Pub Date : 2014-12-01DOI: 10.1109/IEEM.2014.7058641
T. Schaeffler, Rudolf Kodes, M. Gepp, Nadja Hoßbach, A. Lüder
Many multi-national technology corporations face the challenge to bring their business closer to their international customers. This paper describes a framework how regionalization of engineering, i.e. the transfer of recurring technical activities, can be effectively instituted. The framework comprises a process model comprising 7 process phases and 20 phase-spanning focal topics which have to be addressed during a regionalization initiative. The process model has been developed based on real regionalization scenarios of a technology corporation. The assessment of these scenarios was based on a morphological analysis and showed that there are four underlying basic cooperation models for regionalization of engineering. They are named "Engineering Supplier, "Engineering Center", "Engineering Hub" and "Multiple Engineering Hubs". Regionalization scenarios differ in terms of application rationales and characteristics. The main findings of the assessment of the regionalization scenarios are explained and illustrated in this paper.
{"title":"Regionalization of engineering — Framework and scenarios","authors":"T. Schaeffler, Rudolf Kodes, M. Gepp, Nadja Hoßbach, A. Lüder","doi":"10.1109/IEEM.2014.7058641","DOIUrl":"https://doi.org/10.1109/IEEM.2014.7058641","url":null,"abstract":"Many multi-national technology corporations face the challenge to bring their business closer to their international customers. This paper describes a framework how regionalization of engineering, i.e. the transfer of recurring technical activities, can be effectively instituted. The framework comprises a process model comprising 7 process phases and 20 phase-spanning focal topics which have to be addressed during a regionalization initiative. The process model has been developed based on real regionalization scenarios of a technology corporation. The assessment of these scenarios was based on a morphological analysis and showed that there are four underlying basic cooperation models for regionalization of engineering. They are named \"Engineering Supplier, \"Engineering Center\", \"Engineering Hub\" and \"Multiple Engineering Hubs\". Regionalization scenarios differ in terms of application rationales and characteristics. The main findings of the assessment of the regionalization scenarios are explained and illustrated in this paper.","PeriodicalId":318405,"journal":{"name":"2014 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124053659","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 : 2014-12-01DOI: 10.1109/IEEM.2014.7058852
Perminderjit Singh, K. S. Sangwan
Employee involvement and employee training are most important and vital principles for the successful implementation of any newer manufacturing system or modern practice in any organization because the newer systems/practices require changed roles for people at all levels. The general human tendency to resist change understood properly may lead to dysfunctional implementation of newer systems/practices. Environmentally conscious manufacturing (ECM) being a new paradigm in manufacturing requires the changed roles for employees. The management must have measures to convince the shareholders that the plan to implement ECM has taken care of changed roles of people. This paper identifies the employee involvement and employee training measures for the successful implementation of ECM. The identified measures have been validated by a case study of Indian large scale enterprises. The measures identified from the literature have been validated by using SPSS for Windows statistical tool. The reliability and validity of the data has been assessed by the Cronbach alpha and factor analysis respectively. The results provide sure evidence that the identified measures are highly reliable and valid.
