{"title":"Resource allocation model for a fast-tracked project","authors":"Y. Bissiri, S. Dunbar","doi":"10.1109/IPMM.1999.792562","DOIUrl":"https://doi.org/10.1109/IPMM.1999.792562","url":null,"abstract":"The concept of fast-tracking a project, although generally economically beneficial, is a risky undertaking. The risks vary from being unable to complete the project in the expected time to higher costs due to excessive compression of the activity duration. The paper describes the variables involved in fast-tracking a project and then demonstrates that risks can be reduced if proper resources are carefully allocated to the project. Reducing the duration of an activity (\"crashing\") within a project usually requires additional investment and/or resources. These resources can be found within the project's pool of funds such as using overtime for manpower or they are brought into the project as additional items. The success of the fast-tracking approach depends on minimizing the cost of these additional resources. A simulation model is described that allocates resources to project activities in a way so as to minimize the additional cost of resources. The fact that the start time of an activity depends on the completion time of its predecessors makes it a probabilistic problem with respect to completion time.","PeriodicalId":194215,"journal":{"name":"Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130463652","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}
{"title":"Breeding policies in evolutionary approximation of optimal subspace","authors":"H.M. Huang, P.L. Leung","doi":"10.1109/IPMM.1999.792491","DOIUrl":"https://doi.org/10.1109/IPMM.1999.792491","url":null,"abstract":"In very high dimension variable space (e.g. 30 or more), huge computations evenly hinder investigators to conduct any direct meaningful analysis. A traditional trick is firstly to conduct single variable analysis, then combine several top most single-fittest variables to approximate the optimal subspace. In this investigation, an evolutionary method for optimal subspace approximation is proposed. The breeding policies of this evolutionary approximation, its scalability and generalization have been intensively investigated. The studied object is a 30-D variable space which contains 6000 artificial individuals. In this data, except for 3 variables containing two donut-type data distributions, each with 3000 individuals, the remaining 27 variables only contain quasi-random data with the same value range as the donut data distributions. The donut distribution consist of two toroidal distributions (classes) which are interlocked like links in a chain. The cross-section of each distribution is a Gaussian function distributed with standard deviation delta. Even the Donut problem which possesses a variety of pathological traits can invalidate many non-complex analyses for classification. The goal of this investigation was to find the 3 donut variables within the optimal subspace of 30-D variable space in which most quasi-random variables emerge as noise variables. In order to reach this goal, various breeding policies were implemented and compared. Although no perfect solution for the approximation was found, various breeding policies and their impact on decreasing the error were studied. These were found to be relatively usable for reference and might be improved when used in a practical application.","PeriodicalId":194215,"journal":{"name":"Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133143182","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}
{"title":"Artificial intelligence approach to the modeling of rolling loads in technology design for cold rolling processes","authors":"Jan Kusiak, J. Lenard, K. Dudek","doi":"10.1109/IPMM.1999.792536","DOIUrl":"https://doi.org/10.1109/IPMM.1999.792536","url":null,"abstract":"The paper presents an attempt to apply artificial neural networks (ANNs) to the prediction of the influence of various frictional conditions on rolling forces and torques. Training of the network was done using experimental data, which consist of the results of load measurements during cold rolling of aluminum alloys in different lubrication conditions. The properties of the lubricant became the input variables for the neural network. Accurate prediction of the rolling forces and torques during cold rolling under varying frictional conditions is the main ability of the model. The artificial neural network was validated using data, which were not used during the training procedure. Next, the predictions of the artificial neural network were compared with the finite element calculations of rolling under varying friction conditions. This validation confirmed the good predictive ability of the ANN model.","PeriodicalId":194215,"journal":{"name":"Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122586524","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}
{"title":"An iterative approach to determine composition and heat treatment from the mechanical yield strength of an aluminum-lithium alloy","authors":"J.W. Fragomeni","doi":"10.1109/IPMM.1999.792545","DOIUrl":"https://doi.org/10.1109/IPMM.1999.792545","url":null,"abstract":"The development of a model to predict an alloy's microstructure and processing variables from specific mechanical properties or desired mechanical properties was the general emphasis of this investigation. The processing variables included the alloy's overall heat treatment, which involves the aging practice (time and temperature) and the solution heat treatment practice, and also the manufacturing processing of the alloy which involved direct extrusion processing. The particular mechanical property of interest for the aluminum-lithium demonstration alloy was the mechanical tensile strength. The microstructure was used as the basis for determining both the composition and the heat treatment processing requirements for obtaining the desired mechanical property. Specifically, a materials design model was designed to determine microstructural parameters from mechanical properties as the basis for prediction and/or specification of the heat treatment processing parameters. An iterative approach was taken to improve the initial determination of thermal processing and composition. The overall approach will design a precipitation hardened alloy heat treatment and composition to satisfy the design tensile strength and microstructure requirements of a given materials design and manufacturing program.","PeriodicalId":194215,"journal":{"name":"Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125142648","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}
