A prototype multi-agent ERP system: an integrated architecture and a conceptual framework

The documentation of electroacoustic and mixed musical works typically relies on a posteriori data collection. In this article, we argue that the preservation of musical works having technological components should be grounded in a thorough documentation of the creative process that accounts for both human and nonhuman agents of creation. The present research aims at providing a ground for documentation policies that account for the creative process and provide relevant information for performance, migration, and analysis. To do so, we analyzed secondary ethnographic data from a two-year creation and production process of a musical work having a focus on gesture following. Using grounded theory, we developed a conceptual framework with different levels of abstraction and consequent levels of transferability to other creative contexts. Finally, we propose several paths for grounding a subsequent documentation framework in this conceptual framework.

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Research and application of intelligent erp system based on multi-agent

The 2002 International Conference on Control and Automation, 2002. ICCA. Final Program and Book of Abstracts. ◽

10.1109/icca.2002.1229381 ◽

2005 ◽

Author(s):

Zeng Yifeng ◽

Luo Jian

Keyword(s):

Erp System ◽

Multi Agent

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INTENT RECOGNITION IN MULTI-AGENT SYSTEMS: COW HERDING

International Journal of Pattern Recognition and Artificial Intelligence ◽

10.1142/s021800141459006x ◽

2014 ◽

Vol 28 (05) ◽

pp. 1459006

Author(s):

NAJLA AHMAD ◽

ARVIN AGAH

Keyword(s):

Conceptual Framework ◽

Recognition System ◽

Plan Recognition ◽

Multi Agent System ◽

Multi Agent Systems ◽

Agent System ◽

Intent Recognition ◽

Domain Specific ◽

Novel Approach ◽

Multi Agent

In a multi-agent system, an agent may utilize its idle time to assist other agents in the system. Intent recognition is proposed to accomplish this with minimal communication. An agent performing recognition observes the tasks other agents are performing and, unlike the much studied field of plan recognition, the overall intent of an agent is recognized instead of a specific plan. The observing agent may use capabilities that it has not observed. A conceptual framework is proposed for intent recognition systems. An implementation of the conceptual framework is tested and evaluated. We hypothesize that using intent recognition in a multi-agent system increases utility (where utility is domain specific) and decreases the amount of communication. We test our hypotheses using the domain of Cow Herding, where agents attempt to herd cow agents into team corrals. A set of metrics, including task time and number of communications, is used to compare the performance of plan recognition and intent recognition. In our results, we find that intent recognition agents communicate fewer times than plan recognition agents. In addition, unlike plan recognition, when agents use the novel approach of intent recognition, they select unobserved actions to perform. Intent recognition agents were also able to outperform plan recognition agents by consistently scoring more points in the Cow Herding domain. This research shows that under certain conditions, an intent recognition system is more efficient than a plan recognition system. The advantage of intent recognition over plan recognition becomes more apparent in complex domains.

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Collaboration in reverse: a conceptual framework for reverse logistics operations

International Journal of Productivity and Performance Management ◽

10.1108/ijppm-10-2017-0247 ◽

2019 ◽

Vol 68 (2) ◽

pp. 482-504 ◽

Cited By ~ 5

Author(s):

Kumaraguru Mahadevan

Keyword(s):

Conceptual Framework ◽

Reverse Logistics ◽

Design Methodology ◽

Research Work ◽

Consumer Electronics ◽

Content Type ◽

Erp System ◽

Online Retailers ◽

Tools And Techniques ◽

Practical Implications

Purpose The purpose of this paper is to present the research carried out on the development of a conceptual framework termed as the reverse collaboration framework (RCF) to provide supply chain (SC) visibility and information sharing to practitioners in a reverse logistics (RL) operations. Design/methodology/approach The research methodology used in this research is a combination of concept mapping, and the extension of the work of other researchers (deductive approach) to develop a RCF that connects tools, techniques, systems and RL processes. Findings This research shows that by integrating tools, systems, tools and techniques with RL processes by means of the RCF will increase performance and productivity of a RL operations. This is demonstrated by applying the RCF to a consumer electronics business that proves that the time taken for the end to end RL operations is reduced by 20%. Research limitations/implications The RCF has been demonstrated with the data from a consumer electronics organisation. Literature points out that there are many different mathematical models for RL across a number of industries. Thus, at this stage, it is not clear if the RCF developed in this research will work in other industries, such as the newspaper, plastic bottles and online retailers industry where product returns are high. This research work can be extended in developing an IT solution by future researchers that can be linked to the main ERP system of an organisation. Practical implications SC managers can use the RCF in the extended form of an IT solution to manage the RL operations of their organisations. Originality/value There is a lack of research in the space of reverse collaboration in the broader field of SC management. This paper has fulfilled that gap.

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