Modelo de simulação baseada em agentes para avaliar política de distribuição de cargas urbanas do e-commerce

Roberta Alves, Renato da Silva Lima, Alexandre Ferreira de Pinho, Jose Holguín-Veras

Resumo


Este estudo tem como objetivo avaliar a implantação das Estações de Entrega Automática (EEA) como solução para a entrega da última milha, considerando o comportamento e a interação entre os stakeholders do e-commerce. No Brasil, a maior parte maior das entregas são à domicílio e assistidas. Isso resulta em um grande número de entregas com falha e tentativas de re-entrega. As Estações de Entrega Automática (EEA) representam uma solução para reduzir a quantidade de devoluções e consolidar a entrega de mercadorias. Simulamos quatro cenários em Belo Horizonte, Brasil, variando a implementação da EEA e a exclusão das tentativas de devolução. Os EEAs trazem melhorias em termos de redução de re-entregas e das distâncias percorridas pelos caminhões em até 46%.


Palavras-chave


Logística Urbana; Comércio Eletrônico; Simulação Baseada em Agentes; City Logistics.

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Referências


Alho, A., Bhavathrathan, B. K., Stinson, M., Gopalakrishnan, R., Le, D. T., e Ben-Akiva, M. (2017) A multi-scale agent-based mod-elling framework for urban freight distribution. Transportation Research Procedia, 27, 188–196. doi:10.1016/j.trpro.2017.12.138

Alves, R., Lima, R. da S., Silva, K., Gomes, W., e González-Calderón, C. (2019) Functional and environmental impact analysis of urban deliveries in a Brazilian historical city. Case Studies on Transport Policy, 7(2), 443–452. doi:10.1016/j.cstp.2019.01.009

Anand, N., Van Duin, J. H. R., e Tavasszy, L. (2016) Framework for Modelling Multi-stakeholder City Logistics Domain Using the Agent based Modelling Approach. Transportation Research Procedia, 16(March), 4–15. doi:10.1016/j.trpro.2016.11.002

Anylogic. (2018) No Title. Obtido 28 de maio de 2018, de https://www.anylogicbrasil.com.br/

Arnold, F., Cardenas, I., Sörensen, K., e Dewulf, W. (2018) Simulation of B2C e-commerce distribution in Antwerp using cargo bikes and delivery points. European Transport Research Review, 10(1). doi:10.1007/s12544-017-0272-6

Bodin, L. (1983) Routing and Acheduling of vehicles and crews, the state of the art. Computers operational research, 10(2), 63–211.

Cardenas, I., Dewulf, W., Vanelslander, T., Smet, C., e Beckers, J. (2017) The e-commerce parcel delivery market and the impli-cations of home B2C deliveries vs pick-up points. International Journal of Transport Economics, 44(2), 235–256. doi:10.19272/201706702004

Cardenas, Ivan, Beckers, J., Vanelslander, T., e Verhetsel, A. (2016a) Spatial characteristics of failed and successful E- com-merce deliveries in Belgian cities . ILS 2016, 6th International Conference on Information Systems, Logistics and Supply Chain, Bordeaux, France, 1–4 June, 1–10.

Cullinane, S. (2009) From bricks to clicks: The impact of online retailing on transport and the environment. Transport Re-views, 29(6), 759–776. doi:10.1080/01441640902796364

Davidsson, P., Henesey, L., Ramstedt, L., Törnquist, J., e Wernstedt, F. (2005) An analysis of agent-based approaches to transport logistics. Transportation Research Part C: Emerging Technologies, 13(4), 255–271. doi:10.1016/j.trc.2005.07.002

Dell’Amico, M., e Hadjidimitriou, S. (2012) Innovative Logistics Model and Containers Solution for Efficient Last Mile Delivery. Procedia - Social and Behavioral Sciences, 48, 1505–1514. doi:10.1016/j.sbspro.2012.06.1126

Ducret, R. (2014) Parcel deliveries and urban logistics : Changes and challenges in the courier express and parcel sector in Europe — The French case. Research in Transportation Business &Management Final, 11, 15–22. doi:10.1016/j.rtbm.2014.06.009

Ebit. (2018) WEBSHOPPERS 37a Edição 2018., 45. Obtido de http://www.fecomercio.com.br/public/upload/editor/pdfs/ws37_imprensa.pdf

Ebit. (2019) 39a Edição 2019. WEBSHOPPERS 39a EDIÇÃO.