{"title":"A combined morphological and color based approach to characterize flotation froth bubbles","authors":"G. Bonifazi, S. Serranti, F. Volpe, R. Zuco","doi":"10.1109/IPMM.1999.792524","DOIUrl":"https://doi.org/10.1109/IPMM.1999.792524","url":null,"abstract":"Flotation process monitoring and control are complex targets due to the highly non-linear behavior of the process and the large number of variables involved. Control is generally achieved by adopting a human based approach. By observing the surface of flotation cells, experienced plant operators suggest, on the basis of their experience, control actions such as changing the cell level set points and/or modifying reagent doses. The main goal of the paper is to demonstrate that with a combined approach based on evaluation of the morphological and morphometrical features of froth bubbles and their color characteristics, it is possible to perform a froth structure analysis. Froth structure modeling permits us to derive useful information about the flotation process behaviour. The structure analysis carried out by means of digital imaging procedures based on color, texture and morphometry enables definition of froth classes that define mineral concentration using estimation models set up from an analysis of froth images. The paper shows that by adopting such an approach, it is possible to identify different froth classes and utilize the results inside estimation models.","PeriodicalId":194215,"journal":{"name":"Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130658097","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}
J. Kandola, S. Gunn, I. Sinclair, Philippa A. Reed
{"title":"Data driven knowledge extraction of materials properties","authors":"J. Kandola, S. Gunn, I. Sinclair, Philippa A. Reed","doi":"10.1109/IPMM.1999.792507","DOIUrl":"https://doi.org/10.1109/IPMM.1999.792507","url":null,"abstract":"The problem of modelling a large commercial materials dataset using advanced adaptive numeric methods is described. The various approaches are outlined, emphasising their characteristics with respect to generalisation, performance and transparency. A highly novel support vector machine (SVM) approach is taken incorporating a high degree of transparency via a full analysis of variance (ANOVA) expansion. Using an example which predicts 0.2% proof stress from a set of materials features, different modelling techniques are compared by benchmarking against independent test data.","PeriodicalId":194215,"journal":{"name":"Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123467873","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}
{"title":"Towards a better understanding of fuzzy sets applied to environmental science","authors":"M. Ghomshei, J. Meech","doi":"10.1109/IPMM.1999.792533","DOIUrl":"https://doi.org/10.1109/IPMM.1999.792533","url":null,"abstract":"The fuzzy set of a concept is defined by the distribution function of the degree of belief in a certain qualitative parameter, over a range of variation in a quantitative or less-qualitative parameter. The concept may be expressed with different scaling parameters and each parameter on its own, is not necessarily unique. Thus the form of a fuzzy set depends on the choice of scale. In the environmental field, regulators, health authorities, epidemiologists, politicians, environmentalists, engineers and the general public often have different definitions for a concept such as contamination. The only term which is more or less unequivocally understood by all interested groups is the final \"risk\". Proper definition and scaling of fuzzy sets can provide a common language through which experts from different disciplines can communicate through the entire process of risk assessment. The uncertainty of the input information is propagated in a fuzzy approach and yet the system output will remain fuzzy which can then be translated into either quantitative risk values or qualitative linguistic terms.","PeriodicalId":194215,"journal":{"name":"Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296)","volume":"70 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127991206","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}
{"title":"Models, algorithms and decision support systems for letter mail logistics","authors":"H. Sebastian","doi":"10.1109/IPMM.1999.792467","DOIUrl":"https://doi.org/10.1109/IPMM.1999.792467","url":null,"abstract":"The reorganization of the Deutsche Post AG imposed massive structural and organizational changes. Here we focus on the so-called main transportation network. It consists of the network connecting 83 letter mail centers distributed throughout Germany as well as the international letter mail center at the Frankfurt am Main airport. The planners have to decide how an average of about 1,500 tons of letter mail is transported between the letter mail centers each night. Moreover the system should be able to deal with special situations, such as the large increases in quantity before Christmas. The Deutsche Post AG and the ELITE Foundation are implementing a decision support system for this specific planning task in cooperation with the RWTH Aachen. The system is based on a client-server architecture, including a geographical information system, a relational database system, a graphical user interface, and a number of optimization algorithms for different planning tasks.","PeriodicalId":194215,"journal":{"name":"Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296)","volume":"30 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124380315","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}
M. Pappalardo, A. Pellegrino, M. d’Amore, P. Giordano, P. Russo
{"title":"Unit operations on single levitated particles","authors":"M. Pappalardo, A. Pellegrino, M. d’Amore, P. Giordano, P. Russo","doi":"10.1109/IPMM.1999.792586","DOIUrl":"https://doi.org/10.1109/IPMM.1999.792586","url":null,"abstract":"An electrodynamic balance used as a tool for unit operations on single sub-millimeter particles is described. Fine control of the particle position is designed and realized using either fuzzy logic concepts or traditional PID schemes. Precision and efficacy of the two methods are compared. A simple application to the drying of a droplet is shown.","PeriodicalId":194215,"journal":{"name":"Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131129525","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}
{"title":"A methodology to diagnose the target cost in a manufacturing process","authors":"A. Arioti, C. Fantozzi, M. Granchi, E. Vettori","doi":"10.1109/IPMM.1999.792559","DOIUrl":"https://doi.org/10.1109/IPMM.1999.792559","url":null,"abstract":"Techniques of target cost management have been studied to help companies identify the causes of rejected parts because of incorrect design choices. A part of the problem can be removed in the design phase by developing a model to estimate costs. This provides the designer with a tool to carry out cost estimations and make correct choices. The model also permits the determination of the estimated cost of a new component in a direct and rapid way belonging to one of a family of parts well-understood. This study was made for an important Italian company.","PeriodicalId":194215,"journal":{"name":"Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296)","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121627943","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}