Two-phase heuristics for a multi-period capacitated facility location problem with service-differentiated customers
Christophe Sauvey,
Teresa Melo and
Isabel Correia
No 16, Technical Reports on Logistics of the Saarland Business School from Saarland University of Applied Sciences (htw saar), Saarland Business School
Abstract:
We investigate a recently introduced extension of the multi-period facility location problem that considers service-differentiated customer segments. Accordingly, some customers require their demands to be met on time, whereas the remaining customers accept delayed deliveries as long as lateness does not exceed a pre-specified threshold. In this case, late shipments can occur at most once over the delivery lead time, i.e. an order cannot be split over several time periods. At the beginning of the multi-period planning horizon, a number of facilities are in place with given capacities. A finite set of potential facility sites with multiple capacity levels is also available. The objective is to find the optimal locations and the opening, resp. closing, schedule for new, resp. existing, facilities that provide sufficient capacity to satisfy all customer demands at minimum cost. In this paper, we propose four heuristics that construct initial solutions to this problem and subsequently explore their neighborhoods via different local improvement mechanisms. Computational results with randomly generated instances demonstrate the effectiveness of the proposed heuristics. While a general-purpose mixed-integer programming solver fails to find feasible solutions to some instances within a given time limit, the heuristics provide good solutions to all instances already during the constructive phase and in significantly shorter computing times. During the improvement phase, the solution quality is further enhanced. For nearly one-fifth of the instances, the heuristic solutions outperform the best solutions identified by the solver.
Keywords: facility location; multi-period; delivery lateness; constructive heuristics; local improvements (search for similar items in EconPapers)
Date: 2019
New Economics Papers: this item is included in nep-cmp
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.econstor.eu/bitstream/10419/195071/1/1662854331.pdf (application/pdf)
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:zbw:htwlog:16
Access Statistics for this paper
More papers in Technical Reports on Logistics of the Saarland Business School from Saarland University of Applied Sciences (htw saar), Saarland Business School Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().