SOLVING MULTI-OBJECTIVE FLEXIBLE DYNAMIC JOB-SHOP SCHEDULING PROBLEM WITH IMPROVED GENETIC ALGORITHM

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

NAHAVANDI N.; ABBASIAN MOHAMMAD

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN) Year:2010 | Volume:21 | Issue:3 Page(s): 1-12

Download Full-Text

Persian Verion

View:

852

Download:

Cites:

Information Journal Paper

Title

SOLVING MULTI-OBJECTIVE FLEXIBLE DYNAMIC JOB-SHOP SCHEDULING PROBLEM WITH IMPROVED GENETIC ALGORITHM

Author(s)

NAHAVANDI N. | ABBASIAN MOHAMMAD | Issue Writer Certificate

Keywords

MULTI-OBJECTIVE SCHEDULINGQ2

FLEXIBILITYQ3

DYNAMICALLYQ2

GENETIC ALGORITHMQ2

CROSSOVER& MUTATIONQ2

Abstract

In this paper, Multi-Objective Flexible Job-Shop scheduling with Parallel Machines in Dynamic manufacturing environment (MO-FDJSPM) is investigated. Moreover considering dynamical job-shop environment (jobs arrived in non-zero time), It contains two kinds of FLEXIBILITY which is effective for improving operational manufacturing systems. The non-flexibility leads to scheduling program which have problems like useless loading machines, bottleneck machines, decreasing desirability sources and a poor function in just in time delivery. Regarding to the FLEXIBILITY in manufacturing systems, a job could be processed not only in several stations (operational FLEXIBILITY) but also on several parallel machines in each station (flexibility of parallel machines) which both of them are considered in this paper. In the recent researches about FJSPM and FDJSPM, the single objective models were assessed. Whereas in competitive conditions, decision-makers encountered with simultaneous multi-objective problems that a number of them could be completely conflict with each other. In this research, the objectives are makespan, mean flow time and mean tardiness. These objectives are adaptable to the concept of just-in-time and supply chain management. Since the problem is NP-hard, an improved GENETIC ALGORITHM is proposed. Proposed GA compare with Genetic Programming (GP) and GA, the result demonstrate inherence proposed GA. The control parameters in proposed GA are dynamic and changed through the algorithm that leads to reducing the probability of early convergence and local optimum. The mean results for three FLEXIBILITY levels show that there is 4.9%, 5.33% & 4.6% improvement in proposed GA compared with previous results.

Cites

No record.

References

No record.

Cite

APA: Copy

NAHAVANDI, N., & ABBASIAN, MOHAMMAD. (2010). SOLVING MULTI-OBJECTIVE FLEXIBLE DYNAMIC JOB-SHOP SCHEDULING PROBLEM WITH IMPROVED GENETIC ALGORITHM. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN), 21(3), 1-12. SID. https://sid.ir/paper/65533/en

Vancouver: Copy

NAHAVANDI N., ABBASIAN MOHAMMAD. SOLVING MULTI-OBJECTIVE FLEXIBLE DYNAMIC JOB-SHOP SCHEDULING PROBLEM WITH IMPROVED GENETIC ALGORITHM. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN)[Internet]. 2010;21(3):1-12. Available from: https://sid.ir/paper/65533/en

IEEE: Copy

N. NAHAVANDI, and MOHAMMAD ABBASIAN, “SOLVING MULTI-OBJECTIVE FLEXIBLE DYNAMIC JOB-SHOP SCHEDULING PROBLEM WITH IMPROVED GENETIC ALGORITHM,” INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN), vol. 21, no. 3, pp. 1–12, 2010, [Online]. Available: https://sid.ir/paper/65533/en

Related Journal Papers