A Fuzzy-Multicritaria Based Approach for Job Sequencing and Routing In Flexible Manufacturing System FMS

α
Abdullah Al Mamun
Abdullah Al Mamun
σ
Dr. Ziaul Hassan
Dr. Ziaul Hassan
ρ
Nabila Chowdhury
Nabila Chowdhury
Ѡ
Abdullah-Al-Mamun
Abdullah-Al-Mamun
¥
Dr. A.K.M. Masud
Dr. A.K.M. Masud
α Bangladesh University of Engineering and Technology Bangladesh University of Engineering and Technology

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A Fuzzy-Multicritaria Based Approach for Job Sequencing and Routing In Flexible Manufacturing System FMS

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Abstract

Flexible manufacturing systems (FMS) are production systems consisting of identical multipurpose numerically controlled machines (workstations), automated material handling system, tools, loading and unloading stations, inspection stations, storage areas and a hierarchical control system. Job sequencing and routing are fundamental components of FMS A flexible manufacturing system (FMS) is a manufacturing system in which there is some flexibility that allows the system to react in the case of changes. Scheduling of an FMS is very complicated, particularly in dynamic environment. A simulation based FMS scheduling system can take into account these uncertainties and perform accordingly. Fuzzy logic based simulation is easy to apply and can consider a number variables with reasonable amount of accuracy. Here the proposed model will prioritize the job and select the best alternative route with multicriteria scheduling through an approach based on a fuzzy logic. There are three criteria for both the job sequencing and routing with 27 rules. With the help of the rules the sequence of the jobs are done and the best route is selected.

References

10 Cites in Article
  1. Bernard Grabot (1993). A decision support system for variable routings management in manufacturing systems.
  2. A Angsana,K Passino (1994). Distributed Fuzzy Control of Flexible Manufacturing Systems.
  3. G Hintz,H-J Zimmermann (1989). A method to control flexible manufacturing systems.
  4. Keigo Watanabe,Kiyotaka Izumi,Takaaki Otsubo (1997). A Nonlinear Robust Control Using a Fuzzy Reasoning and Its Application to a Robot Manipulator.
  5. L Custódio,J Sentieiro,C Bispo (1994). Production Planning and Scheduling using a Fuzzy Decision System.
  6. Y Narahari,N Viswanadham (1992). Performance modeling of Automated Manufacturing Systems.
  7. H Tempelmeier,H Kuhn (1993). Flexible Manufacturing Systems.
  8. Yen Guohua,B,-C (1999). A Fuzzy Logic System for Dynamic Job Shop Scheduling.
  9. S Nahavandi,P Solomon (1995). Application of fuzzy logic to shopfloor scheduling.
  10. A Jones,L Rabelo,J Tsai,Y Yih (1993). Intelligent scheduling for flexible manufacturing systems.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Abdullah Al Mamun. 2012. \u201cA Fuzzy-Multicritaria Based Approach for Job Sequencing and Routing In Flexible Manufacturing System FMS\u201d. Global Journal of Research in Engineering - A : Mechanical & Mechanics GJRE-A Volume 12 (GJRE Volume 12 Issue A5): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Version of record

v1.2

Issue date

July 20, 2012

Language
en
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Flexible manufacturing systems (FMS) are production systems consisting of identical multipurpose numerically controlled machines (workstations), automated material handling system, tools, loading and unloading stations, inspection stations, storage areas and a hierarchical control system. Job sequencing and routing are fundamental components of FMS A flexible manufacturing system (FMS) is a manufacturing system in which there is some flexibility that allows the system to react in the case of changes. Scheduling of an FMS is very complicated, particularly in dynamic environment. A simulation based FMS scheduling system can take into account these uncertainties and perform accordingly. Fuzzy logic based simulation is easy to apply and can consider a number variables with reasonable amount of accuracy. Here the proposed model will prioritize the job and select the best alternative route with multicriteria scheduling through an approach based on a fuzzy logic. There are three criteria for both the job sequencing and routing with 27 rules. With the help of the rules the sequence of the jobs are done and the best route is selected.

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A Fuzzy-Multicritaria Based Approach for Job Sequencing and Routing In Flexible Manufacturing System FMS

Dr. Ziaul Hassan
Dr. Ziaul Hassan
Nabila Chowdhury
Nabila Chowdhury
Abdullah-Al-Mamun
Abdullah-Al-Mamun
Dr. A.K.M. Masud
Dr. A.K.M. Masud

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