Simultaneous Scheduling of Machines and AGVs in FMS Through Hybrid JAYA Algorithm
Prakash Babu Kanakavalli1, Vijaya Babu Vommi2
1Prakash Babu Kanakavalli*, Mechanical Department, V.R.Siddhartha Engineering College Vijayawada, India.
2Vijaya Babu Vommi, Mechanical Department, A.U College of Engineering (A) Andhra University.
Manuscript received on November 14, 2019. | Revised Manuscript received on 20 November, 2019. | Manuscript published on December 10, 2019. | PP: 1982-1988 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7872129219/2019©BEIESP | DOI: 10.35940/ijitee.B7872.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: High amount of flexibility and quick response times have become essential features of modern manufacturing systems where customers are demanding a variety of products with reduced product life cycles. Flexible manufacturing system (FMS) is the right choice to achieve these challenging tasks. The performance of FMS is dependent on the selection of scheduling policy of the manufacturing system. In Traditional scheduling problems machines are as considered alone. But material handling equipment’s are also valuable resources in FMS. The scheduling of AGVs is needed to be optimized and harmonized with machine operations. Scheduling in FMS is a well-known NP-hard problem due to considerations of material handling and machine scheduling. Many researchers addressed machine and AGVs individually. In this work an attempt is made to schedule both the machines and AGVs simultaneously. For solving these problems- a new hybrid metaheuristic JAYA algorithm (HJAYA) is proposed.
Keywords: AGVs, FMS, Metaheuristic Algorithms, NP-hard Problems, Operational Completion Time (makespan)
Scope of the Article: Operational Research