@ARTICLE{Moerth-Teo_Oliver_Production_2022,
 author={Moerth-Teo, Oliver and Schlögl, Gernot and Abdul-Hadi, Muaaz and Brillinger, Markus and Weinzerl, Martin and Ramsauer, Christian},
 volume={vol. 13},
 number={No 3},
 pages={20-29},
 journal={Management and Production Engineering Review},
 howpublished={online},
 year={2022},
 publisher={Production Engineering Committee of the Polish Academy of Sciences, Polish Association for Production Management},
 abstract={The automotive industry is characterized by a high degree of uncertainty. Companies are facing the challenge of producing different systems simultaneously. Additionally, the global quantity of electric vehicles is also expected to increase significantly. This results in the following capability to remain competitive: Effective and efficient adaptions of production systems to model variations and volume increases. While flexible production is identified as the most promising concept, defining the actual flexibility level of included production resources is essential for its proper realization. A literature review on existing flexibility assessment approaches revealed their emphasis on high-level enablers and limited practical applicability in the automotive industry. In contrast, focusing the assessment on single workstations supports the selection of appropriate production resources. Therefore, a simple and structured standard procedure for a production resource flexibility assessment was developed. This theoretical construct was subsequently complemented with practical insights through its application on two real-life case studies within one automotive engineering company. Summarizing and discussing the findings in combination with a conclusion completed this paper.},
 type={Article},
 title={Production Resource Flexibility Assessment: Case Studies in the Automotive Industry},
 URL={http://ochroma.man.poznan.pl/Content/124564/PDF-MASTER/2_746_corr.pdf},
 doi={10.24425/mper.2022.142379},
 keywords={Production Flexibility, Production Resource, Flexibility Assessment, Automotive industry},
}