Global Production Management

Global Production Management : IFIP WG5.7 International Conference on Advances in Production Management Systems September 6-10, 1999, Berlin, Germany

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Containing case studies and research findings, this book deals with methods and tools suitable for designing, managing, and controlling processes within the supply chain. The authors are leading experts within the international community in the field of production management.
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Product details

  • Hardback | 584 pages
  • 156 x 234 x 33.27mm | 2,260g
  • Dordrecht, Netherlands
  • English
  • 1999 ed.
  • XII, 584 p.
  • 0792386051
  • 9780792386056

Table of contents

Preface. Process Oriented, Performance Headed Strategy; N. Acur, U. Bititci. Flexible job control in heterogeneous production structures; D. Ansorge, C. Effert. Communication Network System for CAD of Functional Decomposition; E. Arai, et al. A hierarchical model of distributed simulation of manufacturing systems; B.R. Babic, G.D. Putnik. Short term production management in the context of cyclic delivery schedules; Z. Bahroun, et al. Floating beds - a flexible bed-management-system in a Swiss acute hospital; N.S. Baschung, et al. The information de-coupling point; A.J.M. Beulens, et al. Dynamics of performance measurement systems; U.S. Bititci, et al. Flexible coordination and information sharing for virtual enterprises in PRODNET; L.M. Camarinha-Matos, H. Afsarmanesh. Partners search and quality-related information exchange in a virtual enterprise; L.M. Camarinha-Matos, et al. Project management interactive learning and project oriented learning organizations; J.L. Cano, et al. ECAS: a collaborative multi-agent system for mixed-model assembly lines programming; M. Caridi. Trends in planning and control systems: APS - ERP integration; M. Caridi, A. Sianesi. Clusters - the basis of competition; A.S. Carrie. Assessing the performances of a market-like model through an experimental comparison with dispatching rules; S. Cavalieri, et al. Integratied electronic commerce: an international laboratory for business-to-business integration; P.K. Chang, et al. Systems innovation tools; K. Cormican, D. O'Sullivan Management and optimization of multiple supply chains; J. Dorn. A neural network approach to dynamic job shop scheduling; T. Eguchi, et al. Supply chain management by using the electronic assistant; J. Eschenbacher, E. Cocquebert. A modelling formalism fordistributed manufacturing simulator; S. Fujii, et al. Statechart and automatons in the supervisory robust control; S. Hadji, J. Favrel. Interorganizational Patterns in collaboration implications for Danish manufacturing industry; M.W. Hansen, C. Moller. Knowledge management in Europa results from a European survey; P. Heisig, K. Mertins. The development of a method for integration between different types of simulators; H. Hibino, et al. New generation of information system for the extended enterprise; R. Hieber, R. Alard. Performance measurement for planning and control in SMEs; M. Hudson, et al. A reactive self-organised scheduling based on multi-agent paradigm; T. Kaihara, et al. A quality function deployment model of best practices in customer-supplier relationships; A.K. Kochhar, M.K. Saeed. Performance management; O. Krause, K. Mertins. The re-configurable enterprise dynamic behaviour in manufacturing systems; H. Kuhnle, D. Markfort. CODA Communication diagnosis; H. Kuhnle, S. Mertens. Challenge information logistics in decentralised structures; H. Kuhnle, K.-H. Sternemann. Tool for the evaluation of cooperations for product development between SMEs; H. Kuhnle, G. Wagenhaus. Supply chain management with a strategic modelling and simulation tool for virtual supplies; H. Laurikkala, E. Pajarre. How can simulation help in supply chain development?; J.-M. Lehtonen, J. Holmstroem. Concepts & tools for manufacturing planning, control and performance management; H. Lengning. Integration of modeling and simulation of a production system using generalised stochastic petri nets; V.I.N. Leopoulos, et al. Development of planning and scheduling reference models using the aris method & toolset; D. Little, et al.
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