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

Walter Rodriguez (Florida Gulf Coast University, USA), Janusz Zalewski (Florida Gulf Coast University, USA) and Elias Kirche (Florida Gulf Coast University, USA)

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DOI: 10.4018/978-1-60566-090-5.ch012

Source title: Selected Readings on Strategic Information Systems

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MLA

Rodriguez, Walter, Janusz Zalewski and Elias Kirche. "Beyond Intelligent Agents: E-Sensors for Supporting Supply Chain Collaboration and Preventing the Bullwhip Effect." Selected Readings on Strategic Information Systems. IGI Global, 2009. 170-182. Web. 19 May. 2013. doi:10.4018/978-1-60566-090-5.ch012

APA

Rodriguez, W., Zalewski, J., & Kirche, E. (2009). Beyond Intelligent Agents: E-Sensors for Supporting Supply Chain Collaboration and Preventing the Bullwhip Effect. In M. Hunter (Ed.), Selected Readings on Strategic Information Systems (pp. 170-182). Hershey, PA: Information Science Reference. doi:10.4018/978-1-60566-090-5.ch012

Chicago

Rodriguez, Walter, Janusz Zalewski and Elias Kirche. "Beyond Intelligent Agents: E-Sensors for Supporting Supply Chain Collaboration and Preventing the Bullwhip Effect." In Selected Readings on Strategic Information Systems, ed. M. Gordon Hunter, 170-182 (2009), accessed May 19, 2013. doi:10.4018/978-1-60566-090-5.ch012

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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.

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