%A KONG Qing-shan, ZHANG Qin, YANG Hui-xin, SHI Jian-gang %T The Evolution and Simulation of Product Quality Supervision in Enterprise Clusters %0 Journal Article %D 2020 %J Chinese Journal of Management Science %R 10.16381/j.cnki.issn1003-207x.2018.1385 %P 174-183 %V 28 %N 7 %U {http://www.zgglkx.com/CN/abstract/article_16888.shtml} %8 2020-07-20 %X The product quality fraud emerges in endlessly, quality supervision departments have to face the challenge of how to supervise the quality of a large number of enterprises' products. Different from making sampling plan by enterprise-scale (small medium and large according to certain ratio respectively), a supervision model of enterprise clusters supervision is proposed then the sampling strategy and punishment mechanism are discussed. The product quality evolution of enterprise clusters is also analyzed in four sampling strategy, namely free sampling, full sampling, global cluster sampling and stratified cluster sampling. In free sampling, quality punishment not be credible with the emergence of "regulation failure", all the enterprise clusters evolve to quality fraud strategy; In full sampling, the evolution of enterprise clusters depends on whether quality punishment cover cost reducing in quality fraud; In global cluster sampling and stratified cluster sampling, the ascension path of quality punishment and sampling probability is gotten besides enterprise clusters evolution path, the enterprise clusters evolve to standard quality when quality punishment according to the maximal cost reducing and competitive profit, the lower the quality punishment, the higher the sampling probability, the stratified cluster sampling can reduce the overall sampling probability. Our work provides theoretical support and decision reference for product quality supervision model. The enterprise clusters supervision model is hoped to play a role in practice of product quality supervision.