Empirical study on learning curves in logistics management systems[Estudio empírico sobre curvas de aprendizaje en sistemas de gestión logística
Learning curves have been frequently applied in production/operations management and various logistics processes in many manufacturing and service organizations. However, studies on their integral use in the supply chain are recent. This paper contributes to filling this knowledge gap by measuring t...
- Autores:
-
Romero, Yalili Rodríguez
Castro, Roberto Cespón
Perilla, Nelson Javier Tovar
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2022
- Institución:
- Universidad de Ibagué
- Repositorio:
- Repositorio Universidad de Ibagué
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unibague.edu.co:20.500.12313/5558
- Acceso en línea:
- https://hdl.handle.net/20.500.12313/5558
https://www.scielo.cl/scielo.php?pid=S0718-33052022000400794&script=sci_arttext
- Palabra clave:
- Sistemas de gestión logística - Curvas de aprendizaje
Sistemas de gestión logística - Curvas de aprendizaje - Estudio empírico
Learning curve
Logistics management system
SCOR model
Supply chain
- Rights
- openAccess
- License
- © 2022, Universidad de Tarapaca. All rights reserved.
| id |
UNIBAGUE2_a3d0840cada31061389afeaba593d21c |
|---|---|
| oai_identifier_str |
oai:repositorio.unibague.edu.co:20.500.12313/5558 |
| network_acronym_str |
UNIBAGUE2 |
| network_name_str |
Repositorio Universidad de Ibagué |
| repository_id_str |
|
| dc.title.eng.fl_str_mv |
Empirical study on learning curves in logistics management systems[Estudio empírico sobre curvas de aprendizaje en sistemas de gestión logística |
| dc.title.translated.none.fl_str_mv |
Estudio empírico sobre curvas de aprendizaje en sistemas de gestión logística |
| title |
Empirical study on learning curves in logistics management systems[Estudio empírico sobre curvas de aprendizaje en sistemas de gestión logística |
| spellingShingle |
Empirical study on learning curves in logistics management systems[Estudio empírico sobre curvas de aprendizaje en sistemas de gestión logística Sistemas de gestión logística - Curvas de aprendizaje Sistemas de gestión logística - Curvas de aprendizaje - Estudio empírico Learning curve Logistics management system SCOR model Supply chain |
| title_short |
Empirical study on learning curves in logistics management systems[Estudio empírico sobre curvas de aprendizaje en sistemas de gestión logística |
| title_full |
Empirical study on learning curves in logistics management systems[Estudio empírico sobre curvas de aprendizaje en sistemas de gestión logística |
| title_fullStr |
Empirical study on learning curves in logistics management systems[Estudio empírico sobre curvas de aprendizaje en sistemas de gestión logística |
| title_full_unstemmed |
Empirical study on learning curves in logistics management systems[Estudio empírico sobre curvas de aprendizaje en sistemas de gestión logística |
| title_sort |
Empirical study on learning curves in logistics management systems[Estudio empírico sobre curvas de aprendizaje en sistemas de gestión logística |
| dc.creator.fl_str_mv |
Romero, Yalili Rodríguez Castro, Roberto Cespón Perilla, Nelson Javier Tovar |
| dc.contributor.author.none.fl_str_mv |
Romero, Yalili Rodríguez Castro, Roberto Cespón Perilla, Nelson Javier Tovar |
| dc.subject.armarc.none.fl_str_mv |
Sistemas de gestión logística - Curvas de aprendizaje Sistemas de gestión logística - Curvas de aprendizaje - Estudio empírico |
| topic |
Sistemas de gestión logística - Curvas de aprendizaje Sistemas de gestión logística - Curvas de aprendizaje - Estudio empírico Learning curve Logistics management system SCOR model Supply chain |
| dc.subject.proposal.eng.fl_str_mv |
Learning curve Logistics management system SCOR model Supply chain |
| description |
