Comprensión del papel de las tecnologías de la información y digitales de la industria 4.0 en la logística de última milla: estado actual y futuras líneas de investigación

Autores/as

DOI:

https://doi.org/10.17561/ree.n1.2025.9128

Palabras clave:

Tecnologías de la información y comunicación, Industria 4.0, Logística

Resumen

Este trabajo tiene como objetivo ofrecer una visión general del estado actual de la literatura que vincula las Tecnologías de la Información y Digitales de la Industria 4.0 (TID de I4.0) con la logística de última milla. Se utilizó una revisión sistemática de la literatura (RSL) para identificar, seleccionar y evaluar artículos que abarcan el período desde 2001 hasta 2022, inclusive. Debido al gran número de artículos identificados, se priorizaron criterios de inclusión que seleccionaron aquellos reconocidos entre las revistas de mayor calificación según la clasificación AJG (ABS), resultando en 97 artículos. El trabajo proporciona una clasificación novedosa de la literatura en tres líneas de investigación: (1) TID maduras en la logística de última milla, (2) TID emergentes en la logística de última milla, y (3) Enfoque general en la logística de última milla. El estudio identifica y propone futuras líneas de investigación para abordar las lagunas existentes.

Descargas

Los datos de descarga aún no están disponibles.

Referencias

Agnusdei, G. P., Gnoni, M. G., Sgarbossa, F., & Govindann, K. (2022). Challenges and perspectives of the Industry 4.0 technologies within the last-mile and first-mile reverse logistics: A systematic literature review. Research in Transportation Business & Management, 45, 100896. https://doi.org/10.1016/j.rtbm.2022.100896

Ahmad, N., & Mehmood, R. (2016). Enterprise systems and performance of future city logistics. Production Planning & Control, 27(6), 500–513. https://doi.org/10.1080/09537287.2016.1147098

Allen, J., Piecyk, M., Piotrowska, M., McLeod, F., Cherrett, T., Ghali, K., Nguyen, T., Bektas, T., Bates, O., Friday, A., Wise, S., & Austwick, M. (2018). Understanding the impact of e-commerce on last-mile light goods vehicle activity in urban areas: The case of London. Transportation Research Part D: Transport and Environment, 61, 325–338. https://doi.org/10.1016/j.trd.2017.07.020

Ambra, T., Caris, A., & Macharis, C. (2021). Do You See What I See? A Simulation Analysis of Order Bundling within a Transparent User Network in Geographic Space. Journal of Business Logistics, 42(1), 167–190. https://doi.org/10.1111/jbl.12237

Borgström, B., Hertz, S., & Jensen, L. M. (2021). Strategic development of third-party logistics providers (TPLs): “Going under the floor” or “raising the roof”? Industrial Marketing Management, 97, 183–192. https://doi.org/10.1016/j.indmarman.2021.07.008

Boysen, N., Fedtke, S., & Schwerdfeger, S. (2021). Last-mile delivery concepts: a survey from an operational research perspective. OR Spectrum, 43(1), 1–58. https://doi.org/10.1007/s00291-020-00607-8

Chartered Association of Business Schools, C. (2021). Academic Journal Guide. https://charteredabs.org/academic-journal-guide/academic-journal-guide-2021

Chen, L., Chen, Y., & Langevin, A. (2021). An inverse optimization approach for a capacitated vehicle routing problem. European Journal of Operational Research, 295(3), 1087–1098. https://doi.org/10.1016/j.ejor.2021.03.031

Chen, C., Demir, E., Huang, Y., & Qiu, R. (2021). The adoption of self-driving delivery robots in last mile logistics. Transportation Research Part E: Logistics and Transportation Review, 146, 102214. https://doi.org/10.1016/j.tre.2020.102214

Chen, R., Meng, Q., & Jia, P. (2022). Container port drayage operations and management: Past and future. Transportation Research Part E: Logistics and Transportation Review, 159, 102633. https://doi.org/10.1016/j.tre.2022.102633

Danese, P., Manfè, V., & Romano, P. (2018). A Systematic Literature Review on Recent Lean Research: State-of-the-art and Future Directions. International Journal of Management Reviews, 20(2), 579–605. https://doi.org/10.1111/ijmr.12156

de Mello Bandeira, R. A., Goes, G. V., Schmitz Gonçalves, D. N., D’Agosto, M. de A., & Oliveira, C. M. de. (2019). Electric vehicles in the last mile of urban freight transportation: A sustainability assessment of postal deliveries in Rio de Janeiro-Brazil. Transportation Research Part D: Transport and Environment, 67, 491–502. https://doi.org/10.1016/j.trd.2018.12.017

Deng, Q., Fang, X., & Lim, Y. F. (2021). Urban Consolidation Center or Peer-to-Peer Platform? The Solution to Urban Last-Mile Delivery. Production and Operations Management, 30(4), 997–1013. https://doi.org/10.1111/poms.13289

Denyer, D., & Tranfield, D. (2009). Producing a Systematic Review. In D. Buchanan & A. Bryman (Eds.), The Sage Handbook of Organizational Research Methods (pp. 671–689). Sage Publications.

