Sample average approximation for multi-vehicle collection–disassembly problem under uncertainty

Abstract : The implementation of the circular economy is increasingly supported by many governments. It is performed by integrating the activities of reverse supply chain (RSC) into those of forward supply chain. However, many companies that traditionally focus on the activities of forward supply chain have decided to collaborate with third-party reverse logistics providers to manage the RSC. This collaboration motivates the work presented in this paper to propose better decisions for decision makers in the providers under the fact that integrating decisions of the collection of End-of-Life products and their disassembly process proposes a RSC with better performance. In this paper, an integrated problem concerning those decisions is presented and formalised. It also deals with the uncertainty of the quality and the quantity of products as well as the demands of the associated components. Two approximate methods are developed to provide the solutions.
Complete list of metadatas

Cited literature [31 references]  Display  Hide  Download

https://hal-emse.ccsd.cnrs.fr/emse-01987852
Contributor : Florent Breuil <>
Submitted on : Thursday, March 21, 2019 - 6:19:12 PM
Last modification on : Friday, April 12, 2019 - 1:32:14 AM
Long-term archiving on : Saturday, June 22, 2019 - 4:01:12 PM

File

Habibi2018IJPR.pdf
Files produced by the author(s)

Identifiers

Citation

Muh. Khoirul Khakim Habibi, Olga Battaïa, Van-Dat Cung, Alexandre Dolgui, Manoj Kumar Tiwari. Sample average approximation for multi-vehicle collection–disassembly problem under uncertainty. International Journal of Production Research, Taylor & Francis, 2019, 57 (8), pp.2409-2428. ⟨10.1080/00207543.2018.1519262⟩. ⟨emse-01987852⟩

Share

Metrics

Record views

291

Files downloads

119