Learning curves have been frequently applied in production/operations management and various logistics processes in many manufacturing and service organizations. However, studies on their integral use in the supply chain are recent. This paper contributes to filling this knowledge gap by measuring the impact of learning on lead time in logistics management systems. The empirical study was used as a methodological tool to demonstrate this. The logarithmic-linear models, with their terminology and calculation equations, were applied to three case studies representatives of the logistics systems proposed by the Supply Chain Operations Reference (SCOR) model: make-to-order, make-to-stock, and engineer-to-order. As a result, the first two were adjusted to the Stanford model and the third to De Jong’s model. Their learning curve, mathematical equations, and a sensitivity analysis were determined. This approach demonstrated its relevance and difference compared to previous publications, which mainly analyze links or parts of the CS. |
| publishDate |
2022 |
| dc.date.issued.none.fl_str_mv |
2022-12 |
| dc.date.accessioned.none.fl_str_mv |
2025-08-29T14:03:39Z |
| dc.date.available.none.fl_str_mv |
2025-08-29T14:03:39Z |
| dc.type.none.fl_str_mv |
Artículo de revista |
| dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.coarversion.none.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.content.none.fl_str_mv |
Text |
| dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.version.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| format |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| status_str |
publishedVersion |
| dc.identifier.citation.none.fl_str_mv |
Romero, Y., Castro, R. y Perilla, N. (2022). Empirical study on learning curves in logistics management systems [Estudio empírico sobre curvas de aprendizaje en sistemas de gestión logística]. Ingeniare, 30(4), 794 - 802. DOI: 10.4067/S0718-33052022000400794 |
| dc.identifier.doi.none.fl_str_mv |
10.4067/S0718-33052022000400794 |
| dc.identifier.eissn.none.fl_str_mv |
07183305 |
| dc.identifier.issn.none.fl_str_mv |
07183291 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12313/5558 |
| dc.identifier.url.none.fl_str_mv |
https://www.scielo.cl/scielo.php?pid=S0718-33052022000400794&script=sci_arttext |
| identifier_str_mv |
Romero, Y., Castro, R. y Perilla, N. (2022). Empirical study on learning curves in logistics management systems [Estudio empírico sobre curvas de aprendizaje en sistemas de gestión logística]. Ingeniare, 30(4), 794 - 802. DOI: 10.4067/S0718-33052022000400794 10.4067/S0718-33052022000400794 07183305 07183291 |
| url |
https://hdl.handle.net/20.500.12313/5558 https://www.scielo.cl/scielo.php?pid=S0718-33052022000400794&script=sci_arttext |
| dc.language.iso.none.fl_str_mv |
spa |
| language |
spa |
| dc.relation.citationendpage.none.fl_str_mv |
802 |
| dc.relation.citationissue.none.fl_str_mv |
4 |
| dc.relation.citationstartpage.none.fl_str_mv |
794 |
| dc.relation.citationvolume.none.fl_str_mv |
30 |
| dc.relation.ispartofjournal.none.fl_str_mv |
Ingeniare |
| dc.relation.references.none.fl_str_mv |
R. Lipsey. “Hammarskjöld: a life”. University of Michigan Press, pp. 373-380. 2013. T.P. Wright. “Factors affecting the cost of airplanes”. Journal of aeronautical sciences. Vol. 3 Nº 4, pp. 122-128. 1936. DOI: 10.2514/8.155. A. Jarkas and M. Horner. “Revisiting the applicability of learning curve theory to formwork labour productivity. “Construction Management and Economics. Vol. 29 Issue 5, pp. 483-493. 2011. DOI: 10.1080/01446193.2011.562911 F. Lolli, M. Messori, R. Gamberini, B. Rimini and E. Balugani. “Modelling production cost with the effects of learning and forgetting”. IFAC-PapersOnLine. Vol. 49 Issue 12, pp. 503-508. 2016. DOI: 10.1016/j. ifacol.2016.07.672 H. Abedinnia, C.H. Glock, E.H. Grosse and M. Schneider. “Machine scheduling problems in production: A tertiary study”. Computers Industrial Engineering. Vol. 111, pp. 403-416. 