{"title":"A facility-level CIM system","authors":"G. Harhalakis, C. Lin, K. Y. Moy, H. Hillion","doi":"10.1109/CIM.1988.5417","DOIUrl":"https://doi.org/10.1109/CIM.1988.5417","url":null,"abstract":"Application modules are identified that clearly lend themselves to an integrated information flow in a controlled manner: CAD (computer-aided design) and CAPP (computer-aided process planning) consist of the product and process design centers of the proposed system respectively. MRP II undertakes the management of production plants to satisfy the market demand. The functional design of the system is presented together with the modeling and analysis, using generalize Petri nets. A database interoperability language is in its final development stage, to enable the construction of the knowledge base that will control the system. Extensions of this work include the incorporation of a shop-floor control module, to interface with the factory level.<<ETX>>","PeriodicalId":334994,"journal":{"name":"[Proceedings] 1988 International Conference on Computer Integrated Manufacturing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130729737","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":"Spatial and temporal decomposition method in production management","authors":"M.C. Portamann, J.M. Proth","doi":"10.1109/CIM.1988.5405","DOIUrl":"https://doi.org/10.1109/CIM.1988.5405","url":null,"abstract":"Some decomposition methods to split scheduling problems into smaller scheduling subproblems are discussed. Spatial decomposition methods consist of dividing the production system into subsystems that are as independent as possible. It is shown how to manage the remaining links between these subsystems. Temporal decomposition handles the problem with a decomposition along the time axes: part sets are scheduled successively, and these sets are built according to the release due dates of the parts. A spatial and temporal decomposition method is presented that first uses the spatial decomposition approach to obtain subproblems, and next computes the solution of the subproblems by the temporal decomposition approach. Numerical examples are given.<<ETX>>","PeriodicalId":334994,"journal":{"name":"[Proceedings] 1988 International Conference on Computer Integrated Manufacturing","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123685684","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":"Mare Island flexible manufacturing workstation","authors":"K. Lee, C. Yang","doi":"10.1109/CIM.1988.5386","DOIUrl":"https://doi.org/10.1109/CIM.1988.5386","url":null,"abstract":"The Mare Island flexible manufacturing workstation (MIFMW) is a fully automated flexible turning workstation being developed at the US National Bureau of Standards (NBS). It is designed to produce parts unattended, for extended periods of time. It has many capabilities and sophisticated features which include hierarchical control architecture, in-process gaging, tool setting, tool condition, monitoring, automated buffer storage of workplaces and supplies, robotic workpiece loading and unloading, and robotic changing of tools, chuck jaws, and gripper fingers. When completed, the MIFMW is expected to be one of the first small-batch flexible manufacturing systems in the US capable of running unattended for 24 hours a day, five days a week.<<ETX>>","PeriodicalId":334994,"journal":{"name":"[Proceedings] 1988 International Conference on Computer Integrated Manufacturing","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125112983","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 application of state-of-the-market CIM to GE's electrical distribution and control business","authors":"W. J. Sheeran, T. R. Campbell, J. C. Sutton","doi":"10.1109/CIM.1988.5424","DOIUrl":"https://doi.org/10.1109/CIM.1988.5424","url":null,"abstract":"The application of innovative sheet-metal fabrication and automated assembly technologies in GE's ED&C production operations is reviewed. Specific attention focused is on the integration of workcell control systems, equipment productivity levels, and process-quality controls. The result of establishing integrated systems has permitted improved customer service from the initial proposition phase of an order to short-cycle delivery of product to precise customer specifications delivery from a sophisticated CIM (computer-integrated manufacturing) manufacturing center.<<ETX>>","PeriodicalId":334994,"journal":{"name":"[Proceedings] 1988 International Conference on Computer Integrated Manufacturing","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114478197","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 flexible interface between two-dimensional representation and three-dimensional representation","authors":"H. Chou, M. Wozny","doi":"10.1109/CIM.1988.5406","DOIUrl":"https://doi.org/10.1109/CIM.1988.5406","url":null,"abstract":"An approach is presented to reconstructing an object from its engineering drawing by recognizing the 2-D features on the drawing and using volume sweeping. Important features on the drawing like symmetry, ear, rib, hole pattern and cross section are recognized. Nonexact projections are removed first, then primitives are constructed by sweep volume according to the cross section. The final object is the Boolean set of these sweep volumes. A prototype program is implemented according to this approach. Some selected examples are shown to demonstrate the processes. Limitations are discussed, and short-term improvements and long-term goals are suggested.