Economic Design of Integrated Production Planning Model Based on Adaptive Synthetic EWMA Control Chart and Maintenance Policies

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.

Soleimani Paria; Jadidi Hossein

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

Journal Paper

Paper Information

Journal: Advances in Industrial Engineering Year:2024 | Volume:58 | Issue:1 Page(s): 103-123

Download Full-Text

View:

Download:

Cites:

Information Journal Paper

Title

Economic Design of Integrated Production Planning Model Based on Adaptive Synthetic EWMA Control Chart and Maintenance Policies

Author(s)

Soleimani Paria | Jadidi Hossein | Issue Writer Certificate

Keywords

economic control chart design

synthetic adaptive control chart of EWMA

Production Planning

economic production

maintenance policies

Abstract

Control charts and maintenance strategies are essential tools in production management. However, despite their inherent connection, these tools are often studied and applied independently. To better reflect real-world scenarios, this paper focuses on the economic design of an integrated Production Planning model based on a synthetic adaptive Exponentially Weighted Moving Average (EWMA) control chart. To mitigate machine failure rates, two types of maintenance strategies are incorporated: reactive maintenance (RM) and preventive maintenance (PM). The model uses the particle swarm optimization (PSO) metaheuristic algorithm to minimize the total production cycle cost while adhering to statistical quality constraints. A comparative analysis is conducted to evaluate the impact of variable sampling intervals in control charts on overall costs. Sensitivity analysis is performed to examine how model parameters influence optimization policies. Finally, the results are compared with previous studies to demonstrate the effectiveness of the proposed method.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans