Pub Date : 2013-12-01DOI: 10.1109/IEEM.2013.6962698
T. Blaszczyk, P. Błaszczyk
Most of today's projects are interdisciplinary and requires the involvement of contractors that specialize in different types of works. In various circumstances, it may be advisable to minimize their multiplicity or their diversification. In some cases it may be desirable to meet certain characteristics by contractors for selected tasks. The aim of this paper is to determine the model of selection of contractors in complex project from the point of view of the project owner or general contractor. As a methodological basis we use the multi-criterial decision model assigning each task to specific contractors in the project with the function of distribution of penalties arising from delayed completion and potential benefits in the event of early termination of the project.
{"title":"Selection of sub-contractors of the project while minimizing settlements of contractual penalties and success fees","authors":"T. Blaszczyk, P. Błaszczyk","doi":"10.1109/IEEM.2013.6962698","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962698","url":null,"abstract":"Most of today's projects are interdisciplinary and requires the involvement of contractors that specialize in different types of works. In various circumstances, it may be advisable to minimize their multiplicity or their diversification. In some cases it may be desirable to meet certain characteristics by contractors for selected tasks. The aim of this paper is to determine the model of selection of contractors in complex project from the point of view of the project owner or general contractor. As a methodological basis we use the multi-criterial decision model assigning each task to specific contractors in the project with the function of distribution of penalties arising from delayed completion and potential benefits in the event of early termination of the project.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"2 2","pages":"1689-1693"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72630257","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.2013.6962431
M. Roth, D. Kasperek, U. Lindemann
In evolutionary grown mechatronic systems, the involved disciplines are often not sufficiently integrated. For optimization and improvement of this situation, the system and its functional dependencies are modeled. During the steps of defining objects and building up the model, the identification of functional dependencies is challenging. This contribution presents an approach to support these steps in order to improve the quality of the model. It addresses situations and systems, in which documentation and a system overview are not available adequately. Thus a modeling-scheme is developed and the elements are used to build up a Multiple Domain Matrix. The functional dependencies are derived from relations in the domains of “information” and “states”. The approach is demonstrated by an example out of industrial context.
{"title":"Functional analysis and modeling of complex, evolutionary grown, mechatronic products","authors":"M. Roth, D. Kasperek, U. Lindemann","doi":"10.1109/IEEM.2013.6962431","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962431","url":null,"abstract":"In evolutionary grown mechatronic systems, the involved disciplines are often not sufficiently integrated. For optimization and improvement of this situation, the system and its functional dependencies are modeled. During the steps of defining objects and building up the model, the identification of functional dependencies is challenging. This contribution presents an approach to support these steps in order to improve the quality of the model. It addresses situations and systems, in which documentation and a system overview are not available adequately. Thus a modeling-scheme is developed and the elements are used to build up a Multiple Domain Matrix. The functional dependencies are derived from relations in the domains of “information” and “states”. The approach is demonstrated by an example out of industrial context.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"29 1","pages":"346-350"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74950405","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.2013.6962445
C. A. Mican, V. Jimenez, J. Perez, J. Borrero
The projects in the construction sector are developed in complex and dynamic circumstances due to uncertainties and risks. The schedule risk is the probability that the project exceeds the initial programming, for which several methodologies are proposed; on the other hand very few of them have been used in countries where the economies are in development. This paper presents a case study of the construction industry in the city of Cali-Colombia, integrating the RMFEA prioritization method and the Bayesian Networks model for the schedule risk analysis in construction projects. It will be possible to identify the main own risks in this type of projects and the impact that they have in the probability of finishing the project on time.
{"title":"Schedule risk analysis in construction project using RFMEA and Bayesian networks: The Cali-Colombia case study","authors":"C. A. Mican, V. Jimenez, J. Perez, J. Borrero","doi":"10.1109/IEEM.2013.6962445","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962445","url":null,"abstract":"The projects in the construction sector are developed in complex and dynamic circumstances due to uncertainties and risks. The schedule risk is the probability that the project exceeds the initial programming, for which several methodologies are proposed; on the other hand very few of them have been used in countries where the economies are in development. This paper presents a case study of the construction industry in the city of Cali-Colombia, integrating the RMFEA prioritization method and the Bayesian Networks model for the schedule risk analysis in construction projects. It will be possible to identify the main own risks in this type of projects and the impact that they have in the probability of finishing the project on time.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"36 1","pages":"415-419"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79813035","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.2013.6962530
H. Barkia, X. Boucher, R. Riche, P. Beaune, Marie-Agnès Girard, David Rozier
Semiconductor manufacturing processes are known to be long and complex. Starting from a silicon wafer, multiple treatments are applied for about three months. Mastering the manufacturing process as well as a rapid identification of yield loss' causes are the keys to a successful semiconductor fabrication plant. The production cycle is composed of a combination of production and quality inspection steps. Data collected at production and quality control steps, lead to huge heterogeneous databases. In order to understand yield loss causes, we propose a KDD (Knowledge Discovery from Databases) approach, which explores the knowledge hidden in these multiple databases, by identifying, first, clusters in the different databases and, second, relational patterns between them. These relational patterns represent potential yield loss' causes.
