The production planning problem of orders in small foundries

2019 ◽  
Vol 53 (5) ◽  
pp. 1551-1561
Author(s):  
Maria Gabriela S. Furtado ◽  
Victor C. B. Camargo ◽  
Franklina M. B. Toledo

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.

Algorithms ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 143 ◽  
Author(s):  
Kamal ◽  
Gupta ◽  
Chatterjee ◽  
Pamucar ◽  
Stevic

This paper deals with the modeling and optimization of a bi-level multi-objective production planning problem, where some of the coefficients of objective functions and parameters of constraints are multi-choice. A general transformation technique based on a binary variable has been used to transform the multi-choices parameters of the problem into their equivalent deterministic form. Finally, two different types of secularization technique have been used to achieve the maximum degree of individually membership goals by minimizing their deviational variables and obtained the most satisfactory solution of the formulated problem. An illustrative real case study of production planning has been discussed and, also compared to validate the efficiency and usefulness of the proposed work.


2020 ◽  
Vol 124 ◽  
pp. 105068
Author(s):  
Tao Wu ◽  
Zhongshun Shi ◽  
Zhe Liang ◽  
Xiaoning Zhang ◽  
Canrong Zhang

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