000095878 001__ 95878
000095878 005__ 20210902121648.0
000095878 0247_ $$2doi$$a10.3390/app10010106
000095878 0248_ $$2sideral$$a116778
000095878 037__ $$aART-2020-116778
000095878 041__ $$aeng
000095878 100__ $$0(orcid)0000-0002-4917-8550$$aAcero, R.$$uUniversidad de Zaragoza
000095878 245__ $$aValue stream analysis in military logistics: The improvement in order processing procedure
000095878 260__ $$c2020
000095878 5060_ $$aAccess copy available to the general public$$fUnrestricted
000095878 5203_ $$aMilitary 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.
000095878 536__ $$9info:eu-repo/grantAgreement/ES/DGA/Research Groups-European Social Found$$9info:eu-repo/grantAgreement/ES/UZ/CUD2015-21
000095878 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000095878 590__ $$a2.679$$b2020
000095878 591__ $$aPHYSICS, APPLIED$$b73 / 160 = 0.456$$c2020$$dQ2$$eT2
000095878 591__ $$aENGINEERING, MULTIDISCIPLINARY$$b38 / 91 = 0.418$$c2020$$dQ2$$eT2
000095878 591__ $$aCHEMISTRY, MULTIDISCIPLINARY$$b101 / 178 = 0.567$$c2020$$dQ3$$eT2
000095878 591__ $$aMATERIALS SCIENCE, MULTIDISCIPLINARY$$b201 / 333 = 0.604$$c2020$$dQ3$$eT2
000095878 592__ $$a0.435$$b2020
000095878 593__ $$aComputer Science Applications$$c2020$$dQ2
000095878 593__ $$aEngineering (miscellaneous)$$c2020$$dQ2
000095878 593__ $$aProcess Chemistry and Technology$$c2020$$dQ2
000095878 593__ $$aInstrumentation$$c2020$$dQ2
000095878 593__ $$aMaterials Science (miscellaneous)$$c2020$$dQ2
000095878 593__ $$aFluid Flow and Transfer Processes$$c2020$$dQ2
000095878 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000095878 700__ $$0(orcid)0000-0002-3069-2736$$aTorralba, M.
000095878 700__ $$aPérez-Moya, R.
000095878 700__ $$aPozo, J. A.
000095878 7102_ $$15002$$2515$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Ing. Procesos Fabricación
000095878 773__ $$g10, 1 (2020), 106 [17 pp]$$pAppl. sci.$$tAPPLIED SCIENCES-BASEL$$x2076-3417
000095878 8564_ $$s614128$$uhttps://zaguan.unizar.es/record/95878/files/texto_completo.pdf$$yVersión publicada
000095878 8564_ $$s519167$$uhttps://zaguan.unizar.es/record/95878/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000095878 909CO $$ooai:zaguan.unizar.es:95878$$particulos$$pdriver
000095878 951__ $$a2021-09-02-09:05:05
000095878 980__ $$aARTICLE