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

Bicakci I., İÇ Y. T., KARASAKAL E., DENGİZ B.

INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, cilt.21, sa.01, ss.423-440, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 21 Sayı: 01
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1142/s0219622021500632
  • Dergi Adı: INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.423-440
  • Anahtar Kelimeler: Level of repair analysis, multi-objective optimization, epsilon constraint method, lead time, Pareto frontier, OPTIMIZATION, ALGORITHMS, LOCATION
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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.