Computational experience with an algorithm for the lock box problem

R. Bulfin, V. Unger
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引用次数: 11

Abstract

The lock box problem involves the location of post office boxes within a company's distribution area. Customer remittances are mailed to these boxes and the checks are processed by a local bank. The problem is to locate the boxes in a way that will minimize processing cost and the opportunity costs associated with the remittances while in transit (float costs). For m potential lock box locations and n customer groups, the problem can be formulated as a zero-one integer programming problem with mn + n variables and m + n constraints. The problem, however, can be partitioned in a way that results in a zero-one integer programming problem with only m variables. Once values have been established for these m variables, values for the remaining mn zero-one variables can be determined by a trivial process. Thus the problem reduces to determining values for the m zero-one variables. This is accomplished by an implicit enumeration procedure. Computational results are reported for problems involving up to 5050 variables.
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锁箱问题算法的计算经验
锁箱问题涉及到公司配送区域内邮局信箱的位置。客户汇款被邮寄到这些盒子里,支票由当地银行处理。问题是如何定位汇款箱,以使处理成本和与汇款在运输过程中相关的机会成本(浮动成本)降到最低。对于m个潜在的锁箱位置和n个客户群体,可以将问题表述为具有mn + n个变量和m + n个约束的0 - 1整数规划问题。然而,这个问题可以通过一种方式进行划分,从而导致只有m个变量的0 - 1整数规划问题。一旦确定了这m个变量的值,剩下的mn个0 - 1变量的值就可以通过一个简单的过程来确定。因此,问题简化为确定m个0 - 1变量的值。这是通过隐式枚举过程实现的。报告了涉及多达5050个变量的问题的计算结果。
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