Distributionally robust facility location problem under decision-dependent stochastic demand

Basciftci, Beste; Ahmed, Shabbir; Shen, Siqian

doi:10.1016/j.ejor.2020.11.002

Distributionally robust facility location problem under decision-dependent stochastic demand

Journal Article · Tue Nov 10 00:00:00 EST 2020 · European Journal of Operational Research

DOI:https://doi.org/10.1016/j.ejor.2020.11.002· OSTI ID:1735793

Basciftci, Beste ^[1]; Ahmed, Shabbir ^[2]; ^[3]

Sabanci Univ., Istanbul (Turkey); University of Michigan, Ann Arbor, MI
Georgia Inst. of Technology, Atlanta, GA (United States).
Univ. of Michigan, Ann Arbor, MI (United States)

While the traditional facility location problem considers exogenous demand, in some applications, locations of facilities could affect the willingness of customers to use certain types of services, e.g., carsharing, and therefore they also affect realizations of random demand. Moreover, a decision maker may not know the exact distribution of such endogenous demand and how it is affected by location choices. In this paper, we consider a distributionally robust facility location problem, in which we interpret the moments of stochastic demand as functions of facility-location decisions. We reformulate a two-stage decision-dependent distributionally robust optimization model as a monolithic formulation, and then derive exact mixed-integer linear programming reformulation as well as valid inequalities when the means and variances of demand are piecewise linear functions of location solutions. We conduct extensive computational studies, in which we compare our model with a decision-dependent deterministic model, as well as stochastic programming and distributionally robust models without the decision-dependent assumption. Here, the results show superior performance of our approach with remarkable improvement in profit and quality of service under various settings, in addition to computational speed-ups given by formulation enhancements. These results draw attention to the need of considering the impact of location decisions on customer demand within this strategic-level planning problem.

View Accepted Manuscript (DOE)

Research Organization:: Univ. of Michigan, Ann Arbor, MI (United States)

Sponsoring Organization:: National Science Foundation; USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)

Grant/Contract Number:: SC0018018

OSTI ID:: 1735793

Journal Information:: European Journal of Operational Research, Journal Name: European Journal of Operational Research Journal Issue: 2 Vol. 292; ISSN 0377-2217

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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