Pub Date : 2013-07-17DOI: 10.1109/ICSSSM.2013.6602524
Pengfei Cheng, Weixian Xue
As the market competition goes fiercer, more and more service firms begin to improve their service quality by encouraging customers participating in the service production and delivery process. Although customer participation's positive value was discussed by many researchers, some recent studies showed inconsistent conclusions which indicated that customer participation increase employee job stress. This paper proposes a concept model that delineates customer expertise's moderating effect on the relationship between customer participation and service quality. Through a survey of 324 consumers in hairstyle industry, a hierarchical multiple regression was performed to check the model and hypotheses. The results indicate that customer expertise shows positive main effect on service quality as well as positive moderating effect on the relationship between customer participation and service quality.
{"title":"Does customer participation improve service quality? The moderating effects of customer expertise","authors":"Pengfei Cheng, Weixian Xue","doi":"10.1109/ICSSSM.2013.6602524","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602524","url":null,"abstract":"As the market competition goes fiercer, more and more service firms begin to improve their service quality by encouraging customers participating in the service production and delivery process. Although customer participation's positive value was discussed by many researchers, some recent studies showed inconsistent conclusions which indicated that customer participation increase employee job stress. This paper proposes a concept model that delineates customer expertise's moderating effect on the relationship between customer participation and service quality. Through a survey of 324 consumers in hairstyle industry, a hierarchical multiple regression was performed to check the model and hypotheses. The results indicate that customer expertise shows positive main effect on service quality as well as positive moderating effect on the relationship between customer participation and service quality.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129449489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-07-17DOI: 10.1109/ICSSSM.2013.6602631
Lu Chen, Qiang Su
It is a common view that users' browsing behaviors reflect their true interest in commodities at an e-commerce site. With the development of E-commerce, users' detailed navigating and purchasing behaviors can be completely stored. Clickstream data are records of users' browsing behaviors, which provide information about the path viewed by users and their access time on each page. Usually, personalized services can be offered based on this information by e-commerce service providers. To facilitate dynamic and personalized commodity recommendations, not only within-category but also across-category, an interest oriented method based on clickstream data mining is proposed in this paper to cluster users. A new definition of users' interest is introduced for the first time as a set of the preference for commodity categories. In order to describe users' behaviors and reflect their interest, three main indicators category visiting path, browsing frequency and relative length of access time are taken into consideration and refined from clickstream data. According to these indicators, an improved clustering algorithm with rough set theory is used to cluster users with similar interest. The experimental result shows that this algorithm is effective and applicable. The result of this proposed algorithm can be applied to support decision making for e-commerce sites.
{"title":"Discovering user's interest at E-commerce site using clickstream data","authors":"Lu Chen, Qiang Su","doi":"10.1109/ICSSSM.2013.6602631","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602631","url":null,"abstract":"It is a common view that users' browsing behaviors reflect their true interest in commodities at an e-commerce site. With the development of E-commerce, users' detailed navigating and purchasing behaviors can be completely stored. Clickstream data are records of users' browsing behaviors, which provide information about the path viewed by users and their access time on each page. Usually, personalized services can be offered based on this information by e-commerce service providers. To facilitate dynamic and personalized commodity recommendations, not only within-category but also across-category, an interest oriented method based on clickstream data mining is proposed in this paper to cluster users. A new definition of users' interest is introduced for the first time as a set of the preference for commodity categories. In order to describe users' behaviors and reflect their interest, three main indicators category visiting path, browsing frequency and relative length of access time are taken into consideration and refined from clickstream data. According to these indicators, an improved clustering algorithm with rough set theory is used to cluster users with similar interest. The experimental result shows that this algorithm is effective and applicable. The result of this proposed algorithm can be applied to support decision making for e-commerce sites.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126271057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-07-17DOI: 10.1109/ICSSSM.2013.6602556
G. Ji, Yang Zhao
E-commerce enterprises concentrate their efforts on the main business, and outsource their logistics business to the professional third-party logistics company by signing a contract. This paper analyzes the most of e-commerce enterprises why to outsource their logistics business in China and elaborates the advantages and disadvantages of logistics outsourcing in the e-commerce enterprises. Based on building the profit model of logistics outsourcing, analyze the profit functions of logistics enterprise and e-commerce enterprise. Our conclusions provide the supports for the e-commerce enterprises which outsource their logistics business.
