以粒子群最佳化之協商解決產品協同設計多議題衝突問題

Using PSO Negotiation to Resolve the Multi-Issue Conflict Problem of Product Collaborative Design

游柏人(Bo-Ren You)

指導教授 ： 饒忻

中原大學/電機資訊學院/工業與系統工程研究所/碩士(2009年)

https://doi.org/10.6840/CYCU.2009.00853

摘要

對於不同公司之產品協同設計，各參與成員均有其自身之利益考量，並非總是願意讓步，因此衝突管理為不可避免的重要問題。本研究以協商方式來解決衝突問題，以粒子群最佳化演算法為基礎的協商，來解決各設計者的設計衝突，找出雙方最滿意（聯合總效用值最高）的設計參數。本研究以直齒圓柱齒輪設計為例，協商之議題為材料、價格、品質、模數、小齒輪齒數及齒寬係數。本研究同時利用基因演算法進行協商，以比較兩種方法在解決協同產品設計上的有效性。

關鍵字

基因演算法 ； 粒子群最佳化 ； 協商 ； 產品協同設計

並列摘要

In the process of collaborative product design, each participating member from different companies has his own interest and is not always willing to make concession; therefore, the conflict management is an inevitable and important task. This research presents a negotiation approach with the Particle Swarm Optimization (PSO) method to resolve the conflict problem between designers in order to find the optimal design parameters with the highest joint utility. This study takes the design of spur gear as an example and the negotiation issues are material, price, quality, modulus, number of teeth for driving gear, and coefficient of gear face width. This study also uses the Genetic Algorithm method to go through the same process as PSO, and then we compare the effectiveness of resolving the conflict problem in collaborative product design between two methods.

並列關鍵字

Genetic Algorithm ； Particle Swarm Optimization ； Collaborative Product Design ； Negotiation

參考文獻

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