Research Information System
in: Cellular Manufacturing Systems: Recent Developments, Analysis and Case Studies, Gürsel A. Süer,Mitsuo Gen, Editor, NOVA Science Publishers Inc. , Ohio, pp.533-560, 2017
Multi-Objective scheduling is one of most widely employed approaches used to
attain desirable results in the existence of more than one performance measure in
scheduling problems. The chapter focuses on multi-objective scheduling in a cell with a
flowshop configuration. One of the ways to form a model that can be used for attaining
desirable results in multi-objective environment is the use of fuzzy operators in modeling
the system. The use of fuzzy operators incorporates the model with characteristics where
user can feed desired bounds for all the desired performance measures with appropriate
membership functions. The user checks their viability or checks the satisfaction that can
be achieved by modeling the system with the performance measures chosen as objectives.
In this study, three novel mathematical models are presented and combined as a multiple
objective scheduling model where the considered three objectives are minimizing number
of tardy jobs, total tardiness and total earliness, respectively. For the solution of the
model, fuzzy programming is utilized by using min operator, augmented max-min
operator and its weighted version. All fuzzy models could find the unique optimal
solution to a known problem in experiment 1. Only the augmented max-min operator and
its weighted version were able to find the non-dominated solutions in experiment 2.