Pub Date : 2013-12-01DOI: 10.1109/IEEM.2013.6962563
P. Mishra, Xue-Ming Yuan, Guang-bin Huang, Xiao Xia Xu
In the remanufacturing industry, customer demands and product returns always display irregular intermittent patterns. It is very difficult to accurately forecast such customer demands and product returns. This paper conducts a comparative assessment of the forecasts derived by various methods, and evaluates the robustness of forecasting methodology through the demand data from a remanufacturing company. The results show the econometric methods are more accurate than the classic methods in terms of the mean squared error (MSE).
{"title":"Remanufacturing intermittent demand forecast: A critical assessment","authors":"P. Mishra, Xue-Ming Yuan, Guang-bin Huang, Xiao Xia Xu","doi":"10.1109/IEEM.2013.6962563","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962563","url":null,"abstract":"In the remanufacturing industry, customer demands and product returns always display irregular intermittent patterns. It is very difficult to accurately forecast such customer demands and product returns. This paper conducts a comparative assessment of the forecasts derived by various methods, and evaluates the robustness of forecasting methodology through the demand data from a remanufacturing company. The results show the econometric methods are more accurate than the classic methods in terms of the mean squared error (MSE).","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"57 1","pages":"1012-1016"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84784666","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 : 2013-12-01DOI: 10.1109/IEEM.2013.6962382
S. G. Chen
An integer programming problem is a mathematical optimization or feasibility program in which some or all of the variables are restricted to be integers. In many cases, the problems can be divided into integer linear programming (ILP) problems and integer non-linear programming (INLP) problems. A more complex problems are mixed integer programming (MIP) problems. There are many algorithms to well solve ILP problems. However, there are relatively fewer algorithms to solve INLP problems. In most situations, the explicit enumeration method (EEM) can be used to solve both kinds of problems. EEM is very simple to implement but with the price of low efficiency. This paper proposes an efficient approach namely Chen's rearrangement to improve the efficiency in explicit enumeration for integer programming problems. Part of them can also be applied to MIP problems. An interesting example is explored to explain the proposed approach.
{"title":"Efficiency improvement in explicit enumeration for integer programming problems","authors":"S. G. Chen","doi":"10.1109/IEEM.2013.6962382","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962382","url":null,"abstract":"An integer programming problem is a mathematical optimization or feasibility program in which some or all of the variables are restricted to be integers. In many cases, the problems can be divided into integer linear programming (ILP) problems and integer non-linear programming (INLP) problems. A more complex problems are mixed integer programming (MIP) problems. There are many algorithms to well solve ILP problems. However, there are relatively fewer algorithms to solve INLP problems. In most situations, the explicit enumeration method (EEM) can be used to solve both kinds of problems. EEM is very simple to implement but with the price of low efficiency. This paper proposes an efficient approach namely Chen's rearrangement to improve the efficiency in explicit enumeration for integer programming problems. Part of them can also be applied to MIP problems. An interesting example is explored to explain the proposed approach.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"95 1","pages":"98-100"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79648607","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 : 2013-12-01DOI: 10.1109/IEEM.2013.6962432
S. Maisenbacher, K. Kernschmidt, D. Kasperek, B. Vogel‐Heuser, M. Maurer
Matrices and graph-based representations are commonly used visual models of system structures. Depending on the objective of the observer, both representations offer different opportunities and advantages. A standardized graph-based modeling language is SysML, while the design structure matrix (DSM) and the multiple domain matrix (MDM) are typical matrices used during the development of complex systems. Although both modeling techniques are wide spread, up to now they are hardly used conjointly. In order to utilize the advantages of both approaches and thus, enhance the entire development process this contribution examines the transformation of SysML diagrams to their matrix representation as a DSM or MDM, in order to analyze the models further. The approach is verified on a use case of a product-service system.
