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International Journal of Industrial Engineering and Productional Research-، جلد ۲۶، شماره ۱، صفحات ۱-۱۱

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عنوان انگلیسی Corrugated Box Production Process Optimization Using Dimensional Analysis and Response Surface Methodology
چکیده انگلیسی مقاله Response surface methodology (RSM) is a statistical method useful in the modeling and analysis of problems in which the response variable receives the influence of several independent variables, in order to determine which are the conditions under which should operate these variables to optimize a corrugated box production process. The purpose of this research is to create response surface models through regression on experimental data which has been reduced using DA to obtain optimal processing conditions. Studies carried out for corrugated sheet box manufacturing industries having man machine system revealed the contribution of many independent parameters on cycle time. The independent parameters include anthropometric data of workers, personal data, machine specification, workplace parameters, product specification, environmental conditions and mechanical properties of corrugated sheet. Their effect on response parameter cycle time is totally unknown. The developed model was simulated and optimized with the aid of MATLAB R2011a and the computed value for cycle time is obtained and compared with experimental value. The results obtained showed that the correlation R, adjusted R2 and RMS error were valid.
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نویسندگان مقاله sachin mahakalkar | sachin mahakalkar
ycce nagpur india


vivek tatwawadi | vivek tatwawadi
dbacoe nagpur india


jayant گیری | jayant giri
ycce nagpur india


jayant modak | jayant modak
pcoe nagpur india



نشانی اینترنتی http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-658-1&slc_lang=en&sid=en
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کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده Optimization Techniques
نوع مقاله منتشر شده پژوهشی
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