• Multi-level production plannin...

Result: Multi-level production planning in a petrochemical industry using elitist Teaching―Learning-Based-Optimization

Title:
Multi-level production planning in a petrochemical industry using elitist Teaching―Learning-Based-Optimization
Authors:
KADAMBUR, Rajasekhar, KOTECHA, Prakash
Source:
Expert systems with applications. 42(1):628-641
Publisher Information:
Amsterdam: Elsevier, 2015.
Publication Year:
2015
Physical Description:
print, 3/4 p
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Generalites, General aspects, Formation professionnelle. Personnel. Organisation du travail, Occupational training. Personnel. Work management, Recherche operationnelle. Gestion, Operational research. Management science, Recherche opérationnelle et modèles formalisés de gestion, Operational research and scientific management, Flots dans les réseaux. Problèmes combinatoires, Flows in networks. Combinatorial problems, Gestion des stocks, gestion de la production. Distribution, Inventory control, production control. Distribution, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Informatique théorique, Theoretical computing, Algorithmique. Calculabilité. Arithmétique ordinateur, Algorithmics. Computability. Computer arithmetics, Algorithme apprentissage, Learning algorithm, Algoritmo aprendizaje, Algorithme évolutionniste, Evolutionary algorithm, Algoritmo evoluciónista, Bénéfice, Profit, Beneficio, Choix procédé, Process selection, Selección proceso, Elitisme, Elitism, Gestion production, Production management, Gestión producción, Industrialisation, Industrialization, Industrialización, Industrie pétrochimique, Petrochemical industry, Industria petroquímica, Méthode heuristique, Heuristic method, Método heurístico, Optimisation combinatoire, Combinatorial optimization, Optimización combinatoria, Planification production, Production planning, Programación producción, Processus fabrication, Production process, Proceso fabricación, Production multiple, Multiple production, Producción múltiple, Programmation partiellement en nombres entiers, Mixed integer programming, Programación mixta entera, Salle cours, Classroom, Aula clase, Teaching Learning Based Optimization
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
Department of Chemical Engineering, Indian Institute of Technology Guwahati, Guwahati 781 039, Assam, India
ISSN:
0957-4174
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=28843429
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

Economy. Legislation. Training. Society

Operational research. Management
Accession Number:
edscal.28843429
Database:
PASCAL Archive

Further Information

The complex nature of the petrochemical industries necessitates an efficient decision on a large number of factors so as to optimally operate a plant. Production planning is an integral part of the petrochemical industry and requires the optimal selection of processes, production levels and products to maximize its profit. Previously an MILP formulation has been proposed for guiding the petrochemical industry development in Saudi Arabia (Alfares & Al-Amer, 2002). In this article, we state the limitations of this formulation and propose an alternate elitist TLBO algorithm based strategy to overcome them. The benefits of this strategy include the determination of better production plans that lead to higher profits and have been demonstrated on the eight case studies in the literature. The proposed strategy is generic and can be applied to determine production plans of multiple levels in various industries.