Currently, manufacturing enterprises face increasingly fierce market competition due to the
various demands of customers and the rapid development of economic globalization …

Distributed Scheduling (DS) problems have attracted attention by researchers in recent
years. DS problems in multi-factory production are much more complicated than classical …

The classical distributed production scheduling problem (DPSP) assumes that factories are
identical, and each factory is composed of just some machines. Inspired by the fact that …

Traditionally centralized manufacturing planning, scheduling, and control mechanisms are
being found to be insufficiently flexible to respond to highly dynamic variations in the market …

Genetic algorithms (GAs) have been widely applied to the scheduling and sequencing
problems due to its applicability to different domains and the capability in obtaining near …

Distributed scheduling becomes popular with the shift of production from single factory to
multiple factories and reveals new features and the increasing optimisation difficulties. In this …

This paper proposes an adaptive genetic algorithm for distributed scheduling problems in
multi-factory and multi-product environment. Distributed production strategy enables …

Manufacturing scheduling is an optimization process that allocates limited manufacturing
resources over time among parallel and sequential manufacturing activities. This allocation …

Distributed manufacturing plays an important role for large-scale companies to reduce
production and transportation costs for globalized orders. However, how to real-timely and …

In general, distributed scheduling problem focuses on simultaneously solving two issues:(i)
allocation of jobs to suitable factories and (ii) determination of the corresponding production …