Int. J. of Industrial and Systems Engineering   »   2008 Vol.3, No.5

 

 

Title: Stochastic models for reliable and unreliable flexible manufacturing cells with two machines and two robots

 

Author: Majid M. Aldaihani, Mehmet Savsar

 

Addresses:
Department of Industrial and Management Systems Engineering, College of Engineering and Petroleum, Kuwait University, P.O. Box 5969, Safat 13060, Kuwait.
Department of Industrial and Management Systems Engineering, College of Engineering and Petroleum, Kuwait University, P.O. Box 5969, Safat 13060, Kuwait

 

Abstract: Manufacturing systems are usually designed in automated units, called cells, and flexibility is introduced so that a variety of parts can be produced on the same set of equipment. In this paper, we consider a Flexible Manufacturing Cell (FMC) consisting of two machines, each served by a robot arm for loading and unloading purposes, and a common pallet handling system, which moves a batch of mixed parts into and out of the system. Two mathematical models are developed to study and compare operations of two cases of the described FMC. In the first case, both machines are assumed to be reliable all the time while in the second case both machines are assumed to be unreliable and subject to unexpected failures. Machining times, robot loading and unloading times, machine failure and repair times and pallet handling times are assumed to be random variables. Stochastic model of each system turns out to be a Markov chain with a transition matrix, whose size depends on the pallet capacity. Case examples are considered for each FMC, exact numerical solutions are obtained, and the production performance results, such as the production rate and equipment utilisations, are compared.

 

Keywords: cellular manufacturing; failure analysis; stochastic modelling; FMC productivity; flexible manufacturing cells; robot loading; reliability; machining times; robot unloading; machine failure; repair times; pallet handling times.

 

DOI: 10.1504/IJISE.2008.018235

 

Int. J. of Industrial and Systems Engineering, 2008 Vol.3, No.5, pp.610 - 624

 

Available online: 13 May 2008

 

 

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