Research On Warranty Optimization Design For Air-conditioning Based On Operational Reliability

Warranty design is not only an important process to control and reduce warranty costs,but also an effective way to increase customer satisfaction with after-sales service and enterprise profits.Reliability has become an important indicator of product quality attributes and a key factor affecting product warranty design.There may be a great difference in the operational reliability of products distributed in different geographical regions.At present,the research on warranty is mainly based on the quality level of product or the inherent reliability.The study about the optimal design of warranty strategy from the perspectives of operational reliability and overall situation of enterprise management is still absent.Therefore,the air-conditioning is taken as the research object in this thesis.By mean of theoretical analysis and experimental research,regional difference of factors influencing operational reliability,regional clustering algorithms,evaluation and prediction of operational reliability,warranty optimization design models and warranty simulation analysis system dynamics models are studied,respectively.Finally,the warranty decision analysis of a certain type of air-conditionings is presented to validate the research results.The main research and contributions of this thesis are as follows:1.Analysis and investigation about the regional difference of factors that influence the operational reliability of air-conditioning is carried out from the perspectives of work environment and user habit.Besides,seven indicators including temperature,humidity,sunlight,precipitation,air velocity,growth rate of total retail sales of consumer goods,and average propensity of consumption are extracted.Moreover,the quantitative models of clustering indicators and a criterion for judging cooling and heating of air-conditioning are proposed.In addition,the comprehensive evaluation model of regional clustering by decomposition and synthesis method is established to avoid one-sidedness of single indicator and reduce the solving complexity.2.To solve the problems of data deficiencies and data loss,panel data models are established on basis of natural environmental factors and user habit factors,aiming at making full use of the dynamic and local change attribute information of the factors of operational reliability.In addition,the Ward method is used to calculate weight coefficients of different factors and different distance.Also,this study reconstructs the similarity measure distance function by a weighted combination of absolute quantity Euclidean distance,incremental speed Euclidean distance and variation coefficient Euclidean distance,and then develops a weighted Ward clustering algorithm.The weight coefficients are calculated by the objective information of actual data,which make cluster analysis more effective and flexible.3.With an aim to overcome low efficiency and improve the accuracy of fuzzy clustering,two novel hybrid fuzzy clustering algorithms with different fusion mechanisms are proposed.By introducing information entropy and chaotic map into canonical cellular genetic algorithm,as well as using the new dynamic crossover and two-combination mutation operations,an improved self-adaptive cellular genetic algorithm(IDCGA)is presented to optimize the fuzzy C-means(FCM).And then a self-adaptive cellular genetic fuzzy clustering algorithm is proposed to strengthen the capability of global search.Furthermore,an optimal-selection-based strategy is presented and then a dynamic optimal-selection cellular genetic fuzzy clustering algorithm is developed by automatically integrating IDCGA with FCM according to the variation of population entropy.The results show that the presented algorithms have high clustering accuracy and stability,but the latter has better efficiency.Based on this,a multivariable high-dimensional clustering model of operational reliability is established on the basis of working environmental factors and user habit factors.In addition,a regional granularity decision method for operational reliability is proposed based on the above dynamic optimal-selection cellular genetic fuzzy clustering algorithm.4.Based on regional granularity partition results,a mathematical model reflecting the quantitative relationship between operational reliability and different geographical regions is established to predict operational reliability and its' influence coefficient in different regions.According to different warranty decision-making schemes,an optimization design model for unified warranty and a high-dimensional optimization model for regional warranty differential pricing strategy on the basis of operational reliability are established to quantitatively study the effect of regional difference of operational reliability on product price and warranty period.Finally,the derivation proves that there are optimal solutions for the two models,and the methods for solving the two models are also provided.5.For the continuous mass-produced products,two kinds of system dynamics models based on systematic analysis of the factors which influence the warranty strategy and the business performance are developed by taking into account the regional difference of operational reliability,inherent reliability growth,warranty costs,warranty period,sales price,customer satisfaction,brand influence and etc.The first one is a system dynamics model for warranty period simulation analysis.This model is designed to optimize the warranty period decision and adopts a unified pricing strategy.The second one is a regional warranty differential pricing strategy system dynamics model.In detail,this model comprehensively considers the regional difference of operational reliability,inherent reliability growth and the length of the warranty period,thereby implementing a differential pricing strategy.6.Based on the proposed regional clustering algorithms,warranty optimization design models and system dynamic models for warranty simulation analysis,the entire process of the specific implementation of warranty optimization design for air-conditioning based on operational reliability is elaborated by taking the warranty decision of an air-conditioning enterprise as an empirical case.Thus,it is meaningful enough to prove the correctness and effectiveness of the theoretical research.The results of this thesis show that the proposed models can be effectively applied to optimize the warranty period decision and the regional warranty differential pricing decision for air-conditioning.It also provides good reference value for the partition warranty decision and personalized marketing strategy of solar photovoltaic systems,outdoor lighting systems,wind power equipment,and etc.