Date: 13 April, 2018 Friday
\nTime: 13:40-14:40
\nPlace: Faculty of Business Administration,
\nUmit Berkman Seminar Room <\/p>\n
“A profit-maximization location-capacity model for designing a service system with risk of service interruptions”
\nBy
\nPooya Hoseinpour
\nPh.D. in Industrial Engineering & Management Systems
\nMcGill University <\/p>\n
Abstract:<\/strong> Date: 13 April, 2018 Friday Time: 13:40-14:40 Place: Faculty of Business Administration, Umit Berkman Seminar Room “A profit-maximization location-capacity model for designing a service system with risk of service interruptions” By Pooya Hoseinpour Ph.D. in Industrial Engineering & Management Systems McGill University Abstract: This paper considers the design of an [\u2026] <\/p>\n
\nThis paper considers the design of an immobile service system in which each facility’s 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’s profit and the sum of customers’ 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":"