2017. DOI: 10.1016/j.cie.2017.06.026. A. Azzouz, M. Ennigrou and L. Ben Said. “Scheduling problems under learning effects: classification and cartography”. International Journal of Production Research. Vol. 56 Issue 4, pp. 1642-1661. 2018. DOI: 10.1080/00207543.2017.1355576 C.H. Glock, E.H. Grosse and J.M. Ries. “The lot sizing problem: A tertiary study”. International Journal of Production Economics. Vol. 155, pp. 39-51. 2014. DOI: 10.1016/j.ijpe.2013.12.009. M. Jaber and M. Khan. “Managing yield by lot splitting in a serial production line with learning, rework and scrap”. International Journal of Production Economics. Vol. 124 Issue 1, pp. 32-39. 2010. DOI: 10.1016/j. ijpe.2009.09.004 P.-C. Pedersen and D. Slepniov. “Management of the learning curve: a case of overseas production capacity expansion”. International Journal of Operations & Production Management. Vol. 36 Nº 1, pp. 42-60. 2016. ISSN: 0144-3577. DOI: 10.1108/ IJOPM-08-2013-0365. C.H. Glock, E.H. Grosse, M.Y. Jaber and T.L. Smunt. “Applications of learning curves in production and operations management: A systematic literature review”. Computers & Industrial Engineering. Vol. 131, pp. 422- 441. 2019. DOI: 10.1016/j.cie.2018.10.030. K.E. Samuel, M.-L. Goury, A. Gunasekaran and A. Spalanzani. “Knowledge management in supply chain: An empirical study from France”. The Journal of Strategic Information Systems. Vol. 20 Issue 3, pp. 283-306. 2011. DOI: 10.1016/j.jsis.2010.11.001 B.B. Flynn, B. Huo and X. Zhao. “The impact of supply chain integration on performance: A contingency and configuration approach”. Journal of operations management. Vol. 28 Issue 1, pp. 58-71. 2010. ISSN: 0272-6963. DOI: 10.1016/j.jom.2009.06.001 G. Li, H. Yang, L. Sun and A.S. Sohal. “The impact of IT implementation on supply chain integration and performance”. International Journal of Production Economics. Vol. 120 Issue 1, pp. 125-138. 2009. DOI: 10.1016/j. ijpe.2008.07.017. E.D. Rosenzweig, A.V. Roth and J.W. Dean Jr. “The influence of an integration strategy on competitive capabilities and business performance: an exploratory study of consumer products manufacturers”. Journal of operations management. Vol. 21 Issue 4, pp. 437-456. 2003. DOI: 10.1016/S0272-6963(03)00037-8 M. Khan, M. Jaber and A. Guiffrida. “The effect of human factors on the performance of a two level supply chain”. International Journal of Production Research. Vol. 50 Issue 2, pp. 517-533. 2012. DOI: 10.1080/00207543.2010.539282. C.H. Glock, E.H. Grosse, M.Y. Jaber and T.L. Smunt. “Novel applications of learning curves in production planning and logistics”. Computers & Industrial Engineering. Vol. 131, pp. 419-421. 2019. DOI: 10.1016/j. cie.2019.03.030. H. Rafiei and M. Rabbani. “Order partitioning in hybrid MTS/MTO contexts using fuzzy ANP”. Engineering and Technology. Vol. 3, pp. 467-472. 2009. ISSN: 1307-6892. B. Ganji Jamehshooran, M. Shaharoun and H. Norehan Haron. “Assessing supply chain performance through applying the SCOR model”. International Journal of Supply Chain Management. Vol. 4 Nº 1. 2015. ISSN: 1935-5734. M.A. Sellitto, G.M. Pereira, M. Borchardt, R.I. da Silva and C.V. Viegas. “A SCORbased model for supply chain performance measurement: application in the footwear industry”. International Journal of Production Research. Vol. 53 Issue 16, pp. 4917-4926. 2015. DOI: 10.1080/00207543.2015.1005251 A. Moharamkhani, A. Bozorgi-Amiri and H. Mina. “Supply chain performance measurement using SCOR model based on interval-valued fuzzy TOPSIS”. International Journal of Logistics Systems Management. Vol. 27 Issue 1, pp. 115-132. 2017. ISSN: 1742-7967. B. Sundarakani, H. Abdul Razzak and S. Manikandan. “Creating a competitive advantage in the global flight catering supply chain: a case study using SCOR model”. International Journal of Logistics Research Applications. Vol. 21 Issue 5, pp. 481-501. 