众所周知，半导体制造过程漫长而复杂。从硅片开始，在大约三个月的时间里进行多次处理。掌握制造工艺以及快速识别良率损失的原因是半导体制造工厂成功的关键。生产周期由生产和质量检验两个步骤组成。在生产和质量控制阶段收集的数据导致了庞大的异构数据库。为了了解产量损失的原因，我们提出了一种KDD (Knowledge Discovery from Databases)方法，该方法首先通过识别不同数据库中的聚类，然后通过识别它们之间的关系模式来探索隐藏在这些多个数据库中的知识。这些关系模式代表了潜在的产量损失原因。
{"title":"Semiconductor yield loss' causes identification: A data mining approach","authors":"H. Barkia, X. Boucher, R. Riche, P. Beaune, Marie-Agnès Girard, David Rozier","doi":"10.1109/IEEM.2013.6962530","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962530","url":null,"abstract":"Semiconductor manufacturing processes are known to be long and complex. Starting from a silicon wafer, multiple treatments are applied for about three months. Mastering the manufacturing process as well as a rapid identification of yield loss' causes are the keys to a successful semiconductor fabrication plant. The production cycle is composed of a combination of production and quality inspection steps. Data collected at production and quality control steps, lead to huge heterogeneous databases. In order to understand yield loss causes, we propose a KDD (Knowledge Discovery from Databases) approach, which explores the knowledge hidden in these multiple databases, by identifying, first, clusters in the different databases and, second, relational patterns between them. These relational patterns represent potential yield loss' causes.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"94 1","pages":"843-847"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79447129","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.2013.6962576
M. Mutingi, C. Mbohwa
The assignment of care tasks to healthcare staff in home care organizations is complex. Necessitated by the ever increasing home-based care needs, the need to improve healthcare service quality and efficiency, staff morale, and business competitiveness over the long term, the design of high quality task schedules is imperative. It is especially important to improve high quality task schedules by ensuring that staff workloads are fairly balanced as much as possible. As such, the desired goal is to minimize workload imbalance, while avoiding long distance travels to patients and violation of patients' time windows. However, in practice, the goal is often subjective and imprecise as it involves human preferences from the care givers, the management, and the patients. The present paper develops a fuzzy particle swarm optimization (FPSO) for care task assignment in a home healthcare setting. The FPSO approach uses fuzzy evaluation based on fuzzy set theory. Illustrative computational results show that the approach is promising.
{"title":"A fuzzy particle swarm optimization approach for task assignment in home health care","authors":"M. Mutingi, C. Mbohwa","doi":"10.1109/IEEM.2013.6962576","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962576","url":null,"abstract":"The assignment of care tasks to healthcare staff in home care organizations is complex. Necessitated by the ever increasing home-based care needs, the need to improve healthcare service quality and efficiency, staff morale, and business competitiveness over the long term, the design of high quality task schedules is imperative. It is especially important to improve high quality task schedules by ensuring that staff workloads are fairly balanced as much as possible. As such, the desired goal is to minimize workload imbalance, while avoiding long distance travels to patients and violation of patients' time windows. However, in practice, the goal is often subjective and imprecise as it involves human preferences from the care givers, the management, and the patients. The present paper develops a fuzzy particle swarm optimization (FPSO) for care task assignment in a home healthcare setting. The FPSO approach uses fuzzy evaluation based on fuzzy set theory. Illustrative computational results show that the approach is promising.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"74 1","pages":"1077-1081"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78269629","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.2013.6962610
C. Temiyasathit, N. Jangsetthagul
Statistical analysis of inventory data has been widely used to investigate the behavior of demand, the order execution and the delivery data in business industry. The analysis benefits the supplier in many ways. This study focuses on statistical analysis of spare part management of Water Purifier's electronic modules. The challenge of this demand prediction is that the electronic modules have random failure as well as an uncertain delivery lead time and delivery quantity. Without implementing the ERP system, the spare part ordering policy is an intuitive-based order. The present study investigates the suitable forecasting method for electronic module in after-Sales service department in Thailand. A study of probability distribution is incorporate in order to define sample probability distribution of uncertain delivery lead time and quantity. The new ordering policy based on a defined probability distribution is proposed to facilitate the elimination of intuitive-based ordering system, minimize the stock level, and improve the inventory management and control strategy. The results with real inventory data showed that our proposed policy achieved satisfactory stock level as well as significantly reduce inventory cost while maintain a high customer service level.
{"title":"Improving the efficiency of ordering policy: An application in a class-A spare part","authors":"C. Temiyasathit, N. Jangsetthagul","doi":"10.1109/IEEM.2013.6962610","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962610","url":null,"abstract":"Statistical analysis of inventory data has been widely used to investigate the behavior of demand, the order execution and the delivery data in business industry. The analysis benefits the supplier in many ways. This study focuses on statistical analysis of spare part management of Water Purifier's electronic modules. The challenge of this demand prediction is that the electronic modules have random failure as well as an uncertain delivery lead time and delivery quantity. Without implementing the ERP system, the spare part ordering policy is an intuitive-based order. The present study investigates the suitable forecasting method for electronic module in after-Sales service department in Thailand. A study of probability distribution is incorporate in order to define sample probability distribution of uncertain delivery lead time and quantity. The new ordering policy based on a defined probability distribution is proposed to facilitate the elimination of intuitive-based ordering system, minimize the stock level, and improve the inventory management and control strategy. The results with real inventory data showed that our proposed policy achieved satisfactory stock level as well as significantly reduce inventory cost while maintain a high customer service level.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"1 1","pages":"1243-1247"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78476185","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.2013.6962550
S. K. Chaharsooghi, H. Yadegari
One of the most important challenges in inventory control of an efficient supply chain is to minimize logistics costs for each member of the chain. This challenge is even more important when facing non-deterministic demands. In this paper, a divergent two-echelon inventory model is developed to minimize logistics costs (ordering, holding and shortage costs) both for a warehouse and retailers when facing a Poisson stochastic demand. First, a mathematical model is developed which consists of one warehouse and multiple retailers with ordering, holding and shortage costs. The warehouse, similar to the retailers, has both backorder and lost-sales shortage costs simultaneously. This simultaneous combination of backorder and lost-sales shortage costs for both the warehouse and the retailers is the main contribution of this paper towards the research field of divergent two-echelon inventory models. The mathematical model is analytically solved and then validated through simulation. Finally, validity of the model is evaluated by comparing the mathematical and simulation results which indicate the contribution of "percent of warehouse demand with lost sales" and "percent of each retailers' demand with lost sales" parameters affect the total costs of the system.
{"title":"Developing a two-echelon inventory model with simultaneous consideration of backorders and lost sales","authors":"S. K. Chaharsooghi, H. Yadegari","doi":"10.1109/IEEM.2013.6962550","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962550","url":null,"abstract":"One of the most important challenges in inventory control of an efficient supply chain is to minimize logistics costs for each member of the chain. This challenge is even more important when facing non-deterministic demands. In this paper, a divergent two-echelon inventory model is developed to minimize logistics costs (ordering, holding and shortage costs) both for a warehouse and retailers when facing a Poisson stochastic demand. First, a mathematical model is developed which consists of one warehouse and multiple retailers with ordering, holding and shortage costs. The warehouse, similar to the retailers, has both backorder and lost-sales shortage costs simultaneously. This simultaneous combination of backorder and lost-sales shortage costs for both the warehouse and the retailers is the main contribution of this paper towards the research field of divergent two-echelon inventory models. The mathematical model is analytically solved and then validated through simulation. Finally, validity of the model is evaluated by comparing the mathematical and simulation results which indicate the contribution of \"percent of warehouse demand with lost sales\" and \"percent of each retailers' demand with lost sales\" parameters affect the total costs of the system.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"37 1","pages":"940-947"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77962077","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.2013.6962623
X. Zhang, Ke Wang, H. Wang, Z. Xie
The design and development of aerospace product is a collaborative multi-discipline project. The integrated and consistent information modeling of all the information, models, documents and other product data generated during design and development is critical to success. An integrated information model, defined as EDPS (Engineering Digital Prototyping for Satellite) is proposed. Aiming at modeling product information in system design, multi-discipline analysis and simulation, process planning, and prototype testing, be compatible with different data and file format, providing a consistent product semantics information model, EDPS is defined and represented based on ontology to promote collaboration in product development. The composition and representation method of EDPS is proposed. The satellite design process driven by EDPS is discussed as a case study.
