Multiperiode outline
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This document discusses optimizing purchases, supply, stocks, recipes, and accounting for price uncertainty across multiple periods with constraints. It presents different scenarios for optimization, including a single market with multiple factories, multiple markets with multiple factories, and constraints that can be applied, such as minimum/maximum purchases or sales. The goal is to optimize decision making around when and how much of each raw material to buy per period.
Multiperiode outline
- 1. Optimisation of purchases, supply, stocks, recipes over various periods with constraints on the variation of the recipe composition and accounting for future price uncertainty in a single optimisation Frits Fredrick Radar Automation
- 2. Factory1 Factory3 Factory2 Market2 wheat Market1 wheatSales 1&2 wheat Sales3 wheat Consumption 1 wheat Consumption 3 wheat Consumption 2 wheat Purchase 1->1 wheat Purchase 1->2 wheat Purchase 2->2 wheat Purchase 2->3 wheatReport1 wheat Report3 wheat Report2 wheat Generic outline
- 3. Factory1 Factory3 Factory2 Market2 wheat Market1 wheat Sales2 wheat Market3 wheat Consumption 1 wheat Consumption 3 wheat Consumption 2 wheat Purchase 1->1 wheat Purchase 2->2 wheat Purchase 3->3 wheat Sales1 wheat Sales3 wheat Report1 wheat Report3 wheat Report2 wheat Scenario with purchase per factory
- 4. Factory1 Factory3 Factory2 Market wheat Sales wheat Consumption 1 wheat Consumption 3 wheat Consumption 2 wheat Purchase ->1 wheat Purchase ->2 wheat Purchase ->3 wheat Report1 wheat Report3 wheatReport2 wheat Scenario with single market, supply per factory
- 5. Which outline fits with your business? Single market, single fatory Single market, multiple factories (price per factory) Multiple markets, multiple factories (many on many)
- 6. Input for each location (period) Formula Tonnage Raw material Initial availability Stock cost Factories Raw material Availability Markets
- 7. Input for each flux (per period/ per raw material) Price or cost Minimum and maximum Market Factory Market, sales
- 8. Possible logistic constraints for each period • Minimum/maximum purchase or sales, for each raw material or for each purchase group • Minimum/maximum availability on the market for each raw material or purchase group • Minimum/maximum supply for each raw material to each factory • Minimum/maximum consumption for each raw material, in each factory • Minimum/maximum stock for each raw material or raw material group and for each factory
- 9. Possible constraints for each recipe and period • Minimum/maximum on the incorporation of each raw • Minimum/maximum on the increase/decrease on each raw material with respect to the incorporation of the previous period • Minimum/maximum on the nutritional value of each nutrient • Minimum/maximum on the increase/decrease on each nutrient with respect to its value in the previous period
- 10. Output for each location (period) Raw material Consumption Stock Formula Price Factory Raw material Purchase Quantity sold Market
- 14. Optimise decision making : when and how many to buy of each raw material (overview of purchases per period)
- 15. In the following case studies, we used the following outline: a single market, with a restricted availability for some raw materials per period on the market, purchase prices per factory and per period, limited stock capacity for some raw materials, limited supply capacity for some raw materials and factories, limited capacity to consume some raw materials in some factories,
- 16. Optimise decision making : when and how many to buy of each raw material (raw material supply and consumption per factory and per per period)
- 17. Optimise decision making : when and how many to buy of each raw material (logistic constraints)
- 18. Anticipate on future prices when applying tolerances : optimising without tolerances
- 19. Accounting for the tolerances on maize (-5%,+5%) when optimising : anticipate on the price decrease in october, therefore a less pronounced decline in summer