Title :
Jag sequencing in rough mill operations
Author :
Uncu, Ozge ; Elghoneimy, Eman ; Gruver, William A. ; Kotak, Dilip ; Fleetwood, Martin
Author_Institution :
Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
Abstract :
Raw material cost is one of the major contributors to the overall cost in rough mill operations. The challenge is to choose raw materials that can fulfil a given order in a reasonable time. However, the objective of minimizing raw material cost conflicts with the objective of minimizing the processing time. This study investigates the use of a local search mechanism to find the best jag sequence for a given order. Simulation is used to evaluate the performance of each jag sequence candidate with respect to the objective function. Since the proposed method is intended for real-time production, beam search is utilized. Numerical results for a sample order list show 22% cost reduction.
Keywords :
cost reduction; milling; minimisation; raw materials; beam search; cost minimization; cost reduction; jag sequencing; local search mechanism; metaheuristic optimization; processing time minimization; raw material selection; real-time production; rough mill operation; Costs; Discrete event simulation; Fuel cells; Milling machines; Optimization methods; Raw materials; Search methods; Sorting; Strips; Technological innovation; Metaheuristic optimization; beam search; local search algorithms; raw material selection;
Conference_Titel :
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9298-1
DOI :
10.1109/ICSMC.2005.1571162
