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

Article

Authorship
Zamarripa, Miguel ; COCCOLA, MARIANA EVANGELINA ; Hjaila, Kefah ; Silvente, Javier ; MENDEZ, CARLOS ALBERTO ; Espuña, Antonio
Date
2013
Publishing House and Editing Place
AIDIC
Magazine
Chemical Engineering Transactions, vol. 32 (pp. 1339-1344) - ISSN 1974-9791
AIDIC
ISSN
1974-9791
Summary Information provided by the agent in SIGEVA
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 b... 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.
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Key Words
Supply ChainNLP ModelPlanning and SchedulingKnowledge-based Approach
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