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Computational experience with an algorithm for the lock box problem

Published:27 August 1973Publication History

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.

References

  1. 1.Benders, J. F., "Partitioning Procedures for Solving Mixed-Variables Programming Problems", Numerische Mathematik, Vol. 4, pp. 238-252 (1962).Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 2.Bulfin, R. L., "An Algorithm for the Plant Location Problem", Unpublished Master's Thesis, School of Industrial and Systems Engineering, Georgia Institute of Technology, 1972.Google ScholarGoogle Scholar
  3. 3.Ciochetto, F. F., Swanson, H. S., Lee, J. R. and Woolsey, R. E. D., "The Lock Box Problem and Some Startling But True Computational Results for Large Scale Systems", presented at the 41st National Meeting of the Operations Research Society of America, April 1972.Google ScholarGoogle Scholar
  4. 4.Ellwein, L. B., "Fixed Charge Location—Allocation Problems with Capacity and Configuration Constraints", Stanford University Department of Industrial Engineering Technical Report 70-2 (1970).Google ScholarGoogle Scholar
  5. 5.Geoffrion, A. M., "Integer Programming by Implicit Enumeration and Balas' Method", SIAM Review, Vol. 9, pp. 178-190 (1967).Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. 6.Levy, F. K., "An Application of Heuristic Problem Solving to Accounts Receivable Management", Management Science, Vol. 12, pp. 236-244 (1966).Google ScholarGoogle ScholarDigital LibraryDigital Library

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        cover image ACM Conferences
        ACM '73: Proceedings of the ACM annual conference
        August 1973
        472 pages
        ISBN:9781450374903
        DOI:10.1145/800192

        Copyright © 1973 ACM

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        Publication History

        • Published: 27 August 1973

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