98294 20230921135436.0 doi 10.1016/j.promfg.2019.07.031 sideral 122013 ART-2019-122013 eng Acero, R. Universidad de Zaragoza (orcid)0000-0002-4917-8550 Order processing improvement in military logistics by Value Stream Analysis lean methodology 2019 Access copy available to the general public Unrestricted Military logistics is a complex process where response times, demand uncertainty, high variety of material references and cost effectiveness turn decisive for combat capability. Considered as the bridge between the deployed forces and the industrial base that provides materials and services that the forces needed to accomplish their mission, capacity and efficiency of delivery are required for its processes. The required flexibility could only be achieved by improving the Supply Chain Management (SCM) in order to optimize delivery lead times. To cope with these requirements, lean thinking can be extended to military organizations. This research justifies and proposes the use of Lean Six Sigma (LSS) methodologies from manufacturing to optimize logistics processes in the defense sector. In particular, the article presents the benefits and results obtained using Value Stream Analysis and DMAIC (Define, Measure, Analyze, Improve, Control) problem-solving methodology to improve the order processing lead-time as key performance indicator of a military unit delivery fulfilment. info:eu-repo/grantAgreement/ES/UZ/CUD2015-21 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 0.516 2019 Industrial and Manufacturing Engineering 2019 Q2 Artificial Intelligence 2019 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Torralba, M. (orcid)0000-0002-3069-2736 Pérez-Moya, R. Pozo, J.A. 5002 515 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Ing. Procesos Fabricación 41 (2019), 74-81 Procedia Manufacturing 2351-9789 723565 http://zaguan.unizar.es/record/98294/files/texto_completo.pdf Versión publicada 2107765 http://zaguan.unizar.es/record/98294/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:98294 articulos driver 2023-09-21-13:31:03 ARTICLE