A Multi-Objective Mathematical Model for Level of Repair Analysis with Lead Times and Multi-Transportation Modes

Ä°smail Bıçakcı (), Yusuf Tansel Ä°ã§, Esra Karasakal () and Berna Dengiz ()
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İsmail Bıçakcı: Department of Industrial Engineering, Baskent University, Etimesgut, Ankara 06790, Turkey
Yusuf Tansel Ä°ã§: Department of Industrial Engineering, Baskent University, Etimesgut, Ankara 06790, Turkey
Esra Karasakal: ��Department of Industrial Engineering, Middle East Technical University, Çankaya, Ankara 06800, Turkey
Berna Dengiz: Department of Industrial Engineering, Baskent University, Etimesgut, Ankara 06790, Turkey

International Journal of Information Technology & Decision Making (IJITDM), 2022, vol. 21, issue 01, 423-440

Abstract: In the event of failure of the product, level of repair analysis (LORA) is used to determine (1) whether the defective component should be discarded or repaired and (2) where this repair is made. In the literature, these repair operations are made with the aim of minimizing the total life cycle cost of the product. In this paper, we develop a multi-objective decision model that minimizes both the repair time (affected by lead times) and the repair costs. Our proposed model also considers the movement of the defective components to be performed by multiple transportation modes such as highway, railway, and airway. We use the epsilon constraint method to generate the Pareto frontier and analyze the trade-off between total repair costs and total repair time. We demonstrate the approach on an example problem.

Keywords: Level of repair analysis; multi-objective optimization; epsilon constraint method; lead time; Pareto frontier (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0219622021500632

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