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Niels Agatz is Professor of Last-mile Supply Chain Analytics at the Rotterdam School of Management, Erasmus University, and Scientific Director of TKI Dinalog. His research focuses on improving last-mile supply chains through analytics, with a particular interest in technology and sustainability in urban logistics, shared mobility, and online (grocery) retailing. Professor Agatz actively collaborates with business stakeholders, bridging the gap between academia and industry. His research has been published in leading academic journals and featured in national and international media. He currently serves as an Associate Editor for Transportation Science. Niels Agatz's work has been recognized through grants and awards, including the NWO Rubicon Grant and the INFORMS TSL Stella Dafermos Achievement Award. He teaches courses on distribution networks, management science, and decision making. His academic background includes an MSc in Industrial Engineering from Eindhoven University of Technology and a PhD in Logistics and Operations Management from Rotterdam School of Management, Erasmus University. He has also held visiting positions at the School of Industrial Engineering at the Georgia Institute of Technology and the Department of Transportation and Logistics Engineering at the Pontifical Catholic University of Chile.

Publications

Academic (29)
  • Arslan, A., Agatz, N., & Srour, F. J. (2024). Model formulations for pickup and delivery problems in designated driver services. Computers and Operations Research, 164, Article 106547. https://doi.org/10.1016/j.cor.2024.106547

  • van der Hagen, L., Agatz, N., Spliet, R., Visser, T. R., & Kok, A. L. (2024). Machine Learning-Based Feasibility Checks for Dynamic Time Slot Management. Transportation Science, 58(1), 94-109. https://doi.org/10.1287/trsc.2022.1183

  • Azadeh, S. S., Spliet, R., Agatz, N., & Savelsbergh, M. (2023). Special Issue on 2021 TSL Workshop: Supply and Demand Interplay in Transport and Logistics. Transportation Science, 57(6), 1404-1405. https://doi.org/10.1287/trsc.2023.intro.v57.n6

  • Bhoopalam, A. K., van den Berg, R., Agatz, N., & Chorus, C. G. (2023). The long road to automated trucking: Insights from driver focus groups. Transportation Research Part C: Emerging Technologies, 156, Article 104351. https://doi.org/10.1016/j.trc.2023.104351

  • Waßmuth, K., Köhler, C., Agatz, N., & Fleischmann, M. (2023). Demand Management for Attended Home Delivery – A Literature Review. European Journal of Operational Research, 311(3), 801-815. https://doi.org/10.1016/j.ejor.2023.01.056

  • Bhoopalam, A. K., Agatz, N., & Zuidwijk, R. (2023). Platoon Optimization Based on Truck Pairs. INFORMS Journal on Computing, 1-19. https://doi.org/10.1287/ijoc.2020.0302

  • Azcuy, I., Agatz, N., & Giesen, R. (2021). Designing integrated urban delivery systems using public transport. Transportation Research Part E: Logistics and Transportation Review, 156, Article 102525. https://doi.org/10.1016/j.tre.2021.102525

  • Arslan, A. M., Agatz, N., & Klapp, M. A. (2021). Operational strategies for on-demand personal shopper services. Transportation Research Part C: Emerging Technologies, 130, Article 103320. https://doi.org/10.1016/j.trc.2021.103320

  • Agatz, N., Fan, Y., & Stam, D. (2021). The impact of green labels on time slot choice and operational sustainability. Production and Operations Management. https://doi.org/10.1111/poms.13368

  • Rasini, M., Agatz, N., & Tappia, E. (2020). Anticipatory Shipment for Pickup Point Supply. Omega, 93, 1-11. Article 102089. https://doi.org/10.1016/j.omega.2019.07.005

  • Agatz, N., Hewitt, M., & Thomas, BW. (2020). “Make no little plans”: Impactful research to solve the next generation of transportation problems. Networks, 77(2), 269-286. https://doi.org/10.1002/net.22002

  • Paul, J., Agatz, N., & Savelsbergh, M. (2019). Optimizing Omni-Channel Fulfillment with Store Transfers. Transportation Research. Part B, Methodological, 129, 381-396. https://doi.org/10.1016/j.trb.2019.10.002

  • Paul, J., Agatz, N., Spliet, R., & Koster, R. (2019). Shared Capacity Routing Problem ? An omni-channel retail study. European Journal of Operational Research, 273(2), 731-739. https://doi.org/10.1016/j.ejor.2018.08.027

  • Arslan, A., Agatz, N., Kroon, LG., & Zuidwijk, R. (2019). Crowdsourced Delivery -- A Dynamic Pickup and Delivery Problem with Ad-Hoc Drivers. Transportation Science, 53(1), 222-235. https://doi.org/10.1287/trsc.2017.0803

  • Bouman, P., Agatz, N., & Schmidt, M. (2018). Dynamic Programming Approaches for the Traveling Salesman Problem with Drone. Networks, 72(4), 528-542. https://doi.org/10.1002/net.21864

  • Agatz, N., Bouman, P., & Schmidt, M. (2018). Optimization Approaches for the Traveling Salesman Problem with Drone. Transportation Science, 52(4), 965-981. https://doi.org/10.1287/trsc.2017.0791

