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Analyzing store features for online order picking in grocery retailing: an experimental study

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Analyzing store features for online order picking in grocery retailing: an experimental study

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dc.contributor.author Vazquez-Noguerol, Mar es_ES
dc.contributor.author Riveiro-Sanroman, Sara es_ES
dc.contributor.author Portela-Caramés, Iago es_ES
dc.contributor.author Prado-Prado, J. Carlos es_ES
dc.date.accessioned 2022-09-08T07:34:02Z
dc.date.available 2022-09-08T07:34:02Z
dc.date.issued 2022-07-29
dc.identifier.uri http://hdl.handle.net/10251/185599
dc.description.abstract [EN] The digital transformation is having a major impact on the consumer product market, pushing food retailers to foster online sales. To avoid large investments, e-grocers are tending to use their existing physical stores to undertake the online order picking process. In this context, these companies must choose in which traditional stores must prepare online orders. The aim of this study is to identify which store features affect order preparation times. The action research approach has been used at a Spanish e-grocer to analyze the characteristics that differentiate picking stores from each other; furthermore, the preparation times for a sample of online orders have been measured. The data were analyzed statistically using one-way ANOVA to define the optimal store in terms of size, assortment, backroom and congestion. The study shows that three of the four characteristics are significant on the preparation time. Therefore, e-grocers using a store-based model can use this information to focus their efforts on optimizing this process, assigning online order picking to the most appropriate stores. The approach used allows the study to be suitable for different retail context. Moreover, the results serve as support for strategic decision-making of researchers and e-grocers seeking to become more competitive in this continually growing market. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof International Journal of Production Management and Engineering es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject E-grocery es_ES
dc.subject Omnichannel es_ES
dc.subject Store-based es_ES
dc.subject Picking es_ES
dc.subject Food Retail es_ES
dc.subject Fulfillment es_ES
dc.title Analyzing store features for online order picking in grocery retailing: an experimental study es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/ijpme.2022.17207
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Vazquez-Noguerol, M.; Riveiro-Sanroman, S.; Portela-Caramés, I.; Prado-Prado, JC. (2022). Analyzing store features for online order picking in grocery retailing: an experimental study. International Journal of Production Management and Engineering. 10(2):183-193. https://doi.org/10.4995/ijpme.2022.17207 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/ijpme.2022.17207 es_ES
dc.description.upvformatpinicio 183 es_ES
dc.description.upvformatpfin 193 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 2 es_ES
dc.identifier.eissn 2340-4876
dc.relation.pasarela OJS\17207 es_ES
dc.description.references Broekmeulen, R.A., Sternbeck, M.G., van Donselaar, K.H., & Kuhn, H. (2017). Decision support for selecting the optimal product unpacking location in a retail supply chain. European Journal of Operational Research, 259(1), 84-99. https://doi.org/10.1016/j.ejor.2016.09.054 es_ES
dc.description.references Chintagunta, P.K., Chu, J., & Cebollada, J. (2012). Quantifying transaction costs in online/off-line grocery channel choice. Marketing Science, 31(1), 96-114. https://doi.org/10.1287/mksc.1110.0678 es_ES
dc.description.references Dias, F.F., Lavieri, P.S., Sharda, S., Khoeini, S., Bhat, C.R., Pendyala, R.M., & Srinivasan, K.K. (2020). A comparison of online and in-person activity engagement: The case of shopping and eating meals. Transportation Research Part C: Emerging Technologies, 114, 643-656. https://doi.org/10.1016/j.trc.2020.02.023 es_ES
dc.description.references Do, V.C., & Omdahl, K. (2018). Efficiency of e-grocery: Challenges and suggestions. (Doctoral thesis). University of Stavanger, Norway. es_ES
