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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)

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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 KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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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.