95878 20210902121648.0 doi 10.3390/app10010106 sideral 116778 ART-2020-116778 eng Acero, R. Universidad de Zaragoza (orcid)0000-0002-4917-8550 Value stream analysis in military logistics: The improvement in order processing procedure 2020 Access copy available to the general public Unrestricted Military logistics is a complex process where response times, demand uncertainty, wide variety of material references, and cost-effectiveness are decisive for combat capability. The demanding flexibility can only be achieved by improving supply chain management (SCM) to minimize lead times. To cope with these requirements, lean thinking can be extended to military organizations. This research justifies and proposes the use of lean methodologies to improve logistics processes with the case study of a military unit. In particular, the article presents the results obtained using value stream mapping (VSM) and value stream design (VSD) tools to improve the order processing lead time of spare items. The procedure starts with an order generation from a military unit that requests the material and ends before transportation to the final destination. The whole project was structured, considering the define-measure-analyze-improve-control (DMAIC) problem-solving methodology. The results show that the future state map might increase added-value activities from 44% to 70%. After implementation, it was demonstrated that the methodology applied reduced the lead-time average and deviation up to 69.6% and 61.9%, respectively. info:eu-repo/grantAgreement/ES/DGA/Research Groups-European Social Found info:eu-repo/grantAgreement/ES/UZ/CUD2015-21 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.679 2020 PHYSICS, APPLIED 73 / 160 = 0.456 2020 Q2 T2 ENGINEERING, MULTIDISCIPLINARY 38 / 91 = 0.418 2020 Q2 T2 CHEMISTRY, MULTIDISCIPLINARY 101 / 178 = 0.567 2020 Q3 T2 MATERIALS SCIENCE, MULTIDISCIPLINARY 201 / 333 = 0.604 2020 Q3 T2 0.435 2020 Computer Science Applications 2020 Q2 Engineering (miscellaneous) 2020 Q2 Process Chemistry and Technology 2020 Q2 Instrumentation 2020 Q2 Materials Science (miscellaneous) 2020 Q2 Fluid Flow and Transfer Processes 2020 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 10, 1 (2020), 106 [17 pp] Appl. sci. APPLIED SCIENCES-BASEL 2076-3417 614128 http://zaguan.unizar.es/record/95878/files/texto_completo.pdf Versión publicada 519167 http://zaguan.unizar.es/record/95878/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:95878 articulos driver 2021-09-02-09:05:05 ARTICLE