Availability Optimization of a Multi-State Industrial System with the Markov Chain Approach

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.

SOBHANI ZAHRA; SHAHROKHI MAHMOUD

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

Journal Paper

Paper Information

Journal: Industrial Management Journal Year:2019 | Volume:11 | Issue:3 Page(s): 380-404

Download Full-Text

Persian Verion

View:

593

Download:

Cites:

Information Journal Paper

Title

Availability Optimization of a Multi-State Industrial System with the Markov Chain Approach

Author(s)

SOBHANI ZAHRA | SHAHROKHI MAHMOUD | Issue Writer Certificate

Keywords

ReliabilityQ2

RedundancyQ1

AvailabilityQ1

Markov ChainQ1

Abstract

Objective: The choice of suppliers is one of the important issues in the design of industrial systems, which must be done with due regard to cost, Reliability, repairability and delivery time of parts supplied and their effect on the total cost of the manufacturing system. Provide a template for selecting suppliers of a multi-state industrial system, taking into account the cost, Reliability, and repairability of the system. Methods: A nonlinear integer programming model has been developed using Markov's network results and solved for a case study in two different ways and the results have been compared: (1) accurate resolution, using GAMS software, and (2) complete counting. Results: By solving this model, the order of parts of the system is selected so that the total cost of construction and operation of the system; including the cost of purchasing the components as well as the cost of reducing the capacity and the complete system shutdown during operation be minimized. The results show that taking into account the effect of components similarity on the purchase price, the delivery time and the speed of repair of components can be effective in choosing the supplier. Conclusion: In conclusion, the effect of choosing the same components is emphasized when assessing the Availability and cost of the entire system.

Cites

No record.

References

No record.

Cite

APA: Copy

SOBHANI, ZAHRA, & SHAHROKHI, MAHMOUD. (2019). Availability Optimization of a Multi-State Industrial System with the Markov Chain Approach. JOURNAL OF INDUSTRIAL MANAGEMENT, 11(3 ), 380-404. SID. https://sid.ir/paper/140001/en

Vancouver: Copy

SOBHANI ZAHRA, SHAHROKHI MAHMOUD. Availability Optimization of a Multi-State Industrial System with the Markov Chain Approach. JOURNAL OF INDUSTRIAL MANAGEMENT[Internet]. 2019;11(3 ):380-404. Available from: https://sid.ir/paper/140001/en

IEEE: Copy

ZAHRA SOBHANI, and MAHMOUD SHAHROKHI, “Availability Optimization of a Multi-State Industrial System with the Markov Chain Approach,” JOURNAL OF INDUSTRIAL MANAGEMENT, vol. 11, no. 3 , pp. 380–404, 2019, [Online]. Available: https://sid.ir/paper/140001/en

Related Journal Papers