{"title":"Analyze profit model of logistics outsourcing in the e-commerce enterprise","authors":"G. Ji, Yang Zhao","doi":"10.1109/ICSSSM.2013.6602556","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602556","url":null,"abstract":"E-commerce enterprises concentrate their efforts on the main business, and outsource their logistics business to the professional third-party logistics company by signing a contract. This paper analyzes the most of e-commerce enterprises why to outsource their logistics business in China and elaborates the advantages and disadvantages of logistics outsourcing in the e-commerce enterprises. Based on building the profit model of logistics outsourcing, analyze the profit functions of logistics enterprise and e-commerce enterprise. Our conclusions provide the supports for the e-commerce enterprises which outsource their logistics business.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124348043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-07-17DOI: 10.1109/ICSSSM.2013.6602620
Z. Song, C. Hao, Daqing Zheng
Participation actively is the key to the development of SNS. Based on the theory of perceived risk and involvement, the research model of user's participation behavior in SNS was built. Empirical data was collected from six domestic popular SNS website in China, and analyzed through structural equation model. The results show that trust and higher degree of involvement are contributed to users' participation. Although the influence of perceived risk on users' participation is statistically insignificant, it has the negative correlation with trust. Two types of antecedent factors of involvement degree, that is relational embeddedness and flow experience, have positive effects. Therefore, providing individualization services of relationship maintenance and special entertainment experiences will help encouraging users to involve in SNS. And actively constructing and maintaining trust environment is also the important approach for SNS operators to attract more users to SNS.
{"title":"Empirical study on users' participation behavior in SNS based on theory of perceived risks and involvement degree","authors":"Z. Song, C. Hao, Daqing Zheng","doi":"10.1109/ICSSSM.2013.6602620","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602620","url":null,"abstract":"Participation actively is the key to the development of SNS. Based on the theory of perceived risk and involvement, the research model of user's participation behavior in SNS was built. Empirical data was collected from six domestic popular SNS website in China, and analyzed through structural equation model. The results show that trust and higher degree of involvement are contributed to users' participation. Although the influence of perceived risk on users' participation is statistically insignificant, it has the negative correlation with trust. Two types of antecedent factors of involvement degree, that is relational embeddedness and flow experience, have positive effects. Therefore, providing individualization services of relationship maintenance and special entertainment experiences will help encouraging users to involve in SNS. And actively constructing and maintaining trust environment is also the important approach for SNS operators to attract more users to SNS.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124112273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-07-17DOI: 10.1109/ICSSSM.2013.6602537
Xinli Zhang, Ting Zhu, L. Luo, Chang-zheng He, Yu Cao, Yingxi Shi
Emergency department (ED) crowding has developed into a risk that severely impacts on the emergency medical service quality and access to health care. With regard to the essential cause of crowding, subjectively, it results from low efficiency of resource collocation or incomprehension of the patient flow rule; objectively, arises from the low patient flow rate. Hence, the prediction of patient flow in emergency department is significant in providing early warning of ED crowding for the interest department or staff, monitoring and controlling the condition of ED crowding, providing the policy to alleviate Emergency department (ED) crowding. The proposed methods for forecasting ED patient flow and crowding merely focus on temporal near-future prediction. In this paper, the authors suggest a patient flow network for supporting Markov chain model that forecasts ED patient flow rule; namely, it is an approach intended to predict the space transfer trend of patient flow from an ED module to another based on the ED process. The authors mainly concentrate on expounding the principle of the Markov chain model and comparing subsequent real-time data with those predicted. Preliminary results suggest that the proposed model is of considerable ease of use and of great value for forecasting the ED crowding and patient flow.
