Recent Advances in Control and Optimization of Manufacturing Systems

1. Front Matter

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2. Matrix methods in production planning of failure prone manufacturing systems

   • Wai Ki Ching, Xun Yun Zhou

   Pages 1-29

3. Optimal control of a failure prone manufacturing system with the possibility of temporary increase in production capacity

   • Lei Huang, Jian-Qiang Hu, Pirooz Vakili

   Pages 31-60

4. Optimal control of manufacturing systems with buffer holding costs

   • James R. Perkins, R. Srikant

   Pages 61-96

5. Using second moment information in stochastic scheduling

   • Marilyn J. Maddox, John R. Birge

   Pages 97-120

6. Improvability of serial production lines: Theory and applications

   • D. Jacobs, C. -T. Kuo, J. -T. Lim, S. M. Meerkov

   Pages 121-143

7. Asymptotic optimal feedback controls in stochastic dynamic two-machine flowshops

   • Suresh P. Sethi, Xun Yu Zhou

   Pages 145-180

8. Studying flexible manufacturing systems via deterministic control problems

   • Qiji J. Zhu

   Pages 181-196

9. On robust design for a class of failure prone manufacturing systems

   • E. K. Boukas, Q. Zhang, G. Yin

   Pages 197-222

10. Back Matter

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In a competitive world, research in manufacturing systems plays an important role in creating, updating and improving the technologies and management practices of the economy. This volume presents some of the most recent results in stochastic manufacturing systems. Experts from the fields of applied mathematics, engineering and management sciences review and substantially update the recent advances in the control and optimization of manufacturing systems. Recent Advances in Control and Optimization of Manufacturing Systems consists of eight chapters divided into three parts which focus on Optimal Production Planning, Scheduling and Improvability and Approximate Optimality and Robustness. This book is intended for researchers and practitioners in the fields of systems theory, control and optimization, and operation management as well as in applied probability and stochastic processes.

• applied mathematics
• capacity
• control
• design
• feedback
• optimal control
• optimization
• scheduling
• stochastic processes
• systems theory

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