Online World Conference on Soft Computing in Industrial Applications最新文献

{"title":"The use of simulation in call center optimization (keynote address)","authors":"J. Anton","doi":"10.1145/324138.324141","DOIUrl":"https://doi.org/10.1145/324138.324141","url":null,"abstract":"Driving the sweeping changes in today's business world is the growing awareness that managing customer relationships is a key factor affecting bottom-line profits. Today's customers greatly value timely accessibility. This ease of customer access is fast emerging as the critical element of global business strategy. In the not-too-distant future, customers will deal preferentially with those companies that are deemed to be the most accessible. As the \" lightning rod \" for customer interactions, world-class call centers are the single point of contact for customers. According to research conducted at Purdue University, over 75% of customer interactions will occur through call centers and the Internet by the year 2000. Fueled by tremendous advances in the integration of telephone and computer technologies, call centers have the potential for being a company's most potent weapon for maintaining long-term customer relationships. With the pressure on developing high performance call centers, managers have been challenged to understand their gaps in performance, to relate these gaps to financial consequences , and to optimize the selection of the most cost-effective solutions. We will discuss how simulation is helping to meet these needs. AUTHOR BIOGRAPHY JON ANTON is with the Department of Consumer Sciences and Retailing at Purdue University, and he is a researcher in the Purdue Call Center for Customer-Driven Quality. He specializes in enhancing customer service strategy through inbound call centers and teleweb centers along with an intranet and middleware for organizing and delivering company information now stored in limited access databases and legacy systems. Dr. Anton has assisted over 400 companies in the improvement of (a) their customer service strategy and delivery by the design and implementation of inbound and outbound call centers; and (b) the decision-making process of using teleservice providers for maximizing service levels while minimizing costs per call. In August of 1996, Call Center Magazine honored Dr. Anton by selecting him as an Original Pioneer of the emerging call center industry. Dr. Anton has guided corporate executives in strategically repositioning their call centers as robust customer access centers through a combination of reengineering, consolidation , outsourcing, and Web-enablement. The resulting single point of contact for the customer allows business to be conducted anywhere, anytime, and in any form. By better understanding the customer lifetime value, he has developed techniques for calculating the return on investment for customer service initiatives.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124683564","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":"Applying simulation in a consulting environment—tips from airport planners","authors":"W.C. Hewitt, E. Miller","doi":"10.1145/324138.324162","DOIUrl":"https://doi.org/10.1145/324138.324162","url":null,"abstract":"This paper describes the typical steps performed in a simulation consulting project in the aviation industry. While the aviation consulting environment does require some differences in the specific approach, the general framework has been applied successfully in the more traditional areas of logistics and manufacturing.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127125968","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":"Output modeling: abc's of output analysis","authors":"S. Sanchez","doi":"10.1145/324138.324144","DOIUrl":"https://doi.org/10.1145/324138.324144","url":null,"abstract":"We present a brief overview of several of the basic output analysis techniques for evaluating stochastic dynamic simulations. This tutorial is intended for those with little previous exposure to the topic, for those in need of a refresher course, and especially for those who have never heard of output analysis. We discuss the reasons why simulation output analysis differs from that taught in basic statistics courses and point out how to avoid common pitfalls that may lead to erroneous results and faulty conclusions.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127971410","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":"Knowledge-based modeling of discrete-event simulation systems","authors":"H. D. S. Arons","doi":"10.1145/324138.324441","DOIUrl":"https://doi.org/10.1145/324138.324441","url":null,"abstract":"Modeling a simulation system requires a great deal of customization. At first sight no system seems to resemble exactly another system and every time a new model has to be designed the modeler has to start from scratch. The present simulation languages provide the modeler with powerful tools that greatly facilitate building models (modules for arrivals or servers, etc.). Yet, also with these tools the modeler constantly has the feeling that he is reinventing the wheel again and again. Maybe the model he is about to design already exists (maybe the modeler has designed it himself some time ago) or maybe a model already exists that sufficiently resembles the model to be designed. In this article an approach is discussed that deploys knowledge-based systems to help selecting a model from a database of existing models. Also, if the model is not present in the database, would it be possible to select a model that in some sense is close to the model that the modeler had in mind?.