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Scheduling efficiencies of Farm-to-plant milk collection in Western Ohio

Author

Listed:
  • Russell T. Coltman

    (Department of Agricultural Economics and Rural Sociology, The Ohio State University)

  • Gary D. Schnitkey

    (Department of Agricultural Economics and Rural Sociology, The Ohio State University)

  • Mario J. Miranda

    (Department of Agricultural Economics and Rural Sociology, The Ohio State University)

Abstract

We examined the efficiency of farm-to-plant milk collection in western Ohio. Results suggest that mileage reductions of 10% are possible by reordering farm stops while collecting loads of milk. A further 3% reduction is possible by moving dairy farms between loads. When examining efficiencies, guaranteed lowest mileage (GLM) and heuristic algorithms were used to generate schedules. Heuristic algorithms account for about 80% of the mileage reductions identified by GLM algorithms. GLM algorithms are computationally feasible for ordering farm stops while collecting milk loads. However, heuristic algorithms must be relied on for moving dairy farms between loads.

Suggested Citation

  • Russell T. Coltman & Gary D. Schnitkey & Mario J. Miranda, 1994. "Scheduling efficiencies of Farm-to-plant milk collection in Western Ohio," Agribusiness, John Wiley & Sons, Ltd., vol. 10(2), pages 179-191.
    • Handle: RePEc:wly:agribz:v:10:y:1994:i:2:p:179-191
    DOI: 10.1002/1520-6297(199403/04)10:2<179::AID-AGR2720100207>3.0.CO;2-L
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    References listed on IDEAS

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