Dynamic Planning of Facility Locations with Benefits from Multitype Facility Colocation
Dynamic Planning of Facility Locations with Benefits from Multitype Facility Colocation
复制标题
受益于多类型设施托管的设施位置动态规划
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Y. Ouyang
中科院分区：
文献类型：
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作者：
Weijun Xie;Y. Ouyang
本文提出了一个多类型设施托管问题的混合整数规划模型，该问题具有多周期范围内的容量扩展。这个问题是由新兴的美国生物燃料行业推动的，该行业正在迅速扩大其基础设施，以从农作物中生产生物乙醇。每种类型的设施（例如，基于玉米或纤维素的生物精炼）需要不同类型的原料（例如，玉米或多年生草），但它们产生相同的最终产品（例如，生物乙醇），多种类型的设施托管由于互补的生产工艺和副产品回收而带来成本节约效益。多种解决方案（即，拉格朗日松弛，Benders分解，加速Benders分解）被提出来解决这个问题。数值实验表明，加速Benders分解在短时间内最有效地解决了大型问题。各种管理见解也来自计算结果。
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.