Issue |
RAIRO-Oper. Res.
Volume 53, Number 5, November-December 2019
Operations Research Applications in Industry
|
|
---|---|---|
Page(s) | 1551 - 1561 | |
DOI | https://doi.org/10.1051/ro/2019084 | |
Published online | 08 October 2019 |
The production planning problem of orders in small foundries
1
Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, Caixa Postal 668, São Carlos – SP, CEP 13560-970, Brazil
2
Departamento de Engenharia de Produção, Universidade Federal de São Carlos, Rodovia Washington Lus, km 235, São Carlos – SP-310, SP 13565-905, Brazil
* Corresponding author: gabisfurtado@gmail.com
Received:
8
October
2016
Accepted:
6
September
2019
The production planning problem in market-driven foundries consists of determining the alloys to be melted and the items to be produced. A production plan is defined based on the foundry book order that compiles customer requests. Each customer order can be composed of items of different types and made from different alloys. In the literature, production planning does not usually consider the customers’ orders, i.e., items are independently handled. However, in practical situations, several orders cannot be partially delivered. An order can be delivered only when all of its items have been produced, which often results in delays in meeting the customer demands. Conversely, some orders may be split, which would incur delivering costs. This paper addresses the production planning problem of orders in market-driven foundries, which is considered a gap in the literature. A mathematical model and a relax-and-fix heuristic are proposed to address the problem. An experimental evaluation using synthetic datasets and a real dataset compares the proposed methods with the practical policy planning and a state-of-the-art method that solve the production planning problem of items. The results demonstrate the relevance of the production planning of orders.
Mathematics Subject Classification: 90C11 / 68T20 / 90C90
Key words: Market-driven foundry / lot sizing / mixed integer programming / relax-and-fix heuristic
© EDP Sciences, ROADEF, SMAI 2019
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