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Using the loss function approach with linear, quadratic and cubic loss functions, the machine group selection problem is solved.
As a second problem for illustrating the proposed loss function approach, machine group selection problem from Wang et al. (2000) is considered.
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Pre-release decisions, viz machine grouping, part type selection, production ratio determination, resource allocation, and loading problems, must be solved while setting up an FMS.
Group selection provides a possible answer.
That's where group selection comes in.
Tells about his neuronal group selection theory.
Machine group identification (MGI), 3.
Group selection provides a good example.
Product family identification (PFI), Machine group identification (MGI), Product families/machine grouping (PF/MG).
She prefers to speak of group selection.
Our proposed method consists of two-phase: online group selection and online inter-group selection.
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