A three layer feed forward neural network was constructed and tested to analyze the scheduling process on single machine. The operating variables studied are the operation, processing time, setup time, deadline time, duedate time, priority, machine, and fabric color. These variables were used as input to the constructed neural network in order to predict the scheduling completion time as the ou...

This paper introduces a modified shifting bottleneck approach to solve train scheduling and rescheduling problems. The problem is formulated as a job shop scheduling model and a mixed integer linear programming model is also presented. The shifting bottleneck procedure is a wellestablished heuristic method for obtaining solutions to the job shop and other machine scheduling problems. We modify ...

Single-machine scheduling with past-sequence-dependent setup times and learning effects: a parametric analysis V. Mani, Pei-Chann Chang* and Shih-Hsin Chen Department of Aerospace Engineering, Indian Institute of Science, Bangalore, India; Department of Information Management, Yuan Ze University, 135, Yuan-Dong Road, Tao-Yuan 320, Taiwan, R.O.C.; Department of Electronic Commerce Management, Na...