A dynamic logistics process knowledge-based system – An RFID multi-agent approach

Chow, Harry K. H.; Choy, King Lun; Lee, Wing Bun

doi:10.1016/j.knosys.2006.08.004

Cited by 109 publications

(64 citation statements)

References 28 publications

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“…A multi agent system consists of a group of agents, interacting with one another to collectively achieve their goals. By drawing on other agent's knowledge and capabilities, agents overcome their inherent bounds of intelligence [24]. Multi agent systems' models have fine representation of entities, which are distributed, functionally and geographically.…”

Section: Multi Agent Systemmentioning

confidence: 99%

Rapid Earthquake Alarm System and Real-Time Automated Action: Application of Multi-Agent Hardware

Ghodselahi¹,

Ghodselahi²

2017

J Inform Tech Softw Eng

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IntroductionEarthquake is the shaking of earth, which is the reason of rapid release of energy and often is due to fault slippage. The released energy from its source, which is named focus, is disseminated in all aspect. These waves is similar to waves generated from apiece stone fallen into water. Alike the waves in the water, the waves of earthquake will disseminate in the surface of the earth. As the waves outspread from the focus rapidly, some sensitive devices around the world will sense these waves and record them [1]. Earthquakes are categorized in different group according to their characteristics. Different types of earthquakes are:1. Tectonic earthquakes: Many of the earthquakes occurring in the world yearly are tectonic earthquake. The movement of tablets, which is the former of earth cortex, is the reason of this type of earthquake.2. Volcanic earthquakes: these kinds of earthquake occur in the places with volcanic mountain and are referred volcanic explosion, too.3. Collapse earthquakes: the collapse of caves and underground channel can cause shakes named Collapse earthquakes. Induced earthquakes:As the reason of abrupt changes in sluices, these kinds of earthquake occur. Explosions earthquakes:The military of industrial explosions is the main cause of these earthquakes. The magnitude, place and the time of occurrence are predictable.Measuring the earthquake is based on two approaches. One is based on device measurement and the other on is based on the influences that earthquake has on handiwork [2]. The intensity of earthquake is different in various places and will reduce by diffusing farther from focus, but the magnitude of earthquake is constant and is not dependent to the distance from focus, because it is directly pertain to the total released energy. Earthquake magnitudeEarthquakes magnitude is used in order to measure earthquakes and obtain an evaluation criterion, which is in accordance to the range of fluctuation [3,4]. AbstractEarthquake is the most dangerous natural disaster in the whole era of human being life. Scientist efforts for predicting earthquake have no prolific result, so far. The earth complexity and geology structures are the main obstacles of these efforts. The importance of time at the occurrence of the earthquake has resulted in using powerful systems for real-time alarming and therefore lessening the casualties of the earthquake. In this paper we have designed a rapid earthquake alarm system and we have implemented it in parallel processing and continuous processing. We have tried to apply hardware intelligent agents for real-time and parallel processing of data and data fusion of sensors. By applying this technology, the performance of rapid earthquake alarm system will be improved. Through this improvement, the rapid and automated action of rapid earthquake alarm system can lead to reducing the effect of earthquake. SeismologyIt has been centuries that scientists are researching about earthquakes. Nowadays great networks of seismographs are installed all around the w...

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Section: Multi Agent Systemmentioning

confidence: 99%

Rapid Earthquake Alarm System and Real-Time Automated Action: Application of Multi-Agent Hardware

Ghodselahi¹,

Ghodselahi²

2017

J Inform Tech Softw Eng

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“…To solve the problem of dynamic logistic process management, a real-time knowledge-based framework has proposed in [35] with the use of RFID-multi-agents. The system is capable of real-time process management" which has functionality to identify current process status, perform checking/reasoning, and support to staff members by providing knowledge about the process while handling logistics activity problems.…”

Section: Advanced Technologies In Logisticsmentioning

confidence: 99%

Synergies of Advanced Technologies and Role of VANET in Logistics and Transportation

Khaliq¹,

Qayyum²,

Pannek³

2016

ijacsa

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Abstract-In Intelligent Transport Systems (ITS), Vehicular Ad-hoc Network (VANET) is one of key wireless technologies, which helps in managing road safety, traffic efficiency, fleet, logistics and transportation. The objective of this paper is to give an overview of the implication of different technologies and placement of VANET in transportation and specifically in logistics. We provide researchers with an overview of considered technologies in logistics scenarios and the current projects regarding VANET for safety and non-safety applications. We additionally discuss current and potential domains in logistics in which new applications can improve efficiency by use of new and existing technologies.

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“…RFID is used to develop intelligent highways (Legg,[64]), transport construction materials (Naresh et al [65]), in manufacturing to monitor the factory level (Labs, W. et al [66]), in agriculture and food industry (Wang, et al [67]), in supply chain management (Lin et al [68]), and (Naim et al [69]), in service sector (Lee et al [70]), in product design (Repo,[71]), in managing restaurant (Ngai [72]), in supply chain systems with mobile monitoring capability (Ngai [73]), (Wamba [74]), (Wamba [75], in logistic (Chow, et al [76], and Estifania [77]), in healthcare (Zare Mehrjerdi [78,79,80], for Library management and cost control (Zare Mehrjerdi [ 81,82,83], and for monitoring and tracking live animals (Wismans,[84]). …”

Section: Case Studymentioning

confidence: 99%

Developing Fuzzy TOPSIS Method based on Interval-valued Fuzzy Sets

Mehrjerdi¹

2012

IJCA

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Ranking competing alternatives in terms of their overall performance with respect to some criterions in fuzzy environment is possible by the use of fuzzy TOPSIS methodology using interval-valued fuzzy-sets concepts. This author presents an effective fuzzy multi-criteria method based upon the fuzzy model and the concepts of positive ideal and negative ideal solution points for prioritizing alternatives using inputs from a team of decision makers. The fuzzy sets concepts are used to evaluate the performance of alternatives and the importance of criteria. Fuzzy TOPSIS based on the interval-valued fuzzy-sets is fully described and a case study on RFID comprised of four main criteria and five alternatives is constructed and solved by the proposed extended TOPSIS method. The TOPSIS methodology used in this article is able to grasp the ambiguity exists in the utilized information and the fuzziness appears in the human judgments and preferences. TOPSIS technique can easily produce satisfactory results, and hence stimulates creativity and the invention for developing new methods and alternative approaches. This article is a very useful source of information for Fuzzy TOPSIS based on the interval-valued fuzzy sets and extends the area of application of RFID technology in general. Due to the fact that a better management of a system is related to the full understanding of the technologies implemented and the system under consideration, sufficient background on the methodologies are provided and a case study is developed and solved by the proposed method.

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A dynamic logistics process knowledge-based system – An RFID multi-agent approach

Cited by 109 publications

References 28 publications

Rapid Earthquake Alarm System and Real-Time Automated Action: Application of Multi-Agent Hardware

Rapid Earthquake Alarm System and Real-Time Automated Action: Application of Multi-Agent Hardware

Synergies of Advanced Technologies and Role of VANET in Logistics and Transportation

Developing Fuzzy TOPSIS Method based on Interval-valued Fuzzy Sets

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