A Job Shop Bottleneck Identification Method Considering Multi-Dimensional Feature Attributes of Machines

Abstract

The invention provides a method for identifying a bottleneck of a job workshop by considering a multidimensional feature attribute of a machine. The method comprises the following steps of: performing job scheduling optimization solution by adopting an optimization algorithm; and then changing the conventional method for identifying the bottleneck according to a single factor of the machine, comprehensively considering multiple aspects of feature attributes of the bottleneck, supplying a multi-attribute bottleneck identification method, and comprehensively evaluating the performance of the machine to identify the bottleneck. By the method, bottleneck utilization and the bottleneck identification can be put under a uniform framework for performing integrated solution, so that the shortcomings of inaccurate bottleneck identification, non-optimal optimization scheme and the like which are caused by the conventional method in which the bottleneck identification is separated from the optimization scheme are overcome; after a scheduling optimization scheme is obtained, different feature attributes of the machine are comprehensively considered; the bottleneck is identified by the technique for order preference by similarity to ideal solution multi-attribute bottleneck identification method; and the shortcomings that the conventional bottleneck identification index is single-faceted, and an identification result is biased are overcome.

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 considering multi-dimensional feature attributes of machines. 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 pla...

AI Technical Summary

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 identification. A few literatures consider multiple indicators, but they are all based on simple rules. the goal of

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