Uncertainty in Energy-Efficient Job Shop Scheduling: A Literature Review and A Framework | ||
| JES. Journal of Engineering Sciences | ||
| Article 9, Volume 54, Issue 3, May and June 2026 | ||
| Document Type: Review Paper | ||
| DOI: 10.21608/jesaun.2025.386436.1523 | ||
| Authors | ||
| Mohamed ElAtly* 1; Noha Shouman2; Lamia Shihata3 | ||
| 1Mechanical Department, Faculty of Engineering, German International University, New Administrative Capital, Egypt | ||
| 2Electrical Department, Faculty of Engineering, German International University, New Administrative Capital, Egypt | ||
| 3Engineering Design and Production Technology, Faculty of Engineering and Material Science, German University in Cairo, New Cairo, Egypt | ||
| Abstract | ||
| The purpose of this study is to review recent energy-efficient scheduling contributions in job shops and the inclusion of uncertainty or dynamic events in literature. This research carries on the work of previous review papers, surveying energy-efficient job shop scheduling published in the last 3 years up to date, with the findings filtered and analyzed based on their job shop subtype, objective functions, and the inclusion of a source of uncertainty. Degrees of uncertainty and sources of dynamic events in the manufacturing environment are discussed, along with the possible relationship of the consequent classifications with the review's findings. A Scheduling Uncertainty Matrix is developed to address the appropriate scheduling strategies to handle different degrees of uncertainty in the manufacturing environment. A proposed energy-efficient scheduling general framework is presented as well. This review articles proposes fresh insight into including uncertainty in the optimization of energy-efficient scheduling from the manufacturing environment's perspective, proposing potential future research directions. | ||
| Keywords | ||
| energy-efficient scheduling; job shop; literature review; framework; Scheduling Uncertainty Matrix | ||
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