Figliozzi, M. A. (2020). Carbon emissions reductions in last mile and grocery deliveries utilizing air and ground autonomous vehicles. Transportation Research Part D: Transport and Environment, 85, 102443. https://doi.org/10.1016/j.trd.2020.102443

Garcia-Buendia, N., Moyano-Fuentes, J., & Maqueira-Marín, J. M. (2021). Lean supply chain management and performance relationships: what has been done and what is left to do. CIRP Journal of Manufacturing Science and Technology, 32, 405–423. https://doi.org/10.1016/j.cirpj.2021.01.016

Gartner. (2016). Gartner Hype Cycle: Interpreting Technology Hype. https://www.gartner.com/en/research/methodologies/gartner-hype-cycle

Gee, I. M., Heard, B. R., Webber, M. E., & Miller, S. A. (2020). The Future of Food: Environmental Lessons from E-Commerce. Environmental Science & Technology, 54(23), 14776–14784. https://doi.org/10.1021/acs.est.0c01731

George, T., & Morin, S. (2001). The Last-Mile Problem in the Information Highway: Improving the Reach of Farmers in Developing Countries. Proceedings of the World Congress of Computers in Agriculture and Natural Resources, 779–785. https://doi.org/10.13031/2013.8411

Gevaers, R., Van de Voorde, E., & Vanelslander, T. (2009). Characteristics of Innovations in Last Mile Logistics - Using Best Practices, Case Studies and Making the Link with Green and Sustainable Logistics. Association for European Transport and Contributors, October, 1–8. https://aetransport.org/public/downloads/01GkD/3849-514ec5c8ca43b.pdf

Ghobakhloo, M. (2018). The future of manufacturing industry: a strategic roadmap toward Industry 4.0. Journal of Manufacturing Technology Management, 29(6), 910–936. https://doi.org/10.1108/JMTM-02-2018-0057

Ghobakhloo, M. (2020). Determinants of information and digital technology implementation for smart manufacturing. International Journal of Production Research, 58(8), 2384–2405. https://doi.org/10.1080/00207543.2019.1630775

Gilchrist, A. (2016). INDUSTRY 4.0: THE INDUSTRIAL INTERNET OF THINGS. In Industry 4.0: The Industrial Internet of Things. Apress. https://doi.org/10.1007/978-1-4842-2047-4

Giménez-Palacios, I., Parreño, F., Álvarez-Valdés, R., Paquay, C., Oliveira, B. B., Carravilla, M. A., & Oliveira, J. F. (2022). First-mile logistics parcel pickup: Vehicle routing with packing constraints under disruption. Transportation Research Part E: Logistics and Transportation Review, 164, 102812. https://doi.org/10.1016/j.tre.2022.102812

Janjevic, M., Winkenbach, M., & Merchán, D. (2019). Integrating collection-and-delivery points in the strategic design of urban last-mile e-commerce distribution networks. Transportation Research Part E: Logistics and Transportation Review, 131, 37–67. https://doi.org/10.1016/j.tre.2019.09.001

Jiang, M., & Huang, G. Q. (2022). Intralogistics synchronization in robotic forward-reserve warehouses for e-commerce last-mile delivery. Transportation Research Part E: Logistics and Transportation Review, 158, 102619. https://doi.org/10.1016/j.tre.2022.102619

Kim, H. S., & Sohn, S. Y. (2009). Cost of ownership model for the RFID logistics system applicable to u-city. European Journal of Operational Research, 194(2), 406–417. https://doi.org/10.1016/j.ejor.2007.12.015

Koshta, N., Devi, Y., & Chauhan, C. (2022). Evaluating Barriers to the Adoption of Delivery Drones in Rural Healthcare Supply Chains: Preparing the Healthcare System for the Future. IEEE Transactions on Engineering Management, 1–13. https://doi.org/10.1109/TEM.2022.3210121

Kull, T. J., Boyer, K., & Calantone, R. (2007). Last-mile supply chain efficiency: An analysis of learning curves in online ordering. International Journal of Operations and Production Management, 27(4), 409–434. https://doi.org/10.1108/01443570710736985

Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business and Information Systems Engineering, 6(4), 239–242. https://doi.org/10.1007/s12599-014-0334-4

Lemardelé, C., Estrada, M., Pagès, L., & Bachofner, M. (2021). Potentialities of drones and ground autonomous delivery devices for last-mile logistics. Transportation Research Part E: Logistics and Transportation Review, 149, 102325. https://doi.org/10.1016/j.tre.2021.102325

Leung, E. K. H., Lee, C. K. H., & Ouyang, Z. (2022). From traditional warehouses to Physical Internet hubs: A digital twin-based inbound synchronization framework for PI-order management. International Journal of Production Economics, 244, 108353. https://doi.org/10.1016/j.ijpe.2021.108353

Leung, E. K. H., Ouyang, Z., & Huang, G. Q. (2023). Community logistics: a dynamic strategy for facilitating immediate parcel delivery to smart lockers. International Journal of Production Research, 61(9), 2937–2962. https://doi.org/10.1080/00207543.2022.2073480

Li, L., He, X., Keoleian, G. A., Kim, H. C., De Kleine, R., Wallington, T. J., & Kemp, N. J. (2021). Life Cycle Greenhouse Gas Emissions for Last-Mile Parcel Delivery by Automated Vehicles and Robots. Environmental Science and Technology, 55(16), 11360–11367. https://doi.org/10.1021/acs.est.0c08213

