Dr D. (Debjit) Roy

Rotterdam School of Management (RSM)
Erasmus University Rotterdam
Member ERIM
Field: Logistics & Information Systems
Affiliated since 2017

Publications

  • Academic (40)
    • de Vries, J., & Roy, D. (2024). Cut the scrap? the impact of truck age on driver retention, driving safety, and driving productivity. Flexible Services and Manufacturing Journal. https://doi.org/10.1007/s10696-024-09569-3

    • Raj, G., Roy, D., de Koster, R., & Bansal, V. (2024). Stochastic modeling of integrated order fulfillment processes with delivery time promise: Order picking, batching, and last-mile delivery. European Journal of Operational Research, 316(3), 1114-1128. https://doi.org/10.1016/j.ejor.2024.03.003

    • Pasparakis, A., de Vries, J., de Koster, R., & Roy, D. (2024). In the driver’s seat: the role of transformational leadership in safe and productive truck cargo transport. Flexible Services and Manufacturing Journal. Advance online publication. https://doi.org/10.1007/s10696-024-09539-9

    • Azadeh, K., Roy, D., de Koster, R., & Ghorashi Khalilabadi, M. (2023). Zoning Strategies for Human-Robot Collaborative Picking. Decision Sciences. https://doi.org/10.1111/deci.12620

    • Gharehgozli, A., Roy, D., Saini, S., & van Ommeren, J.-K. (2023). Loading and unloading trains at the landside of container terminals. Maritime Economics and Logistics, 25(3), 549-575. https://doi.org/10.1057/s41278-022-00219-9

    • Gorman, M. F., Clarke, J.-P., de Koster, R., Hewitt, M., Roy, D., & Zhang, M. (2023). Emerging practices and research issues for big data analytics in freight transportation. Maritime Economics and Logistics, 25(1), 28-60. https://doi.org/10.1057/s41278-023-00255-z

    • Roy, D., Spiliotopoulou, E., & de Vries, J. (2022). Restaurant analytics: Emerging practice and research opportunities. Production and Operations Management, 31(10), 3687-3709. https://doi.org/10.1111/poms.13809

    • Lamballais, T., Merschformann, M., Roy, D., de Koster, M. B. M., Azadeh, K., & Suhl, L. (2022). Dynamic policies for resource reallocation in a robotic mobile fulfillment system with time-varying demand. European Journal of Operational Research, 300(3), 937-952. https://doi.org/10.1016/j.ejor.2021.09.001

    • Roy, D., Van Ommeren, J.-K., de Koster, R., & Gharehgozli, A. (2022). Modeling landside container terminal queues: Exact analysis and approximations. Transportation Research Part B: Methodological, 162, 73-102. https://doi.org/10.1016/j.trb.2022.05.012

    • Dong, Y., de Koster, R., Roy, D., & Yu, Y. (2022). Dynamic Vehicle Allocation Policies for Shared Autonomous Electric Fleets. Transportation Science, 56(5), 1238-1258. https://doi.org/10.1287/trsc.2021.1115

    • Bansal, V., & Roy, D. (2021). Stochastic modeling of multiline orders in integrated storage?order picking system. Naval Research Logistics. https://doi.org/10.1002/nav.21978

    • Kandula, S., Krishnamoorthy, S., & Roy, D. (2021). A prescriptive analytics framework for efficient E-commerce order delivery. Decision Support Systems, 147, Article 113584. https://doi.org/10.1016/j.dss.2021.113584

    • Bansal, V., Roy, D., & Pazour, JA. (2021). Performance analysis of batching decisions in waveless order release environments for e?commerce stock?to?picker order fulfillment. International Transactions in Operational Research, 28(4), 1787-1820. https://doi.org/10.1111/itor.12921

    • Lal Kumawat, G., Roy, D., de Koster, R., & Adan, IJBF. (2021). Stochastic Modeling of Parallel Process Flows in Intra-logistics Systems: Applications in Container Terminals and Compact Storage Systems. European Journal of Operational Research, 290(1), 159-176. https://doi.org/10.1016/j.ejor.2020.08.006

    • Kumawat, GL., & Roy, D. (2021). A new solution approach for multi-stage semi-open queuing networks: An application in shuttle-based compact storage systems. Computers and Operations Research, 125. https://doi.org/10.1016/j.cor.2020.105086

    • De Koster, R., Roy, D., Lim, YF., & Kumar, S. (2021). Special Issue of Production and Operations Management Journal “Managing Autonomous and IoT-driven Intralogistics Operations”. Production and Operations Management, 30(1), 293-294. https://doi.org/10.1111/poms.13372