员工参与和员工培训是在任何组织中成功实施任何新制造系统或现代实践的最重要和至关重要的原则，因为新系统/实践要求各级人员改变角色。人类抵制正确理解的变化的普遍倾向可能导致新系统/实践的不正常实现。环境意识制造(ECM)作为一种新的制造模式，要求员工角色的转变。管理层必须采取措施，让股东相信，实施ECM的计划已经考虑到了人们角色的变化。本文确定了成功实施ECM的员工参与和员工培训措施。通过对印度大型企业的案例研究，验证了所确定的措施的有效性。从文献中确定的措施已通过使用SPSS for Windows统计工具进行验证。数据的信度和效度分别采用Cronbach alpha和因子分析进行评估。结果表明，所确定的措施具有较高的可靠性和有效性。
{"title":"Employee involvement and training in environmentally conscious manufacturing implementation for Indian manufacturing industry","authors":"Perminderjit Singh, K. S. Sangwan","doi":"10.1109/IEEM.2014.7058852","DOIUrl":"https://doi.org/10.1109/IEEM.2014.7058852","url":null,"abstract":"Employee involvement and employee training are most important and vital principles for the successful implementation of any newer manufacturing system or modern practice in any organization because the newer systems/practices require changed roles for people at all levels. The general human tendency to resist change understood properly may lead to dysfunctional implementation of newer systems/practices. Environmentally conscious manufacturing (ECM) being a new paradigm in manufacturing requires the changed roles for employees. The management must have measures to convince the shareholders that the plan to implement ECM has taken care of changed roles of people. This paper identifies the employee involvement and employee training measures for the successful implementation of ECM. The identified measures have been validated by a case study of Indian large scale enterprises. The measures identified from the literature have been validated by using SPSS for Windows statistical tool. The reliability and validity of the data has been assessed by the Cronbach alpha and factor analysis respectively. The results provide sure evidence that the identified measures are highly reliable and valid.","PeriodicalId":318405,"journal":{"name":"2014 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123636526","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 : 2014-12-01DOI: 10.1109/IEEM.2014.7058842
Aishwarya Mishra, P. Murari, S. K. Palei, Suprakash Gupta
Ideally, it is assumed that a system fails as soon as one of its components connected in series has failed. However, in many real-world system configurations do not allow the system failure immediately when a fault or component failure occurs, rather its reliability falls down at a faster rate, and soon the system fails prematurely. If the fault is rectified or the failed item is repaired within a specified time limit, system reliability curve is restored to its normal decreasing trend. The time gap, between the failure of a component or occurrence of a fault and the repair of the component or rectification of a fault so that no system failure, is observed and it is very important that the system reliability decreases at its normal rate. This allowable time gap can serve a guiding tool to the maintenance policy and management decisions. This paper proposes a reliability and maintainability based approach for calculating the grace period, commonly known as the tolerable repair time of a system component. The proposed model has been demonstrated for a belt conveyor system, used for transportation of mineral in the mines. The allowable repair time of the idler of the belt conveyor system was calculated using the cumulative failure distribution function.
{"title":"Modeling of tolerable repair time without affecting system reliability","authors":"Aishwarya Mishra, P. Murari, S. K. Palei, Suprakash Gupta","doi":"10.1109/IEEM.2014.7058842","DOIUrl":"https://doi.org/10.1109/IEEM.2014.7058842","url":null,"abstract":"Ideally, it is assumed that a system fails as soon as one of its components connected in series has failed. However, in many real-world system configurations do not allow the system failure immediately when a fault or component failure occurs, rather its reliability falls down at a faster rate, and soon the system fails prematurely. If the fault is rectified or the failed item is repaired within a specified time limit, system reliability curve is restored to its normal decreasing trend. The time gap, between the failure of a component or occurrence of a fault and the repair of the component or rectification of a fault so that no system failure, is observed and it is very important that the system reliability decreases at its normal rate. This allowable time gap can serve a guiding tool to the maintenance policy and management decisions. This paper proposes a reliability and maintainability based approach for calculating the grace period, commonly known as the tolerable repair time of a system component. The proposed model has been demonstrated for a belt conveyor system, used for transportation of mineral in the mines. The allowable repair time of the idler of the belt conveyor system was calculated using the cumulative failure distribution function.","PeriodicalId":318405,"journal":{"name":"2014 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127977841","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 : 2014-12-01DOI: 10.1109/IEEM.2014.7058708
M. Mutingi, C. Mbohwa
Healthcare systems are often confronted with problems of scarce resources and the ever-increasing demand. As a result, healthcare organizations always seek to ensure sustainable satisfaction of the society's health status, the employee's expectations, as well as the organizational objectives. While patient satisfaction is known to be a crucial factor in the social component of healthcare sustainability, employee satisfaction (job satisfaction), and organizational effectiveness (satisfaction) are important; fulfilment of the patient, the employee, and the management is essential. However, there are complex factors behind the three major players in the healthcare system. A balanced, holistic systems view is therefore necessary to ensure sustainable quality of life and business survivability and growth. By viewing the healthcare system as a system of systems, we propose a systems thinking approach to analyze individual and overall satisfaction, together with the pertinent factors and their relationships within the healthcare system. We suggest a set of satisfaction indices defined in terms of the perceived satisfaction of the three players in a complex healthcare system.