  • Wang, X., Agatz, N., & Erera, A. (2018). Stable Matching for Dynamic Ride-Sharing Systems. Transportation Science, 52(4), 850-867. https://doi.org/10.1287/trsc.2017.0768

  • Otto, A., Agatz, N., Campbell, J., Golden, B., & Pesch, E. (2018). Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey. Networks, 72(4), 411-458. https://doi.org/10.1002/net.21818

  • Stiglic, M., Agatz, N., Savelsbergh, M., & Gradisar, M. (2018). Enhancing Urban Mobility: Integrating Ride-sharing and Public Transit. Computers and Operations Research, 90, 12-21. https://doi.org/10.1016/j.cor.2017.08.016

  • Bhoopalam, A., Agatz, N., & Zuidwijk, R. (2017). Planning of truck platoons: A literature review and directions for future research. Transportation Research. Part B, Methodological, 107(January), 212-228. https://doi.org/10.1016/j.trb.2017.10.016

  • Srour, FJ., Agatz, N., & Oppen, J. (2016). Strategies for Handling Temporal Uncertainty in Pickup and Delivery Problems with Time Windows. Transportation Science, 52(1), 3-19. https://doi.org/10.1287/trsc.2015.0658

  • Stiglic, M., Agatz, N., Savelsbergh, M., & Gradisar, M. (2016). Making Dynamic Ride-sharing Work: The Impact of Driver and Rider Flexibility. Transportation Research. Part E, The Logistics and Transportation Review, 91, 190-207. https://doi.org/10.1016/j.tre.2016.04.010

  • Stiglic, M., Agatz, N., Savelsbergh, M., & Gradisar, M. (2015). The Benefits of Meeting Points in Ride-Sharing Systems. Transportation Research. Part B, Methodological, 82, 36-53. https://doi.org/10.1016/j.trb.2015.07.025

  • Agatz, N., Campbell, AM., Fleischmann, M., van Nunen, JAEE., & Savelsbergh, M. (2013). Revenue management opportunities for Internet retailers. Journal of Revenue and Pricing Management, 12(2), 128-138. https://doi.org/10.1057/rpm.2012.51

  • Agatz, N., Erera, A., Savelsbergh, M., & Wang, X. (2012). Optimization for Dynamic Ride-Sharing: A Review. European Journal of Operational Research, 223(2), 295-303. https://doi.org/10.1016/j.ejor.2012.05.028

  • Agatz, N., Campbell, AM., Fleischmann, M., & Savelsbergh, M. (2011). Time Slot Management in Attended Home Delivery. Transportation Science, 45(3), 435-449. https://doi.org/10.1287/trsc.1100.0346

  • Agatz, N., Erera, A., Savelsbergh, M., & Wang, X. (2011). Dynamic Ride-Sharing: A Simulation Study in Metro Atlanta. Transportation Research. Part B, Methodological, 45(9), 1450-1464. https://doi.org/10.1016/j.trb.2011.05.017

  • Agatz, N., Fleischmann, M., & van Nunen, JAEE. (2008). E-fulfillment and multi-channel distribution - A review. European Journal of Operational Research, 187(2), 339-356. https://doi.org/10.1016/j.ejor.2007.04.024

  • Agatz, N., Campbell, A. M., Fleischmann, M., & Savelsbergh, M. (2008). Challenges and opportunities in attended home delivery. Operations Research/ Computer Science Interfaces Series, 43, 379-396. https://doi.org/10.1007/978-0-387-77778-8_17

Popular (1)
  • Agatz, N., Campbell, AM., Fleischmann, M., van Nunen, JAEE., & Savelsbergh, M. (2008). What E-Tailers Can Learn From Airline Pricing. Unknown.

Professional (5)

Academic (1)
  • Agatz, N., Campbell, AM., Fleischmann, M., & Savelsbergh, M. (2008). Challenges and Opportunities in Attended Home Delivery. In B. Golden, R. Raghavan, & E. Wasil (Eds.), The Vehicle Routing Problem: Latest Advances and New Challenges (pp. 370-396). Springer-Verlag.

Academic (1)
  • Agatz, N., Bazzan, A. L. C., Kutadinata, R., Mattfeld, D. C., Sester, M., Winter, S., & Wolfson, O. (2016). Autonomous car and ride sharing: Flexible road trains. GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems. https://doi.org/10.1145/2996913.2996947

Internal (1)
  • Agatz, N. (2009). Demand management in E-fulfillment. [Doctoral Thesis, Erasmus University Rotterdam]. Erasmus University Rotterdam (EUR).