Lim, S. F. W. T., Jin, X., & Srai, J. S. (2018). Consumer-driven e-commerce. International Journal of Physical Distribution & Logistics Management, 48(3), 308–332. https://doi.org/10.1108/IJPDLM-02-2017-0081

Lim, S. F. W. T., & Srai, J. S. (2018). Examining the anatomy of last-mile distribution in e-commerce omnichannel retailing: A supply network configuration approach. International Journal of Operations and Production Management, 38(9), 1735–1764. https://doi.org/10.1108/IJOPM-12-2016-0733

Lin, Y., Wang, Y., Lee, L. H., & Chew, E. P. (2022). Profit-maximizing parcel locker location problem under threshold Luce model. Transportation Research Part E: Logistics and Transportation Review, 157, 102541. https://doi.org/10.1016/j.tre.2021.102541

Mashalah, H. Al, Hassini, E., Gunasekaran, A., & Bhatt (Mishra), D. (2022). The impact of digital transformation on supply chains through e-commerce: Literature review and a conceptual framework. Transportation Research Part E: Logistics and Transportation Review, 165, 102837. https://doi.org/10.1016/j.tre.2022.102837

Melkonyan, A., Gruchmann, T., Lohmar, F., Kamath, V., & Spinler, S. (2020). Sustainability assessment of last-mile logistics and distribution strategies: The case of local food networks. International Journal of Production Economics, 228, 107746. https://doi.org/10.1016/j.ijpe.2020.107746

Muñoz-Villamizar, A., Velázquez-Martínez, J. C., Haro, P., Ferrer, A., & Mariño, R. (2021). The environmental impact of fast shipping ecommerce in inbound logistics operations: A case study in Mexico. Journal of Cleaner Production, 283, 125400. https://doi.org/10.1016/j.jclepro.2020.125400

Nagendra, N. P., Narayanamurthy, G., & Moser, R. (2022). Management of humanitarian relief operations using satellite big data analytics: the case of Kerala floods. Annals of Operations Research, 319(1), 885–910. https://doi.org/10.1007/s10479-020-03593-w

Núñez-Merino, M., Maqueira-Marín, J. M., Moyano-Fuentes, J., & Castaño-Moraga, C. A. (2024). Quantum-inspired computing technology in operations and logistics management. International Journal of Physical Distribution & Logistics Management, 54(3), 247–274. https://doi.org/10.1108/IJPDLM-02-2023-0065

Núñez-Merino, M., Maqueira-Marín, J. M., Moyano-Fuentes, J., & Martínez-Jurado, P. J. (2020). Information and digital technologies of Industry 4.0 and Lean supply chain management: a systematic literature review. International Journal of Production Research, 58(16), 5034–5061. https://doi.org/10.1080/00207543.2020.1743896

Oliveira-Dias, D., Maqueira-Marín, J. M., & Moyano-Fuentes, J. (2022). The link between information and digital technologies of industry 4.0 and agile supply chain: Mapping current research and establishing new research avenues. Computers & Industrial Engineering, 167, 108000. https://doi.org/10.1016/j.cie.2022.108000

Oliveira-Dias, D. de, Maqueira Marín, J. M., & Moyano-Fuentes, J. (2022). Lean and agile supply chain strategies: the role of mature and emerging information technologies. The International Journal of Logistics Management, 33(5), 221–243. https://doi.org/10.1108/IJLM-05-2022-0235

Onal, S., Zhang, J., & Das, S. (2018). Product flows and decision models in Internet fulfillment warehouses. Production Planning and Control, 29(10), 791–801. https://doi.org/10.1080/09537287.2018.1469800

Ouyang, Z., Leung, E. K. H., & Huang, G. Q. (2022). Community logistics for dynamic vehicle dispatching: The effects of community departure “time” and “space.” Transportation Research Part E: Logistics and Transportation Review, 165, 102842. https://doi.org/10.1016/j.tre.2022.102842

Özarık, S. S., Veelenturf, L. P., Woensel, T. Van, & Laporte, G. (2021). Optimizing e-commerce last-mile vehicle routing and scheduling under uncertain customer presence. Transportation Research Part E: Logistics and Transportation Review, 148, 102263. https://doi.org/10.1016/j.tre.2021.102263

Pahwa, A., & Jaller, M. (2022). A cost-based comparative analysis of different last-mile strategies for e-commerce delivery. Transportation Research Part E: Logistics and Transportation Review, 164, 102783. https://doi.org/10.1016/j.tre.2022.102783

Pan, S., Zhou, W., Piramuthu, S., Giannikas, V., & Chen, C. (2021). Smart city for sustainable urban freight logistics. International Journal of Production Research, 59(7), 2079–2089. https://doi.org/10.1080/00207543.2021.1893970

Peppel, M., Ringbeck, J., & Spinler, S. (2022). How will last-mile delivery be shaped in 2040? A Delphi-based scenario study. Technological Forecasting and Social Change, 177, 121493. https://doi.org/10.1016/j.techfore.2022.121493

Praet, S., & Martens, D. (2020). Efficient Parcel Delivery by Predicting Customers’ Locations*. Decision Sciences, 51(5), 1202–1231. https://doi.org/10.1111/deci.12376

Rai, H. B., Broekaert, C., Verlinde, S., & Macharis, C. (2021). Sharing is caring: How non-financial incentives drive sustainable e-commerce delivery. Transportation Research Part D, 93, 102794.