{"title":"Understanding sustainability in healthcare systems: A systems thinking perspective","authors":"M. Mutingi, C. Mbohwa","doi":"10.1109/IEEM.2014.7058708","DOIUrl":"https://doi.org/10.1109/IEEM.2014.7058708","url":null,"abstract":"Healthcare systems are often confronted with problems of scarce resources and the ever-increasing demand. As a result, healthcare organizations always seek to ensure sustainable satisfaction of the society's health status, the employee's expectations, as well as the organizational objectives. While patient satisfaction is known to be a crucial factor in the social component of healthcare sustainability, employee satisfaction (job satisfaction), and organizational effectiveness (satisfaction) are important; fulfilment of the patient, the employee, and the management is essential. However, there are complex factors behind the three major players in the healthcare system. A balanced, holistic systems view is therefore necessary to ensure sustainable quality of life and business survivability and growth. By viewing the healthcare system as a system of systems, we propose a systems thinking approach to analyze individual and overall satisfaction, together with the pertinent factors and their relationships within the healthcare system. We suggest a set of satisfaction indices defined in terms of the perceived satisfaction of the three players in a complex healthcare system.","PeriodicalId":318405,"journal":{"name":"2014 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129628927","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 : 2014-12-01DOI: 10.1109/IEEM.2014.7058650
Shaiful Islam, B. B. Pathik, Manzur H. Khan, M. Habib
This paper represents a software test estimation tool, which is clearly defined to understand, that provides the estimated time as well as the cost of any software test project. There are different estimation tools for software development process [8] and those are well recognized. But there are lacks of standard tools for estimation of Software Test phase. Therefore, the researchers designed and applied this novel tool on 5 case projects, namely Climate Resilient Ecosystems and Livelihood (CREL), Management Accounts Consolidation System for Line Director (LDMACS), PBI Works Management System Software, PBI Mobile Apps and Human Resources Management System (HRMS), in order to determine the time and cost of those projects. Since few software test estimation tools are available in the market, however, this paper would be fruitful for the software industry to explore the time and cost of any real software test project.
{"title":"A novel tool for reducing time and cost at software test estimation: An use cases and functions based approach","authors":"Shaiful Islam, B. B. Pathik, Manzur H. Khan, M. Habib","doi":"10.1109/IEEM.2014.7058650","DOIUrl":"https://doi.org/10.1109/IEEM.2014.7058650","url":null,"abstract":"This paper represents a software test estimation tool, which is clearly defined to understand, that provides the estimated time as well as the cost of any software test project. There are different estimation tools for software development process [8] and those are well recognized. But there are lacks of standard tools for estimation of Software Test phase. Therefore, the researchers designed and applied this novel tool on 5 case projects, namely Climate Resilient Ecosystems and Livelihood (CREL), Management Accounts Consolidation System for Line Director (LDMACS), PBI Works Management System Software, PBI Mobile Apps and Human Resources Management System (HRMS), in order to determine the time and cost of those projects. Since few software test estimation tools are available in the market, however, this paper would be fruitful for the software industry to explore the time and cost of any real software test project.","PeriodicalId":318405,"journal":{"name":"2014 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130608605","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 : 2014-12-01DOI: 10.1109/IEEM.2014.7058654
A. I. Bohmer, Alexander M. Zollner, E. Kuhl, U. Lindemann
Tissue expansion is a surgical procedure to grow additional skin per controlled mechanical stretch. Despite the progress of this reconstructive treatment, there are still some limitations. Both, the inflation protocol and the filling volume vary for every patient. The aim of this paper is to present a first attempt of a sensor featured tissue expander. This so-called instrumented tissue expander provides the treating surgeon a sensory feedback to enhance a successful treatment. The implementation of a pressure sensor enables the display of both, the current expander pressure and the pressure over time. Based on the progress of the pressure curve, the inflation time points are triggered. The skin growth is maximized and adjustable to each individual patient. This new way of tissue expansion is simulated with a finite element model. The skin growth is implemented as a strain-driven process. In addition, a first feasibility prototype is built. Based on the pressure-time diagram the condition of the skin can be deduced from the first derivative. Additionally the user is always enabled to observe or rather check the current pressure inside the tissue expander. Moreover, the risk of necrosis or pressure-induced ischemia is minimized. Thanks to the technical data the treatment is simplified for less experienced surgeons. Experienced doctors can train less experienced surgeons by monitoring and comparing both the appearance of the skin and the pressure data.
