Scheduling parallel machines with single vehicle delivery |
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Authors: | Eray Cakici Scott J. Mason H. Neil Geismar John W. Fowler |
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Affiliation: | 1. IBM, Istanbul, Turkey 2. Department of Industrial Engineering, Clemson University, Clemson, SC, USA 3. Department of Information and Operations Management, Mays Business School, Texas A&M University, College Station, TX, USA 4. Department of Supply Chain Management, Arizona State University, Phoenix, AZ, USA
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Abstract: | We investigate the integrated production and distribution scheduling problem in a supply chain. The manufacturer’s production environment is modeled as a parallel machine system. A single capacitated vehicle is employed to deliver products in batches to multiple customers. The scheduling problem can also be viewed as either parallel machines with delivery considerations or a flexible flowshop. Different inventory holding costs, job sizes (volume or storage space required in the transportation unit), and job priorities are taken into account. Efficient mathematical modeling and near-optimal heuristic approaches are presented for minimizing total weighted completion time. |
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