  Increased flexibility in job shops leads to more complexity in
decision-making for shop floor engineers. Partial Flexible Job Shop Scheduling
(PFJSS) is a subset of Job shop problems and has substantial application in the
real world. Priority Dispatching Rules (PDRs) are simple and easy to implement
for making quick decisions in real-time. The present study proposes a novel
method of integrating Multi-Criteria Decision Making (MCDM) methods and the
Discrete Event Simulation (DES) Model to define job priorities in large-scale
problems involving multiple criteria. DES approach is employed to model the
PFJSS to evaluate Makespan, Flow Time, and Tardiness-based measures considering
static and dynamic job arrivals. The proposed approach is implemented in a
benchmark problem and large-scale PFJSS. The integration of MCDM methods and
simulation models offers the flexibility to choose the parameters that need to
govern the ranking of jobs. The solution given by the proposed methods is
tested with the best-performing Composite Dispatching Rules (CDR), combining
several PDR, which are available in the literature. Proposed MCDM approaches
perform well for Makespan, Flow Time, and Tardiness-based measures for
large-scale real-world problems. The proposed methodology integrated with the
DES model is easy to implement in a real-time shop floor environment.
