L. Jie's research while affiliated with Nanchang University and other places
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Publications (4)
Based on the systematic analysis of the factors which influence the warranty strategy and the business performance, a new regional warranty differential pricing strategy on the basis of operational reliability was proposed. A mathematical model reflecting the quantitative relationship between operational reliability and different geographical regio...
Based on the analysis of factors which influenced the operational reliability of Air Conditioning (AC), aiming at the minimum difference of operational reliability of AC in similar regions, a multivariable high-dimensional clustering model of operational reliability on the basis of working environmental factors and user habit factors was establishe...
To research the influence of warranty period on business performance and to make the enterprise design a more scientific and reasonable warranty period, the interaction between maintenance strategy and enterprise business performance factors from two dimensions of technology and marketing was analyzed. By considering the continuous quality improvem...
With an aim to minimize the difference of use reliability of air conditioning (AC) systems in different regions, a clustering method for classifying regions based on factors of the reliability of AC systems is proposed. This study establishes a comprehensive evaluation model of regional clustering on the basis of analysis and investigation about th...
Citations
... In the sales phase, the order quantity of the retailer is equal to the market demand quantity. Customers can generally evaluate the perceived quality of products based on the warranty information, which will affect the satisfaction of products, and then affect the sales price and demand [11]. On the other hand, sales price is the only profit-generating factor in decision-making, which will affect the demand of PSP [12]. ...
... To the best of our knowledge, very few studies have focused on the correlation between use reliability and regional difference. In our previous work [45], [46], we constructed a multivariable high-dimensional clustering model of use reliability and utilized the improved clustering algorithm to solve the model, which is aimed at the minimum difference of use reliability in similar regions. We obtained optimal regional granularity partition results on use reliability. ...
... Warranty policy decisions should consider not only the key marketing factors, including selling price, warranty period, and postwarranty commitments, but also the inherent technical factors, such as product quality and reliability [2], [3]. However, the use reliability of products distributed in different geographical regions exhibits a significant difference because the working conditions and service time of products vary from region to region [4]. Therefore, developing a scientific and reasonable warranty strategy from the perspective of product use reliability is meaningful. ...