2018. DOI: 10.1080/13675567.2018.1448767. C.K. Dissanayake and J.A. Cross. “Systematic mechanism for identifying the relative impact of supply chain performance areas on the overall supply chain performance using SCOR model and SEM”. International Journal of Production Economics. Vol. 201, pp. 102- 115. 2018. DOI: 10.1016/j.ijpe.2018.04.027. N. Baloff. “Extension of the learning curve-some empirical results”. Journal of the Operational Research Society. Vol. 22 Issue 4, pp. 329-340. 1971. DOI: 10.1057/jors.1971.77. J. De Jong. “The effects of increasing skill on cycle time and its consequences for time standards”. Ergonomics. Vol. 1 Issue 1, pp. 51-60. 1957. DOI: 10.1080/001 40135708964571. D.A. Nembhard and M.V. Uzumeri. “Experiential learning and forgetting for manual and cognitive tasks”. International journal of industrial ergonomics. Vol. 25 Issue 4, pp. 315-326. 2000. DOI: 10.1016/ S0169-8141(99)00021-9. |
| dc.rights.eng.fl_str_mv |
© 2022, Universidad de Tarapaca. All rights reserved. |
| dc.rights.accessrights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.coar.none.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| dc.rights.license.none.fl_str_mv |
Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0) |
| dc.rights.uri.none.fl_str_mv |
https://creativecommons.org/licenses/by-nc/4.0/ |
| rights_invalid_str_mv |
© 2022, Universidad de Tarapaca. All rights reserved. http://purl.org/coar/access_right/c_abf2 Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.format.mimetype.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Universidad de Tarapaca |
| dc.publisher.place.none.fl_str_mv |
Chile |
| publisher.none.fl_str_mv |
Universidad de Tarapaca |
| dc.source.none.fl_str_mv |
https://www.scielo.cl/pdf/ingeniare/v30n4/0718-3305-ingeniare-30-04-794.pdf |
| institution |
Universidad de Ibagué |
| bitstream.url.fl_str_mv |
https://repositorio.unibague.edu.co/bitstreams/02cf1524-3985-49c0-a10e-2af0fb14520c/download https://repositorio.unibague.edu.co/bitstreams/79b4bbb3-3601-4547-9bff-712a50cba36b/download https://repositorio.unibague.edu.co/bitstreams/ceb53c23-c4fa-413f-a0ad-acaf466dee3e/download https://repositorio.unibague.edu.co/bitstreams/f437d7e4-f476-405e-9fc7-32c7f4f0edd4/download |
| bitstream.checksum.fl_str_mv |
157af37cd4fccd2a5f173e5a9ff7cb4c fde42e9e0f516ae94c16d30b6e330b81 2fa3e590786b9c0f3ceba1b9656b7ac3 0790b255d6905609b79cfb308136e9b2 |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio Institucional Universidad de Ibagué |
| repository.mail.fl_str_mv |
bdigital@metabiblioteca.com |
| _version_ |
1851059964126167040 |
| spelling |
Romero, Yalili Rodríguez83c0a6b6-cc19-47c8-8057-e24686944f2e-1Castro, Roberto Cespónbfb23449-fa70-4f97-bc08-052db4b3a115-1Perilla, Nelson Javier Tovarb45b4120-8f90-402d-859e-991468dd9093-12025-08-29T14:03:39Z2025-08-29T14:03:39Z2022-12Learning curves have been frequently applied in production/operations management and various logistics processes in many manufacturing and service organizations. However, studies on their integral use in the supply chain are recent. This paper contributes to filling this knowledge gap by measuring the impact of learning on lead time in logistics management systems. The empirical study was used as a methodological tool to demonstrate this. The logarithmic-linear models, with their terminology and calculation equations, were applied to three case studies representatives of the logistics systems proposed by the Supply Chain Operations Reference (SCOR) model: make-to-order, make-to-stock, and engineer-to-order. As a result, the first two were adjusted to the Stanford model and the third to De Jong’s model. Their learning curve, mathematical equations, and a sensitivity analysis were determined. This approach demonstrated its relevance and difference compared to previous publications, which mainly analyze links or parts of the CS.application/pdfRomero, Y., Castro, R. y Perilla, N. (2022). Empirical study on learning curves in logistics management systems [Estudio empírico sobre curvas de aprendizaje en sistemas de gestión logística]. Ingeniare, 30(4), 794 - 802. DOI: 10.4067/S0718-3305202200040079410.4067/S0718-330520220004007940718330507183291https://hdl.handle.net/20.500.12313/5558https://www.scielo.cl/scielo.php?pid=S0718-33052022000400794&script=sci_arttextspaUniversidad de TarapacaChile802479430IngeniareR. Lipsey. “Hammarskjöld: a life”. University of Michigan Press, pp. 373-380. 