Ramanathan, R. (2010). The moderating roles of risk and efficiency on the relationship between logistics performance and customer loyalty in e-commerce. Transportation Research Part E: Logistics and Transportation Review, 46(6), 950–962. https://doi.org/10.1016/j.tre.2010.02.002

Reich, K., & Rosenbaum, W. (2001). Last mile e-delivery as the bridge to the future. Mail Technology: Evolution to e-Revolution, 145–156.

Rincon-Garcia, N., Waterson, B., Cherrett, T. J., & Salazar-Arrieta, F. (2020). A metaheuristic for the time-dependent vehicle routing problem considering driving hours regulations – An application in city logistics. Transportation Research Part A: Policy and Practice, 137, 429–446. https://doi.org/10.1016/j.tra.2018.10.033

Sandoval, M. G., Álvarez-Miranda, E., Pereira, J., Ríos-Mercado, R. Z., & Díaz, J. A. (2022). A novel districting design approach for on-time last-mile delivery: An application on an express postal company. Omega (United Kingdom), 113, 102687. https://doi.org/10.1016/j.omega.2022.102687

Schaap, H., Schiffer, M., Schneider, M., & Walther, G. (2022). A Large Neighborhood Search for the Vehicle Routing Problem with Multiple Time Windows. Transportation Science, 56(5), 1369–1392. https://doi.org/10.1287/trsc.2021.1120

Simoni, M. D., Kutanoglu, E., & Claudel, C. G. (2020). Optimization and analysis of a robot-assisted last mile delivery system. Transportation Research Part E: Logistics and Transportation Review, 142, 102049. https://doi.org/10.1016/j.tre.2020.102049

Singh, A. K., Subramanian, N., Pawar, K. S., & Bai, R. (2018). Cold chain configuration design: location-allocation decision-making using coordination, value deterioration, and big data approximation. Annals of Operations Research, 270(1–2), 433–457. https://doi.org/10.1007/s10479-016-2332-z

Taylor, M., & Taylor, A. (2012). The technology life cycle: Conceptualization and managerial implications. International Journal of Production Economics, 140(1), 541–553. https://doi.org/10.1016/j.ijpe.2012.07.006

Tian, Z., Zhong, R. Y., Vatankhah Barenji, A., Wang, Y. T., Li, Z., & Rong, Y. (2021). A blockchain-based evaluation approach for customer delivery satisfaction in sustainable urban logistics. International Journal of Production Research, 59(7), 2229–2249. https://doi.org/10.1080/00207543.2020.1809733

Torres, F., Gendreau, M., & Rei, W. (2022). Vehicle Routing with Stochastic Supply of Crowd Vehicles and Time Windows. Transportation Science, 56(3), 631–653. https://doi.org/10.1287/trsc.2021.1101

Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review. British Journal of Management, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375

Tsakalidis, A., Krause, J., Julea, A., Peduzzi, E., Pisoni, E., & Thiel, C. (2020). Electric light commercial vehicles: Are they the sleeping giant of electromobility? Transportation Research Part D: Transport and Environment, 86, 102421. https://doi.org/10.1016/j.trd.2020.102421

Vakulenko, Y., Shams, P., Hellström, D., & Hjort, K. (2019). Service innovation in e-commerce last mile delivery: Mapping the e-customer journey. Journal of Business Research, 101, 461–468. https://doi.org/10.1016/j.jbusres.2019.01.016

van Lopik, K., Schnieder, M., Sharpe, R., Sinclair, M., Hinde, C., Conway, P., West, A., & Maguire, M. (2020). Comparison of in-sight and handheld navigation devices toward supporting industry 4.0 supply chains: First and last mile deliveries at the human level. Applied Ergonomics, 82, 102928. https://doi.org/10.1016/j.apergo.2019.102928

Wang, W., Gope, P., & Cheng, Y. (2024). An AI-Driven Secure and Intelligent Robotic Delivery System. IEEE Transactions on Engineering Management, 1–16. https://doi.org/10.1109/TEM.2022.3142282

Wang, X., Yuen, K. F., Teo, C. C., & Wong, Y. D. (2021). Online Consumers’ Satisfaction in Self-Collection: Value Co-Creation from the Service Fairness Perspective. International Journal of Electronic Commerce, 25(2), 230–260. https://doi.org/10.1080/10864415.2021.1887699

Xia, Y., Zeng, W., Xing, X., Zhan, Y., Tan, K. H., & Kumar, A. (2023). Joint optimisation of drone routing and battery wear for sustainable supply chain development: a mixed-integer programming model based on blockchain-enabled fleet sharing. Annals of Operations Research, 327(1), 89–127. https://doi.org/10.1007/s10479-021-04459-5

Xiao, F., Wang, H., Guo, S., Guan, X., & Liu, B. (2021). Efficient and truthful multi-attribute auctions for crowdsourced delivery. International Journal of Production Economics, 240, 108233. https://doi.org/10.1016/j.ijpe.2021.108233

Zhang, P., Liu, Y., Yang, G., & Zhang, G. (2022). A multi-objective distributionally robust model for sustainable last mile relief network design problem. Annals of Operations Research, 309(2), 689–730. https://doi.org/10.1007/s10479-020-03813-3

Zhen, L., Wu, Y., Wang, S., & Yi, W. (2021). Crowdsourcing mode evaluation for parcel delivery service platforms. International Journal of Production Economics, 235, 108067. https://doi.org/10.1016/j.ijpe.2021.108067

SLR REFERENCES

Abhishek, Legros, B., & Fransoo, J. C. (2021). Performance evaluation of stochastic systems with dedicated delivery bays and general on-street parking. Transportation Science, 55(5), 1070–1087.

