Year: 2025
Type: article
Abstract: In recent decades, the flexible job shop scheduling problem (FJSP) has been widely studied. In the context of green manufacturing, objectives related to energy consumption and sustainability have emerged as essential components of the contemporary production landscape. These scheduling objectives present new obstacles for workshop coordination, routing, and process planning. Among various green scheduling targets, energy consumption objectives constitute a substantial share. Therefore, this paper focuses on the dynamic flexible job shop scheduling problem (DFJSP) with an emphasis on energy consumption. First, this paper reviews the literature on DFJSP that considers energy consumption over the past decade. Second, this paper categorizes the dynamic constraints and dynamic event handling strategies in the indexed literature. Additionally, this paper examines the current methods for addressing this complex scheduling problem and compares and evaluates their advantages and disadvantages. Finally, this paper proposes new insights for future research from the perspectives of algorithms and energy-saving strategies.
Source: Sustainability
DOI: 10.3390/su172411009
Authors: Adilanmu Sitahong, Gang Wang, Yiping Yuan, Areziguli Wubuli, Peiyin Mo, Yulong Chen
Institution: Xinjiang University
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W4417156351