Regional cluster analysis of Mainland China based on factors of the reliability of air-conditioning systems

Jie, Lilin; Liu, Weidong; Qiu, Li-ping; Teng, Shasha; Sun, Zheng

doi:10.1080/23744731.2016.1250561

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…ω 1 , ω 2 , and ω 3 are the weight coefficients of three types of distance and satisfy the constrained equation ω 1 + ω 2 + ω 3 = 1. The three types of distance and the weight coefficients are similar to those used in [4].…”

Section: Use Reliability Predictionmentioning

confidence: 99%

“…In the first case, i.e., when K = 0 and y(x) = a 0 , regardless of the changes in the integrated distance between two different sub-regions, the difference degree of use failure rate in the two sub-regions is assumed to be constant, which is inconsistent with [4] and [45]. Consequently, K = 0 is not consistent with objective actual conditions.…”

Section: Use Reliability Predictionmentioning

confidence: 99%

“…including selling price, warranty period, and post-warranty 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.…”

Section: Introductionmentioning

confidence: 99%

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Sub-Region Warranty Differential Pricing Optimization Strategy Based on Regional Granularity of Use Reliability

Jie

Liu

et al. 2020

IEEE Access

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Despite the various advantages of existing warranty designs, these designs are still limited to inherent reliability and ignore the interaction between use reliability and regional difference. A new sub-region warranty differential pricing strategy based on the regional granularity of use reliability is proposed to solve these issues. A use reliability prediction model based on regional granularity partition results and after-sales failure data is established to evaluate product use reliability accurately in different sub-regions. Then, a novel high-dimensional optimization model that considers the regional difference in use reliability, warranty, and price is developed to optimize the regional warranty differential pricing strategy. Two scenarios for pricing and warranty, namely, unified and partition warranty schemes, are considered, and the necessary optimality conditions for each scenario are determined. Afterward, a practical case study is conducted in the air-conditioning industry to verify the performance of the proposed model. The sensitivity of the model is also analyzed. Numerical experiments show that the sub-region warranty differential pricing strategy allows for a suitable trade-off among use reliability, warranty, and selling price. Moderately reducing the selling price of sub-regions with high use reliability and increasing the selling price of sub-regions with low use reliability can enhance profitability. This work provides manufacturers with guidelines on designing sub-region warranty differential pricing strategies.INDEX TERMS Sub-region warranty, differential pricing, use reliability, high-dimensional optimization model, air-conditioner.

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Section: Use Reliability Predictionmentioning

confidence: 99%

Section: Use Reliability Predictionmentioning

confidence: 99%