Ahmad, N., & Mehmood, R. (2016). Enterprise systems and performance of future city logistics. Production Planning & Control, 27(6), 500–513.

Akeb, H., Moncef, B., & Durand, B. (2018). Building a collaborative solution in dense urban city settings to enhance parcel delivery: An effective crowd model in Paris. Transportation Research Part E, 119, 223–233.

Allen, J., Piecyk, M., Piotrowska, M., McLeod, F., Cherrett, T., Ghali, K., Nguyen, T., Bektas, T., Bates, O., Friday, A., Wise, S., & Austwick, M. (2018). Understanding the impact of e-commerce on last-mile light goods vehicle activity in urban areas: The case of London. Transportation Research Part D: Transport and Environment, 61(Part B), 325–338.

Ambra, T., Caris, A., & Macharis, C. (2021). Do you see what I see? A simulation analysis of order bundling within a transparent user network in geographic space. Journal of Business Logistics, 2020, 1–24.

Bergmann, F. M., Wagner, S. M., & Winkenbach, M. (2020). Integrating first-mile pickup and last-mile delivery on shared vehicle routes for efficient urban e-commerce distribution. Transportation Research Part B, 131, 26–62.

Borgstrom, B., Hertz, S., & Jensen, L. M. (2021). Strategic development of third-party logistics providers (TPLs): Going under the floor or raising the roof? Industrial Marketing Management, 97, 183–192.

Carlsson, J. G., Behroozi, M., Devulapalli, R., & Meng, X. F. (2016). Household-level economies of scale in transportation. Operations Research, 64(6), 1372–1387.

Caspersen, E., & Navrud, S. (2021). The sharing economy and consumer preferences for environmentally sustainable last mile deliveries. Transportation Research Part D, 95, 102863.

Castillo, V. E., Bell, J. E., Rose, W. J., & Rodrigues, A. M. (2018). Crowdsourcing last mile delivery: Strategic implications and future research directions. Journal of Business Logistics, 2017, 1–19.

Chen, L., Chen, Y. Y., & Langevin, A. (2021). An inverse optimization approach for a capacitated vehicle routing problem. European Journal of Operational Research, 295, 1087–1098.

Chen, C., Demir, E., Huang, Y., & Qiu, R. Z. (2021). The adoption of self-driving delivery robots in last mile logistics. Transportation Research Part E, 146, 102214.

Chen, R., Meng, Q., & Jia, P. (2022). Container port drayage operations and management: Past and future. Transportation Research Part E, 159, 102633.

Chen, Y. G., Yu, J., Yang, S. Q., & Wei, J. E. (2018). Consumer's intention to use self-service parcel delivery service in online retailing: An empirical study. Internet Research, 28(2), 500–519.

Deng, Q. Y., Fang, X., & Lim, Y. F. (2021). Urban consolidation center or peer-to-peer platform? The solution to urban last-mile delivery. Production and Operations Management, 30(4), 997–1013.

Deutsch, Y., & Golany, B. (2018). A parcel locker network as a solution to the logistics last mile problem. International Journal of Production Research, 56(1–2), 251–261.

Difrancesco, R. M., van Schilt, I. M., & Winkenbach, M. (2021). Optimal in-store fulfillment policies for online orders in an omni-channel retail environment. European Journal of Operational Research, 293, 1058–1076.

Dumez, D., Lehuede, F., & Peton, O. (2021). A large neighborhood search approach to the vehicle routing problem with delivery options. Transportation Research Part B, 144, 103–132.

Ergun, O., Gui, L., Heier Stamm, J. L., Keskinocak, P., & Swann, J. (2014). Improving humanitarian operations through technology-enabled collaboration. Production and Operations Management, 23(6).

Figliozzi, M. A. (2020). Carbon emissions reductions in last mile and grocery deliveries utilizing air and ground autonomous vehicles. Transportation Research Part D, 85, 102443.

Florio, A. M., Feillet, D., & Hartl, R. F. (2018). The delivery problem: Optimizing hit rates in e-commerce deliveries. Transportation Research Part B, 117, 455–472.

Gielens, K., Gijsbrechts, E., & Geyskens, I. (2021). Navigating the last mile: The demand effects of click-and-collect order fulfillment. Journal of Marketing, 85(4), 158–178.

Gimenez-Palacios, I., Parreño, F., Alvarez-Valdes, R., Paquay, C., Oliveira, B. B., Carravilla, M. A., & Olivera, J. F. (2022). First-mile logistics parcel pickup: Vehicle routing with packing constraints under disruption. Transportation Research Part E, 164, 102812.

Hayel, Y., Quadri, D., Jimenez, T., & Brotcorne, L. (2016). Decentralized optimization of last-mile delivery services with non-cooperative bounded rational customers. Annals of Operations Research, 239, 451–469.

He, E. J., & Goh, J. (2021). Profit or growth? Dynamic order allocation in a hybrid workforce. Management Science, 68(8), 5891–5906.

Huang, Y. X., Savelsbergh, M., & Zhao, L. (2018). Designing logistics systems for home delivery in densely populated urban areas. Transportation Research Part B, 115, 95–125.

