Sadeghi, S., Seidi, M., Shahbazi, E. (2016). Impact of queuing theory and alternative process routings on machine busy time in a dynamic cellular manufacturing system. Journal of Industrial and Systems Engineering, 9(2), 54-66.

Saeed Sadeghi; Masoud Seidi; Ehsan Shahbazi. "Impact of queuing theory and alternative process routings on machine busy time in a dynamic cellular manufacturing system". Journal of Industrial and Systems Engineering, 9, 2, 2016, 54-66.

Sadeghi, S., Seidi, M., Shahbazi, E. (2016). 'Impact of queuing theory and alternative process routings on machine busy time in a dynamic cellular manufacturing system', Journal of Industrial and Systems Engineering, 9(2), pp. 54-66.

Sadeghi, S., Seidi, M., Shahbazi, E. Impact of queuing theory and alternative process routings on machine busy time in a dynamic cellular manufacturing system. Journal of Industrial and Systems Engineering, 2016; 9(2): 54-66.

Impact of queuing theory and alternative process routings on machine busy time in a dynamic cellular manufacturing system

^{1}Department of Industrial Engineering, IlamBranch, Islamic Azad university,Ilam, Iran

^{2}Faculty of Engineering, Ilam university, Ilam, Iran

^{3}Department of Industrial Engineering, Ilam Branch, Islamic Azad university,Ilam, Iran

Abstract

A new mathematical model based on the alternative process routings in presence of a queuing system in a dynamic cellular manufacturing system has been proposed in this paper.This model integrates two problems of cell formation and inter-cell layout and also an efficiency factor which is defined for minimizing the cell load variation through the maximizing the busy time for all machine types. In order to evaluate the performance of proposed model, some numerical examples are generated randomly and solved using GAMS optimization software suitable for MIP and MINLP models. The Baron solver which is capable of solving both linear and nonlinear model is implemented. Experimental results verify the applicability of proposed model in every industrial plant which implements a CMS. Moreover, based on the sensitivity analysis, the queue system has significant impact on overall system efficiency. In other words by increasing the part arrival rate the machine busy time is increased strictly.

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