An integrated fuzzy AHP and fuzzy MOORA approach to the problem of industrial engineering sector choosing


AKKAYA G., TURANOĞLU B., ÖZTAŞ S.

EXPERT SYSTEMS WITH APPLICATIONS, vol.42, no.24, pp.9565-9573, 2015 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 42 Issue: 24
  • Publication Date: 2015
  • Doi Number: 10.1016/j.eswa.2015.07.061
  • Journal Name: EXPERT SYSTEMS WITH APPLICATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.9565-9573
  • Keywords: Industrial engineering, Sector selection, Fuzzy AHP, Fuzzy MOORA, DECISION-SUPPORT-SYSTEM, MULTIOBJECTIVE OPTIMIZATION, MULTIMOORA METHOD, MANAGEMENT, SELECTION, METHODOLOGY, RANKING
  • Ataturk University Affiliated: Yes

Abstract

Industrial engineering is a field of profession that offers various work areas around the world. Since it has a wide variety of work areas, students encounter with the problem of taking a decision on which sector to work in the future. Therefore, a questionnaire has been conducted on 60 students who study at Industrial Engineering department at different universities in Turkey. Fuzzy AHP (Analytic Hierarchy Process) and fuzzy MOORA (Multi-Objective Optimization by Ratio Analysis) methods have been applied to the results of the questionnaire that has been done for 7 sectors (manufacturing, logistics, finance/ banking, health, technology, software/ informatics and academics) and 10 criteria (payment, job satisfaction, career opportunities, being productive, having a goal, status, guidance/ pressure, social opportunities, employment deficit and easiness of job). The significance of criteria has been determined by using the fuzzy AHP method while the sectors that have been preferred mostly within the certain criteria have been determined using the fuzzy MOORA method. Finally, the most commonly preferred sectors have been identified as technology, software/informatics and finance. (C) 2015 Elsevier Ltd. All rights reserved.