| dc.description.abstract | The manufacturing system, which produces products to quickly adapt to customers’
demand, needs to strive for on-time scheduling to gain customers’ satisfaction. In the
manufacturing line, Flow shop system (FSS) contains of a set of operational
scheduling which is required for the smooth operation of numerous jobs, each job is
assigned to a different prioritize rule sequence before processed by machines by this
method. This study is conducted to address the congested issue among machines which
happens during the working hours in manufactures by applying the Discrete event
simulation (DES) model in conjunction with priority rules based on multi-criteria
decision making (MCDMs) and Composite Dispatching Rules (CDRs), FSS is
expected to solve the problem. To reduce the Makespan, mean Flowtime, mean
Tardiness, and maximum Tardiness, the flow shop system's performance is evaluated
according to such criteria namely Cycle time, Set-up time, Due date, Order and
Number of Operations. The suggested solution framework combines MCDM
approaches, such as the technique for prioritize order by Complex Proportional
Assessment (COPRAS), Multi-objective Optimization on the basis of Ratio Analysis
(MOORA), and VIekriteri-jumsko KOmpromisno Rangiranje (VIKOR), separately to
prioritize the jobs, and with Criteria Importance Through Inter-Criteria Correlation
(CRITIC) for allocating weights to the criteria. In conclusion, after the examination,
there is no rule that satisfies all objectives. | en_US |
