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008			110218s2002 njua 001 eng
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082	0	4	_a658.53 _bPIN
100	1		_aPinedo, Michael. _9104729
245	1	0	_aScheduling : _btheory, algorithms, and systems / _cMichael Pinedo
250			_a2nd ed.
260			_aUpper Saddle River, N.J. : _bPrentice Hall, _cc2002
300			_axiv, 586 p. : _bill. ; _c24 cm.
505	0		_aPreface. - 1. Introduction. - Pt. 1. Deterministic Models. 2. Deterministic Models : Preliminaries. 3. Single Machine Models (Deterministic). 4. More Advanced Single Machine Models (Deterministic). 5. Parallel Machine Models (Deterministic). 6. Flow Shops and Flexible Flow Shops (Deterministic). 7. Jobs Shop (Deterministic). 8. Open Shops (Deterministic). - Pt. 2. Stochastic Models. 9. Stochastic Models: Preliminaries. 10. Single Machine Models (Stochastic). 11. Single Machine Models With Release Dates (Stochastic). 12. Parallel Machine Models (Stochastic). 13. Flow Shops, Job Shops, and Open Shops (Stochastic). - Pt. 3. Scheduling in Practice. 14. General Purpose Procedures for Scheduling in Practice. 15. More Advanced General Purpose Procedures. 16. Modeling and Solving Scheduling Problems in Practice. 17. Design, Development, and Inplementation of Scheduling Systems. 18. Advanced Concepts in Scheduling System Design. 19. Examples of System Designs and Implementations. 20. What Lies Ahead? - Appendixes. - A. Mathematical Programming : Formulations and Applications. - B. Deterministic and Stochastic Dynamic Programming. - C. Complexity Theory. - D. Complexity Classification of Deterministic Scheduling Problems. - E. Overview of Stochastic Scheduling Problems. F. Selected Scheduling Systems. - References. - Name Index. - Subject Index.
650		0	_aProduction scheduling.
920			_aCIT(DIP) : 540167
999			_c182112 _d182112