Date: 13 April, 2018 Friday
\nTime: 13:40-14:40
\nPlace: Faculty of Business Administration,
\nUmit Berkman Seminar Room<\/p>\n
\u201cA profit-maximization location-capacity model for designing a service system with risk of service interruptions\u201d
\nBy
\nPooya Hoseinpour
\nPh.D. in Industrial Engineering & Management Systems
\nMcGill University<\/p>\n
Abstract:
\nThis paper considers the design of an immobile service system in which each facility\u2019s service process is subject to the risk of interruptions. The location-capacity decisions and allocations are simultaneously made to maximize the difference between the service provider\u2019s profit and the sum of customers\u2019 transportation and waiting costs. An efficient Lagrangian-based solution algorithm is developed, which solves large-sized instances with up to 50 service facilities and 500 customers in a few seconds. Several sensitivity analyses and managerial insights are presented. The model is also applied to a case study on a logistics network design problem in the zinc mining industry.<\/p>\n","protected":false},"excerpt":{"rendered":"
Date: 13 April, 2018 Friday Time: 13:40-14:40 Place: Faculty of Business Administration, Umit Berkman Seminar Room \u201cA profit-maximization location-capacity model for designing a service system with risk of service interruptions\u201d By Pooya Hoseinpour Ph.D. in Industrial Engineering & Management Systems McGill University Abstract: This paper considers the design of an [\u2026] <\/p>\n