To address the current situation where many small enterprises lack efficient management of customer data, this paper proposes a design and implementation plan of a customer relationship management (CRM) system based o...To address the current situation where many small enterprises lack efficient management of customer data, this paper proposes a design and implementation plan of a customer relationship management (CRM) system based on email service. It aims to solve the problems of data dispersion, untimely update and information redundancy in customer management of small and medium-sized enterprises. The system includes four core functional modules: historical email analysis, lead pool management, customer management and email archiving. Through email mining and web crawler technology, the system can extract potential customer information from historical emails and enrich lead data;the lead pool management module supports lead information maintenance, status tracking and conversion of high-value leads;the customer management module realizes the maintenance and dynamic tracking of customer information;the email management module provides the archiving of emails and attachments and the structured storage of basic email information. The system provides automated and intelligent customer information management, improves the work efficiency of sales staff, and provides an efficient customer relationship management solution for enterprises.展开更多
The widespread deployment of renewable energies and non-linear loads has led to serious harmonic pollution in electrical distribution networks.Evaluation of the harmonic contribution(HC)of each customer is a significa...The widespread deployment of renewable energies and non-linear loads has led to serious harmonic pollution in electrical distribution networks.Evaluation of the harmonic contribution(HC)of each customer is a significant task for power quality management.Most previous studies focus on periodic evaluation methods,where numerous data have to be collected in advance over a period(e.g.,one day).However,customer behaviors are time-varying and would lead to dynamic HCs,which can not be captured by traditional periodic evaluation methods.To address this issue,this paper presents a novel real-time HC evaluation method considering multiple dynamic customers.First,a two-stage iteration estimator is proposed based on the information fusion technique to quantify real-time HC of each customer.Then,to mitigate the negative effect of unknown background harmonics,a dominant index method is developed to determine credibility of the measurement data.On this basis,an adaptive gain selection strategy is proposed to improve accuracy of real-time HC evaluation.By doing so,the major harmonic contributor can be identified for implementing harmonic suppression and improving power quality.Finally,a typical IEEE system is utilized to verify the proposed methods.The results show that using the proposed method,evaluation errors can be reduced from about 10%to 2.5%.Moreover,the total harmonic distortion of voltage can be suppressed from 5.564%to 0.702%.Therefore,this research provides practical insights for addressing harmonic problems in power systems.展开更多
A clear understanding of customer needs is key to the success of new product development and customer-centric product design.Online reviews,particularly initial reviews,are commonly used as effective sources for minin...A clear understanding of customer needs is key to the success of new product development and customer-centric product design.Online reviews,particularly initial reviews,are commonly used as effective sources for mining customer requirements.Although customers may post truer and more objective supplementary reviews after a period of product use,such reviews are often overlooked when identifying customer requirements for product design improvement.In this study,we proposed a framework for identifying customer requirements by combining initial and supplementary reviews based on text mining.We categorized the identified customer needs into five product attribute categories using the Kano model.Two case studies were conducted in the laptop and cell phone industries to demonstrate the effectiveness of our method.Thus,dynamic customer requirements and satisfaction can be accurately mined and captured when considering supplementary reviews.In practice,the appropriate use of supplementary reviews may provide valuable guidance for product design and development strategies.展开更多
Considering a periodic review system where the online seller allows the customers to pay when the products are delivered to them(referred as cash-on-delivery payment scheme in this paper),the authors investigate the s...Considering a periodic review system where the online seller allows the customers to pay when the products are delivered to them(referred as cash-on-delivery payment scheme in this paper),the authors investigate the seller's joint pricing and inventory control policy with a finite planning horizon.In particular,the authors incorporate the customers' possible order cancellation behavior with the cash-on-delivery scheme.It can be proven that the base-stock list price policy is optimal under mild conditions.The authors also analyze the impact of the customers' forward looking behavior on the optimal policy.展开更多
文摘To address the current situation where many small enterprises lack efficient management of customer data, this paper proposes a design and implementation plan of a customer relationship management (CRM) system based on email service. It aims to solve the problems of data dispersion, untimely update and information redundancy in customer management of small and medium-sized enterprises. The system includes four core functional modules: historical email analysis, lead pool management, customer management and email archiving. Through email mining and web crawler technology, the system can extract potential customer information from historical emails and enrich lead data;the lead pool management module supports lead information maintenance, status tracking and conversion of high-value leads;the customer management module realizes the maintenance and dynamic tracking of customer information;the email management module provides the archiving of emails and attachments and the structured storage of basic email information. The system provides automated and intelligent customer information management, improves the work efficiency of sales staff, and provides an efficient customer relationship management solution for enterprises.
基金funded by The Science and Technology Development Fund,Macao SAR,China(File/Project no.SKL-IOTSC-2021-2023,0003/2020/AKP,FDCT/0022/2020/A1).
文摘The widespread deployment of renewable energies and non-linear loads has led to serious harmonic pollution in electrical distribution networks.Evaluation of the harmonic contribution(HC)of each customer is a significant task for power quality management.Most previous studies focus on periodic evaluation methods,where numerous data have to be collected in advance over a period(e.g.,one day).However,customer behaviors are time-varying and would lead to dynamic HCs,which can not be captured by traditional periodic evaluation methods.To address this issue,this paper presents a novel real-time HC evaluation method considering multiple dynamic customers.First,a two-stage iteration estimator is proposed based on the information fusion technique to quantify real-time HC of each customer.Then,to mitigate the negative effect of unknown background harmonics,a dominant index method is developed to determine credibility of the measurement data.On this basis,an adaptive gain selection strategy is proposed to improve accuracy of real-time HC evaluation.By doing so,the major harmonic contributor can be identified for implementing harmonic suppression and improving power quality.Finally,a typical IEEE system is utilized to verify the proposed methods.The results show that using the proposed method,evaluation errors can be reduced from about 10%to 2.5%.Moreover,the total harmonic distortion of voltage can be suppressed from 5.564%to 0.702%.Therefore,this research provides practical insights for addressing harmonic problems in power systems.
基金the National Natural Science Foundation of China(grant numbers 72171166,72032005 and 72261147706)。
文摘A clear understanding of customer needs is key to the success of new product development and customer-centric product design.Online reviews,particularly initial reviews,are commonly used as effective sources for mining customer requirements.Although customers may post truer and more objective supplementary reviews after a period of product use,such reviews are often overlooked when identifying customer requirements for product design improvement.In this study,we proposed a framework for identifying customer requirements by combining initial and supplementary reviews based on text mining.We categorized the identified customer needs into five product attribute categories using the Kano model.Two case studies were conducted in the laptop and cell phone industries to demonstrate the effectiveness of our method.Thus,dynamic customer requirements and satisfaction can be accurately mined and captured when considering supplementary reviews.In practice,the appropriate use of supplementary reviews may provide valuable guidance for product design and development strategies.
基金supported by the National Natural Science Foundation of China under Grant Nos.71201175,71301032,and 71171088Guangdong Natural Science Foundation under Grant Nos.S2011040001069 and S2012040008081Guangdong Educational Bureau Humanity&Social Science Fund under Grant No.2013WYXM0001
文摘Considering a periodic review system where the online seller allows the customers to pay when the products are delivered to them(referred as cash-on-delivery payment scheme in this paper),the authors investigate the seller's joint pricing and inventory control policy with a finite planning horizon.In particular,the authors incorporate the customers' possible order cancellation behavior with the cash-on-delivery scheme.It can be proven that the base-stock list price policy is optimal under mild conditions.The authors also analyze the impact of the customers' forward looking behavior on the optimal policy.
