GM) method. These weights are further included in fuzzy CODAS approach to obtain the final ranking of the considered alternative maintenance strategies. Sensitivity analysis has also been performed for investigating the stability and validation of the proposed framework. The proposed framework was employed for selecting an optimal maintenance strategy for an Ammonia Synthesis Unit (ASU) of a urea fertilizer industry located in North India.

Keywords: Urea fertilizer industry; maintenance strategy selection; Fuzzy AHP-CODAS; sensitivity analysis. (search for similar items in EconPapers)
JEL-codes: C02 C44 C61 C63 L6 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (5)

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