Navid Salmanzadeh
Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran
[ 1 ] - Minimizing the energy consumption and the total weighted tardiness for the flexible flowshop using NSGA-II and NRGA
This paper presents a bi-objective MIP model for the flexible flow shop scheduling problem (FFSP) in which the total weighted tardiness and the energy consumption are minimized simultaneously. In addition to considering unrelated machines at each stage, the set-up times are supposed to be sequence- and machine-dependent, and it is assumed that jobs have different release tim...
Co-Authors