Pub Date : 2018-12-01DOI: 10.1109/IEEM.2018.8607598
Wenyu Guo, Tangbin Xia, Guojin Si, B. Sun, E. Pan
With the development of the product-service paradigm, a manufacturing system consists of degradation machines and buffers between them begins to be leased in the practical industry. The leasing profit opportunity (LPO) policy is thus extended to optimize preventive maintenance (PM) actions for this type of two-machine one-buffer system. During the LPO procedure, each machine’s PM time point is dynamically scheduled by minimizing the cost rate. Moreover, one machine’s PM can create a maintenance opportunity for the other because of the relationship of the series structure. Taking the buffer level and different kinds of maintenance cost into consideration, the improved LPO policy evaluates the leasing profit savings to decide whether to take the PM opportunity and execute an Early PM for the other machine. The effectiveness of this improved LPO policy is validated through a case study and the comparison with two traditional policies has been provided.
{"title":"Improved Lease-oriented opportunistic Maintenance for Two-machine One-buffer System under Product-service Paradigm","authors":"Wenyu Guo, Tangbin Xia, Guojin Si, B. Sun, E. Pan","doi":"10.1109/IEEM.2018.8607598","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607598","url":null,"abstract":"With the development of the product-service paradigm, a manufacturing system consists of degradation machines and buffers between them begins to be leased in the practical industry. The leasing profit opportunity (LPO) policy is thus extended to optimize preventive maintenance (PM) actions for this type of two-machine one-buffer system. During the LPO procedure, each machine’s PM time point is dynamically scheduled by minimizing the cost rate. Moreover, one machine’s PM can create a maintenance opportunity for the other because of the relationship of the series structure. Taking the buffer level and different kinds of maintenance cost into consideration, the improved LPO policy evaluates the leasing profit savings to decide whether to take the PM opportunity and execute an Early PM for the other machine. The effectiveness of this improved LPO policy is validated through a case study and the comparison with two traditional policies has been provided.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"759 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133970222","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607821
Hongying Shan, Yu Yuan, Yanxiang Zhang, Lina Li, Chuang Wang
This paper studies the application of simulation software and integrates system simulation technology and lean theory. Based on the abstract entity of the knuckle arm line, the existing production line simulation model is established by Flexsim simulation software. We use the theory of production line balance to analyze production line through the process–'modeling simulation-improvement and optimization-modeling simulation'. Exerting lean theory, we explore the process which analyzes and solves problems through simulation software. This line is improved by ECRS principle. The results show that the improvement effect is significant. This paper provides method of reference and practical basis for doing the improvement and simulation optimization of production lines.
{"title":"Lean, Simulation and Optimization: The Case of Steering Knuckle Arm Production Line","authors":"Hongying Shan, Yu Yuan, Yanxiang Zhang, Lina Li, Chuang Wang","doi":"10.1109/IEEM.2018.8607821","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607821","url":null,"abstract":"This paper studies the application of simulation software and integrates system simulation technology and lean theory. Based on the abstract entity of the knuckle arm line, the existing production line simulation model is established by Flexsim simulation software. We use the theory of production line balance to analyze production line through the process–'modeling simulation-improvement and optimization-modeling simulation'. Exerting lean theory, we explore the process which analyzes and solves problems through simulation software. This line is improved by ECRS principle. The results show that the improvement effect is significant. This paper provides method of reference and practical basis for doing the improvement and simulation optimization of production lines.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131870887","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607700
L. Becerril, C. Hollauer, U. Lindemann
Although agile development is increasingly being applied outside software development, the methods, tools and techniques are still new to the manufacturing industry. A major barrier is the difficulty to measure the benefits and limitations. Comparing the working practices of a team before and after implementing agile methods would provide some insights into the applicability and usefulness of concrete methods and tools in the context of mechatronic-product development. Nevertheless, existing agility assessment approaches are subjective, software centered, and/or require previous application of agile methods. The goal of this paper is to provide a holistic assessment of a team’s agility independently of the methods, tools and techniques applied. For this purpose, agile, non-agile and hybrid practices provide a frame of reference to characterize how teams work across 12 project processes (e.g. project monitoring) and five levels of agility.
