The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Industrial Supply Chain Coordination Based on Real-Time Web Service
Abstract
Integrating and coordinating supply chain business operations using intelligent wireless web (IWW) technology has been appreciated in many industries. In the IWW operational environment, real-time business process data collection using the internet of things (IoT) technology, web service, and artificial intelligence (AI) techniques play an enormous role in practical deployment purposes. This chapter explains how the IWW services and capabilities can be deployed in real-time coordination in supply chain management, and the feasibility of semantic technology has been depicted with the help of a business scenario. This chapter presents the main concepts of ontology-based semantic web service architecture for interconnecting distributed business operations in supply chain management. An ontology-based Semantic Web service discovery architecture (SWSDA) for the industrial supply chain is described as a business case. The concept of description logic (DL) and a service concept similarity assessment based on an algorithm are presented in this chapter.
Related Content
|
R. Sundar, P. Balaji Srikaanth, Darshana A. Naik, V. P. Murugan, Madhavi Karumudi, Sampath Boopathi.
© 2024.
26 pages.
|
|
Kamalendu Pal.
© 2024.
26 pages.
|
|
Hayder Luis Endo Pérez, Amed Abel Leiva Mederos, José Antonio Senso-Ruíz, Ghislain Auguste Atemezing, Daniel Gálvez Lio, Jose Luis Sánchez-Chávez, Alfredo Simón Cueva.
© 2024.
13 pages.
|
|
Graveth Uzoma Ejekwu, Samson Ajodo, O. Mashood Lawal, Oluwafemi S. Balogun.
© 2024.
20 pages.
|
|
Marwa Ben Arab, Mouna Rekik, Lotfi Krichen.
© 2024.
18 pages.
|
|
J. Vimala Devi, Rajesh Vyankatesh Argiddi, P. Renuka, K. Janagi, B. S. Hari, S. Boopathi.
© 2024.
24 pages.
|
|
Marius Iulian Mihailescu, Stefania Loredana Nita.
© 2024.
45 pages.
|
|
|