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Optimizing Concurrent Scheduling of Machines and Tools in a Flexible Manufacturing System with Alternating Machines Using the Flower Pollination Algorithm Annamacharya Institute of Technology and Science

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Mareddy, Padma Lalitha, author.
Contributor:
Katta, Lakshmi Narasimhamu
Siva Rami Reddy, Narapureddy
Vakucherla, Venkatesh
Conference Name:
International Conference on Advances in Design, Materials, Manufacturing and Surface Engineering for Mobility (2023-10-27 : Chennai, India)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2023
Summary:
This paper examines the concurrent scheduling of machines and tools with machines in a multi-machine flexible manufacturing system (FMS) with the aim of minimizing the makespan in automobile manufacturing industry. Due to the high cost of tools in FMS, each type of tool has only one duplicate in circulation. To reduce the cost of duplicating tools on each machine, a central tool magazine (CTM) is used to store and share tools among several machines. The main challenge in this scenario is to allocate machines from alternate machines and tools to job operations in a way that minimizes the make span. To address this problem, the article proposes a mixed nonlinear integer programming formulation and a Flower Pollination Algorithm (FPA). The results show that the FPA outperforms existing algorithms and using alternate machines for operations can reduce the make span. Therefore, this paper suggests that the FPA-based approach can be effectively utilized in real-world FMS applications, particularly in the automobile manufacturing industry, to achieve efficient scheduling and production planning
Notes:
Vendor supplied data
Publisher Number:
2023-28-0141
Access Restriction:
Restricted for use by site license

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