A mathematical model for the optimization of e-commerce logistics operations in the face of the spread of COVID-19

In this work, it was carry out a new model of attention to product orders in e-commerce operations in a pandemic situation. The model was evaluated in situations that require capacity and flexibility for companies when the forecast presents a high level of uncertainty. A two-echelon multi-period MIP...

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Autores:
Garcia-Perez, Andres
Millan, Maria Alejandra
Lobo, Cindy Marcela
Tipo de recurso:
Fecha de publicación:
2021
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/12098
Acceso en línea:
https://hdl.handle.net/20.500.12585/12098
Palabra clave:
Information Retrieval;
AS/RS; Warehouses
LEMB
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.spa.fl_str_mv A mathematical model for the optimization of e-commerce logistics operations in the face of the spread of COVID-19
title A mathematical model for the optimization of e-commerce logistics operations in the face of the spread of COVID-19
spellingShingle A mathematical model for the optimization of e-commerce logistics operations in the face of the spread of COVID-19
Information Retrieval;
AS/RS; Warehouses
LEMB
title_short A mathematical model for the optimization of e-commerce logistics operations in the face of the spread of COVID-19
title_full A mathematical model for the optimization of e-commerce logistics operations in the face of the spread of COVID-19
title_fullStr A mathematical model for the optimization of e-commerce logistics operations in the face of the spread of COVID-19
title_full_unstemmed A mathematical model for the optimization of e-commerce logistics operations in the face of the spread of COVID-19
title_sort A mathematical model for the optimization of e-commerce logistics operations in the face of the spread of COVID-19
dc.creator.fl_str_mv Garcia-Perez, Andres
Millan, Maria Alejandra
Lobo, Cindy Marcela
dc.contributor.author.none.fl_str_mv Garcia-Perez, Andres
Millan, Maria Alejandra
Lobo, Cindy Marcela
dc.subject.keywords.spa.fl_str_mv Information Retrieval;
AS/RS; Warehouses
topic Information Retrieval;
AS/RS; Warehouses
LEMB
dc.subject.armarc.none.fl_str_mv LEMB
description In this work, it was carry out a new model of attention to product orders in e-commerce operations in a pandemic situation. The model was evaluated in situations that require capacity and flexibility for companies when the forecast presents a high level of uncertainty. A two-echelon multi-period MIP model was used. It was shown from a case example the model's behavior in stressful situations, which represent a pandemic moment or high demand, and a case in which companies can use the model for decision-making when demand is lower or stable. It is proposed to use a productivity factor and extra hours to decide to hire permanent or temporary employees to take the best strategies in its logistics operations. The results show the usability of the model for decisions and the flexibility obtained for better productivity in e-commerce operations. © 2021 IEEE.
publishDate 2021
dc.date.issued.none.fl_str_mv 2021
dc.date.accessioned.none.fl_str_mv 2023-07-14T13:48:54Z
dc.date.available.none.fl_str_mv 2023-07-14T13:48:54Z
dc.date.submitted.none.fl_str_mv 2023
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dc.identifier.citation.spa.fl_str_mv A. García-Pérez, M. A. Millán and C. M. Lobo, "A mathematical model for the optimization of e-commerce logistics operations in the face of the spread of COVID-19," 2021 Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI), Bogotá, Colombia, 2021, pp. 1-6, doi: 10.1109/CONIITI53815.2021.9619625.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/12098
dc.identifier.instname.spa.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.spa.fl_str_mv Repositorio Universidad Tecnológica de Bolívar
identifier_str_mv A. García-Pérez, M. A. Millán and C. M. Lobo, "A mathematical model for the optimization of e-commerce logistics operations in the face of the spread of COVID-19," 2021 Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI), Bogotá, Colombia, 2021, pp. 1-6, doi: 10.1109/CONIITI53815.2021.9619625.
