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Intelligent Agents for Supporting Supply Chain Collaborative Technologies

Intelligent Agents for Supporting Supply Chain Collaborative Technologies

Walter Rodriguez, Janusz Zalewski, Elias Kirche
Copyright: © 2009 |Pages: 12
ISBN13: 9781605661100|ISBN10: 1605661104|ISBN13 Softcover: 9781616924874|EISBN13: 9781605661117
DOI: 10.4018/978-1-60566-110-0.ch011
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MLA

Rodriguez, Walter, et al. "Intelligent Agents for Supporting Supply Chain Collaborative Technologies." Virtual Team Leadership and Collaborative Engineering Advancements: Contemporary Issues and Implications, edited by Ned Kock, IGI Global, 2009, pp. 154-165. https://doi.org/10.4018/978-1-60566-110-0.ch011

APA

Rodriguez, W., Zalewski, J., & Kirche, E. (2009). Intelligent Agents for Supporting Supply Chain Collaborative Technologies. In N. Kock (Ed.), Virtual Team Leadership and Collaborative Engineering Advancements: Contemporary Issues and Implications (pp. 154-165). IGI Global. https://doi.org/10.4018/978-1-60566-110-0.ch011

Chicago

Rodriguez, Walter, Janusz Zalewski, and Elias Kirche. "Intelligent Agents for Supporting Supply Chain Collaborative Technologies." In Virtual Team Leadership and Collaborative Engineering Advancements: Contemporary Issues and Implications, edited by Ned Kock, 154-165. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-110-0.ch011

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Abstract

This paper 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 paper 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 thorough 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 paper 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 ebusiness 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.

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