{"title":"Assessing the Agility of Teams within Mechatronic Product Development","authors":"L. Becerril, C. Hollauer, U. Lindemann","doi":"10.1109/IEEM.2018.8607700","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607700","url":null,"abstract":"Although agile development is increasingly being applied outside software development, the methods, tools and techniques are still new to the manufacturing industry. A major barrier is the difficulty to measure the benefits and limitations. Comparing the working practices of a team before and after implementing agile methods would provide some insights into the applicability and usefulness of concrete methods and tools in the context of mechatronic-product development. Nevertheless, existing agility assessment approaches are subjective, software centered, and/or require previous application of agile methods. The goal of this paper is to provide a holistic assessment of a team’s agility independently of the methods, tools and techniques applied. For this purpose, agile, non-agile and hybrid practices provide a frame of reference to characterize how teams work across 12 project processes (e.g. project monitoring) and five levels of agility.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134211072","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607366
T. Bigler, O. Strub
The best subset selection problem in linear regression consists of selecting a small subset with a given maximum cardinality of a set of features, i.e explanatory variables, to build a linear regression model that is able to explain a given set of observations of a response variable as exactly as possible. The motivation in building linear regression models that include only a small number of features is that these models are easier to interpret. In this paper, we present a heuristic based on the concept of local branching. Such a heuristic repeatedly performs local-search iterations by applying mixed-integer programming. In each local-search iteration, we consider a different randomly selected subset of the features to reduce the required computational time. The results of our computational tests demonstrate that the proposed local-branching heuristic delivers better linear regression models than a pure mixed-integer programming approach within a limited amount of computational time.
{"title":"A Local-branching Heuristic for the Best Subset Selection Problem in Linear Regression","authors":"T. Bigler, O. Strub","doi":"10.1109/IEEM.2018.8607366","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607366","url":null,"abstract":"The best subset selection problem in linear regression consists of selecting a small subset with a given maximum cardinality of a set of features, i.e explanatory variables, to build a linear regression model that is able to explain a given set of observations of a response variable as exactly as possible. The motivation in building linear regression models that include only a small number of features is that these models are easier to interpret. In this paper, we present a heuristic based on the concept of local branching. Such a heuristic repeatedly performs local-search iterations by applying mixed-integer programming. In each local-search iteration, we consider a different randomly selected subset of the features to reduce the required computational time. The results of our computational tests demonstrate that the proposed local-branching heuristic delivers better linear regression models than a pure mixed-integer programming approach within a limited amount of computational time.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134314868","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607737
Ugyen Nima, Rinzin Wangdi, J. Hauge
Internet of Things provides an ability to interact with, share the data, and expand the capabilities of the physical world in terms of computation, communication, and key control with humans through many new modalities devices in the connected network. Though the availability of the information and performance are higher at lower cost, the usage of such system becomes more complex with the advancement of technologies. The traditional ways like lecture-based and role-playing learning has developed one-sided learning and also expensive for the low-income people to acquire such knowledge. On the other hand, serious gaming has helped the users in acquiring new experiences and complex knowledge which are acquired through solving presented challenges whereby the user applies competency to solve these problems. This paper proposes serious gaming as a learning environment for gaining competence, knowledge, and experiences in IoT and knowledge sharing for the users. Moreover, the design of a serious game, effectiveness of ATMSG framework and evaluation results are also discussed.
{"title":"A Serious Game for Competence Development in Internet of Things and Knowledge Sharing","authors":"Ugyen Nima, Rinzin Wangdi, J. Hauge","doi":"10.1109/IEEM.2018.8607737","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607737","url":null,"abstract":"Internet of Things provides an ability to interact with, share the data, and expand the capabilities of the physical world in terms of computation, communication, and key control with humans through many new modalities devices in the connected network. Though the availability of the information and performance are higher at lower cost, the usage of such system becomes more complex with the advancement of technologies. The traditional ways like lecture-based and role-playing learning has developed one-sided learning and also expensive for the low-income people to acquire such knowledge. On the other hand, serious gaming has helped the users in acquiring new experiences and complex knowledge which are acquired through solving presented challenges whereby the user applies competency to solve these problems. This paper proposes serious gaming as a learning environment for gaining competence, knowledge, and experiences in IoT and knowledge sharing for the users. Moreover, the design of a serious game, effectiveness of ATMSG framework and evaluation results are also discussed.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"272 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129925595","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607630
M. Loganathan, S. Neog, Sunil Rai
Safety and performance improvement of oil refineries are of paramount importance as far as plant throughput is concerned. The refineries do have several critical units, one such unit is Hydrocracker Unit (HCU), which is used in petroleum refineries to produce mainly diesel and other middle distillates. Maintenance of specified temperature of these products is a real challenge as far as the safety is concerned. During high throughput, the cooler used for cooling the outgoing products like diesel becomes ineffective, which results in increased diesel temperature, leading to unsafe condition and reduced performance. The critical parts of the cooler will further worsen the situation. The case study presents the excerpts of process safety and performance improvement of a HCU cooling system by installing an additional cooler as an active redundancy to reduce the diesel outlet temperature. An effective risk assessment method, FMEA (Failure Mode and Effects Analysis) has been carried out to identify the critical units of the cooler unit.
