Papers by Author: Guang Hui Zhou

Abstract: Cutter selecting is a key point in the machining process, and also is an important way to improve the green degree of the cutting process. The conventional expert systems have been unable to meet the requirements of modern green manufacturing. A knowledge description method based on ontology has been adopted in this paper in order to express the complexity and diversity of the cutter selecting knowledge better. A low carbon manufacturing model is constructed to evaluate the selecting scheme reasonably. The results show the presented method not only improves the efficiency and correctness of cutter selecting, but also ensures the practicality of selecting results.

Abstract: Specific scenario of competitive relationships like cost and revenue existing between different enterprises which be linked should be taken into account in generating the optimal status based on a non-cooperative game-theoretic mathematical solution for each link in EIS. Paper proposed three-level nested solution algorithm by developing the lineation method to find the NE point of the game. The computational results showed that the proposed lineation-based three-level nested solution algorithm is capable to obtain optimal solution for the test problems.

Abstract: To deal with uncertain dynamic interferences occurred in the workshop, and meet the competition requirements of jobs submitted by different customers, a dynamic job-shop scheduling model based on game theory is presented. In order to find the Nash equilibrium point of the model effectively, dynamic rescheduling judgment based on event-driven policy is adopted, and a hybrid genetic algorithm is designed. The case study is carried out to demonstrate the validity of above dynamic job-shop scheduling methods.

Abstract: In the 6σ-based product quality management system, influencing factors of 5M1E (man, machine, material, method, measure and environment) are the key points to ensure the quality of products reach 6σ level. However, because the traditional quality control methods only focus on the factors of machine, material, method and measure but ignore the factors of man and environment and their relationship on product quality, the 6σ level objective of product quality cannot be implemented well. As such, this study proposes an improving approach for 6σ-based multi-process machining environment whose objective is to build the connection relationship and model among operating environment, workers and product quality. Through adjusting the values of operating environmental parameters, the behaviors of workers on machines can be controlled and the product quality can be improved. This study provides a new solution for 6σ-based product quality control and management.

Abstract: This paper presents a new kind of scheduling solution for multiple design tasks in networked developing environments. The main contributions of this study can be focused on three points: The first is to distinguish the concepts and contents of the task scheduling in the networked developing environments. The second is to construct a game-theory mathematical model to deal with this new multiple design tasks scheduling problem. In the presented mathematical model, the players, strategies and payoff are given separately. Therefore, obtaining the optimal scheduling results is determined by the Nash equilibrium (NE) point of this game. In order to find the NE point, a genetic algorithm (GA)-based solution algorithm to solve this mathematical model is proposed. Finally, a numerical case study is presented to demonstrate the feasibility of the methods.