Treffer: MULTI-OBJECTIVE RESCHEDULING MODEL FOR PRODUCT COLLABORATIVE DESIGN CONSIDERING DISTURBANCE

Title:
MULTI-OBJECTIVE RESCHEDULING MODEL FOR PRODUCT COLLABORATIVE DESIGN CONSIDERING DISTURBANCE
Authors:
YU, G. D, YANG, Y, ZHAO, X, LI, G
Source:
International journal of simulation modelling. 13(4):472-484
Publisher Information:
Vienna: DAAAM International Vienna, 2014.
Publication Year:
2014
Physical Description:
print, 25 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Recherche operationnelle. Gestion, Operational research. Management science, Recherche opérationnelle et modèles formalisés de gestion, Operational research and scientific management, Théorie de la décision. Théorie de l'utilité, Decision theory. Utility theory, Ordonnancement, Scheduling, sequencing, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Conception assistée, Computer aided design, Genie mecanique. Construction mecanique, Mechanical engineering. Machine design, Généralités, General, Adaptabilité, Adaptability, Adaptabilidad, Algorithme adaptatif, Adaptive algorithm, Algoritmo adaptativo, Aérogénérateur, Wind generator, Generador aire, Codage adaptatif, Adaptive coding, Codificación adaptativa, Conception ingénierie, Engineering design, Concepción ingeniería, Conception intégrée, Integrated design, Concepción integrada, Cycle développement, Life cycle, Ciclo desarrollo, Entreprise, Firm, Empresa, Gestion événement, Event management, Gestión aconticimiento, Ingénierie simultanée, Concurrent engineering, Ingeniería simultánea, Modélisation, Modeling, Modelización, Mutation, Mutación, Ordonnancement, Scheduling, Reglamento, Prise de décision, Decision making, Toma decision, Programmation dynamique, Dynamic programming, Programación dinámica, Programmation multiobjectif, Multiobjective programming, Programación multiobjetivo, Retard, Delay, Retraso, Système aide décision, Decision support system, Sistema ayuda decisíon, Système réactif, Reactive system, Sistema reactivo, Temps total achèvement, Makespan, Tiempo total acabamiento, Algorithm, Disturbance, Multi-Objective Optimization, Product Collaborative Design, Rescheduling Problem
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China
Qingdao Cigarette Factor, China Tobacco Shandong Industrial Corporation, Qingdao, China
ISSN:
1726-4529
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=29032150
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

Mechanical engineering. Mechanical construction. Handling

Operational research. Management
Accession Number:
edscal.29032150
Database:
PASCAL Archive

Weitere Informationen

Disturbance is inevitable in product collaborative design (PCDSP), which has always posed a great challenge for enterprises making quick response. Thus, in the paper, a multi-objective rescheduling model and its solution algorithm are presented. Disturbance cases are analysed and dynamic scheduling procedure based on event-driven and lifecycle-driven is developed firstly. Then a multi-objective rescheduling model aiming to minimum the makespan and tardiness penalty is developed. As a solution, multi-objective dynamic adaptive scheduling algorithm (MODASA), based on bi-layer coding strategy, self-adaptive double point crossover and self-adaptive mutation, is proposed following closely. Finally, analytic results from a case of a wind turbine are used to illustrate the model and method proposed in this paper. Simulation results shows that the model and algorithm have full advantages in computing speed and precision. With the analysis, it can provide insight into ways of improving the strategic and operational decision making for enterprises.