Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Dynamic Planning of Facility Locations with Benefits from Multitype Facility Colocation
This article presents a mixed‐integer programming model for a multitype facility colocation problem with capacity expansion over a multiperiod horizon. This problem is motivated by the emerging U.S. biofuel industry that is rapidly expanding its infrastructure facilities to produce bioethanol from agricultural crops. Each type of facility (e.g., corn‐ or cellulose‐based biorefinery) requires a different type of raw material (e.g., corn or perennial grass), but they produce the same final product (e.g., bioethanol), and colocation of multiple types of facilities results in cost‐saving benefits due to complementary production process and byproduct recycling. Multiple solution approaches (i.e., Lagrangian relaxation, Benders decomposition, and accelerated Benders decomposition) are proposed to solve this problem. Numerical experiments show that accelerated Benders decomposition most effectively solves large‐sized problems in a short amount of time. Various managerial insights are also drawn from the computational results.
Dynamic Planning of Facility Locations with Benefits from Multitype Facility Colocation
This article presents a mixed‐integer programming model for a multitype facility colocation problem with capacity expansion over a multiperiod horizon. This problem is motivated by the emerging U.S. biofuel industry that is rapidly expanding its infrastructure facilities to produce bioethanol from agricultural crops. Each type of facility (e.g., corn‐ or cellulose‐based biorefinery) requires a different type of raw material (e.g., corn or perennial grass), but they produce the same final product (e.g., bioethanol), and colocation of multiple types of facilities results in cost‐saving benefits due to complementary production process and byproduct recycling. Multiple solution approaches (i.e., Lagrangian relaxation, Benders decomposition, and accelerated Benders decomposition) are proposed to solve this problem. Numerical experiments show that accelerated Benders decomposition most effectively solves large‐sized problems in a short amount of time. Various managerial insights are also drawn from the computational results.
Dynamic Planning of Facility Locations with Benefits from Multitype Facility Colocation
Xie, Weijun (Autor:in) / Ouyang, Yanfeng (Autor:in)
Computer‐Aided Civil and Infrastructure Engineering ; 28 ; 666-678
01.10.2013
13 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Dynamic Planning of Facility Locations with Benefits from Multitype Facility Colocation
| Online Contents | 2013
Multitype Recharge Facility Location for Electric Vehicles
| Wiley | 2018
British Library Online Contents | 2016
FACILITY PLANNING SUPPORT SYSTEM, FACILITY PLANNING SUPPORT METHOD, AND PROGRAM
| Europäisches Patentamt | 2024
Hosting or Colocation Data Centers
| Wiley | 2014