International Journal of Production Research


ISSN: 0020-7543        年代:2000
当前卷期:Volume 38  issue 1     [ 查看所有卷期 ]

年代:2000
 
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1. Dynamic scheduling of FMS using a real-time genetic algorithm
  International Journal of Production Research,   Volume  38,   Issue  1,   2000,   Page  1-20

Andrea Rossi,   Gino Dini,  

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2. Nexus method for stack analysis of geometric dimensioning and tolerancing (GDT) problems
  International Journal of Production Research,   Volume  38,   Issue  1,   2000,   Page  21-37

B. K. A. Ngoi,   B.H. Lim,   P.S. Ang,  

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3. Structured adaptive supervisory control model and software development for a flexible manufacturing system
  International Journal of Production Research,   Volume  38,   Issue  1,   2000,   Page  39-49

RobinG. Qiu,   SanjayB. Joshi,  

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4. Tactical models for hierarchical capacitated lot-sizing problems with setups and changeovers
  International Journal of Production Research,   Volume  38,   Issue  1,   2000,   Page  51-67

Aline Dumoulin,   Carlo Vercellis,  

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5. Adaptive direct slicing of the solid model for rapid prototyping
  International Journal of Production Research,   Volume  38,   Issue  1,   2000,   Page  69-83

Zhiwen Zhao,   Zhiwen Luc,  

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6. Workshop scheduling using practical (inaccurate) data Part 3: A framework to integrate job releasing, routing and scheduling functions to create a robust predictive schedule
  International Journal of Production Research,   Volume  38,   Issue  1,   2000,   Page  85-99

R. Shafaei,   P. Brunn,  

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7. Optimal layout in low-level picker-to-part systems
  International Journal of Production Research,   Volume  38,   Issue  1,   2000,   Page  101-117

Franco Caron,   Gino Marchet,   Alessandro Perego,  

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8. Prediction of die casting process parameters by using an artificial neural network model for zinc alloys
  International Journal of Production Research,   Volume  38,   Issue  1,   2000,   Page  119-139

PrasadK. D. V. Yarlagadda,  

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9. The effect of push and pull lot splitting approaches on lot traceability and material handling costs in stochastic flow shop environments
  International Journal of Production Research,   Volume  38,   Issue  1,   2000,   Page  141-160

HemantV. Kher,   ManojK. Malhotra,   DanielC. Steele,  

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10. Machine learning based adaptive production control for a multi-cell flexible manufacturing system operating in a random environment
  International Journal of Production Research,   Volume  38,   Issue  1,   2000,   Page  161-185

Yohanan Arzi,   Avi Herbon,  

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