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Modelling and solution approaches for the interconnected city logistics

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  • Imen Ben Mohamed
  • Walid Klibi
  • Olivier Labarthe
  • Jean-Christophe Deschamps
  • Mohamed Zied Babai

Abstract

Achieving a sustainable delivery of goods in urban areas has become a challenging task for service providers and logistics managers. Under this context, the physical internet (PI) Manifesto offers through its emergent concept of interconnected city logistics (ICL) a solution toward a more sustainable transportation of PI containers within cities. In this article, we explore the operational urban transportation problem of PI containers under ICL considerations. For this variant, built on the multiplicity of urban logistics centres and their interconnection, a comprehensive modelling approach is proposed to include key features such as multiple time periods, multi-zone urban coverage, heterogeneous fleets, multi-trip and multi-hub pickups, and delivery constraints. In order to deal with solvability issues encountered with realistic instances of the problem, a heuristic solution approach is developed. This is done with the objective to come up with solutions offering the best trade-offs between economic and ecological attributes within a short computational time. To validate the approach, a realistic set of instances is built with data inspired from city freight movements in an urban area in France. Using these experiments, the solvability of the model and the performance of our heuristic approach are discussed and managerial insights are derived.

Suggested Citation

  • Imen Ben Mohamed & Walid Klibi & Olivier Labarthe & Jean-Christophe Deschamps & Mohamed Zied Babai, 2017. "Modelling and solution approaches for the interconnected city logistics," International Journal of Production Research, Taylor & Francis Journals, vol. 55(9), pages 2664-2684, May.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:9:p:2664-2684
    DOI: 10.1080/00207543.2016.1267412
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    References listed on IDEAS

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    1. Toh, K.T.K. & Nagel, P. & Oakden, R., 2009. "A business and ICT architecture for a logistics city," International Journal of Production Economics, Elsevier, vol. 122(1), pages 216-228, November.
    2. Koç, Çağrı & Bektaş, Tolga & Jabali, Ola & Laporte, Gilbert, 2016. "Thirty years of heterogeneous vehicle routing," European Journal of Operational Research, Elsevier, vol. 249(1), pages 1-21.
    3. Michael Schneider & Andreas Stenger & Dominik Goeke, 2014. "The Electric Vehicle-Routing Problem with Time Windows and Recharging Stations," Transportation Science, INFORMS, vol. 48(4), pages 500-520, November.
    4. Schneider, M. & Stenger, A. & Goeke, D., 2014. "The Electric Vehicle Routing Problem with Time Windows and Recharging Stations," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 62382, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Laporte, Gilbert, 1992. "The vehicle routing problem: An overview of exact and approximate algorithms," European Journal of Operational Research, Elsevier, vol. 59(3), pages 345-358, June.
    6. M. W. P. Savelsbergh & M. Sol, 1995. "The General Pickup and Delivery Problem," Transportation Science, INFORMS, vol. 29(1), pages 17-29, February.
    7. Pillac, Victor & Gendreau, Michel & Guéret, Christelle & Medaglia, Andrés L., 2013. "A review of dynamic vehicle routing problems," European Journal of Operational Research, Elsevier, vol. 225(1), pages 1-11.
    8. Stefan Ropke & David Pisinger, 2006. "An Adaptive Large Neighborhood Search Heuristic for the Pickup and Delivery Problem with Time Windows," Transportation Science, INFORMS, vol. 40(4), pages 455-472, November.
    9. Teodor Gabriel Crainic & Nicoletta Ricciardi & Giovanni Storchi, 2009. "Models for Evaluating and Planning City Logistics Systems," Transportation Science, INFORMS, vol. 43(4), pages 432-454, November.
    10. Martin Savelsbergh & Tom Van Woensel, 2016. "50th Anniversary Invited Article—City Logistics: Challenges and Opportunities," Transportation Science, INFORMS, vol. 50(2), pages 579-590, May.
    11. Teodor Gabriel Crainic & Fausto Errico & Walter Rei & Nicoletta Ricciardi, 2016. "Modeling Demand Uncertainty in Two-Tier City Logistics Tactical Planning," Transportation Science, INFORMS, vol. 50(2), pages 559-578, May.
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    2. Nguyen, Tiep & Duong, Quang Huy & Nguyen, Truong Van & Zhu, You & Zhou, Li, 2022. "Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 244(C).
    3. Büyüközkan, Gülçin & Ilıcak, Öykü, 2022. "Smart urban logistics: Literature review and future directions," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    4. Shoufeng Ji & Pengyun Zhao & Tingting Ji, 2023. "A Hybrid Optimization Method for Sustainable and Flexible Design of Supply–Production–Distribution Network in the Physical Internet," Sustainability, MDPI, vol. 15(7), pages 1-34, April.
    5. Milovan Kovač & Snežana Tadić & Mladen Krstić & Miloš Veljović, 2023. "A Methodology for Planning City Logistics Concepts Based on City-Dry Port Micro-Consolidation Centres," Mathematics, MDPI, vol. 11(15), pages 1-21, July.
    6. Faugère, Louis & Klibi, Walid & White, Chelsea & Montreuil, Benoit, 2022. "Dynamic pooled capacity deployment for urban parcel logistics," European Journal of Operational Research, Elsevier, vol. 303(2), pages 650-667.
    7. Orenstein, Ido & Raviv, Tal, 2022. "Parcel delivery using the hyperconnected service network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    8. Sergey Evgenievich Barykin & Anna Viktorovna Strimovskaya & Sergey Mikhailovich Sergeev & Larisa Nikolaevna Borisoglebskaya & Natalia Dedyukhina & Igor Sklyarov & Julia Sklyarova & Lilya Saychenko, 2023. "Smart City Logistics on the Basis of Digital Tools for ESG Goals Achievement," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    9. Li, Ming & Shao, Saijun & Li, Yang & Zhang, Hua & Zhang, Nianwu & He, Yandong, 2022. "A Physical Internet (PI) based inland container transportation problem with selective non-containerized shipping requests," International Journal of Production Economics, Elsevier, vol. 245(C).
    10. Kim, Nayeon & Montreuil, Benoit & Klibi, Walid & Kholgade, Nitish, 2021. "Hyperconnected urban fulfillment and delivery," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).

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