Job shop scheduling problem (JSSP) is a thriving area of scheduling research, which has
been concerned and studied widely by scholars in engineering and academic fields. This …

The substantial amount of energy consumed through industrial production has given rise to
a large number of research papers that incorporate environmental aspects and increased …

For dynamic scheduling, which is daily decision-making in a job-shop, machine availability
prediction, disturbance detection and performance evaluation are always common …

Rapid advances in sensing and communication technologies connect isolated
manufacturing units, which generates large amounts of data. The new trend of mass …

With the global energy crisis and environmental issues becoming severe, more attention has
been paid to production scheduling considering energy consumption than ever before …

Due to increasingly customised manufacturing, unpredictable ambient working conditions in
shop floors and stricter requirements on sustainability, it is challenging to achieve energy …

Concentrated on the production scheduling of complex products that are assembled by
multiple and multilevel manufactured parts, this paper studies the flexible job shop …

Energy-aware production scheduling is a promising way to adapt the factories' energy
consumption behavior to the volatile electricity prices in the demand response initiative of …

Rapid advances of sensing and cloud technologies transform the manufacturing system into
a data-rich environment and make production scheduling increasingly complex. Traditional …

Abstract The Big Data driven approach has become a new trend for manufacturing
optimisation. In this paper, an innovative Big Data enabled Intelligent Immune System (I 2 S) …