Show simple item record

contributor authorSun, Yiding
contributor authorLi, Xinming
contributor authorMa, Yongsheng
date accessioned2025-08-20T09:16:41Z
date available2025-08-20T09:16:41Z
date copyright11/5/2024 12:00:00 AM
date issued2024
identifier issn1530-9827
identifier otherjcise_24_12_121004.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4308016
description abstractCustomer relationship management (CRM) and enterprise resource planning (ERP) have been extensively discussed in the research literature respectively. However, existing studies do not reach a complete agreement on the CRM/ERP integration method, especially for small- and medium-sized enterprises (SMEs). Generally, this work proposed a novel method for CRM/ERP integration approach via associative feature technology. A new feature type, Real-time Data Link Board (RDLB), is developed and detailed as a generic information carrier solution for multisystem integration between CRM and ERP packages. Valuable data elements are mapped into such data boards dynamically and synchronized across different data sources, structures, and databases. The contribution of this work is to present a well-defined and generically reusable data carrier definition, alongside related methods for ensuring consistent data modeling during the system integration phase across various digitalization engineering implementation projects. With this approach, the consistent management of data integration across intricate systems is achievable throughout application lifecycles, supported by the object-oriented software engineering foundation.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Real-Time Associative Feature-Based Customer Relationship Management and Enterprise Resource Planning Integration Model for Small- and Medium-Sized Enterprises
typeJournal Paper
journal volume24
journal issue12
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.4066802
journal fristpage121004-1
journal lastpage121004-12
page12
treeJournal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 012
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record