A Decision Support System for Attended Home Services

Published Online:https://doi.org/10.1287/inte.2020.1031

References

  • Agatz N, Fleischmann M, van Nunen JA (2008a) E-fulfillment and multi-channel distribution—A review. Eur. J. Oper. Res. 187(2):339–356.Google Scholar
  • Agatz N, Campbell AM, Fleischmann M, Savelsbergh M (2008b) Challenges and opportunities in attended home delivery. Golden BL, Raghavan S, Wasil EA, eds. The Vehicle Routing Problem: Latest Advances and New Challenges (Springer US, Boston), 379–396.Google Scholar
  • Agatz N, Campbell AM, Fleischmann M, Savelsbergh M (2011) Time slot management in attended home delivery. Transportation Sci. 45(3):435–449.LinkGoogle Scholar
  • ARERA (2013) Single text of the instructions of quality regulation and tariffs of gas distribution and measurement services for the 2014–2019 regulatory period. Accessed December 12, https://www.autorita.energia.it/allegati/docs/13/574-13all.pdf.Google Scholar
  • ARERA (2016) Integrated text of the authority regulations for accounting unbundling for companies operating in the same gas, water or electricity business market. Accessed March 24, https://www.arera.it/allegati/docs/16/137-16all.pdf.Google Scholar
  • Baldacci R, Mingozzi A, Roberti R (2012) Recent exact algorithms for solving the vehicle routing problem under capacity and time window constraints. Eur. J. Oper. Res. 218(1):1–6.Google Scholar
  • Bent RW, Van Hentenryck P (2004) Scenario-based planning for partially dynamic vehicle routing with stochastic customers. Oper. Res. 52(6):977–987.LinkGoogle Scholar
  • Bruck BP, Cordeau JF, Iori M (2018) A practical time slot management and routing problem for attended home services. Omega 81:208–219.Google Scholar
  • Campbell AM, Savelsbergh M (2005) Decision support for consumer direct grocery initiatives. Transportation Sci. 39(3):313–327.LinkGoogle Scholar
  • Campbell AM, Savelsbergh M (2006) Incentive schemes for attended home delivery services. Transportation Sci. 40(3):327–341.LinkGoogle Scholar
  • Cappanera P, Scutellà MG, Nervi F, Galli L (2018) Demand uncertainty in robust home care optimization. Omega 80:95–110.Google Scholar
  • Ehmke JF, Mattfeld DC (2012) Vehicle routing for attended home delivery in city logistics. Procedia Soc. Behav. Sci. 39:622–632.Google Scholar
  • European Parliament (2009) Directive 2009/73/EC of the European parliament and of the council. Accessed July 13, http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2009:211:0094:0136:en:PDF.Google Scholar
  • Fadda E, Gobbato L, Perboli G, Rosano M, Tadei R (2018) Waste collection in urban areas: A case study. Interfaces 48(4):307–322.LinkGoogle Scholar
  • Han S, Zhao L, Chen K, Luo Zw, Mishra D (2017) Appointment scheduling and routing optimization of attended home delivery system with random customer behavior. Eur. J. Oper. Res. 262(3):966–980.Google Scholar
  • Hanne T, Melo T, Nickel S (2009) Bringing robustness to patient flow management through optimized patient transports in hospitals. Interfaces 39(3):241–255.LinkGoogle Scholar
  • Hernandez F, Gendreau M, Potvin JY (2017) Heuristics for tactical time slot management: A periodic vehicle routing problem view. Internat. Transportation Oper. Res. 24(6):1233–1252.Google Scholar
  • Kostuk KJ, Willoughby KA (2012) A decision support system for scheduling the Canadian Football League. Interfaces 42(3):286–295.LinkGoogle Scholar
  • Lin II, Mahmassani HS (2002) Can online grocers deliver? Some logistics considerations. Transportation Res. Record J. Transportation Res. Board 1817(1):17–24.Google Scholar
  • Madsen OB, Tosti K, Vælds J (1995) A heuristic method for dispatching repair men. Ann. Oper. Res. 61(1):213–226.Google Scholar
  • Murtagh F, Contreras P (2012) Algorithms for hierarchical clustering: An overview. Wires Data Mining Knowledge Discovery 2(1):86–97.Google Scholar
  • Pasupathy KS, Medina-Borja A (2008) Integrating Excel, Access, and Visual Basic to deploy performance measurement and evaluation at the American Red Cross. Interfaces 38(4):324–337.LinkGoogle Scholar
  • Punakivi M, Saranen J (2001) Identifying the success factors in e-grocery home delivery. Internat. J. Retail Distribution Management 29(4):156–163.Google Scholar
  • Spliet R, Desaulniers G (2015) The discrete time window assignment vehicle routing problem. Eur. J. Oper. Res. 244(2):379–391.Google Scholar
  • Spliet R, Gabor A (2014) The time window assignment vehicle routing problem. Transportation Sci. 49(4):721–731.LinkGoogle Scholar
  • Subramanyam A, Wang A, Gounaris C (2018) A scenario decomposition algorithm for strategic time window assignment vehicle routing problems. Transportation Res. Part B: Methodological 117:296–317.Google Scholar
  • Toth P, Vigo D, eds. (2014) Vehicle Routing: Problems, Methods, and Applications, 2nd ed. (SIAM, Philadelphia).Google Scholar
  • Yang X, Strauss AK, Currie CS, Eglese R (2014) Choice-based demand management and vehicle routing in e-fulfillment. Transportation Sci. 50(2):473–488.LinkGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.