{"title":"Integrated information modeling of engineering digital prototyping for satellite design","authors":"X. Zhang, Ke Wang, H. Wang, Z. Xie","doi":"10.1109/IEEM.2013.6962623","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962623","url":null,"abstract":"The design and development of aerospace product is a collaborative multi-discipline project. The integrated and consistent information modeling of all the information, models, documents and other product data generated during design and development is critical to success. An integrated information model, defined as EDPS (Engineering Digital Prototyping for Satellite) is proposed. Aiming at modeling product information in system design, multi-discipline analysis and simulation, process planning, and prototype testing, be compatible with different data and file format, providing a consistent product semantics information model, EDPS is defined and represented based on ontology to promote collaboration in product development. The composition and representation method of EDPS is proposed. The satellite design process driven by EDPS is discussed as a case study.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"44 1","pages":"1314-1318"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76643175","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.2013.6962518
Shih-Miao Huang
This study was to explore the affective qualities which influence subjects' aesthetic preferences. Forty-six subjects assessed sixteen skins on an aesthetic preference scale and eleven affective meaning scales. The aesthetic preference was regarded as a dependent variable; the eleven affective meanings were independent variables. The Stepwise Regression Analysis was performed. The result showed that six affective meanings: “exquisite”, “original”, “strong”, “childlike”, “intense” and “pure” entered the model. Besides, “exquisite”, was the most important affective quality in judgment of aesthetic preferences. It implied that designers had to create the interactive interfaces with an “exquisite” affective quality to please users' aesthetic affects. Furthermore, the other five affective meanings which were not selected into the model were called LoSPA affective meanings. It indicated that subjects had different aesthetic preference levels for skins evoking the affective meaning in LoSPA. It implied that a specific user group would prefer the skins evoking the affective meaning.
{"title":"A study of affective meanings predicting aesthetic preferences of interactive skins","authors":"Shih-Miao Huang","doi":"10.1109/IEEM.2013.6962518","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962518","url":null,"abstract":"This study was to explore the affective qualities which influence subjects' aesthetic preferences. Forty-six subjects assessed sixteen skins on an aesthetic preference scale and eleven affective meaning scales. The aesthetic preference was regarded as a dependent variable; the eleven affective meanings were independent variables. The Stepwise Regression Analysis was performed. The result showed that six affective meanings: “exquisite”, “original”, “strong”, “childlike”, “intense” and “pure” entered the model. Besides, “exquisite”, was the most important affective quality in judgment of aesthetic preferences. It implied that designers had to create the interactive interfaces with an “exquisite” affective quality to please users' aesthetic affects. Furthermore, the other five affective meanings which were not selected into the model were called LoSPA affective meanings. It indicated that subjects had different aesthetic preference levels for skins evoking the affective meaning in LoSPA. It implied that a specific user group would prefer the skins evoking the affective meaning.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"18 1","pages":"781-785"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82255031","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.2013.6962634
P. Pitiot, M. Aldanondo, É. Vareilles, T. Coudert, L. Zhang
This communication deals with mass customization and the association of the product configuration task with the planning of its production process while trying to optimize cost and cycle time. In some previous works, we have proposed an optimization algorithm, called CFB-EA. This communication concerns a way to improve CFB-EA for large problems. Previous experiments have highlighted that CFB-EA is able to find quickly a good approximation of the Pareto Front. This led us to propose to decompose the optimization in two tasks. First, a “rough” approximation of the Pareto Front is quickly searched and proposed to the user. Then the user indicates the area of the Pareto Front that he is interested in. The problem is filtered and the solution space reduced. A second optimization is launched on the focused area. Our goal is to compare the classical single task optimization with the two tasks proposed approach.
{"title":"Optimizing concurrent configuration and planning: A proposition to reduce computation time","authors":"P. Pitiot, M. Aldanondo, É. Vareilles, T. Coudert, L. Zhang","doi":"10.1109/IEEM.2013.6962634","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962634","url":null,"abstract":"This communication deals with mass customization and the association of the product configuration task with the planning of its production process while trying to optimize cost and cycle time. In some previous works, we have proposed an optimization algorithm, called CFB-EA. This communication concerns a way to improve CFB-EA for large problems. Previous experiments have highlighted that CFB-EA is able to find quickly a good approximation of the Pareto Front. This led us to propose to decompose the optimization in two tasks. First, a “rough” approximation of the Pareto Front is quickly searched and proposed to the user. Then the user indicates the area of the Pareto Front that he is interested in. The problem is filtered and the solution space reduced. A second optimization is launched on the focused area. Our goal is to compare the classical single task optimization with the two tasks proposed approach.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"9 1","pages":"1367-1371"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87882249","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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