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
url https://hdl.handle.net/20.500.12585/12098
dc.language.iso.spa.fl_str_mv eng
language eng
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dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.cc.*.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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eu_rights_str_mv openAccess
dc.format.extent.none.fl_str_mv 6 páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.place.spa.fl_str_mv Cartagena de Indias
dc.source.spa.fl_str_mv 2021 Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI)
institution Universidad Tecnológica de Bolívar
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spelling Garcia-Perez, Andres55054dd4-a6c1-4127-bfce-04094f8e0049Millan, Maria Alejandraf6e9b055-bf3d-41c4-b9e1-f9999ab7cb21Lobo, Cindy Marcela6545d347-a88d-4856-8e44-73faa9e1a3922023-07-14T13:48:54Z2023-07-14T13:48:54Z20212023A. García-Pérez, M. A. Millán and C. M. Lobo, "A mathematical model for the optimization of e-commerce logistics operations in the face of the spread of COVID-19," 2021 Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI), Bogotá, Colombia, 2021, pp. 1-6, doi: 10.1109/CONIITI53815.2021.9619625.https://hdl.handle.net/20.500.12585/12098Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarIn this work, it was carry out a new model of attention to product orders in e-commerce operations in a pandemic situation. The model was evaluated in situations that require capacity and flexibility for companies when the forecast presents a high level of uncertainty. A two-echelon multi-period MIP model was used. It was shown from a case example the model's behavior in stressful situations, which represent a pandemic moment or high demand, and a case in which companies can use the model for decision-making when demand is lower or stable. It is proposed to use a productivity factor and extra hours to decide to hire permanent or temporary employees to take the best strategies in its logistics operations. The results show the usability of the model for decisions and the flexibility obtained for better productivity in e-commerce operations. © 2021 IEEE.6 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 InternacionalAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf22021 Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI)A mathematical model for the optimization of e-commerce logistics operations in the face of the spread of COVID-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Information Retrieval;AS/RS; WarehousesLEMBCartagena de IndiasThe new normal (2020) The Economist December https://www.economist.com/the-world-in-2021JMarino, G., Zotteri, G., Montagna, F. Consumer sensitivity to delivery lead time: a furniture retail case (2018) International Journal of Physical Distribution and Logistics Management, 48 (6), pp. 610-629. Cited 27 times. http://www.emeraldinsight.com/info/journals/ijpdlm/ijpdlm.jsp doi: 10.1108/IJPDLM-01-2017-0030Kovac, M., Djurdjevic, D. Optimization of order-picking systems through tactical and operational decision making (Open Access) (2020) International Journal of Simulation Modelling, 19 (1), pp. 89-99. Cited 10 times. http://www.ijsimm.com/ doi: 10.2507/IJSIMM19-1-505Boysen, N., Stephan, K., Weidinger, F. Manual order consolidation with put walls: the batched order bin sequencing problem (Open Access) (2019) EURO Journal on Transportation and Logistics, 8 (2), pp. 169-193. Cited 24 times. http://link.springer.com/journal/13676 doi: 10.1007/s13676-018-0116-0Configurabilidad Del Sistema Put Wall, Ultima Ge-neracion [Fotografia] Honeywell Intelligrated. (s. f.) https://www.intelligrated.com/es/solutions/technology/put-wall-orderconsolidation/next-generation-put-wall-configurabilityArdjmand, E., Youssef, E.M., Moyer, A., Young, W.A., Weckman, G.R., Shakeri, H. A multi-objective model for minimising makespan and total travel time in put wall-based picking systems (Open Access) (2020) International Journal of Logistics Systems and Management, 36 (1), pp. 138-176. Cited 2 times. http://www.inderscience.com/ijlsm doi: 10.1504/IJLSM.2020.107230Wang, T., Singh, M., Süer, G. Evaluation of alternative labor levels to minimize average flowtime at distribution centers (Open Access) (2019) Procedia Manufacturing, 39, pp. 1482-1492. http://www.journals.elsevier.com/procedia-manufacturing doi: 10.1016/j.promfg.2020.01.300Ardjmand, E., Sanei Bajgiran, O., Youssef, E. Using list-based simulated annealing and genetic algorithm for order batching and picker routing in put wall based picking systems (Open Access) (2019) Applied Soft Computing Journal, 75, pp. 106-119. Cited 36 times. http://www.elsevier.com/wps/find/journaldescription.cws_home/621920/description#description doi: 10.1016/j.asoc.2018.11.019Grosse, E.H., Glock, C.H., Neumann, W.P. Human factors in order picking system design: A content analysis (2015) IFAC-PapersOnLine, 28 (3), pp. 320-325. Cited 24 times. http://www.journals.elsevier.com/ifac-papersonline/ doi: 10.1016/j.ifacol.2015.06.101Bahrami, B., Aghezzaf, E.-H., Limere, V. Using Simulation to Improve Performance of a Real World Distribution Center (2016) IFAC-PapersOnLine, 49 (12), pp. 1874-1879. http://www.journals.elsevier.com/ifac-papersonline/ doi: 10.1016/j.ifacol.2016.07.856Grosse, E.H., Glock, C.H., Jaber, M.Y. The effect of worker learning and forgetting on storage reassignment decisions in order picking systems (2013) Computers and Industrial Engineering, 66 (4), pp. 653-662. Cited 86 times. doi: 10.1016/j.cie.2013.09.013Grosse, E.H., Glock, C.H. The effect of worker learning on manual order picking processes (2015) International Journal of Production Economics, Part C 170, pp. 882-890. Cited 86 times. doi: 10.1016/j.ijpe.2014.12.018Loske, D., Klumpp, M. Smart and efficient: Learning curves in manual and human-robot order picking systems (2020) IFAC-PapersOnLine, 53, pp. 10255-10260. 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