117. COULD COMPANIES GAIN A COMPETITIVE ADVANTAGE WITH DAYLIGHT-ORIENTED WORKING TIME MODELS?
Invited abstract in session TC-46: Decarbonizing the industry and heating sectors, stream Energy Economics & Management.
Tuesday, 12:30-14:00Room: Newlyn 1.07
Authors (first author is the speaker)
| 1. | Michael Schlicker
|
| Institut of Production Management, Technical University of Chemnitz |
Abstract
The expansion of solar energy leads to energy surpluses in the summer, with a drop in energy prices, while solar production collapses in the winter. Therefore, it is discussed under which conditions daylight-oriented worktime models with seasonal energy prices can improve the economic competitiveness of companies.
For this purpose, an extension of the general lot sizing and sequencing problem is formulated, considering time- and load-variable energy prices, seasonal worktime models and energy tied up in inventory. To test our hypothesis simulations of these models were run for both in plastic injection molding and aluminum die casting production. The model is designed for a complete annual cycle of manufacturing. To evaluate the effectiveness, preliminary costing, lot sizing and sequencing planning with multiple objective functions are compared against a discrete-time production simulation.
The results of the simulation of production (plastic or metal) show that seasonal working hours and energy price models, together with energy-oriented lot size and sequence planning, can reduce overall costs compared to the industry standard. Peak loads can be avoided, and energy can be shifted across inventories. Energy costs in the scenarios fall by up to 35% compared to the industry standard and unit costs by up to 22%. Inventory allows the loss-free intermediate storage and later use of 16.8% of the total annual energy consumption.
Keywords
- Capacity Planning
- Scheduling
- Programming, Mixed-Integer
Status: accepted
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