Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
Designing a Service System with Price- and Distance-Sensitive Demand : A case study in mining industry. / Hoseinpour, Pooya; Marand, Ata Jalili.
I: European Journal of Operational Research, Bind 303, Nr. 3, 12.2022, s. 1355-1371.Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
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TY - JOUR
T1 - Designing a Service System with Price- and Distance-Sensitive Demand
T2 - A case study in mining industry
AU - Hoseinpour, Pooya
AU - Marand, Ata Jalili
N1 - Publisher Copyright: © 2022 Elsevier B.V.
PY - 2022/12
Y1 - 2022/12
N2 - This study incorporates pricing decision into a congested facility location problem with immobile servers. The operations of facilities are modelled as queueing systems with price- and distance-sensitive streams of customer arrivals. Given a set of potential locations, a central service provider decides on the location of facilities, the allocation of customers to open facilities and also the service rate and price at each facility. The service provider’s profit maximization problem is investigated in two settings, i.e., continuous and discrete service rates, each representing a class of real-world problems. In either case, the resulting mixed-integer non-linear program is reformulated as a mixed-integer second-order cone program which enables us to solve it in a reasonable time using commercial software packages. To demonstrate the applicability of the proposed models, a real-world case in the mining industry is presented and solved.
AB - This study incorporates pricing decision into a congested facility location problem with immobile servers. The operations of facilities are modelled as queueing systems with price- and distance-sensitive streams of customer arrivals. Given a set of potential locations, a central service provider decides on the location of facilities, the allocation of customers to open facilities and also the service rate and price at each facility. The service provider’s profit maximization problem is investigated in two settings, i.e., continuous and discrete service rates, each representing a class of real-world problems. In either case, the resulting mixed-integer non-linear program is reformulated as a mixed-integer second-order cone program which enables us to solve it in a reasonable time using commercial software packages. To demonstrate the applicability of the proposed models, a real-world case in the mining industry is presented and solved.
KW - OR in service industries
KW - Pricing
KW - Queueing
KW - Service system design
KW - Mixed-integer second-order cone programming
KW - Integer nonlinear programming
UR - https://www.sciencedirect.com/science/article/pii/S0377221722002569
U2 - 10.1016/j.ejor.2022.03.032
DO - 10.1016/j.ejor.2022.03.032
M3 - Journal article
VL - 303
SP - 1355
EP - 1371
JO - European Journal of Operational Research
JF - European Journal of Operational Research
SN - 0377-2217
IS - 3
ER -