Robert T. Sumichrast
Affiliations: | Virginia Polytechnic Institute and State University, Blacksburg, VA, United States |
Area:
Industrial Engineering, Operations ResearchGoogle:
"Robert Sumichrast"
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Chun YH, Sumichrast RT. (2006) A rank-based approach to the sequential selection and assignment problem European Journal of Operational Research. 174: 1338-1344 |
Brown EC, Sumichrast RT. (2005) Evaluating performance advantages of grouping genetic algorithms Engineering Applications of Artificial Intelligence. 18: 1-12 |
Chun YH, Sumichrast RT. (2005) Estimating the market shares of stores based on the shopper's search and purchase behavior European Journal of Operational Research. 166: 576-592 |
Hung CY, Sumichrast RT, Brown EC. (2003) CPGEA: A grouping genetic algorithm for material cutting plan generation Computers and Industrial Engineering. 44: 651-672 |
Brown EC, Sumichrast RT. (2003) Impact of the replacement heuristic in a grouping genetic algorithm Computers and Operations Research. 30: 1575-1593 |
Brown EC, Sumichrast RT. (2001) CF-GGA: A grouping genetic algorithm for the cell formation problem International Journal of Production Research. 39: 3651-3669 |
Sumichrast RT, Oxenrider KA, Clayton ER. (2000) An Evolutionary Algorithm for Sequencing Production on a Paced Assembly Line Decision Sciences. 31: 149-172 |
Hung C-, Sumichrast RT. (2000) A multi-expert system for material cutting plan generation Expert Systems With Applications. 19: 19-29 |
Sumichrast RT, Clayton ER. (1996) Evaluating sequences for paced, mixed-model assembly lines with JIT component fabrication International Journal of Production Research. 34: 3125-3143 |
Sumichrast RT, Russell RS, Taylor BW. (1992) A Comparative Analysis Of Sequencing Procedures For Mixed-Model Assembly Lines In A Just-In-Time Production System International Journal of Production Research. 30: 199-214 |