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 …

Recently, many manufacturing enterprises pay closer attention to energy efficiency due to
increasing energy cost and environmental awareness. Energy-efficient scheduling of …

Traditional job shop scheduling is concentrated on centralized scheduling or semi-
distributed scheduling. Under the Industry 4.0, the scheduling should deal with a smart and …

With increasing environmental awareness and energy requirement, sustainable
manufacturing has attracted growing attention. Meanwhile, distributed manufacturing …

Manufacturing enterprises nowadays face huge environmental challenges because of
energy consumption and associated environmental impacts. One of the effective strategies …

This paper proposes an energy-aware multi-objective optimization algorithm (EA-MOA) for
solving the hybrid flow shop (HFS) scheduling problem with consideration of the setup …

Facing increasingly serious ecological problems, sustainable development and green
manufacturing have attracted much attention. Meanwhile, with the development of …

Based on the analysis of multi-objective flexible job-shop scheduling problem (FJSP), a
multi-objective low-carbon job-shop scheduling problem (MLFJSP) with variable processing …

Permutation flow shop scheduling problems (PFSPs) have been extensively studied
because of its broad industrial applications. However, setup and transportation time are …

We study how to save energy from the viewpoint of operation management. When to turn-
on/off machines and which speed level to choose are two measures we employ to save …