Big Data Analytics Adoption in Warehouse Management: A Systematic Review

被引：0
|
作者：
Ghaouta, Ayoub [1 ]
El Bouchti, Abdelali [2 ]
Okar, Chafik [1 ]
机构：
[1] Hassan 1st Univ, Super Sch Technol, Berrechid, Morocco
[2] Hassan 1st Univ, Inst Forecasting & Futurist, Natl Sch Business & Management, Settat, Morocco
来源：
2018 IEEE INTERNATIONAL CONFERENCE ON TECHNOLOGY MANAGEMENT, OPERATIONS AND DECISIONS (ICTMOD) | 2018年
关键词：
big data analytic; supply chain management; systematic review; warehouse management; SUPPLY CHAIN MANAGEMENT; DYNAMIC ORDER-PICKING; DECISION-SUPPORT; ASSIGNMENT; LOCATION; QUALITY;
D O I：
暂无
中图分类号：
U [交通运输];
学科分类号：
08 ; 0823 ;
摘要：
Purpose: To overview and characterize the potential adoption of big data analytics (BDA) in warehouse management (WM). Methodology: The paper uses a systematic review to describe the budding area of big data analytics in warehouse management, provide the benefits, summarize an architectural framework and methodology, give and present examples from industrial case studies reviewed in the literature, briefly argue the challenges, and provide conclusions. Findings: The paper offers a wide overview of big data analytics for warehouse management researchers and experts. Originality/value: Big data analytics in warehouse management is promoting into a promising domain for supplying insight from large data sets and enhancing results while decreasing costs. However, there exist challenges to conquer.
引用
收藏
页码：86 / 93
页数：8
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