default author photo

Daniel Merchan

Amazon.com, Inc.

Seattle, WA 98144

United States

SCHOLARLY PAPERS

7

DOWNLOADS

0

TOTAL CITATIONS

0

Scholarly Papers (7)

Actions:
Email selected abstracts
1.

Quantifying the Impact of Urban Road Networks on the Efficiency of Local Trips

MIT Center for Transportation & Logistics Research Paper No. 2020/009, Transportation Research Part A: Policy and Practice, volume 135, 2020[10.1016/j.tra.2020.02.015]
Posted: 28 Apr 2025
Daniel Merchan, Matthias Winkenbach and André Snoeck
Amazon.com, Inc., Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics and affiliation not provided to SSRN

Abstract:

Loading...

Circuity, distance approximation, last-mile logistics

2.

Designing Multi-Tier, Multi-Service-Level, and Multi-Modal Last-Mile Distribution Networks for Omni-Channel Operations

MIT Center for Transportation & Logistics Research Paper No. 2021/002, European Journal of Operational Research, volume 294, issue 3, 2021[10.1016/j.ejor.2020.08.043]
Posted: 28 Apr 2025
Milena Janjevic, Daniel Merchan and Matthias Winkenbach
Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics, Amazon.com, Inc. and Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics

Abstract:

Loading...

Capacitated location-routing, Continuum approximation, Last-mile logistics

3.

Integrating Collection-and-Delivery Points in the Strategic Design of Urban Last-Mile E-Commerce Distribution Networks

MIT Center for Transportation & Logistics Research Paper No. 2019/001, Transportation Research Part E: Logistics and Transportation Review, volume 131, 2019[10.1016/j.tre.2019.09.001]
Posted: 28 Apr 2025
Milena Janjevic, Matthias Winkenbach and Daniel Merchan
Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics and Amazon.com, Inc.

Abstract:

Loading...

Collection-and-delivery points, Continuum approximation

4.

Revenue Management in Last-Mile Delivery: State-of-The-Art and Future Research Directions

MIT Center for Transportation & Logistics Research Paper No. 2020/016, Transportation Research Procedia, volume 46, 2020[10.1016/j.trpro.2020.03.170]
Posted: 28 Apr 2025
André Snoeck, Daniel Merchan and Matthias Winkenbach
affiliation not provided to SSRN, Amazon.com, Inc. and Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics

Abstract:

Loading...

dynamic pricing, last-mile delivery, revenue management, urban logistics

5.

An Empirical Validation and Data-Driven Extension of Continuum Approximation Approaches for Urban Route Distances

MIT Center for Transportation & Logistics Research Paper No. 2019/010, Networks, volume 73, issue 4, 2019[10.1002/net.21874]
Posted: 28 Apr 2025
Daniel Merchan and Matthias Winkenbach
Amazon.com, Inc. and Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics

Abstract:

Loading...

circuity, continuum approximation, last-mile delivery

6.

Route Learning: A Machine Learning-Based Approach to Infer Constrained Customers in Delivery Routes

MIT Center for Transportation & Logistics Research Paper No. 2020/020, Transportation Research Procedia, volume 46, 2020[10.1016/j.trpro.2020.03.185]
Posted: 28 Apr 2025
André Snoeck, Daniel Merchan and Matthias Winkenbach
affiliation not provided to SSRN, Amazon.com, Inc. and Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics

Abstract:

Loading...

last-mile delivery, logistics, machine learning, time-windows

7.

2021 Amazon Last Mile Routing Research Challenge: Data Set

MIT Center for Transportation & Logistics Research Paper No. 2024/016, Transportation Science, volume 58, issue 1, 2024[10.1287/trsc.2022.1173]
Posted: 24 Apr 2025
Daniel Merchan, Jatin Arora, Julian Pachon, Karthik Konduri, Matthias Winkenbach, Steven Parks and Joseph Noszek
Amazon.com, Inc., affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics and affiliation not provided to SSRN

Abstract:

Loading...

"data set", "last-mile delivery", "machine learning", "optimization", "sequencing", "Vehicle routing"