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An interactive optimization system for bulk‐cargo ship scheduling

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  • Marshall L. Fisher
  • Moshe B. Rosenwein

Abstract

This article considers the efficient scheduling of a fleet of ships engaged in pickup and delivery of bulk cargoes. Our optimization system begins by generating a menu of candidate schedules for each ship. This menu can contain all feasible solutions, which guarantees we will find an optimal solution or can be heuristically limited to contain only those schedules likely to be in an optimal solution. The problem of choosing from this menu an optimal schedule for the fleet is formulated as a set‐packing problem and solved with a dual algorithm. Computational experience is presented based on real data obtained from the Military Sealift Command of the U. S. Navy. Run times for this data were reasonable and solutions were generated with the potential of saving up to about $30 million per year over the manual system currently in place. We also describe a color‐graphics interface developed to facilitate interaction with the optimization system.

Suggested Citation

  • Marshall L. Fisher & Moshe B. Rosenwein, 1989. "An interactive optimization system for bulk‐cargo ship scheduling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 36(1), pages 27-42, February.
    • Handle: RePEc:wly:navres:v:36:y:1989:i:1:p:27-42
    DOI: 10.1002/1520-6750(198902)36:13.0.CO;2-0
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    1. Kenneth L. Stott & Burnie W. Douglas, 1981. "A Model-Based Decision Support System for Planning and Scheduling Ocean-Borne Transportation," Interfaces, INFORMS, vol. 11(4), pages 1-10, August.
    2. Leif H. Appelgren, 1969. "A Column Generation Algorithm for a Ship Scheduling Problem," Transportation Science, INFORMS, vol. 3(1), pages 53-68, February.
    3. Lawrence E. Briskin, 1966. "Selecting Delivery Dates in the Tanker Scheduling Problem," Management Science, INFORMS, vol. 12(6), pages 224-235, February.
    4. Leif H. Appelgren, 1971. "Integer Programming Methods for a Vessel Scheduling Problem," Transportation Science, INFORMS, vol. 5(1), pages 64-78, February.
    5. J. Laderman & L. Gleiberman & J. F. Egan, 1966. "Vessel allocation by linear programming," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 13(3), pages 315-320, September.
    6. M. Bellmore & G. Bennington & S. Lubore, 1968. "A maximum utility solution to a vehicle constrained tanker scheduling problem," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 15(3), pages 403-411, September.
    7. Merrill M. Flood, 1954. "Application of Transportation Theory to Scheduling a Military Tanker Fleet," Operations Research, INFORMS, vol. 2(2), pages 150-162, May.
    8. FISHER, Marshall L. & WOLSEY, Laurence A., 1982. "On the greedy heuristic for continuous covering and packing problems," LIDAM Reprints CORE 505, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. C. A. Olson & E. E. Sorenson & W. J. Sullivan, 1969. "Medium-Range Scheduling for a Freighter Fleet," Operations Research, INFORMS, vol. 17(4), pages 565-582, August.
    10. M. D. McKay & H. O. Hartley, 1974. "Computerized scheduling of seagoing tankers," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 21(2), pages 255-264, June.
    11. Walter J. Bell & Louis M. Dalberto & Marshall L. Fisher & Arnold J. Greenfield & R. Jaikumar & Pradeep Kedia & Robert G. Mack & Paul J. Prutzman, 1983. "Improving the Distribution of Industrial Gases with an On-Line Computerized Routing and Scheduling Optimizer," Interfaces, INFORMS, vol. 13(6), pages 4-23, December.
    12. G. B. Dantzig & D. R. Fulkerson, 1954. "Minimizing the number of tankers to meet a fixed schedule," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 1(3), pages 217-222, September.
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    Cited by:

    1. Larry W. Jacobs & Michael J. Brusco, 1995. "Note: A local‐search heuristic for large set‐covering problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 42(7), pages 1129-1140, October.
    2. Jinming Liu & Guoting Zhang & Lining Xing & Weihua Qi & Yingwu Chen, 2022. "An Exact Algorithm for Multi-Task Large-Scale Inter-Satellite Routing Problem with Time Windows and Capacity Constraints," Mathematics, MDPI, vol. 10(21), pages 1-24, October.
    3. Marielle Christiansen & Kjetil Fagerholt, 2002. "Robust ship scheduling with multiple time windows," Naval Research Logistics (NRL), John Wiley & Sons, vol. 49(6), pages 611-625, September.
    4. Marielle Christiansen, 1999. "Decomposition of a Combined Inventory and Time Constrained Ship Routing Problem," Transportation Science, INFORMS, vol. 33(1), pages 3-16, February.

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