000098294 001__ 98294
000098294 005__ 20230921135436.0
000098294 0247_ $$2doi$$a10.1016/j.promfg.2019.07.031
000098294 0248_ $$2sideral$$a122013
000098294 037__ $$aART-2019-122013
000098294 041__ $$aeng
000098294 100__ $$0(orcid)0000-0002-4917-8550$$aAcero, R.$$uUniversidad de Zaragoza
000098294 245__ $$aOrder processing improvement in military logistics by Value Stream Analysis lean methodology
000098294 260__ $$c2019
000098294 5060_ $$aAccess copy available to the general public$$fUnrestricted
000098294 5203_ $$aMilitary 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.
000098294 536__ $$9info:eu-repo/grantAgreement/ES/UZ/CUD2015-21
000098294 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000098294 592__ $$a0.516$$b2019
000098294 593__ $$aIndustrial and Manufacturing Engineering$$c2019$$dQ2
000098294 593__ $$aArtificial Intelligence$$c2019$$dQ2
000098294 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000098294 700__ $$0(orcid)0000-0002-3069-2736$$aTorralba, M.
000098294 700__ $$aPérez-Moya, R.
000098294 700__ $$aPozo, J.A.
000098294 7102_ $$15002$$2515$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Ing. Procesos Fabricación
000098294 773__ $$g41 (2019), 74-81$$tProcedia Manufacturing$$x2351-9789
000098294 8564_ $$s723565$$uhttps://zaguan.unizar.es/record/98294/files/texto_completo.pdf$$yVersión publicada
000098294 8564_ $$s2107765$$uhttps://zaguan.unizar.es/record/98294/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000098294 909CO $$ooai:zaguan.unizar.es:98294$$particulos$$pdriver
000098294 951__ $$a2023-09-21-13:31:03
000098294 980__ $$aARTICLE