解算器
生产计划
时间范围
生产(经济)
汽车工业
调度(生产过程)
计算机科学
数学优化
运筹学
动态规划
期限(时间)
工业工程
工程类
算法
经济
数学
物理
量子力学
宏观经济学
航空航天工程
作者
Fernando Zanella,Clara B. Vaz
标识
DOI:10.1007/s42979-023-02261-7
摘要
Abstract This study proposes a framework for short-term production planning of a Portuguese company operating as a tier 2 supplier in the automotive sector. The framework is intended to support the decision-making process regarding a single progressive hydraulic press, which is used to manufacture cold-stamped parts for exhaust systems. The framework consists of two sequential levels: (1) a Mixed-Integer Linear Programming (MILP) model to determine the optimal production quantities per week while minimizing the total cost; (2) a dynamic production sequencing rule for scheduling operations on the hydraulic press. The two levels are combined and implemented in Excel, where the MILP model is solved using the Solver add-in, and the second level uses the optimal production quantities as inputs to determine the production sequence using a dynamic priority rule. To validate the framework, a proposed optimal plan was compared to a real plan executed by the company, and it was found that the framework could save up to 22.1% of the total cost observed in reality while still satisfying demand. To address uncertainties, the framework requires a rolling weekly planning horizon.
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