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126410766","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":"Reducing model creation cycle time by automated conversion of a CAD AMHS layout design","authors":"I. Paprotny, W. Zhao, G. Mackulak","doi":"10.1145/324138.324477","DOIUrl":"https://doi.org/10.1145/324138.324477","url":null,"abstract":"Simulation is a popular tool for accurately estimating the performance of an automated material handling system (AMHS). Accuracy of the model is normally dependent on a detailed description of the AMHS physical system components and their coordinate positions. In this paper, a methodology is defined for automatically inputting the physical system components used to describe an AMHS within a simulation language. The method is based on data extraction from a CAD layout file of the system. Automatically generating the physical system components reduces simulation model building time and increases model accuracy.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114455246","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":"OOTW impact analysis","authors":"D. Hartley, R. E. Bell, S. Packard","doi":"10.1145/324898.324992","DOIUrl":"https://doi.org/10.1145/324898.324992","url":null,"abstract":"The conduct of Operations Other Than War (OOTWs) has become an extremely important part of the US military's responsibility since the end of the Cold War. The factors that influence success and failure in OOTWs are economic, political, sociological, cultural, and psychological factors more often than they are military factors. This paper explores the need for impact analysis support tools, provides a description of the required elements of such tools, and recommends a formal process for creating OOTW impact analysis tools.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"298 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134446259","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":"Interface driven domain-independent modeling architecture for “soft-commissioning” and “reality in the loop”","authors":"F. Auinger, M. Vorderwinkler, G. Buchtela","doi":"10.1145/324138.324504","DOIUrl":"https://doi.org/10.1145/324138.324504","url":null,"abstract":"As industrial manufacturing and automation systems grow in complexity, there is a need for control software engineering support. Soft-commissioning and reality in the loop (RIL) are two novel approaches which allow coupling simulation models to real world entities and allow the analyst to pre-commission and test the behavior of a system, before it is completely built in reality. To be flexible and fast in building up a simulation model fulfilling the requirements of soft-commissioning and RIL there is a need for a component-based modeling architecture. We define the characteristic requirements, and derive an architecture out of them, which is discussed from different aspects. Finally we briefly present a simple example.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132400136","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":"The main issues in nonlinear simulation metamodel estimation","authors":"M. I. Reis, Dos Santos, Acácio M O Porta, Nova","doi":"10.1145/324138.324309","DOIUrl":"https://doi.org/10.1145/324138.324309","url":null,"abstract":"We investigate and discuss some of the main issues concerning the estimation of nonlinear simulation metamodels. We propose a methodology for identifying a tentative functional relationship, estimating the metamodel coefficients and validating the simulation metamodel. This approach is illustrated with a simple queueing system. Finally, we draw some conclusions and identify topics for further work in this area.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121429148","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":"Web-based analysis and distributed IP","authors":"P. Wilsey","doi":"10.1145/324898.325299","DOIUrl":"https://doi.org/10.1145/324898.325299","url":null,"abstract":"The web presents an opportunity for realizing a distributed design framework supporting multi-disciplinary, multi-organizational collaborative design and analysis activities. The potential for deploying online, reusable parts libraries for virtual prototyping and design analysis exists. However, several issues must be solved before vendors will be willing to provide online access to their intellectual property (IP). This paper reviews the main problems facing the web-based design and analysis community before the successful application of web-based virtual prototyping can become a reality. To amplify and solidify our arguments, the application domain of web-based hardware/software co-design is used.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122986204","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":"Tips for successful practice of simulation","authors":"D. Sturrock","doi":"10.1145/324138.324153","DOIUrl":"https://doi.org/10.1145/324138.324153","url":null,"abstract":"A simulation project is much more than building a model. And the skills required go well beyond knowing a particular simulation tool. This paper discusses some important steps to enable project success and some cautions and tips to help avoid common traps.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115159513","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}