    • Kumawat, GL., & Roy, D. (2020). AGV or Lift-AGV? Performance trade-offs and design insights for container terminals with robotized transport vehicle technology. IISE Transactions, 53(7), 751-769. https://doi.org/10.1080/24725854.2020.1785648

    • Lamballais Tessensohn, T., Roy, D., & Koster, R. (2020). Inventory Allocation in Robotic Mobile Fulfillment Systems. IISE Transactions, 52(1), 1-17. https://doi.org/10.1080/24725854.2018.1560517

    • Roy, D., Koster, R., & Bekker, R. (2020). Modeling and Design of Container Terminal Operations. Operations Research, 68(3), 686-715. https://doi.org/10.1287/opre.2019.1920

    • Azadeh, K., Koster, R., & Roy, D. (2019). Design, Modeling, and Analysis of Vertical Robotic Storage and Retrieval Systems. Transportation Science, 53(5), 1213-1234. https://doi.org/10.1287/trsc.2018.0883

    • Azadeh, K., Koster, R., & Roy, D. (2019). Robotized and Automated Warehouse Systems: Review and Recent Developments. Transportation Science, 53(4), 917-945. https://doi.org/10.1287/trsc.2018.0873

    • Tappia, E., Roy, D., Melacini, M., & Koster, R. (2019). Integrated Storage-order Picking Systems: Technology, Performance Models, and Design Insights. European Journal of Operational Research, 274, 947-965. https://doi.org/10.1016/j.ejor.2018.10.048

    • Roy, D., Nigam, SK., Koster, R., Adan, IJBF., & Resing, JAC. (2019). Robot-Storage Zone Assignment Strategies in Mobile Fulfillment Systems. Transportation Research. Part E, The Logistics and Transportation Review, 122, 119-142. https://doi.org/10.1016/j.tre.2018.11.005

    • Roy, D., & Ravikumaran, V. (2019). An Extensive Evaluation of CONWIP-Card Controlled and Scheduled Start Time Based Production System Designs. Journal of Manufacturing Systems, 50, 119-134. https://doi.org/10.1016/j.jmsy.2018.12.006

    • Vries, J., Roy, D., & Koster, R. (2018). Worth the wait? How restaurant waiting time influences customer behavior and revenue. Journal of Operations Management, 63, 59-78. https://doi.org/10.1016/j.jom.2018.05.001

    • Roy, D., & Koster, R. (2018). Stochastic Modeling of Unloading and Loading Operations at a Container Terminal using Automated Lifting Vehicles. European Journal of Operational Research, 266(3), 895-910. https://doi.org/10.1016/j.ejor.2017.10.031

    • Mofidi, SS., Pazour, J., & Roy, D. (2018). Proactive vs. Reactive Order-Fulfillment Resource Allocation for Sea-based Logistics. Transportation Research. Part E, The Logistics and Transportation Review, 114(June), 66-84. https://doi.org/10.1016/j.tre.2018.02.012

    • Kumar, A., Roy, D., Verter, V., & Sharma, D. (2018). Integrated Fleet Mix and Routing Decision for Hazmat Transportation: A Developing Country Perspective. European Journal of Operational Research, 264(1), 225-238. https://doi.org/10.1016/j.ejor.2017.06.012

    • Dhingra, V., Roy, D., Lal Kumawat, G., & Koster, R. (2017). Solving Semi-open Queuing Networks with Time-varying Arrivals: An Application in Container Terminal Landside Operations. European Journal of Operational Research, 267(3), 855-876. https://doi.org/10.1016/j.ejor.2017.12.020

    • Gupta, A., Roy, D., de Koster, R., & Parhi, S. (2017). Optimal Stack Layout in a Sea Container Terminal with Automated Lifting Vehicles. International Journal of Production Research, 55(13), 3747-3765. https://doi.org/10.1080/00207543.2016.1273561

    • Lamballais Tessensohn, T., Roy, D., & de Koster, R. (2017). Estimating Performance in a Robotic Mobile Fulfillment System. European Journal of Operational Research, 256(3), 976-990. https://doi.org/10.1016/j.ejor.2016.06.063

    • de Vries, J., de Koster, R., Rijsdijk, S., & Roy, D. (2017). Determinants of Safe and Productive Truck Driving: Empirical Evidence from Long-haul Cargo Transport. Transportation Research. Part E, The Logistics and Transportation Review, 97, 113-131. https://doi.org/10.1016/j.tre.2016.11.003

    • Saini, S., Roy, D., & de Koster, R. (2017). A Stochastic Model for the Throughput Analysis of Passing Dual Yard Cranes. Computers and Operations Research, 87(November), 40-51. https://doi.org/10.1016/j.cor.2017.05.012

