Computational experience with an algorithm for the lock box problem
暂无分享,去创建一个
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.
[1] A. M. Geoffrion. Integer Programming by Implicit Enumeration and Balas’ Method , 1967 .
[2] P. Gray,et al. Solving Fixed Charge Location-Allocation Problems with Capacity and Configuration Constraints , 1971 .
[3] Robert Lee Bulfin. An algorithm for the plant location problem , 1972 .
[4] Ferdinand K. Levy,et al. An Application of Heuristic Problem Solving to Accounts Receivable Management , 1966 .