Research Article
Mathematical Model Construction of the Production Workshop Based on the Complex Network and Markov Theory
Table 4
The production process parameters of the workshop.
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| (order information) | 0.2652 | 1 | | (material purchasing plan) | 0.3275 | 0 | | (demand risk analysis) | 0.1861 | 1 | | (initial data) | 0.3785 | 1 | | (material arrival time) | 0.3952 | 0 | | (manual clamping time) | 0.3562 | 1 | | (auxiliary processing time) | 0.3283 | 0 | | (industry policy changes) | 0.3183 | 1 | | (market environment changes) | 0.5902 | 3 | | (equipment failure rate) | 0.3392 | 0 | | (aging degree of equipment) | 0.3287 | 1 | | (importance of equipment) | 0.3916 | 1 | | (route layout) | 0.3285 | 1 | | (process constraints) | 0.3852 | 0 | | (accuracy of machining different parts) | 0.3907 | 1 | | (selection of the production scheduling mode) | 0.5589 | 2 | | (scheduling objectives) | 03205 | 0 | | (staff leave rate) | 0.5960 | 3 | | (processing pass rate) | 0.2298 | 2 | | (time required for monitoring) | 0.3805 | 5 | | (monitoring environmental impacts) | 0.3607 | 3 | | (production line balance rate) | 0.2385 | 1 | | (change of delivery date) | 0.3762 | 2 | |
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