{"title":"Using DSM and MDM methodologies to analyze structural SysML models","authors":"S. Maisenbacher, K. Kernschmidt, D. Kasperek, B. Vogel‐Heuser, M. Maurer","doi":"10.1109/IEEM.2013.6962432","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962432","url":null,"abstract":"Matrices and graph-based representations are commonly used visual models of system structures. Depending on the objective of the observer, both representations offer different opportunities and advantages. A standardized graph-based modeling language is SysML, while the design structure matrix (DSM) and the multiple domain matrix (MDM) are typical matrices used during the development of complex systems. Although both modeling techniques are wide spread, up to now they are hardly used conjointly. In order to utilize the advantages of both approaches and thus, enhance the entire development process this contribution examines the transformation of SysML diagrams to their matrix representation as a DSM or MDM, in order to analyze the models further. The approach is verified on a use case of a product-service system.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"11 1","pages":"351-355"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79794163","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 : 2013-12-01DOI: 10.1109/IEEM.2013.6962474
N. G. Cabrera, G. Gutiérrez-Alcaraz, E. Gil
Accurate load forecasting is critical for power systems planning, control, and operation. Poor forecasting in volatile power markets can have large, detrimental impacts on power system costs and real-time energy acquisition costs from distribution companies. This paper implements and compares two different methodologies for short term load forecasting: a classic statistical model (SARIMA model) and a model based on artificial intelligence (Fuzzy Inductive Reasoning, or FIR, model). A numerical example predicts one week for every methodology and the results are compared for both models.
{"title":"Load forecasting assessment using SARIMA model and fuzzy inductive reasoning","authors":"N. G. Cabrera, G. Gutiérrez-Alcaraz, E. Gil","doi":"10.1109/IEEM.2013.6962474","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962474","url":null,"abstract":"Accurate load forecasting is critical for power systems planning, control, and operation. Poor forecasting in volatile power markets can have large, detrimental impacts on power system costs and real-time energy acquisition costs from distribution companies. This paper implements and compares two different methodologies for short term load forecasting: a classic statistical model (SARIMA model) and a model based on artificial intelligence (Fuzzy Inductive Reasoning, or FIR, model). A numerical example predicts one week for every methodology and the results are compared for both models.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"21 1","pages":"561-565"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79846774","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 : 2013-12-01DOI: 10.1109/IEEM.2013.6962515
Gürkan Işık, T. Ünlüyurt
Sequential testing problem requires the determination of the correct state of a system with the minimum expected cost. It has a wide range of applications. We consider the Sequential Testing problem of 3-level deep Series-Parallel systems. We show that it is possible to compute the expected cost of permutation strategies efficiently. We develop a hybrid simulated annealing-tabu search algorithm by utilizing this efficient method and we report the results of computational experiments for this algorithm and other algorithms proposed in the literature and their extensions.
{"title":"Sequential testing of 3-level deep series-parallel systems","authors":"Gürkan Işık, T. Ünlüyurt","doi":"10.1109/IEEM.2013.6962515","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962515","url":null,"abstract":"Sequential testing problem requires the determination of the correct state of a system with the minimum expected cost. It has a wide range of applications. We consider the Sequential Testing problem of 3-level deep Series-Parallel systems. We show that it is possible to compute the expected cost of permutation strategies efficiently. We develop a hybrid simulated annealing-tabu search algorithm by utilizing this efficient method and we report the results of computational experiments for this algorithm and other algorithms proposed in the literature and their extensions.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"72 1","pages":"766-770"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84365343","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 : 2013-12-01DOI: 10.1109/IEEM.2013.6962533
R. Vishwakarma, R. Shankar
Security agencies across the world are facing major challenge from the terrorism. Challenge lies in establishing inter-gang relationship and intra-gang behaviour. Though security agencies maintain structured and unstructured data, mining the database and doing predictive analysis is still very difficult task. In India various terrorists groups viz Al-Qaida, LeT and other international militant groups carry out various disruptive activities. In 2010, 132 police officers lost their lives in various operations against militants and extremists in India. We have shown how ontology of crime-criminal world can help in establishing intergang relationship. Call records of phones can be analyzed and ontology can link various criminals belonging to various gangs and can predict inter-gang relationship. Based on the field data we have shown how terrorists based in Northeast India have developed links with Left-wing extremists operating in central part of India. At the end we provide a mathematical model based on fuzzy logic to understand extent of criminality.
