Distributed flexible job shop scheduling has attracted research interest due to the
development of global manufacturing. However, constraints including crane transportation …

With the globalization and sustainable development of the modern manufacturing industry,
distributed manufacturing and scheduling systems that consider environmental effects have …

In this paper, an effective bi-population based estimation of distribution algorithm (BEDA) is
proposed to solve the flexible job-shop scheduling problem (FJSP) with the criterion to …

With the development of the economy, distributed manufacturing has gradually become the
mainstream production mode. This work aims to solve the energy-efficient distributed flexible …

In this study, we propose an efficient optimization algorithm that is a hybrid of the iterated
greedy and simulated annealing algorithms (hereinafter, referred to as IGSA) to solve the …

The distributed flexible job-shop scheduling problem (DFJSP) is an extension of the flexible
job shop scheduling problem, which is a famous NP-complete combinatorial optimization …

This paper intends to address the distributed flexible job shop scheduling problem (DFJSP)
with minimizing maximum completion time (makespan). In order to solve this problem, we …

The single-factory manufacturing is gradually transiting to the multi-factory collaborative
production with the globalization. The decentralization of resources and the heterogeneity of …

In contrast to traditional job-shop scheduling problems, various complex constraints must be
considered in distributed manufacturing environments; therefore, developing a novel …

Distributed factory processing has attracted the attention and application of many companies
because of the low cost and high flexibility. In the present study, the self-adaptive artificial …