@ARTICLE{KUO_Yiyo_Optimal_2025,
 author={KUO, Yiyo and CHEN, Shih-Chen},
 volume={Vol. 16},
 number={No 4},
 journal={Management and Production Engineering Review},
 howpublished={online},
 year={2025},
 publisher={Production Engineering Committee of the Polish Academy of Sciences, Polish Association for Production Management},
 abstract={This research deals with an operator assignment and cell loading problem in multi-cell production systems with inter-cell operator sharing. A two-phase methodology is proposed to minimize the total manpower requirement. In the first phase, manpower configurations for all products with all levels of manpower available will be generated taking inter-cell operator sharing into consideration. The second phase optimizes the cell loading and selects the manpower configuration for all cells when given a product mix. In order to further reduce manpower requirements, lot-splitting is considered. For both phases, the corresponding mathematical models, which can be optimized by commercial software, LINGO 17, are developed. A case study of a jewelry manufacturing company proposed taken from the literature is adopted to test the proposed methodology. The results show the strategy of inter-cell operator sharing can save 11.56% manpower at most. Moreover, if lot-splitting is considered, at most 14.66% of manpower can be saved.},
 title={Optimal Operator Assignment and Cell Loading in Labor-Intensive Manufacturing Systems with Inter-Cell Operator Sharing},
 URL={http://www.journals.pan.pl/Content/137699/PDF-MASTER/597_1k.pdf},
 doi={10.24425/mper.2025.157216},
 keywords={Cellular Production, Operator assignment, mathematical programming, Cell Loading, Operatorsharing},
}