SURVEY OF DYNAMIC SCHEDULING IN MANUFACTURING SYSTEMS <s> DYNAMIC SCHEDULING TECHNIQUES <s> Abstract Scheduling can be divided into two classes, viz. predictive and reactive scheduling. Predictive scheduling addresses problems with deterministic process times and machine availability and generates a solution valid for the entire time span specified. Reactive scheduling, on the other hand, deals with the problem of maintaining schedules in a dynamic environment such as processing delays, machine breakdown, etc. In this paper a review of the research on scheduling in a dynamic environment is presented. Scheduling approaches have been classified into three categories, viz. conventional, knowledge-based and distributed problem solving. <s> BIB001 </s> SURVEY OF DYNAMIC SCHEDULING IN MANUFACTURING SYSTEMS <s> DYNAMIC SCHEDULING TECHNIQUES <s> Flexible manufacturing systems (FMS) have been developed with the hope that they would provide a means to tackle a threefold challenge — better quality, lower cost and shorter lead times — by integrating machine tools, robots, material handling and storage systems, and computers. Control of the integrated system presented a new set of problems as well as challenges, which have been receiving considerable attention from the academic community as well as from industrial system users. Intelligent control, which involves using computers to assist in decision making at various stages of the control process, has been advocated by many researchers as a possible avenue to reach a solution to these problems. This paper provides a review of the state of the art in intelligent control of FMS, in an attempt to supplement earlier general reviews via a more focused perspective. The principles of several techniques, namely simulation, knowledge based, example based, petri nets, and hybrid approaches are briefly introduced, and publications are reviewed, followed by discussions ontheir potential. Suggestions for further research and development are also enumerated. <s> BIB002 </s> SURVEY OF DYNAMIC SCHEDULING IN MANUFACTURING SYSTEMS <s> DYNAMIC SCHEDULING TECHNIQUES <s> Modelling Manufacturing Systems: an Introduction: P. Brandimarte, A. Villa: Introduction and Overview of the Contributions.- For Further Reading.- References.- From the Aggregate Plan to Lot-Sizing in Multi-level Production Planning: J.-C. Hennet: Introduction.- The Planning Process.- The Lot-Sizing Problem.- Example.- Conclusion.- References.- Shop Floor Scheduling in Discrete Parts Manufacturing: G. J. Meester, J. M. J. Schutten, S. L. van de Velde, W. H. M. Zijm: Introduction.- Basic Decomposition Approach.- Multi-Resource Scheduling.- Set-Up Times.- Convergent and Divergent Job Routings.- Further Extensions and Practical Aspects.- JOBPLANNER.- Conclusions.- References.- Appendix A: Derivation of Set-Up Jobs.- Integrating Layout Design and Material Flow Management in Assembly Systems: M. Lucertini, D. Pacciaretti, A. Pacifici: Introduction.- Statement of the Problem.- Feasibility Properties.- Optimization Properties.- Conclusions.- References.- Appendix: Proofs of Theorems.- Reactive Scheduling in Real Time Production Control: E. Szelke, L. Monostori: Reactive Operation Management - Predictive, Reactive and Proactive Scheduling.- Models of Reactive and Proactive Scheduling Problems.- Solution Approaches - Methods, Techniques, Tools.- Conclusions: Future Research Issues in the Field.- References.- Simulation within CAD-Environment: P. Kopacek, G. Kronreif, T. Perme: Introduction.- Simulation System LASIMCO.- Simulation in Robotics - ROMOBIL/SITAR.- Conclusion.- References.- Model of Material Handling and Robotics.- C.-Y. Huang: Introduction.- Traditional Models of Material Handling and Robotics.- Facility Description Language (FDL).- Concurrent Flexible Specifications (CFS) for Material Handling and Robotics.- Discussion and Conclusion.- References.- A Simultaneous Approach for IMS Design: a Possibility Based Approach: G. Perrone, S. Noto La Diega: Introduction.- The Decisional Environment for Strategic IMS Design.- The Strategic IMS Design Decision-Making Tool: The Possibilistic Programming Theory.- The Possibilistic Framework for Strategic FMS Design.- Numerical Example.- Conclusions.- References.- Adaptive Production Control in Modern Industries: K. N. McKay, J. A. Buzacott: Introduction.- Motivation - Inherent Uncertainty.- Applying Production Control Methods - A Perspective.- Production Control Concepts for Immaturity or Uncertainty.- Conclusion.- Acknowledgments.- References. <s> BIB003
Dynamic scheduling has been solved using the following techniques BIB001 BIB002  BIB003 : dispatching rules, heuristics, metaheuristics, artificial intelligence techniques, and multi-agent systems.