Title: Operational research application to minimise the uncertainty of time and cost in the main domains of industrial engineering by using quality engineering techniques

Authors: Ramin Rostamkhani; Mohammad Hossein Karimi Gavareshki; Morteza Abbasi; Mahdi Karbasian

Addresses: Industrial Engineering Complex, Malek Ashtar University of Technology, Tehran, Iran ' Industrial Engineering Complex, Malek Ashtar University of Technology, Tehran, Iran ' Industrial Engineering Complex, Malek Ashtar University of Technology, Tehran, Iran ' Faculty of Industrial Engineering, Malek Ashtar University of Technology, Isfahan, Iran

Abstract: The present research attempts to introduce an operational research model to minimise the uncertainty of time and cost in the main domains of industrial engineering (IE) by using quality engineering techniques (QET). The research approach is based on three processes. The first process reviews QET among the most important IEF. The second process relates to the influential factors. The third process concentrates on the operational research model by applying the fuzzy multi-objective linear programming. A numerical application for the third process is explained. The assessment results are endorsed by the management representatives' views in the organisation. The first innovative aspect of the research is the combination of QET and IE in the operational research model to save time and cost within the organisation. The second novelty of the current study is the use of quantum mechanics perspectives for the time concept in the long-term.

Keywords: uncertainty; industrial engineering; quality engineering techniques; QET; multi-objective linear programming.

DOI: 10.1504/IJOR.2024.140484

International Journal of Operational Research, 2024 Vol.50 No.4, pp.521 - 551

Received: 08 Aug 2021
Accepted: 23 Nov 2021
Published online: 20 Aug 2024 *

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