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- W4283032482 abstract "For many years, the decision-making process has been based on a human factor and the foreman’s know-how, what was error prone. Nowadays production processes are more and more complex. The company that wants to be competitive in the market must take under consideration many factors and basing on human factor only is not efficient at all. The paper presents the production scheduling optimization problem in the furniture company. Until now, company engineers used to schedule production based on customers’ orders and their know-how. The problem was that customers make orders at various times with fixed deadlines, and for the company, it is profitable to group customers’ orders together. Wise order scheduling makes a significant difference in total production time and cost. In the paper, the use of a greedy algorithm, Simulated Annealing, and Tabu Search algorithms to verify the current method of production process scheduling and improve the process has been proposed." @default.
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- W4283032482 date "2022-06-18" @default.
- W4283032482 modified "2023-10-14" @default.
- W4283032482 title "Solving Manufacturing Orders Scheduling Problem Using Annealing Simulation" @default.
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- W4283032482 doi "https://doi.org/10.1007/978-3-031-09382-1_25" @default.
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