Last Mile Innovation: The Case of the Locker Alliance Network

References

• Alizadeh F, Goldfarb D (2003) Second-order cone programming. Math. Programming 95(1):3–51.Crossref, Google Scholar
• Aros-Vera F, Marianov V, Mitchell JE (2013) p-Hub approach for the optimal park-and-ride facility location problem. Eur. J. Oper. Res. 226(2):277–285.Crossref, Google Scholar
• Baron O, Milner J, Naseraldin H (2011) Facility location: A robust optimization approach. Production Oper. Management 20(5):772–785.Crossref, Google Scholar
• Chan TC, Shen ZJM, Siddiq A (2017) Robust defibrillator deployment under cardiac arrest location uncertainty via row-and-column generation. Oper. Res. 66(2):358–379.Link, Google Scholar
• Collins A (2015) Travel behaviour in the context of parcel pickups. Working paper, The University of Sydney, Sydney, New South Wales, Australia.Google Scholar
• Edwards J, McKinnon A, Cherrett T, McLeod F, Song L (2009) The impact of failed home deliveries on carbon emissions: Are collection/delivery points environmentally-friendly alternatives? Beresford A, ed. Proc. Logist. Res. Network (University of Cardiff, Cardiff, Wales, UK), 102–108.Google Scholar
• Edwards J, McKinnon A, Cherrett T, McLeod F, Song L(2010) Carbon dioxide benefits of using collection-delivery points for failed home deliveries in the United Kingdom. Transportation Res. Rec. J. Transportation Res. Board 2191(1):136–143.Crossref, Google Scholar
• Faugere L, Montreuil B (2017) Hyperconnected pickup & delivery locker networks. Landschützer C, Ehrentraut F, eds. Proc. 4th Internat. Physical Internet Conf. (Graz University of Technology, Graz, Styria, Australia), 45–58.Google Scholar
• Fee KA (2015) U.S. Patent Application No. 14/063,080.Google Scholar
• Glaeser C, Fisher M, Su X (2019) Optimal retail location: Empirical methodology and application to practice. Manufacturing Service Oper. Management 21(1):86–102.Link, Google Scholar
• Goyal V, Levi R, Segev D (2016) Near-optimal algorithms for the assortment planning problem under dynamic substitution and stochastic demand. Oper. Res. 64(1):219–235.Link, Google Scholar
• Irwin DE, Yessin GM, Shenhar J, Dewnandan JL, Spears ML, Tartal WA (2015) U.S. Patent Application No. 14/743,260.Google Scholar
• Iwan S, Kijewska K, Lemke J (2016) Analysis of parcel lockers’ efficiency as the last mile delivery solution-the results of the research in Poland. Transportation Res. Procedia 12:644–655.Crossref, Google Scholar
• Kung LC, Liao WH (2017) An approximation algorithm for a competitive facility location problem with network effects. Eur. J. Oper. Res. 267(1):176–186.Crossref, Google Scholar
• Lin YH, Wang Y, Lee LH (2020a) Parcel locker location problem under threshold luce model. Preprint, submitted February 25, https://arxiv.org/abs/2002.10810.Google Scholar
• Lin YH, Wang Y, He D, Lee LH (2020b) Last-mile delivery: Optimal locker location under multinomial logit choice model. Transportation Res. Part E Logist. Transportation Rev. 142:102059.Crossref, Google Scholar
• Méndez-Díaz I, Miranda-Bront JJ, Vulcano G, Zabala P (2014) A branch-and-cut algorithm for the latent-class logit assortment problem. Discrete Appl. Math. 164:246–263.Crossref, Google Scholar
• Morganti E, Dablanc L, Fortin F (2014a) Final deliveries for online shopping: The deployment of pickup point networks in urban and suburban areas. Res. Transportation Bus. Management 11:23–31.Crossref, Google Scholar
• Morganti E, Seidel S, Blanquart C, Dablanc L, Lenz B (2014b) The impact of e-commerce on final deliveries: Alternative parcel delivery services in France and Germany. Transporation Res. Procedia 4:178–190.Crossref, Google Scholar
• Ranieri L, Digiesi S, Silvestri B, Roccotelli M (2018) A review of last mile logistics innovations in an externalities cost reduction vision. Sustainability 10(3):782.Crossref, Google Scholar
• Savelsbergh M, Van Woensel T (2016) 50th anniversary invited article-city logistics: Challenges and opportunities. Transportation Sci. 50(2):579–590.Link, Google Scholar
• Şen A, Atamtürk A, Kaminsky P (2018) A conic integer optimization approach to the constrained assortment problem under the mixed multinomial logit model. Oper. Res. 66(4):994–1003.Link, Google Scholar
• Song L, Cherrett T, McLeod F, Guan W (2009) Addressing the last mile problem: Transport impacts of collection and delivery points. Transportation Res. Rec. J. Transportation Res. Board 2097(1):9–18.Crossref, Google Scholar
• Talluri K, Van Ryzin G (2004) Revenue management under a general discrete choice model of consumer behavior. Management Sci. 50(1):15–33.Link, Google Scholar
• Torres L, Suggs B (2015) U.S. Patent Application No. 14/582,088.Google Scholar
• Wang S, Chen Z, Liu T (2020) Distributionally robust hub location. Transportation Sci. 54(5):1189–1210.Link, Google Scholar
• Wang Y, Ong T, Lee LH, Chew EP (2017) Capacitated competitive facility location problem of self-collection lockers by using public big data. 2017 13th IEEE Conf. Automation Sci. Engrg. (CASE) (IEEE, Xi'an, Shanxi, China), 1344.Google Scholar
• Weltevreden JW (2008) B2c e-commerce logistics: The rise of collection-and-delivery points in The Netherlands. Internat. J. Retail Distribution Management 36(8):638–660.Crossref, Google Scholar
• Wu H, Shao D, Ng WS (2015) Locating self-collection points for last-mile logistics using public transport data. Goebel R, Tanaka Y, Wahlster W, eds. Pacific-Asia Conf. Knowledge Discovery Data Mining (Springer International Publishing, Ho Chi Minh, Vietnam), 498–510.Google Scholar
• Zhang Y, Berman O, Verter V (2012) The impact of client choice on preventive healthcare facility network design. OR Spectrum 34(2):349–370.Crossref, Google Scholar