Analysis of cost model with queuing system under uncertainty

ABSTRACT

In this study, we analyze the proficiency of a single-server Markovian queuing system M/M/1/N with unpleasant services and encouraged arrivals to compare the policies for service delivery, which is a context of social planning to improve the social welfare. Then, we examine the economic analysis of the cost in an uncertain environment. In this regard, the entry rate, the service rate, and the processing time are presumed as vague numbers and developed a concept that is an essential condition of vague set that is applied. In addition, taking into account to the expected costs, server maintenance costs, customer dissuasion cost, and financing costs in this investigation can enhance the managers capability in order to adopt the decision in organizations.

KEYWORDS:

• Encouraged arrivals rate
• queuing system
• uncertainty
• cost model

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Maedeh Chaleshigar Kordasiabi

Maedeh Chaleshigar Kordasiabi was born in Ghaemshahr in Mazandaran province of Iran. She earned her BSc from Mazandaran University of Science and Technology, Babol, Iran (MUST) and MSc from Shomal University. Her researches are principally about Optimization techniques and operation research to solve the problems and moreover industrial engineering issues containing reverse logistics, supply chain management, closed-loop supply chain, and relief logistics

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 logistics and 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. SOCO, IJAMT, NCCA, IJFS, CAIE, JIPE, JCLEP, IJFIS.

Hamed Fazlollahtabar

Hamed Fazlollahtabar had graduated in BSc and MSc of Industrial Engineering at Mazandaran University of Science and Technology, Babol, Iran at 2008 and 2010, respectively. He received his PhD of Industrial and Systems Engineering at Iran University of Science and Technology, Tehran, Iran in 2015. He has completed the postdoctoral research fellowship at Sharif University of Technology, Tehran, Iran, in the area of Reliability Engineering for Complex Systems in 2017. He is in the Department of Industrial Engineering at Damghan University, Damghan, Iran. He is in the editorial board of several journals and technical committee of conferences. His research interests are supply chain planning, robotic production systems, reliability evaluation, and business intelligence and analytics. He has published over 280 research papers in international book chapters, journals, and conferences. Also, he published eight books in which six of them are internationally distributed to the academicians.

Nikbakhsh Javadian

Nikbakhsh Javadian was born and raised in Ghaemshahr, Iran. He received his PhD of Industrial and Systems Engineering at Iran University of Science and Technology, Tehran, Iran in 1999. He has over 20 years of experience in Business Development, System Analysis, Inventory and Optimization and Quantitative methods and Fuzzy Computing. He has published over 100 research papers in international book chapters, journals, and conferences. The main focus of his research has been Supply Chain Network, Transportation, Metaheuristics, Fuzzy Computing and MCDM and Queuing systems.