The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
An Agent-Based Information Technology Architecture for Mass Customized Markets
Abstract
This chapter presents a Web-enabled, agent-based information system model to support mass-customized markets. We present a distributed, real-time, Java-based, mobile intelligent information system that interfaces with firms’ existing IT infrastructures, follows a build-to-order production strategy, and integrates order-entry with supply chain, manufacturing, and product delivery systems. The model provides end-to-end visibility across the entire supply chain, allows for a collaborative and synchronized production system, and supports an event-based manufacturing environment. The system introduces four general-purpose intelligent agents to support the entire mass customization process. The adoption of this approach by a semiconductor manufacturing firm resulted in reductions in product lead time (by half), buffer inventory (from five to two weeks), and manual transactions (by 80%). Similarly, the adoption by a leading automotive manufacturer resulted in a 51% total inventory reduction while increasing plant utilization by 30%. These results verify that the successful adoption of this system can reduce inventory and logistic costs, improve delivery performance, increase manufacturing facilities utilization, and provide a higher overall profitability.
Related Content
Vincent Lennard Kraus.
© 2023.
32 pages.
|
Tlou Maggie Masenya.
© 2023.
16 pages.
|
Arzu Tufan, Gurkan Tuna.
© 2023.
30 pages.
|
Wasswa Shafik.
© 2023.
19 pages.
|
Calvin Nobles, Sharon L. Burton, Darrell Norman Burrell.
© 2023.
23 pages.
|
Darrell Norman Burrell, Calvin Nobles, Austin Cusak, Laura Ann Jones, Jorja B. Wright, Horace C. Mingo, Jennifer Ferreras-Perez, Katrina Khanta, Philip Shen, Kevin Richardson.
© 2023.
16 pages.
|
Jorja B. Wright, Darrell Norman Burrell.
© 2023.
12 pages.
|
|
|