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

Active Publication Date: 2012-11-21
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

Most of the literature considers a certain aspect of the bottleneck, and establishes bottleneck identification indicators based on single-factor characteristics for bottleneck identifica

Method used

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  • Operation workshop bottleneck identification method taking machine attribute as interval number
  • Operation workshop bottleneck identification method taking machine attribute as interval number
  • Operation workshop bottleneck identification method taking machine attribute as interval number

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Embodiment Construction

[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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Abstract

The invention provides an operation workshop bottleneck identification method taking a machine attribute as an internal number. Firstly, obtaining a scheduling optimizing scheme for a scheduling problem by an optimizing method; and secondly, building a multi-attribute bottleneck identification model of an interval attribute value, converting a bottleneck identification problem into a multi-attribute decision problem by comprehensively evaluating a candidate machine according to multiple evaluation attributes, and then making a final bottleneck decision by using an improved three-parameter interval TOPSIS. According to the invention, the improved three-parameter interval TOPSIS bottleneck identification method is used to strengthen the information expression capability of the interval, and improve the information accuracy of the interval; the weight determination problem of difference in distribution probability of the attribute interval is solved due to an improved three-parameter deviation formula, and the weight of the machine attribute can be effectively determined; and the approach degree Ci of the multi-attribute interval bottleneck identification method fully digs the information contained in the equipment attribute, and has higher bottleneck identification quality compared with a determinacy multi-attribute bottleneck identification method.

Description

technical field [0001] The invention relates to the technical field of job shop bottleneck identification, in particular to a job shop bottleneck identification method using machine characteristic attributes as interval numbers. Background technique [0002] The limitation of manufacturing resources and the statistical fluctuation and processing dependence of the production system will inevitably cause the "bottleneck" phenomenon that limits the effective output of the system to maximize the output. The Theory of Constraints (TOC) believes that the bottleneck (Bottleneck) is the control point that really restricts the effective output and inventory level of the entire system. The loss on the bottleneck means the loss of the entire production system. Only based on the bottleneck and the maximum utilization of the bottleneck In order to optimize the overall output of the system. Therefore, the dependence point and base point of production management and control should be plac...

Claims

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Application Information

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IPC IPC(8): G06Q10/04
Inventor 王军强陈剑王烁郭银州崔福东张映锋孙树栋
Owner NORTHWESTERN POLYTECHNICAL UNIV
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