Learning to Minimize Cost to Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce-Reference-Cited by-同舟云学术

Learning to Minimize Cost to Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce

Published:2023-01-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)
language:
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Author:

Pathakota Pranavi¹^ORCID,Zaid Kunwar¹^ORCID,Dhara Anulekha¹^ORCID,Meisheri Hardik¹^ORCID,D'Souza Shaun²^ORCID,Shah Dheeraj²^ORCID,Khadilkar Harshad³^ORCID

Affiliation:

1. TCS Research, India

2. Tata Consultancy Services Ltd, India

3. TCS Research, India and IIT Bombay, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3570991.3571016

Reference39 articles.

1. 2021. What is Cost to Serve. Online. https://www.easymetrics.com/what-is-cost-to-serve/ Accessed 2021-06-10. 2021. What is Cost to Serve. Online. https://www.easymetrics.com/what-is-cost-to-serve/ Accessed 2021-06-10.

2. Michael Allen Kerry Pearn and Tom Monks. 2021. Developing an OpenAI Gym-compatible framework and simulation environment for testing Deep Reinforcement Learning agents solving the Ambulance Location Problem. (2021). Michael Allen Kerry Pearn and Tom Monks. 2021. Developing an OpenAI Gym-compatible framework and simulation environment for testing Deep Reinforcement Learning agents solving the Ambulance Location Problem. (2021).

3. A stochastic scheduling, allocation, and inventory replenishment problem for battery swap stations

4. Schirin Baer , Jupiter Bakakeu , Richard Meyes , and Tobias Meisen . 2019 . Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems. In 2019 Second International Conference on Artificial Intelligence for Industries (AI4I). 22–25 . Schirin Baer, Jupiter Bakakeu, Richard Meyes, and Tobias Meisen. 2019. Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems. In 2019 Second International Conference on Artificial Intelligence for Industries (AI4I). 22–25.

5. The Multi-Item Joint Replenishment Problem with Transportation and Container Effects

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