A mathematical model and optimization of total production cost and quality for a deteriorating production process

Abstract

Proper production planning can considerably improve a producer’s competitiveness in delivering low-cost products with high quality and short-cycle time. In a deterioration process, the quality may change during a production run, leading to early product failures. To mitigate the impact of deterioration such as process shifting, the optimal resetting cycle before the next setup must be determined, as well as the initial settings at the beginning of a production run. The aim of this study is to propose a mathematical model that consists of a new quality loss function and adds maintenance costs to the ordering and inventory holding costs commonly considered in the classical model. The model is applied to a real-world case study to demonstrate the effect of initial settings of the mean quality characteristic. The results demonstrate the superiority of the proposed approach in terms of total production cost, as compared with the economic production quantity model. *Corresponding author: Mohammad Hossein Zavvar Sabegh, Faculty of Engineering, Department of Industrial Engineering, Kharazmi University, Moffateh Ave, Tehran 1571914911, Iran E-mail: mzavvar80@gmail.com Reviewing editor: Xiao-Jun Yang, China university of Mining and Technology, China Additional information is available at the end of the article ABOUT THE AUTHORS Mohammad Hossein Zavvar Sabegh is currently an associate member at American Society for Quality (ASQ). He received his MSc degree in Industrial Engineering from Kharazmi University, Iran. He achieved the Superior student Star award between PhD and MSc students in June 2016 from Kharazmi University for his valuable researches with International Universities and professors. At Organizational Excellence Specialists (OES), he is working as a research partner on the “first global assessment on the current state of organizational excellence” that has been endorsed by the OETC. http://organizationalexcellencespecialists.ca/ mohammad-hossein-zavvar-sabegh/. He is invited as a distinguished young researcher to the 8th International Conference (JIRICQRIT) 2017 by Prof. P.K. Kapur (Conference Chair). He serves at the mentioned Conference as Technical Committee http://amity.edu/jiricqrit2017/committee.html.His research interests include Quality Management, Performance and Productivity Measurement Models, Healthcare Management, Uncertain Decision Making, Supply and Operations Management. Also, he is member of IEEE. He has authored or co-authored many scientific papers and presentations. He reviewed more than 120 research papers for International peer-review journals. PUBLIC INTEREST STATEMENT Recently, the integration of production, maintenance, and quality control has attracted much attention. The deteriorating process and their maintenance have a great importance in reliability engineering. The paper proposed a new economic production quantity model to consider the production cycle time and quality characteristic to minimize total expected production cost that consists of quality loss and maintenance costs. We used the model to calculate total production cost in a spring production line in Iran. To investigate the initial effect of the mean quality characteristic, the computational analysis on a real world has been applied. The results illustrate the total production cost has been reduced from the proposed approach compared with the traditional economic production quantity model. Received: 28 July 2016 Accepted: 16 November 2016 First Published: 28 November 2016 © 2016 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. Page 1 of 9 Mohammad Hossein Zavvar Sabegh

Cite this paper

@inproceedings{Sabegh2016AMM, title={A mathematical model and optimization of total production cost and quality for a deteriorating production process}, author={Mohammad Hossein Zavvar Sabegh and Abolfazl Mirzazadeh and Eric C. Maass and Yucel Ozturkoglu and Mohammad Mohammadi and Shiva Moslemi}, year={2016} }