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  • Produktbild: Operations Research in Production Planning and Control
  • Produktbild: Operations Research in Production Planning and Control

Operations Research in Production Planning and Control Proceedings of a Joint German/US Conference, Hagen, Germany, June 25–26, 1992. Under the Auspices of Deutsche Gesellschaft für Operations Research (DGOR), Operations Research Society of America (ORSA)

Fr. 137.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.12.2011

Abbildungen

X, 598 p.

Herausgeber

Günter Fandel + weitere

Verlag

Springer Berlin

Seitenzahl

598

Maße (L/B/H)

24.4/17/3.3 cm

Gewicht

1040 g

Auflage

Softcover reprint of the original 1st ed. 1993

Sprache

Englisch

ISBN

978-3-642-78065-3

Beschreibung

Portrait

Prof. Dr. Dr. h.c. Günter Fandel ist Hochschullehrer an der FernUniversität in Hagen und Editor-in-Chief der Zeitschrift für Betriebswirtschaft.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.12.2011

Abbildungen

X, 598 p.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

598

Maße (L/B/H)

24.4/17/3.3 cm

Gewicht

1040 g

Auflage

Softcover reprint of the original 1st ed. 1993

Sprache

Englisch

ISBN

978-3-642-78065-3

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Operations Research in Production Planning and Control
  • Produktbild: Operations Research in Production Planning and Control
  • I. General Planning and Modelling Approaches.- Planning Product Assortment Using Portfolio Optimization.- Rapid Modeling: The Use of Queueing Models to Support Time-Based Competitive Manufacturing.- Process Network Theory and Implementation for Technology Assessment in Manufacturing.- Is Lean Production Really Lean? The Design of a Lean Production System.- The Performance of Kanban Controlled Serial Production Systems.- Capacity Oriented Production Control for a Job Shop Production.- On Solving a Large-Scale Resource Allocation Problem in Production Planning.- Integrated Station Location and Flow Network Design for Manufacturing Systems Layout.- Using Optimization Model to Control Workpiece Rigidity and Deformation in Workholding to Achieve Precision Machining.- A New Approach to Determine the Pose and Dimension of Polygonal Shapes.- II. Flexible Manufacturing Systems.- Problems of Modelling and FMS Control Implementation.- Formal Models for Control of Flexible Manufacturing Systems.- Candidate Rule Selection to Develop Intelligent Scheduling Aids for Flexible Manufacturing Systems (FMS).- Tool Blocking in Flexible Manufacturing Systems.- III. PPC and CIM.- Architectural Framework for Integrated Production Control Systems.- A New Conceptual Framework for Hierarchically Integrated PPS-Systems.- Issues in Specifying Planning Horizons for Production Planning within CIM Environments.- IV. Scheduling.- A Closed Loop Control Heuristic for Scheduling a Manufacturing System Subject to Random Setup Times.- Resource- and Time Window-Constraint Production Scheduling with Alternative Process Plans: An Artificial Intelligence Approach.- Robust Scheduling and Game-Theoretic Control for Short-Term Scheduling of Job-Shops.- The Two-Stage Hybrid-Flowshop Scheduling Problem with Sequence-Dependent Setup Times.- Shop-Floor Scheduling and Control: A Systems Approach.- Spatially-Oriented Production Planning and Scheduling.- V. Lot-Sizing and Inventory Control.- Models for Integrated Inventory Control by EDI for A Single Supplier and Multiple Buyers.- Optimal Inventory Policy in Assembly Systems with Component Commonality.- Valuation of Leadtime Reduction in Multi-Stage Production Systems.- Nervousness and Reorder Policies in Rolling Horizon Environments.- Some Valid Constraints for the Capacitated Assembly Line Lotsizing Problem.- DLSP for Multi-Item Batch Production.- Information Production Functions in Dynamic Lot-Sizing.- VI. Quality.- How Much Quality Is Enough?.- Decision Methodology for Product Quality in Flow Lines.- VII. Neural Networks and Genetic Algorithms.- Multiple-Step-Ahead Prediction by Hierarchical Neural Networks.- Integrating Neural Nets, Simulation, and Genetic Algorithms for Real-Time Scheduling.- A Genetic Algorithm for Scheduling with Resource Consumption.- Genetic Algorithms in Problem Space for Sequencing Problems.- List of Sponsors.