problems, one of the main purposes of this work has been to quantify the benefit of
the horizontal collaboration compared to its counterpart, the individual scheduling,
in the world of Physical Internet. We have collaborated with several industrial
partners in this project within an EU project. We have been provided with real
case studies data which we used to evaluate our algorithms. According to our
numerical experiments, the importance and great potential of the horizontal collaboration is highlighted. In the last mile problem, the cost saving rate of the horizontal
collaboration can amount to 32%, and in the vehicle dispatching problem, the total
vehicle traveling cost can be reduced by 19% if deep collaborations among logistics
operators prevail. By reducing the number of empty vehicles circulating in the
network, a more sustainable logistic system can be obtained that minimizes environmental impact. We also show the positive effect of horizontal collaborations
between different service providers and distributors that make it possible to use
resources more efficiently.
References
Alonso-Mora, J., Samaranayake, S., Wallar, A., Frazzoli, E., & Rus, D. (2017). Proceedings of the
National Academy of Sciences, 114(3), 462.
Bates, O., Friday, A., Allen, J., Cherrett, T., McLeod, F., Bektas, T., Nguyen, T., Piecyk, M.,
Piotrowska, M., Wise, S., et al. (2018). Proceedings of the 2018 CHI Conference on Human
Factors in Computing Systems (p. 526). New York: ACM.
Bortfeldt, A. (2012). Computers & Operations Research, 39(9), 2248.
Campbell, A. M., & Savelsbergh, M. (2004). Transportation Science, 38(3), 369.
European Environmental Agency. (2018). Greenhouse gas emissions from transport. Technical
report.
Fanslau, T., & Bortfeldt, A. (2010). INFORMS Journal on Computing, 22(2), 222.
Gendreau, M., Iori, M., Laporte, G., & Martello, S. (2006). Transportation Science, 40(3), 342.
Gentile, G., & Noekel, K. (2016). Gewerbestrasse: Springer International Publishing.
Hifi, M., Kacem, I., Nègre, S., & Wu, L. (2010). Electronic Notes in Discrete Mathematics, 36, 993.
Landschützer, C., Ehrentraut, F., & Jodin, D. (2015). Logistics Research, 8(1), 8.
Levine, J., & Ducatelle, F. (2004). Journal of the Operational Research Society, 55(7), 705.
Martello, S., Pisinger, D., & Vigo, D. (2000). Operations Research, 48(2), 256.
Massen, F., Deville, Y., & Van Hentenryck, P. (2012). Integration of AI and OR techniques in
constraint programming for combinatorial optimization problems (pp. 260–274). Berlin:
Springer.
Montreuil, B. (2010). Physical internet manifesto V1. 7: Globally transforming the way physical
objects are handled, moved, stored, realized, supplied and used. Québec, CA.
Montreuil, B. (2011). Toward a physical internet: Meeting the global logistics sustainability grand
challenge. Logistics Research, 3(2–3), 71–87.
Pinedo, M. (2012). Scheduling: Theory, algorithms, and systems. New York: Springer.
Zanni, A. M., & Bristow, A. L. (2010). Energy Policy, 38(4), 1774.
56
Sh. Sharif Azadeh et al.
the horizontal collaboration compared to its counterpart, the individual scheduling,
in the world of Physical Internet. We have collaborated with several industrial
partners in this project within an EU project. We have been provided with real
case studies data which we used to evaluate our algorithms. According to our
numerical experiments, the importance and great potential of the horizontal collaboration is highlighted. In the last mile problem, the cost saving rate of the horizontal
collaboration can amount to 32%, and in the vehicle dispatching problem, the total
vehicle traveling cost can be reduced by 19% if deep collaborations among logistics
operators prevail. By reducing the number of empty vehicles circulating in the
network, a more sustainable logistic system can be obtained that minimizes environmental impact. We also show the positive effect of horizontal collaborations
between different service providers and distributors that make it possible to use
resources more efficiently.
References
Alonso-Mora, J., Samaranayake, S., Wallar, A., Frazzoli, E., & Rus, D. (2017). Proceedings of the
National Academy of Sciences, 114(3), 462.
Bates, O., Friday, A., Allen, J., Cherrett, T., McLeod, F., Bektas, T., Nguyen, T., Piecyk, M.,
Piotrowska, M., Wise, S., et al. (2018). Proceedings of the 2018 CHI Conference on Human
Factors in Computing Systems (p. 526). New York: ACM.
Bortfeldt, A. (2012). Computers & Operations Research, 39(9), 2248.
Campbell, A. M., & Savelsbergh, M. (2004). Transportation Science, 38(3), 369.
European Environmental Agency. (2018). Greenhouse gas emissions from transport. Technical
report.
Fanslau, T., & Bortfeldt, A. (2010). INFORMS Journal on Computing, 22(2), 222.
Gendreau, M., Iori, M., Laporte, G., & Martello, S. (2006). Transportation Science, 40(3), 342.
Gentile, G., & Noekel, K. (2016). Gewerbestrasse: Springer International Publishing.
Hifi, M., Kacem, I., Nègre, S., & Wu, L. (2010). Electronic Notes in Discrete Mathematics, 36, 993.
Landschützer, C., Ehrentraut, F., & Jodin, D. (2015). Logistics Research, 8(1), 8.
Levine, J., & Ducatelle, F. (2004). Journal of the Operational Research Society, 55(7), 705.
Martello, S., Pisinger, D., & Vigo, D. (2000). Operations Research, 48(2), 256.
Massen, F., Deville, Y., & Van Hentenryck, P. (2012). Integration of AI and OR techniques in
constraint programming for combinatorial optimization problems (pp. 260–274). Berlin:
Springer.
Montreuil, B. (2010). Physical internet manifesto V1. 7: Globally transforming the way physical
objects are handled, moved, stored, realized, supplied and used. Québec, CA.
Montreuil, B. (2011). Toward a physical internet: Meeting the global logistics sustainability grand
challenge. Logistics Research, 3(2–3), 71–87.
Pinedo, M. (2012). Scheduling: Theory, algorithms, and systems. New York: Springer.
Zanni, A. M., & Bristow, A. L. (2010). Energy Policy, 38(4), 1774.
56
Sh. Sharif Azadeh et al.