就工厂的生产能力而言，炼油厂的安全和性能改进是至关重要的。炼油厂确实有几个关键装置，其中一个是加氢裂化装置(HCU)，它主要用于石油炼油厂生产柴油和其他中间馏分。就安全性而言，维持这些产品的规定温度是一个真正的挑战。在高吞吐量时，用于冷却柴油等出口产品的冷却器失效，导致柴油温度升高，导致不安全状态和性能下降。冷却器的关键部件将使情况进一步恶化。该案例研究介绍了HCU冷却系统的过程安全和性能改进，通过安装额外的冷却器作为主动冗余来降低柴油出口温度。采用一种有效的风险评估方法FMEA (Failure Mode and Effects Analysis)来识别冷却器机组的关键部件。
{"title":"Process Safety and Performance Improvement in Oil Refineries Through Active Redundancy and Risk Assessment Method - A Case Study","authors":"M. Loganathan, S. Neog, Sunil Rai","doi":"10.1109/IEEM.2018.8607630","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607630","url":null,"abstract":"Safety and performance improvement of oil refineries are of paramount importance as far as plant throughput is concerned. The refineries do have several critical units, one such unit is Hydrocracker Unit (HCU), which is used in petroleum refineries to produce mainly diesel and other middle distillates. Maintenance of specified temperature of these products is a real challenge as far as the safety is concerned. During high throughput, the cooler used for cooling the outgoing products like diesel becomes ineffective, which results in increased diesel temperature, leading to unsafe condition and reduced performance. The critical parts of the cooler will further worsen the situation. The case study presents the excerpts of process safety and performance improvement of a HCU cooling system by installing an additional cooler as an active redundancy to reduce the diesel outlet temperature. An effective risk assessment method, FMEA (Failure Mode and Effects Analysis) has been carried out to identify the critical units of the cooler unit.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124940180","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607602
Siqi Chen, Liya Wang
This paper studied the problem of parallel processing machine scheduling, taking both set up time and run-based preventive maintenance with reliability constraints into consideration. The objective is to minimize makespan. For this NP-hard problem, an Ant Colony Optimization (ACO) algorithm is proposed. The node selecting probability equation is set based on characteristics of this problem. The objective value obtained by the proposed algorithm is compared to that of the classical LPT rule through numerical experiments. The experiment results imply that the proposed ACO algorithm has better performance than the LPT rule.
{"title":"ACO-based Parallel Machine Scheduling Considering Both Setup Time and Run-based Preventive Maintenance with Reliability Constraints","authors":"Siqi Chen, Liya Wang","doi":"10.1109/IEEM.2018.8607602","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607602","url":null,"abstract":"This paper studied the problem of parallel processing machine scheduling, taking both set up time and run-based preventive maintenance with reliability constraints into consideration. The objective is to minimize makespan. For this NP-hard problem, an Ant Colony Optimization (ACO) algorithm is proposed. The node selecting probability equation is set based on characteristics of this problem. The objective value obtained by the proposed algorithm is compared to that of the classical LPT rule through numerical experiments. The experiment results imply that the proposed ACO algorithm has better performance than the LPT rule.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125206781","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607277
S. Ahn, Cai Wang, G. W. Shin, Donggun Park, Yohan Kang, Jaramier C. Joibi, M. Yun
Body mass index (BMI) is mostly used as a reference through its indirect measure of fat mass and can be used conveniently. Despite such reference and convenience, in accordance to previous studies done, there exist a poor degree of agreement in obesity classification when it comes to BMI and the percent body fat that was found. Together with the utility of such obesity classification which refers to predefined cut-off values of BMI was seen as controversial. This study aims to discover a new method to classify obesity by using artificial intelligence (AI) techniques and statistical methods for obesity classification with minimum number of body dimensions required for input. The performance of methods used undergo comparison in terms of accuracy and interpretability. Results have shown that fuzzy rule-based system (FRBS) to be the most appropriate method amongst the rest. FRBS showed a performance of accuracy similar to other AI algorithms and discriminant analysis (DA), also showing a more stable and consistent provision of classification rules compared to the others. Concurrently, this study is suggesting the FRBS method as an obesity classification method.
