Uncertainty in Facility Location Problems [electronic resource] / edited by H. A. Eiselt, Vladimir Marianov.

9783031323386

1st ed. 2023.

Cham : Springer International Publishing : Imprint: Springer, 2023.

XXII, 431 p. 54 illus., 30 illus. in color.

Access is available to the Yale community.

Access restricted by licensing agreement.

This book deals with an often-neglected feature of location problems, namely uncertainty, by combining two related fields: location theory and optimization. Written by leading researchers and practitioners in these fields, each chapter examines one aspect of the location process in different contexts, such as supply chains; location decisions under congestion; disaster management; design of resilient facilities; uncertainty in the health sector; and facility location in the retail sector under uncertainty. The book also addresses methodological aspects, such as chance-constrained approaches, heuristic algorithms, scenario approaches, and simulation. As such, it provides decision-makers with essential methods, tools and approaches to help them deal with these uncertainties. It is mainly intended for graduate students in the fields of operations research and logistics, as well as professionals in logistics and supply chain management.

Springer ENIN.

Books / Online

English

October 03, 2023