Simultaneous optimisation of forward and reverse distribution processes with multiple types of reuse within an industrial tool supply chain

Martin Steinrücke and Michael Jahr

International Journal of Operational Research, 2018, vol. 32, issue 4, 397-420

Abstract: In this article, we present a quantitative approach for the simultaneous coordination of forward and reverse material flows which is motivated by a real-life case of an international supply chain network in the industrial tool industry. The objective is to optimise the quantitative supply chain network processes related to procurement, production and transportation. Moreover, we consider multiple types of reuse, including remanufacturing and recycling processes, in a medium-term planning horizon. To model the three echelon production-distribution network, mixed integer linear programming is used as it offers a modular modelling technique. The implementation of a quantitative plan in a complex business network structure requires a big-bucket model solution to grant the plan's stability via sufficient time buffers. The main contribution of the paper can be found in the combined remanufacturing and recycling in a quantitative planning model, when the interdependencies between new and used products are relevant and significant.

Keywords: transportation; distribution and logistics; procurement/purchasing processes; supply chain management; mathematical modelling. (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=93505 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:32:y:2018:i:4:p:397-420

Access Statistics for this article

More articles in International Journal of Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().