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      • Department of Industrial Engineering
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      Tool allocation and machining conditions optimization for CNC machines

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      Author(s)
      Aktürk, M. S.
      Avcı, S.
      Date
      1996
      Source Title
      European Journal of Operational Research
      Print ISSN
      0377-2217
      Publisher
      Elsevier
      Volume
      94
      Issue
      2
      Pages
      335 - 348
      Language
      English
      Type
      Article
      Item Usage Stats
      233
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      218
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      Abstract
      In the literature, there exist many variations of machining economics problem in terms of modelling approaches and solution methodologies. However most of the existing studies focus on the single machining operation which is seldom in practice. On the other hand, tool management approaches at the system level fail to relate the tooling issues to the machining conditions, and ignore the tool availability and tool wear restrictions. A new solution methodology is developed to determine the optimum machining conditions and tool allocation simultaneously to minimize the production cost of a multiple operation case where there can be alternative tools for each operation. As a result, we can both improve the solution by exploiting the interaction between these two decisions, and also prevent any infeasibility that might occur for the tool allocation problem due to tool contention among the operations for a limited number of tool types by considering the tool availability and tool life limitations.
      Keywords
      Machining parameters
      Manufacturing
      Modelling
      Tool allocation
      Computer control systems
      Computer simulation
      Economics
      Flexible manufacturing systems
      Machine tools
      Machining
      Numerical control systems
      Optimization
      Production control
      Resource allocation
      Machining parameters
      Production cost
      Tool allocation
      Tool availability
      Tool life limitations
      Tool wear restrictions
      Operations research
      Permalink
      http://hdl.handle.net/11693/25767
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/0377-2217(95)00171-9
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      • Department of Industrial Engineering 758
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