Title: Fault diagnosis and prioritisation in sugar industry: a fuzzy-AHP approach

Authors: Fatemeh Khorramrouz; Masoud Rahiminezhad Galankashi

Addresses: Department of Industrial, Mechanical and Aerospace Engineering, Buein Zahra Technical University, Buein Zahra, Qazvin, Iran ' Department of Industrial, Mechanical and Aerospace Engineering, Buein Zahra Technical University, Buein Zahra, Qazvin, Iran; Department of Industrial Engineering, Tarbiat Modares University, Tehran, Iran

Abstract: The main aim of this study is to develop a fuzzy analytic hierarchy process (FAHP) model to prioritise the faults of the sugar industry. Although the concept of fault diagnosis has been discussed in previous studies, fault diagnosis of sugar industry is not investigated yet. To fill this gap, this study is carried out in three main phases as follows. Firstly, the general faults of industries are developed from the previous literature. Secondly, the developed faults are investigated with regard to their availability in sugar industry. Finally, a FAHP model is applied to prioritise the faults of sugar industry. According to the results, old technology, improper financing, poor research and development and lack of creativity and innovation are four main faults of sugar industry, respectively. Some managerial implications are suggested to deal with these faults and improve the performance of this industry.

Keywords: fault diagnosis; sugar industry; fuzzy analytic hierarchy process; FAHP.

DOI: 10.1504/IJVCM.2019.100923

International Journal of Value Chain Management, 2019 Vol.10 No.3, pp.181 - 195

Received: 22 Jan 2019
Accepted: 07 Feb 2019
Published online: 19 Jul 2019 *

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