{"title":"Modeling brain and behavior of a terrorist through fuzzy logic and ontology","authors":"R. Vishwakarma, R. Shankar","doi":"10.1109/IEEM.2013.6962533","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962533","url":null,"abstract":"Security agencies across the world are facing major challenge from the terrorism. Challenge lies in establishing inter-gang relationship and intra-gang behaviour. Though security agencies maintain structured and unstructured data, mining the database and doing predictive analysis is still very difficult task. In India various terrorists groups viz Al-Qaida, LeT and other international militant groups carry out various disruptive activities. In 2010, 132 police officers lost their lives in various operations against militants and extremists in India. We have shown how ontology of crime-criminal world can help in establishing intergang relationship. Call records of phones can be analyzed and ontology can link various criminals belonging to various gangs and can predict inter-gang relationship. Based on the field data we have shown how terrorists based in Northeast India have developed links with Left-wing extremists operating in central part of India. At the end we provide a mathematical model based on fuzzy logic to understand extent of criminality.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"15 1","pages":"857-861"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83786818","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 : 2013-12-01DOI: 10.1109/IEEM.2013.6962367
T. Vaegs, I. Zimmer, S. Schroder, I. Leisten, R. Vossen, S. Jeschke
Research in the challenging field of industrial engineering and engineering management often needs the expertise from more than one discipline. Various disciplinary competences have to be combined to answer research questions and to solve specific (engineering) problems at the interfaces of different professional disciplines. The disciplines being part of the research and problem solving process have to be consequently integrated to form an efficiently performing interdisciplinary consortium. Current research states that this interdisciplinary integration process has to include various dimensions. This paper introduces three sets of interdisciplinary integration methods. Together they cover all of the dimensions explained before and lead to an enhanced interdisciplinary integration. Having just implemented a set of integration methods, measurement methods are adjusted to evaluate and optimize them continually.
{"title":"Fostering interdisciplinary integration in engineering management","authors":"T. Vaegs, I. Zimmer, S. Schroder, I. Leisten, R. Vossen, S. Jeschke","doi":"10.1109/IEEM.2013.6962367","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962367","url":null,"abstract":"Research in the challenging field of industrial engineering and engineering management often needs the expertise from more than one discipline. Various disciplinary competences have to be combined to answer research questions and to solve specific (engineering) problems at the interfaces of different professional disciplines. The disciplines being part of the research and problem solving process have to be consequently integrated to form an efficiently performing interdisciplinary consortium. Current research states that this interdisciplinary integration process has to include various dimensions. This paper introduces three sets of interdisciplinary integration methods. Together they cover all of the dimensions explained before and lead to an enhanced interdisciplinary integration. Having just implemented a set of integration methods, measurement methods are adjusted to evaluate and optimize them continually.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"57 1","pages":"23-28"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83969513","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 : 2013-12-01DOI: 10.1109/IEEM.2013.6962594
J. J. Ma, Y. Cao, Weiting Kary Chien
In this paper, a new method to set the spec (specification) limits for measurement data from metrology tools is introduced. Combining the accuracy spec guaranteed by metrology vendors, the metrology tool's actual performance, and the inline measurement requirement according to MSA (Measurement System Analysis) spirit, we've not only studied the proper method but also standardized the control flow to define the spec limits. Through such categorization and characterization, we can identify different situations to set the proper spec limits. This method can be applied as one of the release criteria for new metrology tools at the certification stage, and be further applied as one of the routine review flow for tool performance checking.