Janjevic, M., Winkenbach, M., & Merchan, D. (2019). Integrating collection-and-delivery points in the strategic design of urban last-mile e-commerce distribution networks. Transportation Research Part E, 131, 37–67.

Ji, S. F., Luo, R. J., & Peng, X. S. (2019). A probability-guided evolutionary algorithm for multi-objective green express cabinet assignment in urban last-mile logistics. International Journal of Production Research, 57(11), 3382–3404.

Jiang, M., & Huang, G. Q. (2022). Intralogistics synchronization in robotic forward-reserve warehouses for e-commerce last-mile delivery. Transportation Research Part E, 158, 102619.

Kandula, S., Krishnamoorthy, S., & Roy, D. (2021). A prescriptive analytics framework for efficient e-commerce order delivery. Decision Support Systems, 147, 113584.

Kapser, S., Abdelrahman, M., & Bernecker, T. (2021). Autonomous delivery vehicles to fight the spread of COVID-19—How do men and women differ in their acceptance? Transportation Research Part A, 148, 183–198.

Kemp, N. J., Li, L. Y., Keoleian, G. A., Kim, H. C., Wallington, T. J., & De Kleine, R. (2022). Carbon footprint of alternative grocery shopping and transportation options from retail distribution centers to customers. Environmental Science & Technology, 56, 11798–11806.

Kim, H. S., & Sohn, S. Y. (2009). Cost of ownership model for the RFID logistics system applicable to u-city. European Journal of Operational Research, 194, 406–417.

Kizil, K. U., & Yildiz, B. (2022). Public transport-based crowd-shipping with backup transfers. Transportation Science, 57(1), 174–196.

Koshta, N., Devi, Y., & Chauhan, C. (2022). Evaluating barriers to the adoption of delivery drones in rural healthcare supply chains: Preparing the healthcare system for the future. IEEE Transactions on Engineering Management.

Kull, T. J., Boyer, K., & Calantone, R. (2007). Last-mile supply chain efficiency: An analysis of learning curves in online ordering. International Journal of Operations & Production Management, 27(4), 409–434.

Lemardele, C., Estrada, M., Pages, L., & Bachofner, M. (2021). Potentialities of drones and ground autonomous delivery devices for last-mile logistics. Transportation Research Part E: Logistics and Transportation Review, 149, 102325.

Leung, E. K. H., Lee, C. K. H., & Ouyang, Z. Y. (2022). From traditional warehouses to physical internet hubs: A digital twin-based inbound synchronization framework for PI-order management. International Journal of Production Economics, 244, 108353.

Leung, E. K. H., Ouyang, Z. Y., & Huang, G. Q. (2022). Community logistics: A dynamic strategy for facilitating immediate parcel delivery to smart lockers. International Journal of Production Research, 61(9), 2937–2962.

Li, L. Y., He, X. Y., Keoleian, G. A., Kim, H. C., De Kleine, R., & Wallington, T. J. (2021). Life cycle greenhouse gas emissions for last-mile parcel delivery by automated vehicles and robots. Environmental Science & Technology, 55(16), 11360–11367.

Lim, S. F. W. T., & Srai, J. S. (2018). Examining the anatomy of last-mile distribution in e-commerce omnichannel retailing: A supply network configuration approach. International Journal of Operations & Production Management, 38(9), 1735–1764.

Lin, Y. H., Wang, Y., He, D. D., & Lee, L. H. (2020). Last-mile delivery: Optimal locker location under multinomial logit choice model. Transportation Research Part E, 142, 102059.

Lin, Y. H., Wang, Y., Lee, L. H., & Chew, E. P. (2022). Profit-maximizing parcel locker location problem under threshold Luce model. Transportation Research Part E, 157, 102541.

MacCarthy, B. L., Zhang, L. N., & Muyldermans, L. (2019). Best performance frontiers for buy-online-pickup-in-store order fulfillment. International Journal of Production Economics, 211, 251–264.

Malik, L., Tiwari, G., Biswas, U., & Woxenius, J. (2021). Estimating urban freight flow using limited data: The case of Delhi, India. Transportation Research Part E, 149, 102316.

Meherishi, L., Narayana, S. A., & Ranjani, K. S. (2021). Integrated product and packaging decisions with secondary packaging returns and protective packaging management. European Journal of Operational Research, 292, 930–952.

Melkonyan, A., Gruchmann, T., Lohmar, F., Kamath, V., & Spinler, S. (2020). Sustainability assessment of last-mile logistics and distribution strategies: The case of local food networks. International Journal of Production Economics, 228, 107746.

Munoz-Villamizar, A., Velazquez-Martinez, J. C., Mejia-Argueta, C., & Gamez-Perez, K. (2022). The impact of shipment consolidation strategies for green home delivery: A case study in a Mexican retail company. International Journal of Production Research, 60(8), 2443–2460.

Nagendra, N. P., Narayanamurthy, G., & Moser, R. (2020). Management of humanitarian relief operations using satellite big data analytics: The case of Kerala floods. Annals of Operations Research, 319, 885–910.

Nguyen, D. H., de Leeuw, S., Dullaert, W., & Foubert, B. P. J. (2019). What is the right delivery option for you? Consumer preferences for delivery attributes in online retailing. Journal of Business Logistics, 2019, 1–23.

