Manufacturing industry accounts for about one-third of the world's total energy consumption
(TEC). This study aims to develop a novel mixed-integer mathematical model to represent …

The incorporation of energy conservation measures into production efficiency is widely
recognized as a crucial aspect of contemporary industry. This study aims to develop …

As environmental awareness grows, sustainable scheduling is attracting increasing
attention. The purposes of this paper are obtain the lower bound of energy-efficient flexible …

In many intelligent job shop, a scheduling system has collected and stored huge amounts of
production data. Meanwhile, managers still believe that more scheduling knowledge should …

Designing effective dispatching rules for production systems is a difficult and time-
consuming task if it is done manually. In the last decade, the growth of computing power …

Because of advances in computational power and machine learning algorithms, the
automated design of scheduling rules using Genetic Programming (GP) is successfully …

Identifying the best Dispatching Rule in order to minimize makespan in a Job Shop
Scheduling Problem is a complex task, since no Dispatching Rule is better than all others in …

In this paper, a genetic programming based data mining approach is proposed to select
dispatching rules which will result in competitive shop performance under a given set of …

Dispatching rules are extensively addressed in the dynamic job shop scheduling literature
and are commonly adopted in many industrial practices. The manual design of dispatching …

Integrating energy savings into production efficiency is considered as one essential factor in
modern industrial practice. A lot of research dealing with energy efficiency problems in the …