Abstract
This paper reports on a development of feature-focused dynamic routing policy and its evaluation in a flexible manufacturing systems (FMS) simulation framework. The dynamic policy is based on an integrative methodology in which process planning system IMPlanner is integrated with FMS simulation module. IMPlanner’s rule-based system process selection system performs knowledge-intensive task of generating alternative processing options for each feature for parts in production plan. Generated alternative routings (process plan network) for each part are utilized in the FMS simulation module such that routing decision in FMS are made on periodic intervals by considering alternative processes for each feature and making decision based on the current system status and performance. The proposed framework has been evaluated in an experimental FMS simulation module, implemented in Arena, in which two performance criteria, machine utilization and WIP, were used to make routing decisions. The feature-focused approach is compared with traditional static decision-making, and its improved performance is demonstrated.
Similar content being viewed by others
References
Browne J, Dubois D, Rathmill K, Sethi P, Stecke KE (1984). Classification of flexible manufacturing systems. FMS Mag 114(7)
Chan FTS, Chan HK, Lau HCW, Ip RWL (2003) Analysis of dynamic dispatching rules for a flexible manufacturing system. J Mater Process Tech 138:325–331
Chan IJ, Chung C (1991) Effects of loading and routing decisions on performance of flexible manufacturing systems. Int J Prod Res 29(11):2209–2225
Saygin C, Chen FF, Singh J (2001) Real-time manipulation of alternative routeings in flexible manufacturing systems: a simulation study. Int J Adv Manuf Technol 18:755–763
Ozmutlu S, Harmonosky CM (2005) A real-time methodology for minimizing mean flowtime in FMSs with routing flexibility: threshold-based alternate routing. Eur J Oper Res 166:369–384
Subramaniam V, Lee GK, Ramesh T, Hong GS, Wong YS (2000) Machine selection rules in dynamic job shop. Int J Adv Manuf Technol 16:902–908
Brennan RW and W. O (2002). Evaluating alternative manufacturing control strategies using a benchmark system. Proc Instn Mech Engrs Part B: J Eng Manuf 216:927–932
Sormaz DN, Khoshnevis B (2003) Generation of alternative process plans in integrated manufacturing systems. Int J Intell Manuf 14:509–526
Sormaz DN, Arumugam J, Ganduri C (2007) Integration of rule-based process selection with virtual machining for distributed manufacturing, In: Wang L, Shen W (eds) Planning Process Planning and Scheduling for Distributed Manufacturing, p 61–90
Kelton WD, Sadowski RP, Sturrock DT (2007) Simulation with Arena. McGraw Hill, Boston
Patel C. Development of the simulation based integrative decision support framework for flexible manufacturing system with real time process plan selection, Master of Science (MS) Thesis, Ohio University, 2010
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Sormaz, D., Patel, C. Development and evaluation of feature-focused dynamic routing policy. Int J Adv Manuf Technol 99, 15–28 (2018). https://doi.org/10.1007/s00170-016-8984-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-016-8984-7