Research Information System
Kapadokya Akademik Bakış, vol.7, no.1, pp.1-15, 2023 (Peer-Reviewed Journal)
In the Industry 4.0 era, manufacturing
enterprises need various digital optimization
tools to adapt to digital transformation. This
study aims to identify the subjective weights of
the challenges faced by manufacturing
enterprises when implementing Discrete Event
Simulation (DES), one of the prominent
optimization tools of the Industry 4.0 era. The
challenges examined in this empirical research
are derived from the existing literature. In this
study, three experts responsible for DES
implementation and production in their
organizations were consulted. The DecisionMaking Trial and Evaluation Laboratory
(DEMATEL) was used to reflect the subjective
weights of the decision criteria and the causeeffect relationships between them. The
DEMATEL method is a method used in the
Multi-Criteria Decision Making (MCDM)
literature to determine the subjective weights of
decision criteria. As a result of the study, the
importance ranking of the challenges faced by
manufacturing enterprises in DES
implementation was obtained and the causal
relationship between these challenges was
determined. Identifying the causal relationship
between these challenges can provide decision
makers with a competitive advantage in
overcoming these challenges. Adoption of the
findings of the study will facilitate the adoption
of DES, resulting in reduced costs, increased
customer satisfaction and competitive advantage
for industry professionals