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How to enable the manufacturing shop scale suitable is a big problem on the condition. It depends on the characteristic of the manufacturing shop logtistics information flow and establishments in the manufacturing shop. Firstly, the information entropy is introduced to acquire the degree of oder relationship among the establishments in the manufacturing shop in this paper. Secondly, petri nets is applied to establish simulation model based on product logtistics information flow as well as estalishments in the shop. Thirdly, Robust optimization theory is also introduced to solve the bottleneck problem in the above simulation model. Finally, the appoximative optimal solution of the manufacturing shop is obtained by Lagrangian relaxation algorithm. It is proved that this new presented approach can optimize the shop scale, improve the room utilization ratio of the manufacturing shop and decrease the unnecessary charges.

The importance of evaluating the lean production has been recognized as an ever-increasing trend in today’s firms which implemented lean production. To overcome these existing shortcomings of the evaluation criteria which had applied evaluation index system to evaluate lean production at the present stage, management entropy has been introduced in this paper. The management entropy is introduced to analysis the most evaluation criteria in the firm which implemented lean production, the firm’s specialized objective evaluation criteria are screened out, and then computational results are obtained by using DEA method. It is proved that this new presented approach can evaluate the firm which implements lean production exactly and objectively, and improve the applicability and practicability of the lean production.