{"title":"Forecasting emergency department patient flow using Markov chain","authors":"Xinli Zhang, Ting Zhu, L. Luo, Chang-zheng He, Yu Cao, Yingxi Shi","doi":"10.1109/ICSSSM.2013.6602537","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602537","url":null,"abstract":"Emergency department (ED) crowding has developed into a risk that severely impacts on the emergency medical service quality and access to health care. With regard to the essential cause of crowding, subjectively, it results from low efficiency of resource collocation or incomprehension of the patient flow rule; objectively, arises from the low patient flow rate. Hence, the prediction of patient flow in emergency department is significant in providing early warning of ED crowding for the interest department or staff, monitoring and controlling the condition of ED crowding, providing the policy to alleviate Emergency department (ED) crowding. The proposed methods for forecasting ED patient flow and crowding merely focus on temporal near-future prediction. In this paper, the authors suggest a patient flow network for supporting Markov chain model that forecasts ED patient flow rule; namely, it is an approach intended to predict the space transfer trend of patient flow from an ED module to another based on the ED process. The authors mainly concentrate on expounding the principle of the Markov chain model and comparing subsequent real-time data with those predicted. Preliminary results suggest that the proposed model is of considerable ease of use and of great value for forecasting the ED crowding and patient flow.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132516250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-07-17DOI: 10.1109/ICSSSM.2013.6602498
Chen Fengwen, Liu Niankang, Y. Jun, Wang Yunqiao
Constructing a theoretical model based entrepreneurs functions perspective to analysis the transformation of economic growth patterns, we conclude that entrepreneur functions can promote technological progress, and new capital and new labor are easier to transfer to R&D sector if the intensity of entrepreneurship is stronger, and the main ways to promote transformation of economic growth patterns are the optimal allocation of resources and the promotion of technological progress. During the analysis towards provincial panel data from 1993 to 2010,we prove that the entrepreneurship is an important explanatory variable of economic growth pattern.
{"title":"Do entrepreneurs promote transformation of the economic growth pattern? New evidence from the 1993–2008 provincial panel data in China","authors":"Chen Fengwen, Liu Niankang, Y. Jun, Wang Yunqiao","doi":"10.1109/ICSSSM.2013.6602498","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602498","url":null,"abstract":"Constructing a theoretical model based entrepreneurs functions perspective to analysis the transformation of economic growth patterns, we conclude that entrepreneur functions can promote technological progress, and new capital and new labor are easier to transfer to R&D sector if the intensity of entrepreneurship is stronger, and the main ways to promote transformation of economic growth patterns are the optimal allocation of resources and the promotion of technological progress. During the analysis towards provincial panel data from 1993 to 2010,we prove that the entrepreneurship is an important explanatory variable of economic growth pattern.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130994570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-07-17DOI: 10.1109/ICSSSM.2013.6602595
Ze-yu Di, Shijun Liu, C. Pu, Xiaoning Hao
Scalability is one of the many challenges in designing and operating SaaS-type applications, which demands dynamic generation, composition, deployment, and monitoring of applications. A fundamental problem that confronts such applications is the efficient approach to evaluate the performance of the applications and resource utilization before they actually deployed. In this paper, S-BM, a benchmark suite for supplier relationship management (SRM) applications is presented in terms of architecture, workloads, and key metrics. The complete implementation description and experiments in typical workloads are also presented. S-BM provides support for two key considerations when deploy SRM applications for new tenants: performance changes according to different business scale and performance changes when deployed in different hosting environments. S-BM generates workloads adapts different tenant's requirements as well as their different business scales. Results from the emulations show that S-BM can help evaluating the performances and quantifying the optimized deployment efficiently.
