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International Journal of Supply and Operations Management، جلد ۳، شماره ۲، صفحات ۱۳۳۲-۱۳۵۰
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| عنوان فارسی |
A Fuzzy Goal Programming Approach for Optimizing Non-normal Fuzzy Multiple Response Problems |
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| چکیده فارسی مقاله |
In most manufacturing processes, each product may contain a variety of quality characteristics which are of the interest to be optimized simultaneously through determination of the optimum setting of controllable factors. Although, classic experimental design presents some solutions for this regard, in a fuzzy environment, and in cases where the response data follow non-normal distributions, the available methods do not apply any more. In this paper, a general framework is introduced in which NORTA inverse transformation technique and fuzzy goal programming are used to deal with non-normality distribution of the response data and the fuzziness of response targets respectively. Moreover, the presented framework uses a simulation approach to investigate the effectiveness of the determined setting of controllable factors obtained from statistical analysis, for optimization of sink mark index, deflection rate and volumetric shrinkage in plastic molding manufacturing processes. The accuracy of the proposed method is verified through a real case study. |
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| کلیدواژه‌های فارسی مقاله |
Non-normal multi- response optimization ، NORTA Inverse Transformation Technique ، Fuzzy goal programming ، Injection molding simulation ، |
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| عنوان انگلیسی |
A Fuzzy Goal Programming Approach for Optimizing Non-normal Fuzzy Multiple Response Problems |
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| چکیده انگلیسی مقاله |
In most manufacturing processes, each product may contain a variety of quality characteristics which are of the interest to be optimized simultaneously through determination of the optimum setting of controllable factors. Although, classic experimental design presents some solutions for this regard, in a fuzzy environment, and in cases where the response data follow non-normal distributions, the available methods do not apply any more. In this paper, a general framework is introduced in which NORTA inverse transformation technique and fuzzy goal programming are used to deal with non-normality distribution of the response data and the fuzziness of response targets respectively. Moreover, the presented framework uses a simulation approach to investigate the effectiveness of the determined setting of controllable factors obtained from statistical analysis, for optimization of sink mark index, deflection rate and volumetric shrinkage in plastic molding manufacturing processes. The accuracy of the proposed method is verified through a real case study. |
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| کلیدواژه‌های انگلیسی مقاله |
Non-normal multi- response optimization , NORTA Inverse Transformation Technique , Fuzzy goal programming , Injection molding simulation , |
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| نویسندگان مقاله |
| hamed mogouie
department of industrial and systems engineering, isfahan university of technology, isfahan, iran
سازمان اصلی تایید شده: دانشگاه صنعتی اصفهان (Isfahan university of technology)
| amir farshbaf geranmayeh
school of industrial engineering, college of engineering, university of tehran, tehran, iran
سازمان اصلی تایید شده: دانشگاه تهران (Tehran university)
| amirhossein amiri
industrial engineering department, faculty of engineering, shahed university, tehran, iran
سازمان اصلی تایید شده: دانشگاه شاهد (Shahed university)
| mahdi bashiri
industrial engineering department, faculty of engineering, shahed university, tehran, iran
سازمان اصلی تایید شده: دانشگاه شاهد (Shahed university)
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| نشانی اینترنتی |
http://system.khu.ac.ir/ijsom/browse.php?a_code=A-10-100-78&slc_lang=en&sid=en |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
Artificial intelligence & expert system |
| نوع مقاله منتشر شده |
Research paper |
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