[EN] The urgent need for sustainable development is imposing radical changes in the way manufacturing
systems are designed and implemented. The overall sustainability in industrial activities of
manufacturing companies must be achieved at the same time that they face unprecedented levels of
global competition. Therefore, there is a well-known need for tools and methods that can support the
design and implementation of these systems in an effective way. This paper proposes an engineering
method that helps researchers to design sustainable intelligent manufacturing systems. The approach is
focused on the identification of the manufacturing components and the design and integration of
sustainability-oriented mechanisms in the system specification, providing specific development guidelines
and tools with built-in support for sustainable features. Besides, a set of case studies is presented in
order to assess the proposed method.This research was supported by research projects TIN2015-65515-C4-1-R and TIN2016-80856-R from the Spanish government. The authors would like to acknowledge T. Bonte for her contribution to the NetLogo simulator of the AIP PRIMECA cell.Giret Boggino, AS.; Trentesaux, D.; Salido Gregorio, MÁ.; Garcia, E.; Adam, E. (2017). A holonic multi-agent methodology to design sustainable intelligent manufacturing control systems. Journal of Cleaner Production. 167(1):1370-1386. https://doi.org/10.1016/j.jclepro.2017.03.079S13701386167