The multi-period service territory design problem – An introduction, a model and a heuristic approach
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DOI: 10.1016/j.tre.2016.09.007
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Cited by:
- Zhen, Lu & Gao, Jiajing & Tan, Zheyi & Laporte, Gilbert & Baldacci, Roberto, 2023. "Territorial design for customers with demand frequency," European Journal of Operational Research, Elsevier, vol. 309(1), pages 82-101.
- Song, Ruidian & Zhao, Lei & Van Woensel, Tom & Fransoo, Jan C., 2019. "Coordinated delivery in urban retail," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 122-148.
- Antonio Diglio & Stefan Nickel & Francisco Saldanha-da-Gama, 2020. "Towards a stochastic programming modeling framework for districting," Annals of Operations Research, Springer, vol. 292(1), pages 249-285, September.
- Zhou, Lin & Zhen, Lu & Baldacci, Roberto & Boschetti, Marco & Dai, Ying & Lim, Andrew, 2021. "A Heuristic Algorithm for solving a large-scale real-world territory design problem," Omega, Elsevier, vol. 103(C).
- Bender, Matthias & Kalcsics, Jörg & Nickel, Stefan & Pouls, Martin, 2018. "A branch-and-price algorithm for the scheduling of customer visits in the context of multi-period service territory design," European Journal of Operational Research, Elsevier, vol. 269(1), pages 382-396.
- Li, Yifu & Zhou, Chenhao & Yuan, Peixue & Ngo, Thi Tu Anh, 2023. "Experience-based territory planning and driver assignment with predicted demand and driver present condition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
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Keywords
Territory design; Multi-period planning horizon; Mixed integer linear programming; Location-allocation heuristic;All these keywords.
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