Efficient management of supply chain (SC) requires systematic considerations of
miscellaneous issues in its comprehensive version. In this paper, a multi-periodic structure is …

This paper aims to address current manufacturing problems such as high buffers and energy
waste by considering a novel performance measure, the sum of the core and front idle time …

In this paper, grey and entropy parallel analysis (GEPA) is presented as a new fitness-
assignment strategy for solving multi-objective optimization problems. An evolutionary …

Scheduling 'n'jobs on 'm'machines in a flow shop is NP-hard problem and places itself at
prominent place in the area of production scheduling. The essence of any scheduling …

This paper addresses the scheduling problem in a Permutation Flow Shop (PFS)
environment, which is associated with many types of industries such as chemical …

A new selection strategy for multi objective genetic algorithm: MultiMoora Rank selection Page 1
Journal of the Faculty of Engineering and Architecture of Gazi University 37:4 (2022) 2119-2131 …

Flow-shop scheduling problems constitute a type of problem that is frequently discussed in
the literature where a wide variety of methods are developed for their solution. Although the …

The permutation flowshop scheduling problem (PFSP) can be described as a set of jobs that
has to be processed on a group of machines. The purpose is to generate a sequence of jobs …

Swarm intelligence algorithm (SIA) is an important artificial intelligence technology, which
has been widely applied in various research fields. Recently, adopting various multi …

Optimization of hole-making operations plays a crucial role in which tool travel and tool
switch scheduling are the two major issues. Industrial applications such as moulds, dies …