FUZZY MODELING APPROACH AND GLOBAL OPTIMIZATION FOR DUAL RESPONSE SURFACE

ABSTRACT: Dual Response Surface (DRS) with Lagrange multiplier is one of the most familiar classical multi response surface methods. Classical DRS optimization doesn’t concern about the quality characteristic of responses. In this paper, fuzzy approach is proposed for modeling DRS and quality characteristic of response simultaneously. The proposed method represented the object’s quality characteristic physically. The proposed method is applied to composite carbon drilling process and resulting nonlinear function that to be determined its optimal point. Many optimization methods fail to reach global optimum point because the non linear function is multimodal. Therefore, we used genetic algorithm for finding the global optimum point.  

Keywords: dual responses surface, quality characteristics, fuzzy, global optimum, genetic algorithms

Author: Muhammad Sjahid Akbar, Bambang Widjanorko Otok, Dedy Dwi Prastyo

Journal Code: jptindustrigg070006

Artikel Terkait :

Jp Teknik Industri gg 2007

• REGRESSION ANALYSIS OF PRODUCTIVITY USING MIXED EFFECT MODEL
• ROBUST-HYBRID GENETIC ALGORITHM FOR A FLOW-SHOP SCHEDULING PROBLEM (A Case Study at PT FSCM Manufacturing Indonesia)
• A REPLENISHMENT POLICY FOR ITEM WITH PRICE DEPENDENT DEMAND AND DETERIORATING UNDER MARKDOWN POLICY
• SERVICE QUALITY CONTROL MEASUREMENT: QUALITOMETRO II METHOD
• DEALING WITH KANO MODEL DYNAMICS: STRENGTHENING THE QUALITY FUNCTION DEPLOYMENT AS A DESIGN FOR SIX SIGMA TOOL
• DESIGN FOR SIX SIGMA
• Running-in as an Engineering Optimization