4.5 Article

Optimal production policy for economic production lot-sizing model with preventive maintenance

Journal

QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT
Volume 18, Issue 1, Pages 83-100

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/16843703.2020.1766740

Keywords

Economic production lot-size; in-control condition; lot tolerance percent defective; out-of-control condition; preventive maintenance; random defective rate

Funding

  1. Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Science, ICT and Future Planning [NRF-2017R1E1A1A03069903]

Ask authors/readers for more resources

This study focuses on determining the optimal manufacturing quantity for an economic production lot-sizing model with a defective rate and preventive maintenance. The research model developed in this study helps in deciding the optimal production time in different conditions. Numerical examples provided in the study demonstrate the applicability of the methodology derived.
In this study, we determine the optimal manufacturing quantity for an economic production lot-sizing model with a defective rate and preventive maintenance for a manufacturing machine. We investigate the properties of economic manufacturing quantity to minimize expected costs during the production run when a random defective rate for that product is considered using an in-control condition and an out-of-control condition. If a manufacturing machine produces a proportion of defective items which is larger than the lot tolerance percent defective, then a machine shifts from an in-control condition to an out-of-control condition, and it should have a maintenance service to decrease the possibility that it will produce imperfect-quality products. A research model is developed to determine optimal manufacturing quantity and optimal production time when a defective rate and maintenance service are considered. Numerical examples are given for the applicability of the methodology derived in the paper.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available