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- Cai, Ningxu, et al.
(author)
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GA-based Adaptive Setup Planning with Machine Tool Capability and Availability
- 2007
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In: Transactions of the North American Manufacturing Research Institution of SME. - 1047-3025. ; 35, s. 25-32
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Journal article (peer-reviewed)abstract
- In a machine shop, setup planning of a part for more than one available machine is a typical combinatorial optimization problem under certain constraints. Targeting adaptability of setup plans for multiple machines, an across-machine setup planning approach using genetic algorithms is presented in this paper, including (1) gene pool generation, (2) setup plan encoding and fitness evaluation, and (3) optimal setup plan selection through GA operations. The proposed approach is implemented In a GA toolbox, and tested by a sample part. The results demonstrate that this approach is not only applicable to machines with varying configurations, but also adaptive to shop floor schedule changes due to uncertainty.
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| 2. |
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| 3. |
- Keshavarzmanesh, Shadi, et al.
(author)
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Increasing Adaptability of Assembly Planning and Control with Embedded Decision-Making Capability
- 2009
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In: Transactions of the North American Manufacturing Research Institution of SME. - : Society of Manufacturing Engineers. - 1047-3025. ; 37, s. 533-540
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Journal article (peer-reviewed)abstract
- In our previous work, a framework and a new methodology for adaptive assembly process planning using function block (FB) concept was introduced. Function blocks are adopted to deal with dynamic job shop assembly floors, where product-mix often in small batches contributes to manufacturing uncertainty, making adaptability an important item on a company's wish list. FB-enabled assembly planning and control enables not only adaptive decision making but effective plan execution. Following our previous work, this paper reports the development of simulating a function block communication network in the Matlab Simulink environment and demonstrating the implementation of the methodology through an example.
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