Author
Yanıkoğlu, İhsan, Denizel, M.
Publication Date
2021
Publication Place
-
Taylor & Francis
Subject
Remanufacturing, Production planning, Quality grading, Robust optimisation
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
0020-7543
Record ID
924d2cfd-660f-4e4c-a8c2-c151ad4c7f4b
Library Location
Industrial Engineering
Date
2021
Sample Text
In remanufacturing, variability in quality levels of available cores (end-of-life products) has an impact on both the process cost and the process time. While previous research suggests that quality grading adds value, there are also concerns raised regarding how reliably the grades can be identified. We argue that uncertainty is inherent to the grading process and investigate the value of grading by taking into account the underlying uncertainty. We develop a robust optimisation model for remanufacturing planning, where both the per-unit cost and resource requirement to remanufacture a core are uncertain parameters that are assumed to reside in two different uncertainty sets; box and ellipsoidal. We analyse both uncapacitated and capacitated cases, and based on extensive numerical analysis, conclude that while on average, there is still value in grading, it becomes significantly smaller when the inherent uncertainty is accounted for. For the capacitated case, we also consider a cost for grading and find that it may cause a significant deterioration in the value of grading, if not rendering the grading totally useless. We show the validity of our approach through extensive numerical analyses.
DOI
10.1080/00207543.2020.1711983
Cilt
59