2013.T.P. Wright. “Factors affecting the cost of airplanes”. Journal of aeronautical sciences. Vol. 3 Nº 4, pp. 122-128. 1936. DOI: 10.2514/8.155.A. Jarkas and M. Horner. “Revisiting the applicability of learning curve theory to formwork labour productivity. “Construction Management and Economics. Vol. 29 Issue 5, pp. 483-493. 2011. DOI: 10.1080/01446193.2011.562911F. Lolli, M. Messori, R. Gamberini, B. Rimini and E. Balugani. “Modelling production cost with the effects of learning and forgetting”. IFAC-PapersOnLine. Vol. 49 Issue 12, pp. 503-508. 2016. DOI: 10.1016/j. ifacol.2016.07.672H. Abedinnia, C.H. Glock, E.H. Grosse and M. Schneider. “Machine scheduling problems in production: A tertiary study”. Computers Industrial Engineering. Vol. 111, pp. 403-416. 2017. DOI: 10.1016/j.cie.2017.06.026.A. Azzouz, M. Ennigrou and L. Ben Said. “Scheduling problems under learning effects: classification and cartography”. International Journal of Production Research. Vol. 56 Issue 4, pp. 1642-1661. 2018. DOI: 10.1080/00207543.2017.1355576C.H. Glock, E.H. Grosse and J.M. Ries. “The lot sizing problem: A tertiary study”. International Journal of Production Economics. Vol. 155, pp. 39-51. 2014. DOI: 10.1016/j.ijpe.2013.12.009.M. Jaber and M. Khan. “Managing yield by lot splitting in a serial production line with learning, rework and scrap”. International Journal of Production Economics. Vol. 124 Issue 1, pp. 32-39. 2010. DOI: 10.1016/j. ijpe.2009.09.004P.-C. Pedersen and D. Slepniov. “Management of the learning curve: a case of overseas production capacity expansion”. International Journal of Operations & Production Management. Vol. 36 Nº 1, pp. 42-60. 2016. ISSN: 0144-3577. DOI: 10.1108/ IJOPM-08-2013-0365.C.H. Glock, E.H. Grosse, M.Y. Jaber and T.L. Smunt. “Applications of learning curves in production and operations management: A systematic literature review”. Computers & Industrial Engineering. Vol. 131, pp. 422- 441. 2019. DOI: 10.1016/j.cie.2018.10.030.K.E. Samuel, M.-L. Goury, A. Gunasekaran and A. Spalanzani. “Knowledge management in supply chain: An empirical study from France”. The Journal of Strategic Information Systems. Vol. 20 Issue 3, pp. 283-306. 2011. DOI: 10.1016/j.jsis.2010.11.001B.B. Flynn, B. Huo and X. Zhao. “The impact of supply chain integration on performance: A contingency and configuration approach”. Journal of operations management. Vol. 28 Issue 1, pp. 58-71. 2010. ISSN: 0272-6963. DOI: 10.1016/j.jom.2009.06.001G. Li, H. Yang, L. Sun and A.S. Sohal. “The impact of IT implementation on supply chain integration and performance”. International Journal of Production Economics. Vol. 120 Issue 1, pp. 125-138. 2009. DOI: 10.1016/j. ijpe.2008.07.017.E.D. Rosenzweig, A.V. Roth and J.W. Dean Jr. “The influence of an integration strategy on competitive capabilities and business performance: an exploratory study of consumer products manufacturers”. Journal of operations management. Vol. 21 Issue 4, pp. 437-456. 2003. DOI: 10.1016/S0272-6963(03)00037-8M. Khan, M. Jaber and A. Guiffrida. “The effect of human factors on the performance of a two level supply chain”. International Journal of Production Research. Vol. 50 Issue 2, pp. 517-533. 2012. DOI: 10.1080/00207543.2010.539282.C.H. Glock, E.H. Grosse, M.Y. Jaber and T.L. Smunt. “Novel applications of learning curves in production planning and logistics”. Computers & Industrial Engineering. Vol. 131, pp. 419-421. 