Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
When SAP Extended Warehouse Management (SAP EWM) environments are compared and analyzed, it reveals significant performance trade-offs when it comes to cost, performance and resource allocation in manual variables of different warehouse processes when compared to automated variables of the same warehouse processes. Although the manual workflow is flexible in low volume, high mix functioning, it has an average cycle time of 120 seconds and an error rate of 2.5 percent. The adoption of automated solutions, which is a combination of automated storage and retrieval systems (AS/RS), robotic picking, and conveyor networks is the use cases that save 30 percent in the cycle time (to about 84 seconds), reduce error rates to 0.5 percent and increase throughput 150 to 220 tasks per hour, or by 47 percent, respectively.
Keywords:
SAP EWM; warehouse automation; manual processes; performance metrics; digital twin; human–robot collaboration
Cite Article:
"Evaluating Manual vs Automated Warehouse Processes Using SAP EWM in Enterprise Environments", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 7, page no.b150-b153, July-2025, Available :http://www.ijrti.org/papers/IJRTI2507123.pdf
Downloads:
000484
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator