Pub Date : 2008-12-01DOI: 10.1109/IEEM.2008.4738074
J. Chen, K. Chen, Silvia Lin, B. Yuan
The most important core competences of school education resources allocation is the teaching activities of integrating information technology into instruction. This paper explores integrating information technology into instruction how to build an education resources allocation planning model using De Novo programming for case study. We expect building an efficient planning model of integrating information technology into instruction for school education resources allocation, and using De Novo programming for achieving aspired/desired level base on education resources allocation of school. How we can be in the set budget for accomplishing the resources allocation with minimum cost. In empirical case we find if the resource limitation is loosen, and De Novo programming and resources allocation project management are implemented, the optimal resource allocation of integrating information technology into instruction will be achieved and the cost of school management can be reduced.
{"title":"Build an education resources allocation planning model of school with integrating Information Technology","authors":"J. Chen, K. Chen, Silvia Lin, B. Yuan","doi":"10.1109/IEEM.2008.4738074","DOIUrl":"https://doi.org/10.1109/IEEM.2008.4738074","url":null,"abstract":"The most important core competences of school education resources allocation is the teaching activities of integrating information technology into instruction. This paper explores integrating information technology into instruction how to build an education resources allocation planning model using De Novo programming for case study. We expect building an efficient planning model of integrating information technology into instruction for school education resources allocation, and using De Novo programming for achieving aspired/desired level base on education resources allocation of school. How we can be in the set budget for accomplishing the resources allocation with minimum cost. In empirical case we find if the resource limitation is loosen, and De Novo programming and resources allocation project management are implemented, the optimal resource allocation of integrating information technology into instruction will be achieved and the cost of school management can be reduced.","PeriodicalId":414796,"journal":{"name":"2008 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129883276","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 : 2008-12-01DOI: 10.1109/IEEM.2008.4738153
H.L. Huang, H.M. Chen, C. Lo
Enterprises apply reverse logistics through recycling, repairing, and remanufacturing processes to reduce resource consumption and waste generation for the environment. To effectively manipulate reverse logistic activities of a refillable container, this paper proposes an integrated inventory and pricing model to deal with the problems of inventory control, production schedule, and pricing decisions. We formulate a profit function and then examine its concave property. Thus, an efficient iterative algorithm is developed to simultaneously search for the optimal decisions, including procurement frequency, common cycle time, and pricing policies. A case example is presented to illustrate the application of reuse containers. Sensitivity analyses show that the fluctuation of the price discount of a returned product slightly affects the optimal price of a finished product and the optimal length of common cycle time, while it significantly influences the profit generated from the reverse logistics process.
{"title":"A study on the inventory and pricing model for reverse logistics: An application on reuse of refillable containers","authors":"H.L. Huang, H.M. Chen, C. Lo","doi":"10.1109/IEEM.2008.4738153","DOIUrl":"https://doi.org/10.1109/IEEM.2008.4738153","url":null,"abstract":"Enterprises apply reverse logistics through recycling, repairing, and remanufacturing processes to reduce resource consumption and waste generation for the environment. To effectively manipulate reverse logistic activities of a refillable container, this paper proposes an integrated inventory and pricing model to deal with the problems of inventory control, production schedule, and pricing decisions. We formulate a profit function and then examine its concave property. Thus, an efficient iterative algorithm is developed to simultaneously search for the optimal decisions, including procurement frequency, common cycle time, and pricing policies. A case example is presented to illustrate the application of reuse containers. Sensitivity analyses show that the fluctuation of the price discount of a returned product slightly affects the optimal price of a finished product and the optimal length of common cycle time, while it significantly influences the profit generated from the reverse logistics process.","PeriodicalId":414796,"journal":{"name":"2008 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130335870","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 : 2008-12-01DOI: 10.1109/IEEM.2008.4738004
A. Pilkington
This paper explores the suitability of using diffusion S-curves to describe and compare the diffusion of citations within the innovation management discipline. There is some debate as to how to extend the existing measures of bibliometrics and modelling instead of indexes is just one option being explored. The ISI Citation data on the ten leading journals in the innovation management field are modelled and compared using a wide range of distributions. The resulting grouping of journals appears to be a useful proxy for academic-practitioner involvement and warrants further investigation. The finding that the three-parameter inverse Gaussian is the best fit to the data extends the understanding of this process.
{"title":"Modelling the diffusion of innovation management theory using S-curves","authors":"A. Pilkington","doi":"10.1109/IEEM.2008.4738004","DOIUrl":"https://doi.org/10.1109/IEEM.2008.4738004","url":null,"abstract":"This paper explores the suitability of using diffusion S-curves to describe and compare the diffusion of citations within the innovation management discipline. There is some debate as to how to extend the existing measures of bibliometrics and modelling instead of indexes is just one option being explored. The ISI Citation data on the ten leading journals in the innovation management field are modelled and compared using a wide range of distributions. The resulting grouping of journals appears to be a useful proxy for academic-practitioner involvement and warrants further investigation. The finding that the three-parameter inverse Gaussian is the best fit to the data extends the understanding of this process.","PeriodicalId":414796,"journal":{"name":"2008 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126752372","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 : 2008-12-01DOI: 10.1109/IEEM.2008.4738240
H. Aulawi, I. Sudirman, K. Suryadi, R. Govindaraju
This research develops conceptual model to elaborate the relationships between knowledge infrastructure, knowledge sharing behavior and innovation capability. This research presents more profound insights on which knowledge infrastructure regarded crucial in supporting knowledge sharing behavior. Besides it, explaining how knowledge sharing influences towards company's innovation capability. The result of this research is expected to leverage learning ability towards the development of knowledge sharing behavior within organization. Moreover this research is also expected to provide referential framework to researchers and practitioners on the components of knowledge infrastructure needed to be developed in order to build effective knowledge sharing behavior in an organization. Our research has identified several dimensions of knowledge infrastructure which are considered supporting knowledge sharing behavior: organizational culture, managerial, organizational structure, people, and information technology. This research is based on theory reasoned action to explain how knowledge infrastructure is able to form knowledge sharing behavior.
{"title":"Knowledge sharing behavior, antecedent and its influence towards the company’s innovation capability","authors":"H. Aulawi, I. Sudirman, K. Suryadi, R. Govindaraju","doi":"10.1109/IEEM.2008.4738240","DOIUrl":"https://doi.org/10.1109/IEEM.2008.4738240","url":null,"abstract":"This research develops conceptual model to elaborate the relationships between knowledge infrastructure, knowledge sharing behavior and innovation capability. This research presents more profound insights on which knowledge infrastructure regarded crucial in supporting knowledge sharing behavior. Besides it, explaining how knowledge sharing influences towards company's innovation capability. The result of this research is expected to leverage learning ability towards the development of knowledge sharing behavior within organization. Moreover this research is also expected to provide referential framework to researchers and practitioners on the components of knowledge infrastructure needed to be developed in order to build effective knowledge sharing behavior in an organization. Our research has identified several dimensions of knowledge infrastructure which are considered supporting knowledge sharing behavior: organizational culture, managerial, organizational structure, people, and information technology. This research is based on theory reasoned action to explain how knowledge infrastructure is able to form knowledge sharing behavior.","PeriodicalId":414796,"journal":{"name":"2008 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123824063","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 : 2008-12-01DOI: 10.1109/IEEM.2008.4737877
Q. Yang, R. Ng, B. Song
Economic assessment of manufacturing processes evaluates the effects of engineering-economics factors on the current and expected future cost performances in manufacturing. The relationships between those factors are usually specified in production economics models. In this study, a production economics model has been developed to predictively assess the cost effectiveness of liquid forging process. The model consists of the economic relations and influences of engineering parameters, production properties, and economic conditions on manufacturing cost of liquid forged parts. Five critical cost drivers are identified from the liquid forging economics model. The effects of these cost drivers are analyzed through case studies. The proposed model provides a new way to gain insights into the cost behaviors for identifying cost reduction potentials of manufacturing processes.
{"title":"A production economics model for predictive cost assessment in manufacturing","authors":"Q. Yang, R. Ng, B. Song","doi":"10.1109/IEEM.2008.4737877","DOIUrl":"https://doi.org/10.1109/IEEM.2008.4737877","url":null,"abstract":"Economic assessment of manufacturing processes evaluates the effects of engineering-economics factors on the current and expected future cost performances in manufacturing. The relationships between those factors are usually specified in production economics models. In this study, a production economics model has been developed to predictively assess the cost effectiveness of liquid forging process. The model consists of the economic relations and influences of engineering parameters, production properties, and economic conditions on manufacturing cost of liquid forged parts. Five critical cost drivers are identified from the liquid forging economics model. The effects of these cost drivers are analyzed through case studies. The proposed model provides a new way to gain insights into the cost behaviors for identifying cost reduction potentials of manufacturing processes.","PeriodicalId":414796,"journal":{"name":"2008 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121166944","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 : 2008-12-01DOI: 10.1109/IEEM.2008.4738017
Zhe Zhang, Jiuping Xu
This paper discusses stock portfolio selection problem in fuzzy random environment. In the paper, the returns of each security are assumed to be fuzzy random variables, then following the ideas of mean-semivariance model in a fuzzy random environment is proposed. Based on the concept of semivariance of fuzzy random variable, a mean-semivariance model in is proposed. To solve the new model in general cases, a fuzzy random simulation based genetic algorithm is presented in the paper. In addition, a numerical example is presented to illustrate the proposed stock portfolio selection model and the effectiveness of the designed algorithm.
{"title":"A mean-semivariance model for stock portfolio selection in fuzzy random environment","authors":"Zhe Zhang, Jiuping Xu","doi":"10.1109/IEEM.2008.4738017","DOIUrl":"https://doi.org/10.1109/IEEM.2008.4738017","url":null,"abstract":"This paper discusses stock portfolio selection problem in fuzzy random environment. In the paper, the returns of each security are assumed to be fuzzy random variables, then following the ideas of mean-semivariance model in a fuzzy random environment is proposed. Based on the concept of semivariance of fuzzy random variable, a mean-semivariance model in is proposed. To solve the new model in general cases, a fuzzy random simulation based genetic algorithm is presented in the paper. In addition, a numerical example is presented to illustrate the proposed stock portfolio selection model and the effectiveness of the designed algorithm.","PeriodicalId":414796,"journal":{"name":"2008 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121338525","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 : 2008-12-01DOI: 10.1109/IEEM.2008.4738177
S. H. Yakhchali, S. H. Ghodsypour, S. F. Fatemi Ghomi
This paper proposes algorithms for computing the possible values of the latest starting times and maximal floats in a network with imprecise activity and time lag durations, represented by means of interval or fuzzy numbers. Although these problems have been solved when the activity durations are imprecise, we propose polynomial algorithms which can handle the imprecision in time lags of the precedence relations and are simpler than the previously algorithms. Inserting the imprecise time lags in the network leads the proposed algorithms to be more practical. After positioning this paper in the scope of project scheduling under uncertainty, the algorithms for computing of the interval value of latest starting times and maximal floats of activities in networks with interval activity and time lag durations are proposed. Then, the interval activity and time lag durations are generalized into fuzzy numbers.
{"title":"An incremental approach for temporal analysis in networks with imprecise activity and time lag durations","authors":"S. H. Yakhchali, S. H. Ghodsypour, S. F. Fatemi Ghomi","doi":"10.1109/IEEM.2008.4738177","DOIUrl":"https://doi.org/10.1109/IEEM.2008.4738177","url":null,"abstract":"This paper proposes algorithms for computing the possible values of the latest starting times and maximal floats in a network with imprecise activity and time lag durations, represented by means of interval or fuzzy numbers. Although these problems have been solved when the activity durations are imprecise, we propose polynomial algorithms which can handle the imprecision in time lags of the precedence relations and are simpler than the previously algorithms. Inserting the imprecise time lags in the network leads the proposed algorithms to be more practical. After positioning this paper in the scope of project scheduling under uncertainty, the algorithms for computing of the interval value of latest starting times and maximal floats of activities in networks with interval activity and time lag durations are proposed. Then, the interval activity and time lag durations are generalized into fuzzy numbers.","PeriodicalId":414796,"journal":{"name":"2008 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116355729","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 : 2008-12-01DOI: 10.1109/IEEM.2008.4737913
J. Dodangeh, J. Jassbi, M. Mousakhani, M. Anisseh, R. Yusuff
Strategic planning is especially important for organization¿s success and creation of competitive advantage in a competitive and complicated environment, and on the other hand achievement and implementation of strategies can perform an important role for the purpose of organizations¿ success, balanced scorecard is a new tool for designing operational strategies. One of balanced scorecard problems is the abs use of priority in strategic plans¿ performance. So, in this article by using proposed model, using the consensus of organization¿s managers and experts¿ opinions, measures of four perspectives and general objectives are determined in BSC, and then using experts¿ opinions and taking the relative importance of decision makers¿ opinions into consideration, by using Topsis method that it is one of group decision making model, the performances of strategic plans are prioritized in BSC model. The introduced method is used in a study and extracted results from it are analyzed from different points of view. In this article initiatives is called strategic plans.
{"title":"Priority of strategic plans in BSC model by using of Group Decision Making Model","authors":"J. Dodangeh, J. Jassbi, M. Mousakhani, M. Anisseh, R. Yusuff","doi":"10.1109/IEEM.2008.4737913","DOIUrl":"https://doi.org/10.1109/IEEM.2008.4737913","url":null,"abstract":"Strategic planning is especially important for organization¿s success and creation of competitive advantage in a competitive and complicated environment, and on the other hand achievement and implementation of strategies can perform an important role for the purpose of organizations¿ success, balanced scorecard is a new tool for designing operational strategies. One of balanced scorecard problems is the abs use of priority in strategic plans¿ performance. So, in this article by using proposed model, using the consensus of organization¿s managers and experts¿ opinions, measures of four perspectives and general objectives are determined in BSC, and then using experts¿ opinions and taking the relative importance of decision makers¿ opinions into consideration, by using Topsis method that it is one of group decision making model, the performances of strategic plans are prioritized in BSC model. The introduced method is used in a study and extracted results from it are analyzed from different points of view. In this article initiatives is called strategic plans.","PeriodicalId":414796,"journal":{"name":"2008 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"225 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124487798","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 : 2008-12-01DOI: 10.1109/IEEM.2008.4738087
C. H. Li, Leon Pretorius
Risk assessment (RA) is considered as a sub-system of risk management (RM). The socio-technical aspects of RA in a residential development (RD) are discussed within a systems engineering (SE) context. A RA model for a semi-developed project completed by a foreign developer in South Africa (SA) is discussed.
{"title":"Systems engineering based model for risk assessment: A case study","authors":"C. H. Li, Leon Pretorius","doi":"10.1109/IEEM.2008.4738087","DOIUrl":"https://doi.org/10.1109/IEEM.2008.4738087","url":null,"abstract":"Risk assessment (RA) is considered as a sub-system of risk management (RM). The socio-technical aspects of RA in a residential development (RD) are discussed within a systems engineering (SE) context. A RA model for a semi-developed project completed by a foreign developer in South Africa (SA) is discussed.","PeriodicalId":414796,"journal":{"name":"2008 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124500339","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 : 2008-12-01DOI: 10.1109/IEEM.2008.4737901
G. Büyüközkan, Jbid Arsenyan
Efficient logistics and supply chain management are enabled through utilization of efficient information technologies. A personal digital assistant (PDA) is a handheld computer that is used for mobile data applications in different industries to improve the effectiveness of the organizations. The objective of this paper is to aid decision makers to identify the most appropriate PDAs especially for logistics companies. To achieve this, several evaluation criteria have been identified and existing leading PDAs have been investigated. An axiomatic design based fuzzy group decision making is adopted to evaluate PDA alternatives. Finally, a case study is given to demonstrate the potential of the methodology.
{"title":"A fuzzy group decision-making approach to evaluate a mobile technology for logistics industry","authors":"G. Büyüközkan, Jbid Arsenyan","doi":"10.1109/IEEM.2008.4737901","DOIUrl":"https://doi.org/10.1109/IEEM.2008.4737901","url":null,"abstract":"Efficient logistics and supply chain management are enabled through utilization of efficient information technologies. A personal digital assistant (PDA) is a handheld computer that is used for mobile data applications in different industries to improve the effectiveness of the organizations. The objective of this paper is to aid decision makers to identify the most appropriate PDAs especially for logistics companies. To achieve this, several evaluation criteria have been identified and existing leading PDAs have been investigated. An axiomatic design based fuzzy group decision making is adopted to evaluate PDA alternatives. Finally, a case study is given to demonstrate the potential of the methodology.","PeriodicalId":414796,"journal":{"name":"2008 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128172829","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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