2019. DOI: 10.1016/j. cie.2019.03.030.H. Rafiei and M. Rabbani. “Order partitioning in hybrid MTS/MTO contexts using fuzzy ANP”. Engineering and Technology. Vol. 3, pp. 467-472. 2009. ISSN: 1307-6892.B. Ganji Jamehshooran, M. Shaharoun and H. Norehan Haron. “Assessing supply chain performance through applying the SCOR model”. International Journal of Supply Chain Management. Vol. 4 Nº 1. 2015. ISSN: 1935-5734.M.A. Sellitto, G.M. Pereira, M. Borchardt, R.I. da Silva and C.V. Viegas. “A SCORbased model for supply chain performance measurement: application in the footwear industry”. International Journal of Production Research. Vol. 53 Issue 16, pp. 4917-4926. 2015. DOI: 10.1080/00207543.2015.1005251A. Moharamkhani, A. Bozorgi-Amiri and H. Mina. “Supply chain performance measurement using SCOR model based on interval-valued fuzzy TOPSIS”. International Journal of Logistics Systems Management. Vol. 27 Issue 1, pp. 115-132. 2017. ISSN: 1742-7967.B. Sundarakani, H. Abdul Razzak and S. Manikandan. “Creating a competitive advantage in the global flight catering supply chain: a case study using SCOR model”. International Journal of Logistics Research Applications. Vol. 21 Issue 5, pp. 481-501. 2018. DOI: 10.1080/13675567.2018.1448767.C.K. Dissanayake and J.A. Cross. “Systematic mechanism for identifying the relative impact of supply chain performance areas on the overall supply chain performance using SCOR model and SEM”. International Journal of Production Economics. Vol. 201, pp. 102- 115. 2018. DOI: 10.1016/j.ijpe.2018.04.027.N. Baloff. “Extension of the learning curve-some empirical results”. Journal of the Operational Research Society. Vol. 22 Issue 4, pp. 329-340. 1971. DOI: 10.1057/jors.1971.77.J. De Jong. “The effects of increasing skill on cycle time and its consequences for time standards”. Ergonomics. Vol. 1 Issue 1, pp. 51-60. 1957. DOI: 10.1080/001 40135708964571.D.A. Nembhard and M.V. Uzumeri. “Experiential learning and forgetting for manual and cognitive tasks”. International journal of industrial ergonomics. Vol. 25 Issue 4, pp. 315-326. 2000. DOI: 10.1016/ S0169-8141(99)00021-9.© 2022, Universidad de Tarapaca. All rights reserved.info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/https://www.scielo.cl/pdf/ingeniare/v30n4/0718-3305-ingeniare-30-04-794.pdfSistemas de gestión logística - Curvas de aprendizajeSistemas de gestión logística - Curvas de aprendizaje - Estudio empíricoLearning curveLogistics management systemSCOR modelSupply chainEmpirical study on learning curves in logistics management systems[Estudio empírico sobre curvas de aprendizaje en sistemas de gestión logísticaEstudio empírico sobre curvas de aprendizaje en sistemas de gestión logísticaArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPublicationTEXTArtículo.pdf.txtArtículo.pdf.txtExtracted texttext/plain3422https://repositorio.unibague.edu.co/bitstreams/02cf1524-3985-49c0-a10e-2af0fb14520c/download157af37cd4fccd2a5f173e5a9ff7cb4cMD53THUMBNAILArtículo.pdf.jpgArtículo.pdf.jpgIM Thumbnailimage/jpeg22232https://repositorio.unibague.edu.co/bitstreams/79b4bbb3-3601-4547-9bff-712a50cba36b/downloadfde42e9e0f516ae94c16d30b6e330b81MD54LICENSElicense.txtlicense.txttext/plain; charset=utf-8134https://repositorio.unibague.edu.co/bitstreams/ceb53c23-c4fa-413f-a0ad-acaf466dee3e/download2fa3e590786b9c0f3ceba1b9656b7ac3MD51ORIGINALArtículo.pdfArtículo.pdfapplication/pdf35414https://repositorio.unibague.edu.co/bitstreams/f437d7e4-f476-405e-9fc7-32c7f4f0edd4/download0790b255d6905609b79cfb308136e9b2MD5220.500.12313/5558oai:repositorio.unibague.edu.co:20.500.12313/55582025-09-12 12:20:17.492https://creativecommons.org/licenses/by-nc/4.0/© 2022, Universidad de Tarapaca. All rights reserved.https://repositorio.unibague.edu.coRepositorio Institucional Universidad de Ibaguébdigital@metabiblioteca.comQ3JlYXRpdmUgQ29tbW9ucyBBdHRyaWJ1dGlvbi1Ob25Db21tZXJjaWFsLU5vRGVyaXZhdGl2ZXMgNC4wIEludGVybmF0aW9uYWwgTGljZW5zZQ0KaHR0cHM6Ly9jcmVhdGl2ZWNvbW1vbnMub3JnL2xpY2Vuc2VzL2J5LW5jLW5kLzQuMC8= |