Optimizing and evaluating performance quality control of the production process of disposable essentials using approach vague goal programming

ABSTRACT

To have effective production planning, it is necessary to control the quality of processes. This paper aims at improving the performance of the disposable essentials process using statistical quality control and goal programming in a vague environment. Therefore, in this study, the conditions are examined in a vague environment that is a distance-based environment. The disposable essentials process in Kach Company was studied. Statistical control tools were used to characterize the existing process for four-factor responses including the average of disposable glasses’ weights, heights, crater diameters, and volumes. Goal programming was then utilized to find the combination of optimal factors setting in a vague environment; also, the fuzzy regression model is used to predict the responses of the four described factors. Optimization results show that the process capability index values for disposable glasses were improved.

KEYWORDS:

• Goal programming
• quality control
• vague environment
• disposable glasses’ optimization
• fuzzy regression

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Hadi Gholizadeh

Hadi Gholizadeh was born in Amol in Mazandaran province of Iran. He earned his BSc from Shomal university,Amol, Iran and MSc from Mazandaran University of Science and Technology, Babol, Iran (MUST).His researches are mainly about Metaheuristics and Optimization techniques to solve the single and multi-objective optimization problems and also industrial engineering issues including Closed-loop Supply Chain Network Design, Sustainable developments for these supply chain systems and health care networks and also related multi-level programming models in all mentioned contents and Maintenance Engineering, Queuing systems and Machin learning and Fuzzy Computing and MCDM. He has also published more than 15 papers in leading scientific and engineering conferences e.g. IEEE and journals e.g. ASOC, IJAMT, NCCA, IJFS.

Ali Tajdin

Ali Tajdin was born and raised in Babolsar, Iran. He earned his BSc from Mazandaran University, Babolsar, Iran. (1995); Master of degree Mazandaran University of Science and Technology, Babol, Iran. (1997); and PhD from Mazandaran University of Science and Technology, Babol, Iran. (2010); all in Industrial Engineering. He has over 10 years of experience in Business Development, System Analysis, Inventory and Optimization and Quantitative methods and Fuzzy Computing. Ali has also worked for many corporations in Iran and has held the positions of consultant, Planning and project manager and VP. The main focus of his research has been Supply Chain Network, Transportation, Metaheuristics, Fuzzy Computing and MCDM. He has published more than 50 articles in leading scientific and engineering conferences and journals such as CAIE, IEEE, ESWA, KNOSYS, IJAMT, NCAA, and ASOC in his research area. Currently, he is an associate professor in the Mazandaran University of Science and Technology, Babol, Iran (MUST).