A new approach to job shop-scheduling problem

[1]  Yan Wang,et al.  Manufacturing project management in the conglomerate enterprises supported by IDSS , 2009 .

[2]  J. Madejski.  Survey of the agent-based approach to intelligent manufacturing , 2007 .

[3]  Gilmar Ferreira Batalha,et al.  Integrated product and process system with continuous improvement in the auto parts industry , 2009 .

[4]  Kostas S. Metaxiotis,et al.  An Object-Oriented Analysis and Design of a Model for Production Planning and Control in Industry , 2001 .

[5]  Takeshi Yamada,et al.  Scheduling by Genetic Local Search with Multi-Step Crossover , 1996, PPSN.

[6]  A. S. Jain,et al.  Job-shop scheduling using neural networks , 1998 .

[7]  Reha Uzsoy,et al.  A Computational Study of Shifting Bottleneck Procedures for Shop Scheduling Problems , 1997, J. Heuristics.

[8]  Marco Dorigo,et al.  Ant system for Job-shop Scheduling , 1994 .

[9]  Franci Cus,et al.  Intelligent approach for optimal modeling of manufacturing systems , 2006 .

[10]  Guoyong Shi,et al.  A genetic algorithm applied to a classic job-shop scheduling problem , 1997, Int. J. Syst. Sci..

[11]  Peter Brucker,et al.  Improving Local Search Heuristics for some Scheduling Problems. Part II , 1996, Discret. Appl. Math..

[12]  D. Szewieczek,et al.  Computer-assisted the optimisation of technological process , 2009 .

[13]  Peter Brucker,et al.  A Branch and Bound Algorithm for the Job-Shop Scheduling Problem , 1994, Discret. Appl. Math..

[14]  Takeshi Yamada,et al.  Job-Shop Scheduling by Simulated Annealing Combined with Deterministic Local Search , 1996 .