<<ETX>>","PeriodicalId":334994,"journal":{"name":"[Proceedings] 1988 International Conference on Computer Integrated Manufacturing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114614975","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 integrated data model for CIM planning and control","authors":"M. G. Ketcham, J.M. Smith, B.O. Nnaji","doi":"10.1109/CIM.1988.5427","DOIUrl":"https://doi.org/10.1109/CIM.1988.5427","url":null,"abstract":"After describing a database-centered planning environment, the article concentrates on issues involved in developing an integrated data model. These include (1) the data requirements for representing modern manufacturing systems, (2) the data requirements for a decision-making environment, and (3) the data requirements of the planning models themselves. By emphasizing information relationships, the authors expect to establish an information structure that will combine computational models, database management, and, eventually, knowledge representation techniques developed in artificial intelligence research.<<ETX>>","PeriodicalId":334994,"journal":{"name":"[Proceedings] 1988 International Conference on Computer Integrated Manufacturing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129538711","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":"Intelligent decision support for manufacturing enterprise","authors":"E. Tse","doi":"10.1109/CIM.1988.5390","DOIUrl":"https://doi.org/10.1109/CIM.1988.5390","url":null,"abstract":"A set of ongoing research activities at the Decision System Laboratory (DSL) at Stanford University is briefly described. These activities address the global issue of strategic integration from the technical point of view of developing intelligent decision support systems (IDSS) which support the management process in strategic integration. The approach is to break the global issue into three basic subissues and organize research projects to focus on the development of subsystems for these subissues with the view that total integration will proceed in stages. The three subissues are: 'Who are you?' 'Where do you play?' and 'How do you play?'.<<ETX>>","PeriodicalId":334994,"journal":{"name":"[Proceedings] 1988 International Conference on Computer Integrated Manufacturing","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127768734","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":"PRISM (PRoductivity Improvement Systems for Manufacturing)-a CIM integration at AT&T","authors":"G. Arnold, K. Lin","doi":"10.1109/CIM.1988.5385","DOIUrl":"https://doi.org/10.1109/CIM.1988.5385","url":null,"abstract":"PRISM, the manufacturing execution link of the overall CIM (computer-integrated manufacture) architecture at AT&T, is a family of computerized information systems supporting end-to-end shop floor operations. The work presents how PRISM supports the manufacturing operations, and describes the functionalities and architectures of the PRISM systems. PRISM supports the movement of materials from the suppliers to the shop floor, the coordination of manufacturing operations, and the dissemination of engineering information for transforming the materials into final products.<<ETX>>","PeriodicalId":334994,"journal":{"name":"[Proceedings] 1988 International Conference on Computer Integrated Manufacturing","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120955573","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 system for group technology (KBGT)","authors":"A. Kusiak, W. Ibrahim","doi":"10.1109/CIM.1988.5408","DOIUrl":"https://doi.org/10.1109/CIM.1988.5408","url":null,"abstract":"A knowledge-based system, KBGT, for solving the group technology problem is presented. The formulation of the group technology problem involves constraints related to machine capacity, material handling system capability, and machine cell dimension. It has been developed for an automated manufacturing system. The KBGT takes advantage of the developments in expert systems and optimization. Two basic components of the knowledge-based system, namely the knowledge-based subsystem and the heuristic clustering algorithm, are discussed. Each partial solution generated by the clustering algorithm is evaluated for feasibility by the knowledge-based subsystem, which modifies search directions of the algorithm. The KBGT is illustrated with numerical examples.<<ETX>>","PeriodicalId":334994,"journal":{"name":"[Proceedings] 1988 International Conference on Computer Integrated Manufacturing","volume":"435 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116011456","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":"Production planning for a prone to failures manufacturing facility with stochastic demand","authors":"M. Eleftheriu, A. Desrochers","doi":"10.1109/CIM.1988.5393","DOIUrl":"https://doi.org/10.1109/CIM.1988.5393","url":null,"abstract":"The production planning of a manufacturing facility with uncertain capacity and stochastic demand is discussed. The plan is based on the hedging point policy as derived by S.B. Gershwin et al. (1985). The same policy is applied for a system that has stochastic demand and is prone to failures. The same policy can also be used to determine the size of the buffer for a system with two machines. Simulation is used to evaluate the method, since there is no analytic proof of optimality.<<ETX>>","PeriodicalId":334994,"journal":{"name":"[Proceedings] 1988 International Conference on Computer Integrated Manufacturing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131080494","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}