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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jain, P.K. Vivek Kumar Gupta |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Mech. & Ind. Eng., Indian Inst. of Technol., Roorkee, India (Jain, P.K.) |
| Abstract | The operation-sequencing problem in process planning is considered to produce a part with the objective of minimizing the sum of machine, setup and tool change costs. In general, the problem has combinatorial characteristics and complex precedence relations, which makes the problem difficult to solve. In this paper ant colony optimization technique has been used to solve this sequencing problem. Present approach analyses the precedence relationships among features to generate a precedence relationship matrix (PRM). |
| Starting Page | 270 |
| Ending Page | 275 |
| File Size | 462664 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780392981 |
| DOI | 10.1109/ICSMC.2005.1571157 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-10-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Ant colony optimization Process planning Cutting tools Machinery production industries Machining Simulated annealing Cost function Industrial relations Optimized production technology Manufacturing processes operation sequencing |
| Content Type | Text |
| Resource Type | Article |
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