A SOLUTION OF IMPROVEMENT IN PRODUCTION PLANNING USING BAYESIAN ESTIMATION

摘要：

　　Almost every manufacturing site has been supported by a lot of part-time, temporary, or midcareer personnelgiven the poor state of the economies all over the world.And expert managers of front-line workers must design more complex production planning strategies that take urgent orders into consideration.Therefore, the purpose of our study is to develop production planning models using the inference method suggested by Mahadevan et al.on the study of architecture field,and to verify our solution in production planning that can take urgent orders into consideration.First, what overflowed work element moves to another process is assumed as Dummy Moving Element (DME).Next, DME estimation analysis and improvement using branch and bound method and Bayesian estimation are discussed.Finally, the effectiveness of our model is verified by a numerical experiment.

关键词： Bayesian Estimation Production Planning Urgent Works

作者: Atsushi Hanafuji Takayuki Kataoka Masakazu Kanezashi

作者单位: Faculty of Engineering, Kinki University, Takaya Umenobe 1,Higashi-Hiroshima, Hiroshima 739-2116, Japan

会议类型: 国际会议

会议名称: The 11th International Conference on Industrial Management(第十一届工业管理国际会议)

会议地点: 日本

会议语种:英文

页码: 115-120

在线出版日期: 2012-08-29（万方平台首次上网日期，不代表论文的发表时间）