SAP PS Implementation and Production Support in Retail Industries: A Comparative Analysis
PAVAN KANCHI
, PROF.(DR.) PUNIT GOEL, , PROF.(DR.) ARPIT JAIN
Keywords: SAP Project Systems, Retail Industries, Implementation, Production Support, Project Management, Best Practices
Abstract:
The integration of SAP Project Systems (SAP PS) within retail industries presents unique challenges and opportunities, offering a comprehensive framework for managing complex project environments. This research paper provides a comparative analysis of SAP PS implementation and production support across diverse retail settings. The study explores the critical factors influencing successful implementation, such as system customization, user training, and change management. It also examines the ongoing production support processes necessary to maintain system efficiency and effectiveness. By analyzing case studies from various retail companies, the paper identifies best practices and common pitfalls encountered during SAP PS deployment. The findings highlight the importance of aligning SAP PS functionalities with organizational goals and the need for continuous support to adapt to evolving business needs. This research contributes to a deeper understanding of SAP PS's role in enhancing project management capabilities within the retail sector, offering valuable insights for businesses seeking to optimize their project management processes.
"SAP PS Implementation and Production Support in Retail Industries: A Comparative Analysis", IJCSPUB - INTERNATIONAL JOURNAL OF CURRENT SCIENCE (www.IJCSPUB.org), ISSN:2250-1770, Vol.12, Issue 2, page no.759-771, April-2022, Available :https://rjpn.org/IJCSPUB/papers/IJCSP22B1299.pdf
Volume 12
Issue 2,
April-2022
Pages : 759-771
Paper Reg. ID: IJCSPUB_301405
Published Paper Id: IJCSP22B1299
Downloads: 000104
Research Area: Science and Technology
Country: ghaziabad, up, India
ISSN: 2250-1770 | IMPACT FACTOR: 8.17 Calculated By Google Scholar | ESTD YEAR: 2011
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.17 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: RJPN (IJPublication) Janvi Wave
