Mohammad Alshibli

Papers

Total Citations

118

H-Index

About

Mohammad Alshibli is a leading researcher in sustainable manufacturing and intelligent automation, with a focus on end-of-life product recovery and robotic disassembly. His work addresses the critical challenge of designing efficient disassembly sequences for complex products—a computationally demanding NP-complete problem. Alshibli’s most influential paper, "Disassembly Sequencing Using Tabu Search" (2015, 74 citations), pioneered the application of metaheuristic algorithms to optimize disassembly order, significantly reducing computational time and improving recovery rates. Building on this, his 2019 study on robust disassembly sequence design using orthogonal arrays and task allocation (23 citations) introduced a systematic framework for handling uncertainty in robotic systems, enhancing reliability in real-world applications. His 2017 work on a decision maker-centered end-of-life product recovery system (21 citations) further integrates human expertise into automated task sequencing, bridging the gap between algorithmic efficiency and practical implementation. With over 118 cumulative citations, Alshibli’s contributions are foundational to advancing circular economy principles, enabling more sustainable product lifecycle management through intelligent, scalable disassembly solutions.