    • de Koster, R., Johnson, AL., & Roy, D. (2017). Warehouse design and management. International Journal of Production Research, 55(21), 6327-6330. https://doi.org/10.1080/00207543.2017.1371856

    • Tappia, E., Roy, D., de Koster, R., & Melacini, M. (2016). Modeling, Analysis, and Design Insights for Shuttle-based Compact Systems. Transportation Science, 51(1), 269-304. https://doi.org/10.1287/trsc.2016.0699

    • Roy, D., Gupta, A., & de Koster, R. (2016). A non-linear traffic flow-based queuing model to estimate container terminal throughput with AGVs. International Journal of Production Research, 54(2), 472-493. https://doi.org/10.1080/00207543.2015.1056321

    • Roy, D., Dhingra, V., & de Koster, R. (2015). A Cooperative Quay Crane-based Stochastic Model to Estimate Vessel Handling Time. Flexible Services and Manufacturing Journal, 29(1), 97-124. https://doi.org/10.1007/s10696-015-9225-3

    • Gharehgozli, A., Roy, D., & de Koster, R. (2015). Sea container terminals: New technologies and OR models. Maritime Economics and Logistics, 18(2), 103-140. https://doi.org/10.1057/mel.2015.3

    • Gorman, MF., Clarke, JP., Gharehgozli, A., Hewitt, M., de Koster, R., & Roy, D. (2014). State of the Practice: A Review of the Application of OR/MS in Freight Transportation. Interfaces, 44(6), 535-554. https://doi.org/10.1287/inte.2014.0772

    • Pazour, J., Roy, D., & de Koster, R. (2014). A Novel Approach for Designing Rental Vehicle Repositioning Strategies. IISE Transactions, 46(9), 948-967. https://doi.org/10.1080/0740817X.2013.876129

  • Professional (1)
    • de Vries, J., & Roy, D. (2020). Customer loyalty and queuing: was it worth the wait? RSM Discovery, (37), 15. Article 3.

  • Academic (5)
    • Roy, D., & de Koster, R. (2020). Optimal Stack Layout Configurations at Automated Container Terminals Using Queuing Network Models. In J. Boese (Ed.), Handbook of Terminal Planning (pp. 437-461). Springer-Verlag. https://doi.org/10.1007/978-3-030-39990-0_19

    • Azadeh, K., Roy, D., & de Koster, I. R. (2019). Dynamic cobot order picking strategies for a pick-support AGV system. In IISE Annual Conference and Expo 2019 Article 967818 Institute of Industrial and Systems Engineers, IISE.

    • Nigam, SK., Roy, D., de Koster, R., & Adan, IJBF. (2014). Analysis of class-based storage strategies for the mobile shelf-based order pick system. In J. Smith, K. Ellis, M. B. M. De Koster, S. . Lavender, B. Montreuil, & M. Ogle (Eds.), Progress in Material Handling Research 2014 (Vol. 2014, pp. 1-9). CICMHE.

    • Roy, D., & de Koster, R. (2013). Optimal design of container terminal layout. In A. Carrano, K. de Gue, M. B. M. de Koster, M. Ogle, B. Montreuil, & J. Smith (Eds.), Progress in Material Handling Research: 2012 (pp. 487-497). MHI.

    • Roy, D., & de Koster, R. (2013). Optimal design of container terminal layout. In B. Kuipers, & R. Zuidwijk (Eds.), Smart Port Perspectives. Essays in honour of Hans Smits (pp. 129-140). Erasmus University Rotterdam (EUR).

  • Academic (1)
    • Ghorashi Khalilabadi, M., Roy, D., & de Koster, R. (2022). A Data-driven Approach to Enhance Worker Productivity by Optimizing Facility Layout. ERIM Report Series Research in Management. ERIM Report Series in Management No. ERS-2022-003-LIS http://hdl.handle.net/1765/137111

Optimizing the Performance of Robotic Mobile Fulfillment Systems
  • Role: Co-promotor
  • PhD Candidate: Tim Lamballais Tessensohn
  • Time frame: 2012 - 2019
Robotized Warehouses: Design and Performance Analysis
  • Role: Daily Supervisor
  • PhD Candidate: Kaveh Azadeh
  • Time frame: 2014 - 2021
Sharehouse: Human-Technology interaction in warehouse environments
  • Role: Co-promotor
  • PhD Candidate: Seyyed Mahdi Ghorashi Khalilabadi
  • Time frame: 2020 -

Address

Visiting address

Office: Mandeville Building T09-12
Burgemeester Oudlaan 50
3062 PA Rotterdam

Postal address

Postbus 1738
3000 DR Rotterdam
Netherlands