Methods for activating the decision-making process that is used for controlling flexible manufacturing systems

Shnits, Boris

doi:10.1080/00207540903436703

Cited by 3 publications

(3 citation statements)

References 24 publications

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“…An FMS with a random arrival of parts for processing is equivalent to an automated dynamic job shop in conventional production (Sabuncuoglu 1998). It has been observed in the literature that the distribution of the part arrival process in dynamic job shops closely follows the Poisson distribution (Shanker and Tzen 1985, Ramasesh 1990, Sabuncuoglu 1998, Rangsaritratsamee et al 2004, Shnits 2010. Hence, the time between arrivals of parts is exponentially distributed.…”

Section: Part Datamentioning

confidence: 98%

“…The mean of this exponential distribution is determined for a specified system utilisation percentage and the processing requirements of parts. For a dynamic job shop system, the following relationship is used to determine the mean interarrival time (Rangsaritratsamee et al 2004, Shnits 2010:…”

Section: Part Datamentioning

confidence: 99%

“…This can be attributed to the fact that these problems have fundamental implications on the overall performance of the system (Shnits 2010). Proper scheduling procedures are essential for the efficient utilisation of the expensive resources in FMSs such as machines, MHS, etc.…”

Section: Introductionmentioning

confidence: 99%

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Effects of flexibility and scheduling decisions on the performance of an FMS: simulation modelling and analysis

Joseph¹,

Sridharan

2012

International Journal of Production Research

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This paper focuses on a simulation-based experimental study of the effects of routing flexibility, sequencing flexibility, and part sequencing rules on the performance of a typical FMS. Three routing flexibility levels, five sequencing flexibility levels, and four scheduling rules for part sequencing decision are considered for detailed investigation. The system work load characterised by the mean interarrival time of parts has been set at different levels. The performance of the FMS is evaluated using various measures related to flow time and tardiness of parts. The simulation results are subjected to statistical analysis. Multiple regression-based metamodels have been developed using the simulation results. The analyses of results reveal that deterioration in system performance can be minimised substantially by incorporating either routing flexibility or sequencing flexibility or both. However, the benefits of either of these flexibilities diminish at higher flexibility levels. When flexibility exists, part sequencing rules such as the earliest due date and earliest operation due date provide a better performance for all the measures.

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