Abstract
AbstractA real manufacturing system of an electronic company was mimicked by using a simulation model. The effects of dispatching rules and resources allocations on performance measures were explored. The results indicated that the dispatching rules of shortest processing time (SPT) and earliest due date are superior to the current rule of first in first out adopted by the company. A new combined rule, the smallest quotient of dividing shortest remaining processing time (SRPT) by SPT (SRPT/SPT_Min), has been proposed and demonstrated the best performance on mean tardiness time under the current resources situation. The results also showed that using fewer resources can increase their utilization, but it increases the risk of delivery tardiness as well, which in turn will damage the organization’s reputation in the long run. Some suggestions for future work were presented.
Highlights
With the changes of information technology and strategy of global competitiveness, system simulation becomes a critical management tool for tackling the fast-changing environment (Cacciabue, 2011; Ramasesh, 1990; Wen & Yang, 2013)
Conclusions and future work Instead of using pseudo data to test approaches, data from a real manufacturing system of an electronic company were adopted in this study
We constructed a practical simulation model to investigate the effects of dispatching rules and resources allocations on performance measures
Summary
With the changes of information technology and strategy of global competitiveness, system simulation becomes a critical management tool for tackling the fast-changing environment (Cacciabue, 2011; Ramasesh, 1990; Wen & Yang, 2013). 4. Simulation design The simulation model was designed by using the version 10 of Arena and simulated on the processor, Intel Pentium 1.8 GHz. Simulation data include interarrival time of production orders, operation time, due date, dispatching rules, and the number of machines. The first experiment was to simulate the different numbers of machines allocations to explore whether it was effective to reduce capacity idle, and the second experiment was to compare seven dispatching rules in terms of seven performance measures. The parameters used in the model, such as orders interarrival time, operation time, machines adjusting time, number of jobs and so on, were estimated from the pratical data In this manufacturing system, there are 11 machines at Station 2, and only 1 machine at Station 3. It is interesting to know whether the numbers of machines at these two stations can be decreased to six each
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
