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Abstract The gap between production scheduling theory and practice still persists as theoretical scheduling models do not cover real-world characteristics such as the multidimensional nature of scheduling decisions appropriately. Moreover, the set of objectives used in classical scheduling does not fully capture multidimensional scheduling decisions.
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