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Optimal production schedule of a multi-site manufacturing facility. Open 'Optimal Production Schedule.ipynb' for a complete walk-through.

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ProductionScheduling

Optimal production schedule of a multi-site manufacturing facility.
Open 'Optimal Production Schedule.ipynb' for a complete walk-through.

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Objective

The objective is to minimize the total cost of the production process by creating an optimal production schedule. The constraints in this process arise out of the bottlenecks created in each of these sites. Gopalakrishnan et al. (1995) discuss the solution strategy that is needed to tackle such a problem. All required data is obtained from Gnoni et al. (2003).

Available Data

The following data is available (Gnoni et al., 2003):

  1. Per day inventory cost for each of the nine products and process intermediates.
  2. Demand of each end-user product at the end of one year.
  3. Fixed cost asoociated with the production of each of the nine products and process intermediates.
  4. Time required for production of each product.
  5. Total time of the day for which processes run.

About GAMS

GAMS is one of the leading tool providers for the optimization industry and was the first software system to combine the language of mathematical algebra with traditional programming concepts in order to efficiently describe and solve optimization problems. Reference: https://www.gams.com/

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Optimal production schedule of a multi-site manufacturing facility. Open 'Optimal Production Schedule.ipynb' for a complete walk-through.

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