Welcome to the InfoSci Platform
Reference Hub4
Beyond Intelligent Agents: E-sensors for Supporting Supply Chain Collaboration and Preventing the Bullwhip Effect

Beyond Intelligent Agents: E-sensors for Supporting Supply Chain Collaboration and Preventing the Bullwhip Effect

Walter Rodriguez, Janusz Zalewski, Elias Kirche
Copyright: © 2007 |Volume: 3 |Issue: 2 |Pages: 15
ISSN: 1548-3673|EISSN: 1548-3681|ISSN: 1548-3673|EISBN13: 9781615205752|EISSN: 1548-3681|DOI: 10.4018/jec.2007040101
Cite Article Cite Article

MLA

Rodriguez, Walter, et al. "Beyond Intelligent Agents: E-sensors for Supporting Supply Chain Collaboration and Preventing the Bullwhip Effect." IJEC vol.3, no.2 2007: pp.1-15. http://doi.org/10.4018/jec.2007040101

APA

Rodriguez, W., Zalewski, J., & Kirche, E. (2007). Beyond Intelligent Agents: E-sensors for Supporting Supply Chain Collaboration and Preventing the Bullwhip Effect. International Journal of e-Collaboration (IJeC), 3(2), 1-15. http://doi.org/10.4018/jec.2007040101

Chicago

Rodriguez, Walter, Janusz Zalewski, and Elias Kirche. "Beyond Intelligent Agents: E-sensors for Supporting Supply Chain Collaboration and Preventing the Bullwhip Effect," International Journal of e-Collaboration (IJeC) 3, no.2: 1-15. http://doi.org/10.4018/jec.2007040101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

This article presents a new concept for supporting electronic collaboration, operations, and relationships among trading partners in the value chain without hindering human autonomy. Although autonomous intelligent agents, or electronic robots (e-bots), can be used to inform this endeavor, the article advocates the development of e-sensors, i.e., software based units with capabilities beyond intelligent agent’s functionality. E-sensors are hardware-software capable of perceiving, reacting and learning from its interactive experience through the supply chain, rather than just searching for data and information through the network and reacting to it. E-sensors can help avoid the “bullwhip” effect. The article briefly reviews the related intelligent agent and supply chain literature and the technological gap between fields. It articulates a demand-driven, sense-and-response system for sustaining e-collaboration and e-business operations as well as monitoring products and processes. As a proof of concept, this research aimed a test solution at a single supply chain partner within one stage of the process.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.