Jolai, et al [17] considered a parallel machines
scheduling problem with split jobs to minimize the
total tardiness. They proposed a new approach to
solve the given problem and proved a number of
theorems regarding resource planning and job
sequencing. Torabi, et al [18] considered an economic lot sizing and scheduling problem in
flexible flow lines with unrelated parallel machines
over a finite planning horizon. They developed a
new mixed zero-one nonlinear mathematical
program for this problem, and proposed an
efficient constructive heuristic (SCD) consisting of
two phases, called assigning and sequencing.
Tavakkoli-Moghaddam, et al [19] presented a new
mixed-integer goal programming (MIGP) model
for a parallel machine scheduling problem with
sequence-dependent setup times and release dates
under the hypothesis of fuzzy processing time’s
knowledge. They considered a bi-objective model
that minimizes the total weighted flow time and
total weighted tardiness.