Academic (4)
  • Agatz, N., Cho, S. H., Wang, H., & Benjaafar, S. (2023). Introduction to the Special Issue on Innovation in Transportation-Enabled Urban Services, Part 1. Service Science, 15(1), 1-2. https://doi.org/10.1287/serv.2023.0317

  • Agatz, N., & Campbell, JF. (2018). Preface: Special issue on Drone Delivery Systems. Networks, 72(4), 409-410. https://doi.org/10.1002/net.21863

  • Pel, J., Agatz, N., Macharis, C., & Veelenturf, L. (2018). Technologies and control for sustainable transportation. Transportation Research Part C: Emerging Technologies, 86, 168-170. https://doi.org/10.1016/j.trc.2017.11.006

  • Agatz, N., & Pel, A. (2018). Introduction to the Special Section: TRISTAN IX. Transportation Science, 52(6), 1297-1298. https://doi.org/10.1287/trsc.2018.0877

Popular (1)
  • Agatz, N. (2023). Everything at your doorstep - is the last mile the longest? Address delivered at the occasion of accepting the appointment as Professor of last-mile supply chain analytics at the Rotterdam School of Management. Erasmus University Rotterdam (EUR). ERIM Inaugural Address Series Research in Management

Academic (1)
  • Transportation Science (Journal)

    Editorial work (Academic)

Courses

Supply Chain Fundamentals

  • Study year: 2023/2024, 2022/2023, 2021/2022
  • Code: BM01SCM
  • Level: ERIM, Exchange, IM/CEMS, Master

Distribution Networks

  • Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021
  • Code: BM06SCM
  • Level: ERIM, Exchange, IM/CEMS, Master

SCM Master Thesis

  • Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021
  • Code: BMMTSCM
  • Level: Master

Supply Chain Decision Analytics

  • Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2017/2018, 2016/2017, 2015/2016
  • Code: BMRM1SCM
  • Level: Master

OLD STYLE - Research Methods and Skills

  • Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021
  • Code: BMRM3SCM
  • Level: Master

Past courses

SCM Company-based Research Project

  • Study year: 2022/2023, 2021/2022, 2020/2021
  • Code: BMBPSCM
  • Level: Master

SCM Honours Class

  • Study year: 2022/2023, 2020/2021, 2019/2020, 2018/2019
  • Code: BMHONSCM
  • Level: Master

OE1,Operational Excellence

  • Study year: 2021/2022, 2020/2021, 2019/2020, 2018/2019, 2017/2018
  • Code: BMA3205
  • ECTS: 6

OE2, Majorgebonden Methodologie Seminars

  • Study year: 2021/2022, 2020/2021, 2019/2020, 2018/2019
  • Code: BMA3206
  • ECTS: 2

OLD STYLE - Distribution Networks

  • Study year: 2021/2022, 2020/2021, 2019/2020
  • Code: BM03SCM
  • ECTS: 4 Level: Master

Decision theory

  • Study year: 2020/2021
  • Code: BK1215
  • Level: Bachelor 1

Pricing and Revenue Management

  • Study year: 2020/2021, 2019/2020, 2018/2019, 2016/2017, 2015/2016
  • Code: BMME072
  • ECTS: 6 Level: Master, Master, Master, Master, Master

Quantitative Decision Making

  • Study year: 2020/2021
  • Code: BT1215
  • Level: Bachelor 1, Bachelor 2, Pre-master

Decision theory

  • Study year: 2019/2020
  • Code: BK1115
  • Level: Bachelor 1

Quantitative Decision Making

  • Study year: 2019/2020
  • Code: BT1115
  • Level: Bachelor 1, Bachelor 2, Pre-master

Closed-loop Supply Chains

  • Study year: 2018/2019
  • Code: BMME068
  • ECTS: 6 Level: Master

Advances in SCM

  • Study year: 2017/2018
  • Code: BMHON-SCM-A
  • ECTS: 4 Level: Master

Advances in SCM

  • Study year: 2017/2018
  • Code: BMHONSCM-A
  • ECTS: 6 Level: Master

Decision theory

  • Study year: 2017/2018, 2016/2017, 2015/2016, 2014/2015
  • Code: BKB006
  • ECTS: 5 Level: Bachelor 1

Research Methodology and Design

  • Study year: 2015/2016
  • Code: BMRM2SCM
  • ECTS: 3 Level: Master

Pricing and revenue management

  • Study year: 2014/2015
  • Code: RSMME067
  • ECTS: 6 Level: Master, Master

Research methods and skills I

  • Study year: 2014/2015
  • Code: RSMRM1SCM
  • ECTS: 3 Level: Master

Research methods and skills II

  • Study year: 2014/2015
  • Code: RSMRM2SCM
  • ECTS: 3 Level: Master

Featured in the media

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    Niels Agatz, associate Professor at RSM, has signed a letter to the cabinet regarding the insufficient calculations of the climate damage caused by future Lelystad airport and the expansion of Schiphol and other airports is…

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    Last-mile delivery is critical for e-commerce success, and companies are rushing to come up with innovative solutions in the quest to win over the customer, right on the doorstep. “I'm working on a concept that combines a truck…

  • Zeven consortia bezig met 'Complexiteit in Transport en Logistiek'

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  • LIVE: Rodetafelgesprek Tweede Kamer over uitbuiting transport

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  • Omoda is Logistieke Webshop van het Jaar

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  • Van klant tot postbode

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  • Rotterdamse klanten gaan bestellingen thuis afleveren

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  • Onderzoekers: buur is pakketbezorger van de toekomst

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