Archives > Volume 15 | Number 3 | September 2020 > pp 307–317
Advances in Production Engineering & Management
Volume 15 | Number 3 | September 2020 | pp 307–317
Optimization of process performance by multiple pentagon fuzzy responses: Case studies of wire-electrical discharge machining and sputtering process
Al-Refaie, A.; Lepkova, N.; Abbasi, G.; Bani Domi, G.
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A B S T R A C T
This research developed mathematical models to optimize process performance for multiple pentagon fuzzy quality responses. Initially, each quality response was represented by a pentagon membership function. Then, the combination of optimal factor levels was obtained for each response replicate. Those optimal combinations were then used to construct pentagon regression models for each response. A pentagon fuzzy optimization model was formulated and solved to determine the combination of optimal factor levels at each element of pentagon response's fuzzy number. Two real case studies, i.e. wire-electrical discharge machining and sputtering process, were provided for illustration. Optimal results of the two case studies revealed that the proposed procedure effectively optimized performance under uncertainty and provided larger improvement in multiple quality characteristics. In conclusion, the proposed procedure may enhance the process engineer's knowledge about effects of uncertainty on process/product performance and help practitioners decide the proper adjustments of factor levels in order to enhance performance of electrical discharge machining and sputtering process.
A R T I C L E I N F O
Keywords • Modeling and optimization; Fuzzy goal programming; Pentagon regression modelling; Pentagon fuzzy numbers; Wire electro-discharge machining (WEDM); Surface roughness (SR); Material removal rate (MRR); Sputtering process; Gallium-doped ZnO (GZO)
Corresponding author • Lepkova, N.
Article history • Received 7 August 2020, Revised 16 October 2020, Accepted 19 October 2020
Published on-line • 27 October 2020
E X P O R T C I T A T I O N
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