An Effective Mathematical Model for Advanced Planning and Scheduling in Multi-Plant Chain

Miguel Fernández

An Effective Mathematical Model for Advanced Planning and Scheduling in Multi-Plant Chain

Miguel Fernández

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

This work addresses the advanced planning and scheduling problem. This problem is an extension of the Flow Shop, Job Shop, Flexible Job Shop, and Integrated Resource Selection and Operation Sequences problems, being its main characteristics the precedence relationship between operations that are part of customer orders, the batch size of the orders, the flexibility of the machines, which are in different plants. In order to solve the problem, a mixed-integer linear programming model is proposed, which seeks to minimize the makespan. The computational results show that the mathematical model was able to solve the cases or instances generated in a satisfactory way.

Idioma original	Español
Título de la publicación alojada	20th LACCEI International Multi-Conference for Engineering, Education, and Technology
Estado	Publicada - 1 ene. 2022

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abstract = "This work addresses the advanced planning and scheduling problem. This problem is an extension of the Flow Shop, Job Shop, Flexible Job Shop, and Integrated Resource Selection and Operation Sequences problems, being its main characteristics the precedence relationship between operations that are part of customer orders, the batch size of the orders, the flexibility of the machines, which are in different plants. In order to solve the problem, a mixed-integer linear programming model is proposed, which seeks to minimize the makespan. The computational results show that the mathematical model was able to solve the cases or instances generated in a satisfactory way.",

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N2 - This work addresses the advanced planning and scheduling problem. This problem is an extension of the Flow Shop, Job Shop, Flexible Job Shop, and Integrated Resource Selection and Operation Sequences problems, being its main characteristics the precedence relationship between operations that are part of customer orders, the batch size of the orders, the flexibility of the machines, which are in different plants. In order to solve the problem, a mixed-integer linear programming model is proposed, which seeks to minimize the makespan. The computational results show that the mathematical model was able to solve the cases or instances generated in a satisfactory way.

AB - This work addresses the advanced planning and scheduling problem. This problem is an extension of the Flow Shop, Job Shop, Flexible Job Shop, and Integrated Resource Selection and Operation Sequences problems, being its main characteristics the precedence relationship between operations that are part of customer orders, the batch size of the orders, the flexibility of the machines, which are in different plants. In order to solve the problem, a mixed-integer linear programming model is proposed, which seeks to minimize the makespan. The computational results show that the mathematical model was able to solve the cases or instances generated in a satisfactory way.

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M3 - Contribución a la conferencia

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