{"title":"S-BM: A benchmark suite for multi-tenant supplier relationship management service","authors":"Ze-yu Di, Shijun Liu, C. Pu, Xiaoning Hao","doi":"10.1109/ICSSSM.2013.6602595","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602595","url":null,"abstract":"Scalability is one of the many challenges in designing and operating SaaS-type applications, which demands dynamic generation, composition, deployment, and monitoring of applications. A fundamental problem that confronts such applications is the efficient approach to evaluate the performance of the applications and resource utilization before they actually deployed. In this paper, S-BM, a benchmark suite for supplier relationship management (SRM) applications is presented in terms of architecture, workloads, and key metrics. The complete implementation description and experiments in typical workloads are also presented. S-BM provides support for two key considerations when deploy SRM applications for new tenants: performance changes according to different business scale and performance changes when deployed in different hosting environments. S-BM generates workloads adapts different tenant's requirements as well as their different business scales. Results from the emulations show that S-BM can help evaluating the performances and quantifying the optimized deployment efficiently.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127208478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-07-17DOI: 10.1109/ICSSSM.2013.6602549
Hung-Chia Lin, W. Chiu, Cheng-Tung Chang, Shieh-Liang Chen
The service industry in Taiwan accounted for 68.8% of GDP in 2011, equivalent to the same level of major industrial countries. The development of the industry structure in Taiwan has also followed the same trends as advanced countries. Strengthening the development of knowledge-intensive business services (KIBS) is an important issue for industry development and policy planning. KIBS is an economic activity that relates to the creation, accumulation and diffusion of knowledge. Miles et al. divided KIBS into P-KIBS and T-KIBS. KIBS has been introduced to the service industry to give add value and increase competiveness[1]. In light of the above, this research uses information and communication companies that grew quickly in the last decade and collected a total of 1,890 pieces of secondary data. Each piece of collected data has been analyzed and determined through multiple databases before being put through semantic analysis and content analysis. From this research it was found that: (1) clients can be divided into eight types (general, business, financial governmental, specific areas and ethnic groups, int ernational, educational, and medical service clients); (2) products can be divided into four types (mobility value-added, digital convergence, light era, and cloud computing and medical services); (3) the level of innovation can be divided into six types (service extension, service upgrade, major innovation, style change, providing new services, and newly emergent business). According to the analysis results and detailed interviews with experts, an innovative strategy for information and communication services has been developed.
{"title":"Investigation of development strategies in knowledge-intensive business services-an example from Chunghwa Telecom","authors":"Hung-Chia Lin, W. Chiu, Cheng-Tung Chang, Shieh-Liang Chen","doi":"10.1109/ICSSSM.2013.6602549","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602549","url":null,"abstract":"The service industry in Taiwan accounted for 68.8% of GDP in 2011, equivalent to the same level of major industrial countries. The development of the industry structure in Taiwan has also followed the same trends as advanced countries. Strengthening the development of knowledge-intensive business services (KIBS) is an important issue for industry development and policy planning. KIBS is an economic activity that relates to the creation, accumulation and diffusion of knowledge. Miles et al. divided KIBS into P-KIBS and T-KIBS. KIBS has been introduced to the service industry to give add value and increase competiveness[1]. In light of the above, this research uses information and communication companies that grew quickly in the last decade and collected a total of 1,890 pieces of secondary data. Each piece of collected data has been analyzed and determined through multiple databases before being put through semantic analysis and content analysis. From this research it was found that: (1) clients can be divided into eight types (general, business, financial governmental, specific areas and ethnic groups, int ernational, educational, and medical service clients); (2) products can be divided into four types (mobility value-added, digital convergence, light era, and cloud computing and medical services); (3) the level of innovation can be divided into six types (service extension, service upgrade, major innovation, style change, providing new services, and newly emergent business). According to the analysis results and detailed interviews with experts, an innovative strategy for information and communication services has been developed.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126904323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-07-17DOI: 10.1109/ICSSSM.2013.6602564
Xiaoyu Wu, J. Zhao
The 2008 financial tsunami stimulated intense discussions on the effectiveness and efficiency of the current practices in financial risk management in banks. Under stricter financial regulations after the crisis, bank senior managers are facing the challenge to balance between liquidity and profitability. Financial information services supporting financial risk management decisions are in great need to meet the new regulatory requirements in Basel III. However, risk management services available in the market (e.g., consulting, analytics and reporting services) are lack of capability to handle financial market dynamics. Currently, academic research efforts mainly use empirical and static approaches to measurement and management of risk in banks but research on complex financial systems is scant. To address these problems, we propose a financial analytic based service architecture consists of four service levels to support decision making in liquidity and revenue management under the Basel III framework. Real data on liquidity shortfall during the financial tsunami is used to evaluate the proposed architecture. The service architecture also achieves agility by providing modular functions so that the decision model can be easily extended and modified by service users.
