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Data-driven order batching policy: Focusing on the fulfillment center of Kurly

delete2025-12-24
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PRE
AI
J
Juyoung Wang
S
Soohyung Park
B
Byungju Goo
D
Dongyun Kang
S
Soojee Kim
J
Jaehyeong Choi
C
Choonoh Lee *
DOI:10.1016/j.cie.2025.111767delete
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Abstract

Abstract

En 中文
• Embeds tote-usage regression inside an integer program for order batching. • Proposed method cuts conveyor tote congestion up to 92% in fulfillment center. • Validated results on millions of real Company-A orders. • Framework is layout-agnostic. Retrains daily to capture dynamic warehouse conditions. • Demonstrates data-driven OR unlocking latent capacity in fast-growing fulfillment.

Journal

Computers and Industrial Engineering cover
Computers and Industrial Engineering
IF:
6.5
Papers:
1.0W
Citations:
3.8W

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