本文介绍了一种为计量工具测量数据设定规格(规格)限值的新方法。根据计量系统分析(measurement System Analysis, MSA)精神，结合计量厂商保证的精度规范、计量工具的实际性能和在线测量需求，研究了确定精度限值的合适方法，并对控制流程进行了标准化。通过这样的分类和表征，我们可以识别不同的情况，以设置适当的规格限制。该方法可作为新计量工具认证阶段的发布标准之一，并可进一步作为工具性能检查的常规评审流程之一。
{"title":"A new method for metrology monitor charts' spec limit setting","authors":"J. J. Ma, Y. Cao, Weiting Kary Chien","doi":"10.1109/IEEM.2013.6962594","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962594","url":null,"abstract":"In this paper, a new method to set the spec (specification) limits for measurement data from metrology tools is introduced. Combining the accuracy spec guaranteed by metrology vendors, the metrology tool's actual performance, and the inline measurement requirement according to MSA (Measurement System Analysis) spirit, we've not only studied the proper method but also standardized the control flow to define the spec limits. Through such categorization and characterization, we can identify different situations to set the proper spec limits. This method can be applied as one of the release criteria for new metrology tools at the certification stage, and be further applied as one of the routine review flow for tool performance checking.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"21 1","pages":"1166-1169"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80523602","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 : 2013-12-01DOI: 10.1109/IEEM.2013.6962488
Y. Yamasaki, K. Gemba
Purpose: This study presents an analysis of the role of innovation among family businesses in the food industry in Japan. We focus on the role of innovation in food containers and packaging. Methodology: We present case studies of four Japanese companies that have achieved successful innovations in food products and packaging. These case studies illustrate the contributors of successful innovation in family businesses. Findings: Our results show that family businesses provide more opportunities for innovation. Originality: This study underscores the strength of the family business in Japan, particularly in the area of innovation and leadership.
{"title":"Innovation in family-owned food companies in Japan","authors":"Y. Yamasaki, K. Gemba","doi":"10.1109/IEEM.2013.6962488","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962488","url":null,"abstract":"Purpose: This study presents an analysis of the role of innovation among family businesses in the food industry in Japan. We focus on the role of innovation in food containers and packaging. Methodology: We present case studies of four Japanese companies that have achieved successful innovations in food products and packaging. These case studies illustrate the contributors of successful innovation in family businesses. Findings: Our results show that family businesses provide more opportunities for innovation. Originality: This study underscores the strength of the family business in Japan, particularly in the area of innovation and leadership.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"54 1","pages":"631-635"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80155791","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 : 2013-12-01DOI: 10.1109/IEEM.2013.6962477
X. Ji, S. Kang, Yanran Yu, W. Chien
In this paper, we introduce a data comparison method, Matching Rule (MR). By setting up a relation between MR and F/T, an empirical criterion of MR for comparing two groups of data is defined. It is based on a study on the classical statistic method “Hypothesis test - F/T”. The F/T test is widely used to compare variations & means of two normal populations. However, the empirical criteria of MR do not consider type I error. To make MR truly useful, we develop a program to simulate the sample size needed for the two groups at different levels of type I error. Then MR criteria and the minimal sample size can be determined based on the required type I error. Our simulation results show that the type I error of MR can approach to the traditional F/T test method when sample size is close to 30. With a large sampling size, MR tool is more useful for engineering application than statistical comparison test [1].
{"title":"A study on the statistical comparison methods for engineering applications","authors":"X. Ji, S. Kang, Yanran Yu, W. Chien","doi":"10.1109/IEEM.2013.6962477","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962477","url":null,"abstract":"In this paper, we introduce a data comparison method, Matching Rule (MR). By setting up a relation between MR and F/T, an empirical criterion of MR for comparing two groups of data is defined. It is based on a study on the classical statistic method “Hypothesis test - F/T”. The F/T test is widely used to compare variations & means of two normal populations. However, the empirical criteria of MR do not consider type I error. To make MR truly useful, we develop a program to simulate the sample size needed for the two groups at different levels of type I error. Then MR criteria and the minimal sample size can be determined based on the required type I error. Our simulation results show that the type I error of MR can approach to the traditional F/T test method when sample size is close to 30. With a large sampling size, MR tool is more useful for engineering application than statistical comparison test [1].","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"19 1","pages":"576-580"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83247794","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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