Operation workshop bottleneck identification method taking machine attribute as interval number
A feature attribute and job shop technology, applied in data processing applications, predictions, calculations, etc., can solve problems such as inability to comprehensively judge and identify bottleneck equipment
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[0045] Describe the present invention below in conjunction with specific embodiment:
[0046] In this embodiment, bottleneck identification is performed on a production system of 30 six types of workpieces (W1-W6) and 8 machines (M1-M8) in a processing workshop. The working time, failure rate, Mean Time to Repair (MTTR) and processing cost per unit time of the machine are shown in Table 1; the processing route, unit price and delivery date of the workpiece are shown in Table 2; the processing hours information is shown in Table 3.
[0047] Table 1 machine related parameters
[0048]
[0049] Table 2 Workpiece related parameters
[0050]
[0051] Table 3 Working hours information table
[0052]
[0053] In this embodiment, the mobile bottleneck identification method (SBD method) is adopted, and the literature "Research on Job Shop Bottleneck Identification Method under Disturbance Environment" (Wang Gang, Wang Junqiang, Sun Shudong, Mechanical Science and Technology, 2...
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