Onal, S., Zhang, J. R., & Das, S. (2018). Product flows and decision models in internet fulfillment warehouses. Production Planning & Control: The Management of Operations, 29(10).

Ouyang, Z. Y., Leung, E. K. H., & Huang, G. Q. (2022). Community logistics for dynamic vehicle dispatching: The effects of community departure time and space. Transportation Research Part E, 165, 102842.

Ozarik, S. S., Veelenturf, L. P., Van Woensel, T., & Laporte, G. (2021). Optimizing e-commerce last-mile vehicle routing and scheduling under uncertain customer presence. Transportation Research Part E, 148, 102263.

Pahwa, A., & Jaller, M. (2022). A cost-based comparative analysis of different last-mile strategies for e-commerce delivery. Transportation Research Part E, 164, 102783.

Peppel, M., Ringbeck, J., & Spinler, S. (2022). How will last-mile delivery be shaped in 2040? A Delphi-based scenario study. Technological Forecasting & Social Change, 177, 121493.

Praet, S., & Martens, D. (2020). Efficient parcel delivery by predicting customers' locations. Decision Sciences, 51(5), 1202–1231.

Prajapati, D., Chan, F. T. S., Daultani, Y., & Pratap, S. (2022). Sustainable vehicle routing of agro-food grains in the e-commerce industry. International Journal of Production Research, 60(24), 7319–7344.

Qiu, Y. Z., Zhou, D., Du, Y. N., Liu, J., Pardalos, P. M., & Qiao, J. (2021). The two-echelon production routing problem with cross-docking satellites. Transportation Research Part E, 147, 102210.

Quak, H. J., & de Koster, M. B. M. (2007). Exploring retailers' sensitivity to local sustainability policies. Journal of Operations Management, 25(6), 1103–1122.

Quak, H. J., & de Koster, M. B. M. (2009). Delivering goods in urban areas: How to deal with urban policy restrictions and the environment. Transportation Science, 43(2), 211–227.

Quirion-Blais, O., & Chen, L. (2021). A case-based reasoning approach to solve the vehicle routing problem with time windows and drivers' experience. Omega: International Journal of Management Science, 102, 102340.

Ramanathan, R. (2010). The moderating roles of risk and efficiency on the relationship between logistics performance and customer loyalty in e-commerce. Transportation Research Part E, 46, 950–962.

Rincon-Garcia, N., Waterson, B., Cherrett, T. J., & Salazar-Arrieta, F. (2020). A metaheuristic for the time-dependent vehicle routing problem considering driving hours regulations – An application in city logistics. Transportation Research Part A, 137, 429–446.

Sandoval, G., Alvarez-Miranda, E., Pereira, J., Rios-Mercado, R. Z., & Diaz, J. A. (2022). A novel districting design approach for on-time last-mile delivery: An application on an express postal company. Omega: International Journal of Management Science, 113, 102687.

Schaap, H., Schiffer, M., Schneider, M., & Walther, G. (2022). A large neighborhood search for the vehicle routing problem with multiple time windows. Transportation Science, 56(5), 1369–1392.

Shahmohammadi, S., Steinmann, Z. J. N., Tambjerg, L., van Loon, P., King, J. M. H., & Huijbregts, M. A. J. (2020). Comparative greenhouse gas footprinting of online versus traditional shopping for fast-moving consumer goods: A stochastic approach. Environmental Science & Technology, 54, 3499–3509.

Shao, S. J., Xu, G. Y., Li, M., & Huang, G. Q. (2019). Synchronizing e-commerce city logistics with sliding time windows. Transportation Research Part E, 123, 17–28.

Simonia, M. D., Kutanoglu, E., & Claudel, C. G. (2020). Optimization and analysis of a robot-assisted last mile delivery system. Transportation Research Part E, 142, 102049.

Singh, A. K., Subramanian, N., Pawar, K. S., & Bai, R. B. (2018). Cold chain configuration design: Location-allocation decision-making using coordination, value deterioration, and big data approximation. Annals of Operations Research, 270, 433–457.

Srinivas, S., Ramachandiran, S., & Rajendran, S. (2022). Autonomous robot-driven deliveries: A review of recent developments and future directions. Transportation Research Part E, 165, 102834.

Suh, K., Smith, T., & Linhoff, M. (2012). Leveraging socially networked mobile ICT platforms for the last-mile delivery problem. Environmental Science & Technology, 46, 9481–9490.

Tian, Z. G., Zhong, R. Y., Barenji, A. V., Wang, Y. T., Li, Z., & Rong, Y. M. (2021). A blockchain-based evaluation approach for customer delivery satisfaction in sustainable urban logistics. International Journal of Production Research, 59(7), 2229–2249.

Tilk, C., Olkis, K., & Irnich, S. (2021). The last-mile vehicle routing problem with delivery options. OR Spectrum, 43, 877–904.

Tokar, T., Williams, B. D., & Fugate, B. S. (2020). I heart logistics—Just don’t ask me to pay for it: Online shopper behavior in response to a delivery carrier upgrade and subsequent shipping charge increase. Journal of Business Logistics, 2020, 1–24.

Torres, F., Gendreau, M., & Rei, W. (2022). Vehicle routing with stochastic supply of crowd vehicles and time windows. Transportation Science, 56(3), 631–653.

