Author = Ehsanifar, Mohammad

Identifying and ranking effective lean production factors on economic performance of production companies in Mazandaran province of Iran based on FDANP approach

Volume 6, Issue 2, December 2019, Pages 65-77

https://doi.org/10.22116/jiems.2019.92258

Mohammad Ehsanifar, Nima Hamta, Fariba EsmaeilZadeh

Abstract This paper identified and ranked the lean product factors effecting economic function of production companies in Mazandaran province. 24 sub-factors and five main factors were categorized including supplier management, purchase and provision system, human resource organization, organizing, leadership, and IT. The findings of the paper show that the factor of supplier management is the most influential factor in economic function of production companies and IT has the least effect on the economic function of production companies.

A Simulation Approach to Evaluate Performance Indices of Fuzzy Exponential Queuing System (An M/M/C Model in a Banking Case Study)

Volume 4, Issue 2, December 2017, Pages 35-51

https://doi.org/10.22116/jiems.2017.54604

Mohammad Ehsanifar, Nima Hamta, Mahshid Hemesy

Abstract This paper includes a simulation model built in order to predict the performance indicessuch aswaiting time by analyzing queue’s components in the real world under uncertain and subjective situation. The objective of this paper is to predict the waiting time of each customer in an M/M/C queuing model. In this regard, to enable decision makers to obtain useful results with enough knowledge on the behavior of system, the queuing system is considered in fuzzy environment in which the arrival and service times are represented by fuzzy variables. The proposed approach for vague systems can represent the system more accurately, and more information is provided for designing queueing systems in real life. Furthermore, simulation method is applied successfully for modeling complex systems and understanding queuing behavior. Finally, a numerical example as a case study in a banking system is solved to show the validity of developed model in the real situation.