Abstract
The aim of this article is to overview the transition of smart logistic companies towards the Industry 4.0. Industry 4.0 is a generic concept that subscribes to the idea of a general awareness of the importance of new technologies for the manufacturing industry. This reflection aims to conserve and develop a strong and innovative industrial activity to support the modernization of different fields. In the case of high volumes service companies, many reasons have led to this modernization; remarkable increase in the volume of items to deliver, complexity of managing the transportation system and the personnel scheduling, humanization of work conditions, etc. In this work, The French postal service company, La Poste, is given as a particular case of study. La Poste daily treats high volumes of mail and parcel items. In this article, the organization of the French postal service system from the collect to the delivery is explicitly described. A literature review of different concerned research axes is presented. Finally, we present what we think are the future needs for researches in these axes.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Lu, Y., Ju, F.: Smart manufacturing systems based on cyber-physical manufacturing services (CPMS). IFAC Pap. 50, 15883–15889 (2017)
Droździel, P., Wińska, M., Madleňák, R., Szumski, P.: Optimization of the post logistics network and location of the local distribution center in selected area of the Lublin province. Procedia Eng. 192, 130–135 (2017)
López, J.A.V., Dueñas, A.B.P., Ruiz, R.J.L., Córdoba, S.M.: System optimization courier and parcel in cities. Procedia Soc. Behav. Sci. 160, 577–586 (2014)
Boloukian, R., Siegmann, J.: Urban Logistics; a key for the airport-centric development—a review on development approaches and the role of urban logistics in comprehensive airport-centric planning. Transp. Resour. Procedia 12, 800–811 (2016)
Sim, T., Lowe, T.J., Thomas, B.W.: The stochastic p-hub center problem with service-level constraints. Comput. Oper. Res. 36, 3166–3177 (2009)
Zäpfel, G., Bögl, M.: Multi-period vehicle routing and crew scheduling with outsourcing options. Int. J. Prod. Econ. 113, 980–996 (2008)
Niroomand, I., Nsakanda, A.L.: Improving collection flows in a public postal network with contractor’s obligation considerations. Int. J. Prod. Econ. 198, 79–92 (2018)
Chen, C., Pan, S.: Using the crowd of taxis to last mile delivery in e-commerce: a methodological research. In: Borangiu, T., Trentesaux, D., Thomas, A., McFarlane, D. (eds.) Service orientation in Holonic and Multi-Agent Manufacturing. Studies in Computational Intelligence, vol. 640. Springer, Cham (2015)
Clausen, U., Geiger, C., Pöting, M.: Hands-on testing of last mile concepts. Transp. Res. Procedia 14, 1533–1542 (2016)
Devari, A., Nikolaev, A.G., He, Q.: Crowdsourcing the last mile delivery of online orders by exploiting the social networks of retail store customers. Transp. Res. Part E Logist. Transp. Rev. 105, 105–122 (2017)
Cesar, M., Shinghal, R.: An algorithm for segmenting handwritten postal codes. Int. J. Man-Mach. Stud. 33, 63–80 (1990)
Ciresan, D.C., Meier, U., Gambardella, L.M., Schmidhuber, J.: Deep big simple neural nets excel on handwritten digit recognition. Neural Comput. 22, 3207–3220 (2010)
Niu, X.-X., Suen, C.Y.: A novel hybrid CNN–SVM classifier for recognizing handwritten digits. Pattern Recogn. 45, 1318–1325 (2012)
Basu, S., Das, N., Sarkar, R., Kundu, M., Nasipuri, M., Kumar Basu, D.: A novel framework for automatic sorting of postal documents with multi-script address blocks. Pattern Recogn. 43, 3507–3521 (2010)
Kamranian, Z., Monadjemi, S.A., Nematbakhsh, N.: A novel free format Persian/Arabic handwritten zip code recognition system. Comput. Electr. Eng. 39, 1970–1979 (2013)
