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

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 equati...

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Main Authors: M. Zamarripa, M. Coccola, K. Hjaila, J. Silvente, C.A. Mendez, A. Espuna
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2013-06-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/6618
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author M. Zamarripa
M. Coccola
K. Hjaila
J. Silvente
C.A. Mendez
A. Espuna
author_facet M. Zamarripa
M. Coccola
K. Hjaila
J. Silvente
C.A. Mendez
A. Espuna
author_sort M. Zamarripa
collection DOAJ
description 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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spelling doaj.art-8f07b1ace4a44ed5a54c949e7fe173e32022-12-21T17:22:11ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162013-06-013210.3303/CET1332224Knowledge-based Approach for the Integration of the Planning and Scheduling Decision-making LevelsM. ZamarripaM. CoccolaK. HjailaJ. SilventeC.A. MendezA. EspunaThis 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.https://www.cetjournal.it/index.php/cet/article/view/6618
spellingShingle M. Zamarripa
M. Coccola
K. Hjaila
J. Silvente
C.A. Mendez
A. Espuna
Knowledge-based Approach for the Integration of the Planning and Scheduling Decision-making Levels
Chemical Engineering Transactions
title Knowledge-based Approach for the Integration of the Planning and Scheduling Decision-making Levels
title_full Knowledge-based Approach for the Integration of the Planning and Scheduling Decision-making Levels
title_fullStr Knowledge-based Approach for the Integration of the Planning and Scheduling Decision-making Levels
title_full_unstemmed Knowledge-based Approach for the Integration of the Planning and Scheduling Decision-making Levels
title_short Knowledge-based Approach for the Integration of the Planning and Scheduling Decision-making Levels
title_sort knowledge based approach for the integration of the planning and scheduling decision making levels
url https://www.cetjournal.it/index.php/cet/article/view/6618
work_keys_str_mv AT mzamarripa knowledgebasedapproachfortheintegrationoftheplanningandschedulingdecisionmakinglevels
AT mcoccola knowledgebasedapproachfortheintegrationoftheplanningandschedulingdecisionmakinglevels
AT khjaila knowledgebasedapproachfortheintegrationoftheplanningandschedulingdecisionmakinglevels
AT jsilvente knowledgebasedapproachfortheintegrationoftheplanningandschedulingdecisionmakinglevels
AT camendez knowledgebasedapproachfortheintegrationoftheplanningandschedulingdecisionmakinglevels
AT aespuna knowledgebasedapproachfortheintegrationoftheplanningandschedulingdecisionmakinglevels