面向顧客滿意度的廢舊機床再制造設計參數(shù)規(guī)劃方法
發(fā)布時間:2018-07-14 16:54
【摘要】:基于目前大多數(shù)再制造機床僅注重機床本身性能的恢復,從未無法達到預期市場競爭力的問題,結(jié)合顧客需求和廢舊機床再制造設計,構(gòu)建了再制造設計參數(shù)決策框架,并充分考慮顧客需求與再制造設計參數(shù)之間的不確定性,應用模糊非線性回歸法分析顧客需求與再制造設計參數(shù)之間以及不同再制造設計參數(shù)之間的模糊相關(guān)關(guān)系。同時,針對基于傳統(tǒng)模糊非線性回歸法的規(guī)劃方程不具備處理模糊關(guān)系的能力,導致規(guī)劃結(jié)果與實際情況偏離的情況,將模糊度融入規(guī)劃方程,構(gòu)建基于改進模糊非線性回歸法的廢舊機床再制造設計參數(shù)規(guī)劃方程。以某機床再制造企業(yè)的廢舊CAK6163的再制造設計過程為例,應用改進的再制造設計規(guī)劃方程對其再制造設計參數(shù)進行規(guī)劃。結(jié)果表明,由改進的規(guī)劃方程得到的再制造設計參數(shù),相對于傳統(tǒng)規(guī)劃方程,能夠獲得更高的顧客滿意度,進而有效提升了再制造機床的市場競爭力。
[Abstract]:Based on the fact that most of the remanufacturing machine tools only pay attention to the recovery of the performance of the machine tools themselves and never reach the expected market competitiveness at present, a decision frame of the remanufacturing design parameters is constructed based on the customer demand and the remanufacturing design of the waste machine tools. Considering the uncertainty between customer demand and remanufacturing design parameters, fuzzy nonlinear regression method is applied to analyze the fuzzy correlation between customer demand and remanufacturing design parameters and between different remanufacturing design parameters. At the same time, in view of the fact that the programming equation based on the traditional fuzzy nonlinear regression method does not have the ability to deal with the fuzzy relation, which leads to the deviation between the planning result and the actual situation, the ambiguity degree is incorporated into the programming equation. Based on the improved fuzzy nonlinear regression method, the parameter programming equation of the remanufacturing design of waste machine tools is established. Taking the remanufacturing design process of waste CAK6163 in a machine tool remanufacturing enterprise as an example, the remanufacturing design parameters are planned by using the improved remanufacturing design planning equation. The results show that compared with the traditional programming equation, the remanufacturing design parameters obtained by the improved programming equation can obtain higher customer satisfaction, and thus effectively enhance the market competitiveness of the remanufacturing machine tools.
【作者單位】: 沈陽工業(yè)大學機械工程學院;
【基金】:國家自然科學基金(51305279)~~
【分類號】:TG502
,
本文編號:2122299
[Abstract]:Based on the fact that most of the remanufacturing machine tools only pay attention to the recovery of the performance of the machine tools themselves and never reach the expected market competitiveness at present, a decision frame of the remanufacturing design parameters is constructed based on the customer demand and the remanufacturing design of the waste machine tools. Considering the uncertainty between customer demand and remanufacturing design parameters, fuzzy nonlinear regression method is applied to analyze the fuzzy correlation between customer demand and remanufacturing design parameters and between different remanufacturing design parameters. At the same time, in view of the fact that the programming equation based on the traditional fuzzy nonlinear regression method does not have the ability to deal with the fuzzy relation, which leads to the deviation between the planning result and the actual situation, the ambiguity degree is incorporated into the programming equation. Based on the improved fuzzy nonlinear regression method, the parameter programming equation of the remanufacturing design of waste machine tools is established. Taking the remanufacturing design process of waste CAK6163 in a machine tool remanufacturing enterprise as an example, the remanufacturing design parameters are planned by using the improved remanufacturing design planning equation. The results show that compared with the traditional programming equation, the remanufacturing design parameters obtained by the improved programming equation can obtain higher customer satisfaction, and thus effectively enhance the market competitiveness of the remanufacturing machine tools.
【作者單位】: 沈陽工業(yè)大學機械工程學院;
【基金】:國家自然科學基金(51305279)~~
【分類號】:TG502
,
本文編號:2122299
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