{"title":"Towards an instrumented tissue expander","authors":"A. I. Bohmer, Alexander M. Zollner, E. Kuhl, U. Lindemann","doi":"10.1109/IEEM.2014.7058654","DOIUrl":"https://doi.org/10.1109/IEEM.2014.7058654","url":null,"abstract":"Tissue expansion is a surgical procedure to grow additional skin per controlled mechanical stretch. Despite the progress of this reconstructive treatment, there are still some limitations. Both, the inflation protocol and the filling volume vary for every patient. The aim of this paper is to present a first attempt of a sensor featured tissue expander. This so-called instrumented tissue expander provides the treating surgeon a sensory feedback to enhance a successful treatment. The implementation of a pressure sensor enables the display of both, the current expander pressure and the pressure over time. Based on the progress of the pressure curve, the inflation time points are triggered. The skin growth is maximized and adjustable to each individual patient. This new way of tissue expansion is simulated with a finite element model. The skin growth is implemented as a strain-driven process. In addition, a first feasibility prototype is built. Based on the pressure-time diagram the condition of the skin can be deduced from the first derivative. Additionally the user is always enabled to observe or rather check the current pressure inside the tissue expander. Moreover, the risk of necrosis or pressure-induced ischemia is minimized. Thanks to the technical data the treatment is simplified for less experienced surgeons. Experienced doctors can train less experienced surgeons by monitoring and comparing both the appearance of the skin and the pressure data.","PeriodicalId":318405,"journal":{"name":"2014 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130701900","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 : 2014-12-01DOI: 10.1109/IEEM.2014.7058819
S. Inoue, S. Yamada
We propose a software hazard rate modeling framework with the effect of multiple change-point occurrences for developing more plausible software reliability growth models reflecting actual environment in the testing-phase of a software development process. Especially, our modeling approach enables us to develop a software hazard rate model with the effect of multiple change-point occurrences by assuming the hazard rate before the first change-point occurrence. And we check that our multiple change-point model has better fitting and predictive performance than the corresponding non and single change-point models by conducting goodness-of-fit comparisons applying using actual data.
{"title":"Software hazard rate modeling with multiple change-point occurrences","authors":"S. Inoue, S. Yamada","doi":"10.1109/IEEM.2014.7058819","DOIUrl":"https://doi.org/10.1109/IEEM.2014.7058819","url":null,"abstract":"We propose a software hazard rate modeling framework with the effect of multiple change-point occurrences for developing more plausible software reliability growth models reflecting actual environment in the testing-phase of a software development process. Especially, our modeling approach enables us to develop a software hazard rate model with the effect of multiple change-point occurrences by assuming the hazard rate before the first change-point occurrence. And we check that our multiple change-point model has better fitting and predictive performance than the corresponding non and single change-point models by conducting goodness-of-fit comparisons applying using actual data.","PeriodicalId":318405,"journal":{"name":"2014 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129705201","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 : 2014-12-01DOI: 10.1109/IEEM.2014.7058592
Tyrone T. Lin, Hui-Chen Lan
This paper aims to explore the strategy of electricity-using industries' optimal electricity selection by using the binomial option pricing model to analyze the values of various stages in the process. Due to variable electricity using and the worldwide regulation of carbon emissions, this paper tries to investigate the hedge behavior of conservative and adventure energy-using industries' carbon emission strategy and build a maximum financial model for decision-making and the flexible approach of strategy management. How to provide the policymakers of enterprises with a reference of planning the optimal electricity consumption in every decision-making time is the most important. This paper contributes to increase the eco-economic value of enterprises under the restriction of carbon emissions.
