Multi-product pulsation assembly line modeling and performance evaluation method

Abstract

The invention provides a multi-product pulsation assembly line modeling and performance evaluation method, and relates to the field of production system modeling and performance evaluation. For a multi-product pulsation assembly line, a buffer segmentation strategy is provided, and an accurate analysis method for performance evaluation of a two-station pulsation assembly line and an aggregation method for performance evaluation of a multi-station pulsation assembly line are provided for evaluating performance indexes such as productivity and product-in-process level of the pulsation assembly line. Specifically, for a two-station pulsation assembly line considering a buffer segmentation strategy, a system state space is analyzed, an analytical model is established based on a Markov process by extracting a relation equation of mutual transformation between system states, and system performance indexes are solved and obtained; and ---for a multi-station pulsation assembly line considering a buffer segmentation strategy, a performance evaluation aggregation method is provided to solve a system performance index, and the correctness and effectiveness of the method are verified through a simulation experiment.

Description

technical field [0001] The invention relates to the field of modeling and performance evaluation of production systems. Background technique [0002] Production system performance evaluation aims to use mathematical models to study the basic properties and operating laws of objective production systems, and use these properties and laws to perform performance analysis, continuous improvement and lean design of production systems. The research difficulties mainly come from the unreliability of machines and limited buffer capacity. Machine failure may cause upstream machines to block due to the lack of buffer space between machines, and at the same time cause downstream machines to starve due to no parts processing, thus affecting the normal operation of the production system. Machine failure makes the system random, and the buffer between machines makes the machines in the system dependent. The coupling of randomness and interdependence makes the influence among the various...

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Problems solved by technology

Analytical methods face the same type of problems, not only can quickly provide more consistent solutions, but also can reveal the operating mechanism of the production system in depth, but generally can only analyze relatively simple production units; simulation methods cannot provide general solutions, but can Consider more practical factors such as production disturbances, and be able to simulate and analyze more complex production systems common in reality

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