{"title":"A financial analytic based service architecture: decision support under the Basel III framework","authors":"Xiaoyu Wu, J. Zhao","doi":"10.1109/ICSSSM.2013.6602564","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602564","url":null,"abstract":"The 2008 financial tsunami stimulated intense discussions on the effectiveness and efficiency of the current practices in financial risk management in banks. Under stricter financial regulations after the crisis, bank senior managers are facing the challenge to balance between liquidity and profitability. Financial information services supporting financial risk management decisions are in great need to meet the new regulatory requirements in Basel III. However, risk management services available in the market (e.g., consulting, analytics and reporting services) are lack of capability to handle financial market dynamics. Currently, academic research efforts mainly use empirical and static approaches to measurement and management of risk in banks but research on complex financial systems is scant. To address these problems, we propose a financial analytic based service architecture consists of four service levels to support decision making in liquidity and revenue management under the Basel III framework. Real data on liquidity shortfall during the financial tsunami is used to evaluate the proposed architecture. The service architecture also achieves agility by providing modular functions so that the decision model can be easily extended and modified by service users.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114696231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Statistical process control techniques have found widespread application in industry for process improvement and for estimating process parameters or determining capability. Unfortunately, the assumption of uncorrelated or independent observations is not even approximately satisfied in some manufacturing processes. All manufacturing processes are driven by inertial elements, and the frequency of sampling becomes short relative to the process time constant the sequence of process observations will be autocorrelated. There are two major approaches in dealing with autocorrelated process data in process control, that is, residual-based approaches and methods that modify control limits to adjust for autocorrelation. This paper investigates control charts for detecting special causes in an ARIMA(0,1,1) process that is being adjusted automatically after each observation using a minimum mean-squared error adjustment policy. It is assumed that these special causes can change the process mean, process variance, the moving average parameter, or the effect of the adjustment mechanism. The objective is to find control charts or combinations of control charts that will be effective for detecting special causes that results in any of these types of parameter changes in any or all of the parameters.
{"title":"Statistical process control on autocorrelated process","authors":"Dja-Shin Wang, Ya-Wen Yu, Shengxian Wang, Bor-Wen Cheng","doi":"10.1109/ICSSSM.2013.6602577","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602577","url":null,"abstract":"Statistical process control techniques have found widespread application in industry for process improvement and for estimating process parameters or determining capability. Unfortunately, the assumption of uncorrelated or independent observations is not even approximately satisfied in some manufacturing processes. All manufacturing processes are driven by inertial elements, and the frequency of sampling becomes short relative to the process time constant the sequence of process observations will be autocorrelated. There are two major approaches in dealing with autocorrelated process data in process control, that is, residual-based approaches and methods that modify control limits to adjust for autocorrelation. This paper investigates control charts for detecting special causes in an ARIMA(0,1,1) process that is being adjusted automatically after each observation using a minimum mean-squared error adjustment policy. It is assumed that these special causes can change the process mean, process variance, the moving average parameter, or the effect of the adjustment mechanism. The objective is to find control charts or combinations of control charts that will be effective for detecting special causes that results in any of these types of parameter changes in any or all of the parameters.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121912774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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