体重指数(Body mass index, BMI)通过间接测量脂肪量，多作为参考，使用方便。尽管有这样的参考和方便，但根据之前所做的研究，当涉及到BMI和发现的体脂百分比时，肥胖分类的一致性很差。与这种肥胖分类的效用一起，它指的是预定义的BMI临界值，被认为是有争议的。本研究旨在利用人工智能(AI)技术和统计方法，以最少的身体尺寸输入，发现一种新的肥胖分类方法。所使用的方法在准确性和可解释性方面进行了比较。结果表明，基于模糊规则的系统(FRBS)是最合适的方法。FRBS表现出与其他人工智能算法和判别分析(DA)相似的准确性，也表现出比其他算法更稳定和一致的分类规则提供。同时，本研究建议FRBS方法作为一种肥胖分类方法。
{"title":"Comparison of Clustering Methods for Obesity Classification","authors":"S. Ahn, Cai Wang, G. W. Shin, Donggun Park, Yohan Kang, Jaramier C. Joibi, M. Yun","doi":"10.1109/IEEM.2018.8607277","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607277","url":null,"abstract":"Body mass index (BMI) is mostly used as a reference through its indirect measure of fat mass and can be used conveniently. Despite such reference and convenience, in accordance to previous studies done, there exist a poor degree of agreement in obesity classification when it comes to BMI and the percent body fat that was found. Together with the utility of such obesity classification which refers to predefined cut-off values of BMI was seen as controversial. This study aims to discover a new method to classify obesity by using artificial intelligence (AI) techniques and statistical methods for obesity classification with minimum number of body dimensions required for input. The performance of methods used undergo comparison in terms of accuracy and interpretability. Results have shown that fuzzy rule-based system (FRBS) to be the most appropriate method amongst the rest. FRBS showed a performance of accuracy similar to other AI algorithms and discriminant analysis (DA), also showing a more stable and consistent provision of classification rules compared to the others. Concurrently, this study is suggesting the FRBS method as an obesity classification method.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131685747","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607677
B. Wibowo, Monica Handayani
Experiencing local food while making a trip has a significant impact on the overall tourist experience. No wonder that visiting local restaurants has become an integral part of a tourist itinerary. Nevertheless, manually planning a travel itinerary is a complicated and time-consuming task. This study aims to introduce and solve a planning problem for generating a high-quality itinerary consisting of an efficient route to visit tourist attractions and restaurants at a proper time. We modeled this problem as a rooted orienteering problem with time windows, where the selected restaurants should be scheduled within lunch and dinner time. The objective is to maximize the total collected utility in each visited locations while maintaining the total travel time under a specific constraint. We developed a Genetic Algorithm to solve the problem and presented Yogyakarta city as a case study. The result suggested that the developed algorithm can effectively solve the problem and generate a satisfactory solution with a high total utility value.
{"title":"A Genetic Algorithm for Generating Travel Itinerary Recommendation with Restaurant Selection","authors":"B. Wibowo, Monica Handayani","doi":"10.1109/IEEM.2018.8607677","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607677","url":null,"abstract":"Experiencing local food while making a trip has a significant impact on the overall tourist experience. No wonder that visiting local restaurants has become an integral part of a tourist itinerary. Nevertheless, manually planning a travel itinerary is a complicated and time-consuming task. This study aims to introduce and solve a planning problem for generating a high-quality itinerary consisting of an efficient route to visit tourist attractions and restaurants at a proper time. We modeled this problem as a rooted orienteering problem with time windows, where the selected restaurants should be scheduled within lunch and dinner time. The objective is to maximize the total collected utility in each visited locations while maintaining the total travel time under a specific constraint. We developed a Genetic Algorithm to solve the problem and presented Yogyakarta city as a case study. The result suggested that the developed algorithm can effectively solve the problem and generate a satisfactory solution with a high total utility value.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134408174","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607569
Armin Tale-Yazdi, N. Kattner, L. Becerril, U. Lindemann
The paper provides a comprehensive literature research regarding the field of data analysis in engineering change management. The focus is on a posteriori analysis methods of engineering change data. After an introduction to the topic, identified a posteriori data analysis procedures in the engineering change management are listed and supplemented by further a priori analysis procedures. Furthermore, the a posteriori data analysis methods presented are compared on the basis of a catalogue of requirements.
{"title":"A Literature Review on Approaches for the Retrospective Utilisation of Data in Engineering Change Management","authors":"Armin Tale-Yazdi, N. Kattner, L. Becerril, U. Lindemann","doi":"10.1109/IEEM.2018.8607569","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607569","url":null,"abstract":"The paper provides a comprehensive literature research regarding the field of data analysis in engineering change management. The focus is on a posteriori analysis methods of engineering change data. After an introduction to the topic, identified a posteriori data analysis procedures in the engineering change management are listed and supplemented by further a priori analysis procedures. Furthermore, the a posteriori data analysis methods presented are compared on the basis of a catalogue of requirements.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133863360","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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