Tsakalidis, A., Krause, J., Julea, A., Peduzzi, E., Pisoni, E., & Thiel, C. (2020). Electric light commercial vehicles: Are they the sleeping giant of electromobility? Transportation Research Part D, 86, 102421.

Vakulenko, Y., Arsenovic, J., Hellstrom, D., & Shams, P. (2022). Does delivery service differentiation matter? Comparing rural to urban e-consumer satisfaction and retention. Journal of Business Research, 142, 476–484.

Vakulenko, Y., Hellstrom, D., & Hjort, K. (2018). What's in the parcel locker? Exploring customer value in e-commerce last mile delivery. Journal of Business Research, 88, 421–427.

Vakulenko, Y., Shams, P., Hellstrom, D., & Hjort, K. (2019). Service innovation in e-commerce last mile delivery: Mapping the e-customer journey. Journal of Business Research, 101, 461–468.

Van Lopik, K., Schnieder, M., Sharpe, R., Sinclair, M., Hinde, C., Conway, P., West, A., Maguire, M. (2020). Comparison of in-sight and handheld navigation devices toward supporting industry 4.0 supply chains: First and last mile deliveries at the human level. Applied Ergonomics, 82, 102928.

Wang, M. T., Zhang, C. R., Bell, M. G. H., & Miao, L. X. (2022). A branch-and-price algorithm for location-routing problems with pick-up stations in the last-mile distribution system. European Journal of Operational Research, 303, 1258–1276.

Wang, W., Gope, P., & Cheng, Y. Q. (2022). An AI-driven secure and intelligent robotic delivery system. IEEE Transactions on Engineering Management, 2022.

Wang, X., Yuen, K. F., Teo, C. C., & Wong, Y. D. (2021). Online consumers' satisfaction in self-collection: Value co-creation from the service fairness perspective. International Journal of Electronic Commerce, 25(2), 230–260.

Wang, Y., Lei, L. F., Zhang, D. X., & Lee, L. H. (2020). Towards delivery-as-a-service: Effective neighborhood search strategies for integrated delivery optimization of e-commerce and static O2O parcels. Transportation Research Part B, 139, 38–63.

Wang, Y., Zhang, D. X., Liu, Q., Shen, F. M., & Lee, L. H. (2016). Towards enhancing the last-mile delivery: An effective crowd-tasking model with scalable solutions. Transportation Research Part E, 93, 279–293.

Wehbi, L., Bektas, T., & Iris, C. (2022). Optimising vehicle and on-foot porter routing in urban logistics. Transportation Research Part D, 109, 103371.

Xia, Y., Zeng, W. J., Xing, X. J., Zhan, Y. Z., Tan, K. H., & Kumar, A. (2021). Joint optimisation of drone routing and battery wear for sustainable supply chain development: A mixed-integer programming model based on blockchain-enabled fleet sharing. Annals of Operations Research, 327, 89–127.

Xiao, F., Wang, H. J., Guo, S. J., Guan, X., & Liu, B. S. (2021). Efficient and truthful multi-attribute auctions for crowdsourced delivery. International Journal of Production Economics, 240, 108233.

Yan, Y. M., Chow, A. H. F., Ho, C. P., Kuo, Y. H., Wu, Q. H., & Ying, C. S. (2022). Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities. Transportation Research Part E, 162, 102712.

Yang, C., Lan, S. L., & Wang, L. H. (2019). Research on coordinated development between metropolitan economy and logistics using big data and Haken model. International Journal of Production Research, 57(4), 1176–1189.

Yao, Y., Zhu, X. N., Dong, H. Y., Wu, S. N., Wu, H. L., Tong, L. C., & Zhou, X. S. (2019). ADMM-based problem decomposition scheme for vehicle routing problem with time windows. Transportation Research Part B, 129, 156–174.

Yu, V. F., Jodiawan, P., & Redi, A. A. N. P. (2022). Crowd-shipping problem with time windows, transshipment nodes, and delivery options. Transportation Research Part E, 157, 102545.

Yuan, Y., Cattaruzza, D., Ogier, M., Semet, F., & Vigo, D. (2021). A column generation-based heuristic for the generalized vehicle routing problem with time windows. Transportation Research Part E, 152, 102391.

Zhang, P. Y., Liu, Y. K., Yang, G. Q., & Zhang, G. Q. (2022). A multi-objective distributionally robust model for sustainable last mile relief network design problem. Annals of Operations Research, 309, 689–730.

Zhen, L., Wu, Y. W., Wang, S. A., & Yi, W. (2021). Crowdsourcing mode evaluation for parcel delivery service platforms. International Journal of Production Economics, 235, 108067.

Zhou, L., Baldacci, R., Vigo, D., & Wang, X. (2018). A multi-depot two-echelon vehicle routing problem with delivery options arising in the last mile distribution. European Journal of Operational Research, 265, 765–778.

Publicado

2025-01-24

Número

Sección

SECCIÓN ESPECIAL

Cómo citar

Deschutter, E. N., Garcia-Buendia, N., Moyano Fuentes, J., & Maqueira Marín, J. M. (2025). Comprensión del papel de las tecnologías de la información y digitales de la industria 4.0 en la logística de última milla: estado actual y futuras líneas de investigación. Revista De Estudios Empresariales. Segunda Época, 1, 5-31. https://doi.org/10.17561/ree.n1.2025.9128