dc.description.references Fernie, J., Sparks, L., & McKinnon, A.C. (2010). Retail logistics in the UK: past, present and future. International Journal of Retail & Distribution Management, 38(11/12), 894-914. https://doi.org/10.1108/09590551011085975 es_ES
dc.description.references Forbes Techonology Council Homepage, David Mounts, The digital transformation of retail grocery, https://www.forbes.com/sites/forbestechcouncil/2020/06/26/the-digital-transformation-of-retail-grocery/?sh=11e66b287300. Accessed: February 2021. es_ES
dc.description.references Gallino, S., & Moreno, A. (2019). Operations in an omnichannel world. Springer International Publishing. https://doi.org/10.1007/978-3-030-20119-7 es_ES
dc.description.references Hailu, G. (2020). Economic thoughts on COVID-19 for Canadian food processors. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 68(2), 163-169. https://doi.org/10.1111/cjag.12241 es_ES
dc.description.references Hendrickson, M.K. (2020). Covid lays bare the brittleness of a concentrated and consolidated food system. Agriculture and Human Values, 37(3), 579-580. https://doi.org/10.1007/s10460-020-10092-y es_ES
dc.description.references Hofmann, M., & Meyer-Nieberg, S. (2018). Time to dispense with the p-value in OR?. Central European Journal of Operations Research, 26(1), 193-214. https://doi.org/10.1007/s10100-017-0484-9 es_ES
dc.description.references Hübner, A., Holzapfel, A., & Kuhn, H. (2015). Operations management in multi-channel retailing: an exploratory study. Operations Management Research, 8(3), 84-100. https://doi.org/10.1007/s12063-015-0101-9 es_ES
dc.description.references Hübner, A., Holzapfel, A., Kuhn, H., & Obermair, E. (2019). Distribution in omnichannel grocery retailing: An analysis of concepts realized. Operations in an Omnichannel World. Springer. https://doi.org/10.1007/978-3-030-20119-7_12 es_ES
dc.description.references Ishfaq, R., & Bajwa, N. (2019). Profitability of online order fulfillment in multi-channel retailing. European Journal of Operational Research, 272(3), 1028-1040. https://doi.org/10.1016/j.ejor.2018.07.047 es_ES
dc.description.references Komijan, A.R., & Delavari, D. (2017). Vehicle routing and scheduling problem for a multi-period, multi-perishable product system with time window: A case study. International Journal of Production Management and Engineering, 5(2), 45-53. https://doi.org/10.4995/ijpme.2017.5960 es_ES
dc.description.references Kumar, A., Mangla, S.K., Kumar, P., & Song, M. (2021). Mitigate risks in perishable food supply chains: Learning from COVID-19. Technological Forecasting and Social Change, 166, 120643. https://doi.org/10.1016/j.techfore.2021.120643 es_ES
dc.description.references Mahajan, K., & Tomar, S. (2021). COVID-19 and supply chain disruption: evidence from food markets in India. American journal of agricultural economics, 103(1), 35-52. https://doi.org/10.1111/ajae.12158 es_ES
dc.description.references Mangiaracina, R., Perego, A., Seghezzi, A., & Tumino, A. (2018). Optimizing store-based picking in the e-grocery: a model to assess costs and benefits. Industrial Systems Engineering. es_ES
dc.description.references Mishra, N., & Mukherjee, S. (2019). Effect of artificial intelligence on customer relationship management of amazon in Bangalore. International Journal of Management, 10(4), 168-172. https://doi.org/10.34218/IJM.10.4.2019.016 es_ES
dc.description.references Paul, J., Agatz, N., & Savelsbergh, M. (2019). Optimizing omni-channel fulfillment with store transfers. Transportation Research Part B: Methodological, 129, 381-396. https://doi.org/10.1016/j.trb.2019.10.002 es_ES
dc.description.references Pires, M., Pratas, J., Liz, J., & Amorim, P. (2017). A framework for designing backroom areas in grocery stores. International Journal of Retail & Distribution Management. 45(3), 230-252. https://doi.org/10.1108/IJRDM-01-2016-0004 es_ES
dc.description.references Pires, M., Silva, E., & Amorim, P. (2021). Solving the grocery backroom layout problem. International Journal of Production Research, 59(3), 772-797. https://doi.org/10.1080/00207543.2019.1708990 es_ES