Edwards, J., Mckinnon, A., Cherrett, T., Mcleod, F., e Song, L. (2010) Carbon Dioxide Benefits of Using Collection – Delivery Points for Failed Home Deliveries in the United Kingdom., 136–143. doi:10.3141/2191-17

Elbert, R., e Friedrich, C. (2018) SIMULATION-BASED EVALUATION OF URBAN CONSOLIDATION CENTERS CONSIDERING URBAN ACCESS REGULATIONS. Proceedings of the 2018 Winter Simulation Conference, 2827–2838. doi:10.1017/CBO9781107415324.004

EMARKETER. (2019) Global Ecommerce 2019. Obtido 20 de agosto de 2019, de https://www.emarketer.com/content/global-ecommerce-2019

Esser, K., e Kurte, J. (2007) Strategies for Optimizing Pick-up and Delivery Traffic of Internet Commerce – Packstations in Cologne (OPTIMAL). KE-Consult: Cologne, Germany.

Firdausiyah, N., Taniguchi, E., e Qureshi, A. G. (2019) Modeling city logistics using adaptive dynamic programming based multi-agent simulation. Transportation Research Part E: Logistics and Transportation Review, 125(March), 74–96. doi:10.1016/j.tre.2019.02.011

Forkert, S., e Eichhorn, C. (2007) Alternative Solution for Home Delivery. Niches Transport.

Fox, M. S., Barbuceanu, M., e Teigen, R. (2000) Agent-oriented supply-chain management. International Journal of Flexible Manufacturing Systems, 12(2), 165–188. Obtido de http://www.scopus.com/inward/record.url?eid=2-s2.0-0034171704&partnerID=40&md5=f8843fedf34ca651bf517769b650beff

Holguín-Veras, J., Sánchez-Díaz, I., e Browne, M. (2016) Sustainable Urban Freight Systems and Freight Demand Manage-ment. Transportation Research Procedia, 12(June 2015), 40–52. doi:10.1016/j.trpro.2016.02.024

IBGE. (2010) Censo Demográfico. Obtido de http://censo2010.ibge.gov.br

Iwan, S., Kijewska, K., e Lemke, J. (2016) Analysis of parcel lockers ’ efficiency as the last mile delivery solution – the results of the research in Poland. Transp. Res. Procedia, 12(June 2015), 644–655. doi:10.1016/j.trpro.2016.02.018

Kedia, A., Kusumastuti, D., e Nicholson, A. (2017) Acceptability of collection and delivery points from consumers’ perspective: A qualitative case study of Christchurch city. Case Studies on Transport Policy, 5(4), 587–595. doi:10.1016/j.cstp.2017.10.009

Liu, C., Wang, Q., e Susilo, Y. O. (2017) Assessing the impacts of collection-delivery points to individual’s activity-travel pat-terns: A greener last mile alternative? Transportation Research Part E: Logistics and Transportation Review. doi:10.1016/j.tre.2017.08.007

Maere, B. De. (2017) Ecological and economic impact of automated parcel lockers vs home delivery RESEARCH PAPER 2016-2017., (June).

Marcucci, E., Le Pira, M., Gatta, V., Inturri, G., Ignaccolo, M., e Pluchino, A. (2017) Simulating participatory urban freight transport policy-making: Accounting for heterogeneous stakeholders’ preferences and interaction effects. Transportation Research Part E: Logistics and Transportation Review, 103, 69–86. doi:10.1016/j.tre.2017.04.006

Masteguim, R. de F., Cunha, C. B. da, e Ponce, E. (2018) Modelagem e análise dos impactos econômicos na utilização de pontos de coleta na distribuição urbana de e-commerce: o caso de são paulo. 32° Congresso de Pesquisa Ensino e Transporte da ANPET, 2236–2248.

McLeod, F., Cherrett, T., e Song, L. (2006) Transport impacts of local collection/delivery points. International Journal of Logis-tics Research and Applications, 9(3), 307–317. doi:10.1080/13675560600859565

Morganti, E., Seidel, S., Blanquart, C., Dablanc, L., e Lenz, B. (2014) The impact of e-commerce on final deliveries : alternative parcel delivery services in France and Germany. Transportation Research Procedia, 4(0), 178–190. doi:10.1016/j.trpro.2014.11.014

Oliveira, L. K. De. (2014) Diagnóstico das vagas de carga e descarga para a distribuição urbana de mercadorias: um estudo de caso em Belo Horizonte. Journal of Transport Literature. doi:10.1590/S2238-10312014000100009

Oliveira, L. K. de, Lessa, D. A., Oliveira, E., e Gregório Calazans, B. F. (2017) Multi-agent modelling approach for evaluating the city logistics dynamic in a vulnerability situation: An exploratory study in Belo Horizonte (Brazil). Transportation Rese-arch Procedia, 25, 1046–1060. doi:10.1016/j.trpro.2017.05.478