Basu, S., Sarkar, R., Das, N., Kumar Basu, D.: Handwritten bangla digit recognition using classifier combination through DS technique. Lecture Notes in Computer Science, vol. 3776, pp. 236–241 (2005)
Srihari, S.N.: Recognition of handwritten and machine-printed text for postal address interpretation. Pattern Recogn. Lett. 14, 291–302 (1993)
Bard, J.F., Binici, C., deSilva, A.H.: Staff scheduling at the United States postal service. Comput. Oper. Res. 30, 745–771 (2003)
Burns, R.N., Carter, M.W.: Work force size and single shift schedules with variable demands. Manag. Sci. 31, 599–607 (1985)
Aykin, T.: Optimal shift scheduling with multiple break windows. Manag. Sci. 42, 591–602 (1996)
Emmons, H.: Work-force scheduling with cyclic requirements and constraints on days off, weekends off, and work stretch. IIE Trans. 17, 8–16 (1985)
Júdice, J., Martins, P., Nunes, J.: Workforce planning in a lot sizing mail processing problem. Comput. Oper. Res. 32, 3031–3058 (2005)
Malhotra, M.K., Ritzman, L.P., Benton, W.C., Keong Leong, G.: A model for scheduling postal distribution employees. Eur. J. Oper. Res. 58, 374–385 (1992)
Rabta, B., Wankmüller, C., Reiner, G.: A drone fleet model for last-mile distribution in disaster relief operations. Int. J. Disaster Risk Reduct. 28, 107–112 (2018)
Zhang, X., Yue, S., Wang, W.: The review of RFID applications in global postal and courier services. J. China Univ. Posts Telecommun. 13, 106–110 (2006)
Barreto, L., Amaral, A., Pereira, T.: Industry 4.0 implications in logistics: an overview. Procedia Manuf. 13, 1245–1252 (2017)
Leitão, P., Rodrigues, N., Barbosa, J., Turrin, C., Pagani, A.: Intelligent products: the grace experience. Control Eng. Pract. 42, 95–105 (2015)
Trentesaux, D., Thomas, A.: Product-driven control: concept, literature review and future trends. In: Borangiu, T., Thomas, A., Trentesaux, D. (eds.) Service Orientation in Holonic and Multi Agent Manufacturing and Robotics, pp. 135–150. Springer, Berlin (2013)
Chalfoun, I., Kouiss, K., Huyet, A.-L., Bouto, N., Ray, P.: Proposal for a generic model dedicated to reconfigurable and agile manufacturing systems (RAMS). Procedia CIRP 7, 485–490 (2013)
Cardin, O., Ounnar, F., Thomas, A., Trentesaux, D.: Future industrial systems: best practices of the intelligent manufacturing and services systems (IMS2) French Research Group. IEEE Trans. Ind. Inform. 13, 704–713 (2017)
Witkowski, K.: Internet of things, big data, Industry 4.0—innovative solutions in logistics and supply chains management. Procedia Eng. 182, 763–769 (2017)
Hofmann, E., Rüsch, M.: Industry 4.0 and the current status as well as future prospects on logistics. J. Comput. Ind. 89, 23–34 (2017)
García-Domínguez, A., Marcos-Bárcena, M., Medina-Bulo, I., Prades-Martell, L.: Towards an integrated SOA-based architecture for interoperable and responsive manufacturing systems. Procedia Eng. 63, 123–132 (2013)
Uhlemann, T.-J., Lehmann, C., Steinhilper, R.: The digital twin: realizing the cyber-physical production system for Industry 4.0. Procedia CIRP 61, 335–340 (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Selma, C., Tamzalit, D., Mebarki, N., Cardin, O., Bruggeman, L., Thiériot, D. (2019). Industry 4.0 and Service Companies: The Case of the French Postal Service. In: Borangiu, T., Trentesaux, D., Thomas, A., Cavalieri, S. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing. SOHOMA 2018. Studies in Computational Intelligence, vol 803. Springer, Cham. https://doi.org/10.1007/978-3-030-03003-2_34
Download citation
DOI: https://doi.org/10.1007/978-3-030-03003-2_34
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03002-5
Online ISBN: 978-3-030-03003-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)