{"title":"An optimal electricity consumption decision with a limited carbon emission concept","authors":"Tyrone T. Lin, Hui-Chen Lan","doi":"10.1109/IEEM.2014.7058592","DOIUrl":"https://doi.org/10.1109/IEEM.2014.7058592","url":null,"abstract":"This paper aims to explore the strategy of electricity-using industries' optimal electricity selection by using the binomial option pricing model to analyze the values of various stages in the process. Due to variable electricity using and the worldwide regulation of carbon emissions, this paper tries to investigate the hedge behavior of conservative and adventure energy-using industries' carbon emission strategy and build a maximum financial model for decision-making and the flexible approach of strategy management. How to provide the policymakers of enterprises with a reference of planning the optimal electricity consumption in every decision-making time is the most important. This paper contributes to increase the eco-economic value of enterprises under the restriction of carbon emissions.","PeriodicalId":318405,"journal":{"name":"2014 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129387648","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 : 2014-12-01DOI: 10.1109/IEEM.2014.7058809
C. Fan, S. Chang, Pei-Shu Fan, Lan-Fang Kao
Offshore wind technology is the most popular in recent years, the field of energy technology issues, was becoming increasingly relevant research. However, the research is still lack in the patent portfolio. This study examines numerous patent and use Intelligent clustering method try to identify appropriate patents by examining all-world patent pool cases of offshore wind power development, a form of alternative energy, and analyzing technology and patent maps. Thus, we identified a promising research direction, thereby enabling industry personnel to make technological breakthroughs in this field.
{"title":"Hybrid intelligent patent mapping for offshore wind industry analysis","authors":"C. Fan, S. Chang, Pei-Shu Fan, Lan-Fang Kao","doi":"10.1109/IEEM.2014.7058809","DOIUrl":"https://doi.org/10.1109/IEEM.2014.7058809","url":null,"abstract":"Offshore wind technology is the most popular in recent years, the field of energy technology issues, was becoming increasingly relevant research. However, the research is still lack in the patent portfolio. This study examines numerous patent and use Intelligent clustering method try to identify appropriate patents by examining all-world patent pool cases of offshore wind power development, a form of alternative energy, and analyzing technology and patent maps. Thus, we identified a promising research direction, thereby enabling industry personnel to make technological breakthroughs in this field.","PeriodicalId":318405,"journal":{"name":"2014 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127771256","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 : 2014-12-01DOI: 10.1109/IEEM.2014.7058712
Riccardo Cognini, F. Corradini, A. Polzonetti, B. Re
Evidence of the competitive value of business intelligence (BI) and analytics solutions is growing. Fact-based decision making is spreading throughout commercial, nonprofit, and public sector organizations. The economic downturn is spurring organizations to examine ways of retaining customers, spending capital and operating budgets, and complying with regulations. However, over the long term, BI solutions will continue to be applied to optimize a wide array of processes in an effort to improve performance management and organizational competitiveness. An increasing number of organizations are making BI and analytics functionality more broadly available to all decision makers inside and outside the organization. Internally, more pervasively available BI solutions lead to greater accountability by all employees and greater consistency in performance management. Externally, relationships with supplier and partners can be strengthened through effective sharing of key performance indicators (KPIs). However, having pervasive BI means more than having the appropriate BI tools distributed to all stakeholders. In pursuit of pervasive BI, organizations should focus on the five key factors that can be directly influenced to increase diffusion of BI. These factors have to do as much with BI and analytics technology as they do with the related professional services for BI strategy and solution development, deployment, and maintenance.
{"title":"Five factors that make pervasive business intelligence a winning wager","authors":"Riccardo Cognini, F. Corradini, A. Polzonetti, B. Re","doi":"10.1109/IEEM.2014.7058712","DOIUrl":"https://doi.org/10.1109/IEEM.2014.7058712","url":null,"abstract":"Evidence of the competitive value of business intelligence (BI) and analytics solutions is growing. Fact-based decision making is spreading throughout commercial, nonprofit, and public sector organizations. The economic downturn is spurring organizations to examine ways of retaining customers, spending capital and operating budgets, and complying with regulations. However, over the long term, BI solutions will continue to be applied to optimize a wide array of processes in an effort to improve performance management and organizational competitiveness. An increasing number of organizations are making BI and analytics functionality more broadly available to all decision makers inside and outside the organization. Internally, more pervasively available BI solutions lead to greater accountability by all employees and greater consistency in performance management. Externally, relationships with supplier and partners can be strengthened through effective sharing of key performance indicators (KPIs). However, having pervasive BI means more than having the appropriate BI tools distributed to all stakeholders. In pursuit of pervasive BI, organizations should focus on the five key factors that can be directly influenced to increase diffusion of BI. These factors have to do as much with BI and analytics technology as they do with the related professional services for BI strategy and solution development, deployment, and maintenance.","PeriodicalId":318405,"journal":{"name":"2014 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128733467","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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