dc.description.references Prado-Prado, J.C., García-Arca, J., Fernández-González, A.J., & Mosteiro-Añón, M. (2020). Increasing competitiveness through the implementation of lean management in healthcare. International Journal of Environmental Research and Public Health, 17(14), 4981. https://doi.org/10.3390/ijerph17144981 es_ES
dc.description.references Rai, H.B., Verlinde, S., Macharis, C., Schoutteet, P., & Vanhaverbeke, L. (2019). Logistics outsourcing in omnichannel retail: State of practice and service recommendations. International Journal of Physical Distribution & Logistics Management.49(3), 267-286. https://doi.org/10.1108/IJPDLM-02-2018-0092 es_ES
dc.description.references Rodríguez-García, M., González-Romero, I., Bas, Á.O., & Prado-Prado, J.C. (2021). E-grocery retailing: from value proposition to logistics strategy. International Journal of Logistics Research and Applications, 1-20. https://doi.org/10.1080/13675567.2021.1900086 es_ES
dc.description.references Rodríguez-García, M., Domínguez-Caamano, P., & Prado-Prado, J.C. (2016) The New Supply Chain in the Era of E-Retailers: A State-of-the-art Literature Review Dirección y Organización, 59, 18-31. https://doi.org/10.37610/dyo.v0i59.491 es_ES
dc.description.references Rooderkerk, R.P., & Kök, A.G. (2019). Omnichannel assortment planning. Operations in an omnichannel world. es_ES
dc.description.references Salgado, T.M.F.D.N. (2015). In-store Order Picking Routing: A Biased Random-Key Genetic Algorithm Approach. (Doctoral thesis). University of Porto, Portugal. es_ES
dc.description.references Schoen, Q., Sanchis, R., Poler, R., Lauras, M., Fontanili, F., & Truptil, S. (2018). Categorisation of the Main Disruptive Events in the Sensitive Products Transportation Supply Chains. International Journal of Production Management and Engineering, 6(2), 79-89. https://doi.org/10.4995/ijpme.2018.10369 es_ES
dc.description.references Seidel, S. (2021). One goal, one approach? A comparative analysis of online grocery strategies in France and Germany. Case Studies on Transport Policy, 9(4), 1922-1932. https://doi.org/10.1016/j.cstp.2021.10.013 es_ES
dc.description.references Seidel, S., Blanquart, C., & Ehrler, V. (2016). Same-same but different? A comparison of food retail and distribution structures in France and Germany. Case Studies on Transport Policy, 4(1), 29-37. https://doi.org/10.1016/j.cstp.2015.09.001 es_ES
dc.description.references Shani, A.B., & Coghlan, D. (2021). Action research in business and management: A reflective review. Action Research, 19(3), 518-541. https://doi.org/10.1177/1476750319852147 es_ES
dc.description.references Suel, E., Daina, N., & Polak, J.W. (2018). A hazard-based approach to modelling the effects of online shopping on intershopping duration. Transportation, 45(2), 415-428. https://doi.org/10.1007/s11116-017-9838-3 es_ES
dc.description.references Tompkins, J.A., White, J.A., Bozer, Y.A., & Tanchoco, J.M.A. (2010). Facilities planning. John Wiley & Sons. es_ES
dc.description.references Vazquez-Noguerol, M., Comesaña-Benavides, J., Poler, R., & Prado-Prado, J.C. (2020). An optimisation approach for the e-grocery order picking and delivery problem. Central European Journal of Operations Research. https://doi.org/10.1007/s10100-020-00710-9 es_ES
dc.description.references Vazquez-Noguerol, M., González-Boubeta, I., Portela-Caramés, I., & Prado-Prado, J.C. (2021). Rethinking picking processes in e-grocery: a study in the multichannel context. Business Process Management Journal. 27(2), 565-589. https://doi.org/10.1108/BPMJ-04-2020-0139 es_ES
dc.description.references Wollenburg, J., Hübner, A., Kuhn, H., & Trautrims, A. (2018). From bricks-and-mortar to bricks-and-clicks: Logistics networks in omni-channel grocery retailing. International Journal of Physical Distribution & Logistics Management. https://doi.org/10.1108/IJPDLM-10-2016-0290 es_ES
dc.description.references Zhao, G., Liu, S., Lopez, C., Chen, H., Lu, H., Mangla, S.K., & Elgueta, S. (2020). Risk analysis of the agri-food supply chain: A multi-method approach. International Journal of Production Research, 58(16), 4851-4876. https://doi.org/10.1080/00207543.2020.1725684 es_ES


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