Knowledge-based Approach for the Integration of the Planning and Scheduling Decision-making Levels

Zamarripa, Miguel; Coccola, Mariana Evangelina; Hjaila, Kefah; Silvente, Javier; Mendez, Carlos Alberto; Espuña, Antonio

info:eu-repo/semantics/article

Fecha

2013-06

Registro en:

Zamarripa, Miguel; Coccola, Mariana Evangelina; Hjaila, Kefah; Silvente, Javier; Mendez, Carlos Alberto; et al.; Knowledge-based Approach for the Integration of the Planning and Scheduling Decision-making Levels; AIDIC; Chemical Engineering Transactions; 32; 6-2013; 1339-1344

1974-9791

http://hdl.handle.net/11336/8782

Autor

Zamarripa, Miguel

Coccola, Mariana Evangelina

Hjaila, Kefah

Silvente, Javier

Mendez, Carlos Alberto

Espuña, Antonio

Institución

Consejo Nacional de Investigaciones Científicas y Tecnológicas (Argentina)

Resumen

This work aims to integrate the tactical and operational decision making levels. A typical Scheduling mixed integer linear programming (MILP) model has been solved using several demand scenarios. The results have been analyzed and accordingly the operation cost vs. production levels nonlinear equations have been obtained. The aforementioned equations have been included as constraints of the SC planning problem. Hence, production, inventory and distribution variables along the complete SC have been optimized using a NLP model.

Materias

Knowledge-Based Approach

Planning And Scheduling

Nlp Model

Supply Chain

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