Oliveira, L. K. de, Morganti, E., Dablanc, L., e Oliveira, R. L. M. de. (2017) Analysis of the potential demand of automated deliv-ery stations for e-commerce deliveries in Belo Horizonte, Brazil. Research in Transportation Economics, 65, 34–43. doi:https://doi.org/10.1016/j.retrec.2017.09.003

Oliveira, J. B., Lima, R. S., e Montevechi, J. A. B. (2016) Perspectives and relationships in Supply Chain Simulation: A systematic literature review. Simulation Modelling Practice and Theory, 62(March 2018), 166–191. doi:10.1016/j.simpat.2016.02.001

PCAPredict. (2018) Fixing Failed Deliveries: Improving Data Quality in Retail. Worcester, UK.

Roorda, M. J., Cavalcante, R., McCabe, S., e Kwan, H. (2010) A conceptual framework for agent-based modelling of logistics services. Transportation Research Part E: Logistics and Transportation Review, 46(1), 18–31. doi:10.1016/j.tre.2009.06.002

Schroeder, S., Zilske, M., Liedtke, G., e Nagel, K. (2012) Towards a Multi-Agent Logistics and Commercial Transport Model: The Transport Service Provider’s View. Procedia - Social and Behavioral Sciences, 39, 649–663. doi:10.1016/j.sbspro.2012.03.137

Song, L., Cherrett, T., e Guan, W. (2011) Implications of collection/delivery points for transport and logistics. OR Insight, 24(4), 231. doi:10.1057/ori.2011.9

Song, L., Cherrett, T., McLeod, F., e Guan, W. (2009) Addressing the Last Mile Problem. Transportation Research Record: Jour-nal of the Transportation Research Board, 2097(2097), 9–18. doi:10.3141/2097-02

Sopha, B. M., Siagian, A., e Asih, A. M. S. (2016) Simulating Dynamic Vehicle Routing Problem Using Agent-Based Modeling and Simulation. 2016 Ieee International Conference on Industrial Engineering and Engineering Management (Ieem). Bali, Indonesia, 4–7 December, 1335–1339. doi:10.1109/IEEM.2016.7798095

Taniguchi, E., Thompson, R. G., e Yamada, T. (2012) Emerging Techniques for Enhancing the Practical Application of City Logistics Models. Procedia - Social and Behavioral Sciences. doi:10.1016/j.sbspro.2012.03.087

Teo, J., Taniguchi, E., e Qureshi, A. (2012) Evaluation of Distance-Based and Cordon-Based Urban Freight Road Pricing in E-Commerce Environment with Multiagent Model. Transportation Research Record: Journal of the Transportation Re-search Board, 2269(2269), 127–134. doi:10.3141/2269-15

van Heeswijk, W., Larsen, R., e Larsen, A. (2019) An urban consolidation center in the city of Copenhagen: A simulation study. International Journal of Sustainable Transportation, 13(9), 675–691. doi:10.1080/15568318.2018.1503380

Van Kolck, A. H. (2010) Multi-agent model for an Urban Distribution Centre. Delft University of Technology, Delft, Nether-lands.

Visser, J., Nemoto, T., e Browne, M. (2014) Home Delivery and the Impacts on Urban Freight Transport: A Review. Procedia - Social and Behavioral Sciences, 125, 15–27. doi:10.1016/j.sbspro.2014.01.1452

Wang, X., Zhan, L., Ruan, J., e Zhang, J. (2014) How to choose “last mile” delivery modes for E-fulfillment. Mathematical Prob-lems in Engineering, 2014(1). doi:doi:10.1155/2014/417129

Wangapisit, O., Taniguchi, E., e Qureshi, A. G. (2013) Multi-Agent Modelling Systems for Evaluating Urban Freight Policy Measures on Parking Space Restriction. General Proceedings of the 13th World Conference on Transport Research Socie-ty (15-18 July 2013, Rio de Janeiro, Brazil), 1–12.

Weltevreden, J. W. J. (2008) B2c e‐commerce logistics: the rise of collection‐and‐delivery points in The Netherlands. Interna-tional Journal of Retail & Distribution Management, 36(8), 638–660. doi:10.1108/09590550810883487

Weltevreden, J. W. J., e Rotem-Mindali, O. (2009) Mobility effects of b2c and c2c e-commerce in the Netherlands: a quantita-tive assessment. Journal of Transport Geography, 17(2), 83–92. doi:10.1016/j.jtrangeo.2008.11.005




DOI: https://doi.org/10.14295/transportes.v27i3.2034

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Direitos autorais 2019 Roberta Alves, Renato da Silva Lima, Alexandre Ferreira de Pinho, Jose Holguín-Veras

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