A Highly Efficient and Optimised Simulation Based Multi objective Decision-Making for FMS Control

Shreyanshu Parhi, S. C. Srivastava


Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS.  The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.

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A. A. M Emin Erdin, “Implementation of an overall design of an FMS,” 8th International Conference Interdisciplinary in engineering, pp. 185-192, 2015.

K. Stecke, “Design, planning, scheduling and control problems,” Annals of Operations Research, pp. 3-12, 1984.

X. L. C. Y. Z. Binghai, “A heuristic algorithm to batching and loading problems in a flexible manufacturing system,” Int J Adv Manuf Technology, p. 903–908, 2004.

G. J. G. a. J. Slomp, “Towards an Integration of Process Planning and production planning and control for FMS,” The International Journal of Flexible Manufacturing Systems, pp. 5-17, 1999.

A. J. .. P. K. J. .. I. P. Singh, “An integrated scheme for process planning and scheduling in FMS,” Int J Adv Manuf Technology, p. 1111–1118, 2005.

S. P. Djamila Ouelhadj, “A survey of dynamic scheduling in manufacturing systems,” J Sched, p. 417–431, 2009.

S. R.A.Dudek, “The lessons of flow shop scheduling research,” Operations research society of America, 2016.

A. S. R. a. V. Subramaniam, “Reactive Recovery of Job Shop Schedules – A Review,” Int J Adv Manuf Technol, pp. 756-763, 2002.

D. M. L. B. G. Frizelle, “Disturbance Measurement in Manufacturing Production Systems,” In Proceedings of ASI, 1998.

Y.-C. C. a. S. C. H.-Y. Huang, “A dynamic system model for proactive control of dynamic contol of full load manufacturing chains,” International Journal of Production Research, p. 2485–2506, 2009.

A. Zaied, “Quantitative models for planning and scheduling of FMS,” Emirates Journal for Engineering Research, pp. 11-19, 2008.

J. R. a. D. S. B. Shints, “Multicriteria dynamic scheduling methodology for controlling a flexible manufacturing system,” International Journal of Production Research, p. 3457–3472, 2004.

J. A.V.Savkin, “Optimal distributed real time scheduling of flexible manufacturing networks modelled as hybrid dynamical systems,” Robotics and Computer Integrated Manufacturing, p. 597–609, 2008.

M. A. J. a. S. S. M. Houshang Darabi, “Finite Automata Decomposition for FMS control and scheduling,” IEEE transactions on systems, man and cybernics, 2003.

P. U. a. S. Srivastava, “Improving a Flexible Manufacturing Scheduling using Genetic Algorithm,” Journal of Academia and Industrial Research (JAIR), pp. 146-150, 2013.

F. T. S. C. a. H. K. Chan, “Dynamic Scheduling for a Flexible Manufacturing System – The Preemptive Approach,” Int J Adv Manuf Technol, pp. 760-768, 2001.

R. B. H. K. C. Felix T.S. Chan, “The effect of responsiveness of the control-decision system to the performance of FMS,” Computers & Industrial Engineering, pp. 32-42, 2014.

F. T. S. Chan, “The effects of routing flexibility on a flexible manufacturing system,” International Journal of Computer Integrated manufacturing, p. 431–445, 2010.

P. C. M.D. Byrne, “Real-time operational control of an FMS with full routing flexibility,” International Journal of Production Economics, pp. 109-113, 1997.

N. S. a. P. Amrik Singh, “A Real-time Methodology for Minimizing Flow Time in FMS with full routing flexibility,” International Journal of Advanced Mechanical Engineering, pp. 185-192, 2014.

DOI: https://doi.org/10.23956/ijermt.v6i6.254


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