Combining RFID Technology and Business Intelligence for Supply Chain  Optimization Scenarios for Retail Logistics

Baars, Henning; Kemper, Hans-Georg; Siegel, Martin A.

doi:10.1109/hicss.2008.93

Cited by 31 publications

(17 citation statements)

References 15 publications

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“…GPS navigation systems provide directions, dispatch emergency responders to vehicles (OnStar, 2009), and combined GPS and RFID devices enable vastly more efficient inventory management in global supply chains (Baars, et al, 2008).…”

Section: Location-based and Context-aware Services (Context 7)mentioning

confidence: 99%

Seven Contexts for Service System Design

Glushko

2010

Handbook of Service Science

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Many of the most complex service systems being built and imagined today combine person-to-person encounters, technology-enhanced encounters, self-service, computational services, multi-channel, multi-device, and location-based and context-aware services. This paper examines the characteristic concerns and methods for these seven different design contexts to propose a unifying view that spans them, especially when the service-system is "information-intensive." A focus on the information required to perform the service, how the responsibility to provide this information is divided between the service provider and service consumer, and the patterns that govern information exchange yields a more abstract description of service encounters and outcomes. This makes it easier to see the systematic relationships among the contexts that can be exploited as design parameters or patterns, such as the substitutability of stored or contextual information for personto-person interactions. A case study for the design of a "smart multi-channel bookstore" illustrates the use of the different design contexts as building blocks for service systems.

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Section: Location-based and Context-aware Services (Context 7)mentioning

confidence: 99%

Seven Contexts for Service System Design

Glushko

2010

Handbook of Service Science

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“…It is also extensively applied in logistics, traffic management, medical treatment, national defense, mining, and endlessly infiltrated to new fields [12]. The heart of an RFID system is the ''RFID tag'' which encloses an integrated circuit and a transponder for data storage and transmission [13]. The tag can be tied to an object and be read out with reader hardware either in the form of a hand-reader or a RFID gate [14].…”

Section: Introductionmentioning

confidence: 99%

A Novel RFID Data Mining System: Integration of Effective Sequential Pattern Mining and Fuzzy Rules Generation Techniques

Kochar

Chhillar

2011

Int J Wireless Inf Networks

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Data warehousing and Data mining find enormous applications; RFID technology is one among them. A RFID data warehousing system with novel data cleaning, transformation and loading technique has been proposed in the previous work. The system has been dedicatedly implemented in one of the significant RFID applications tracking of goods in warehouses. The warehoused RFID data is in specific format and so an effective mining system is required to mine the needed information from the database. The existing mining algorithms are inefficient in extracting the information from the warehoused RFID data. In this paper, a novel data mining system is proposed, which effectively extracts the information regarding the nature of movement of the RFID tags. The proposed mining system generates an intermediate dataset (I-dataset) from the warehoused dataset. From the I-dataset, sequential patterns are mined with different pattern length combinations. From the mined sequential patterns, fuzzy rules are generated, which depicts the nature of movement of the RFID tags. The implementation results show that the proposed mining system performs well by extracting the significant RFID tags and its combinations and the nature of movement of the tags.

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“…Over the past decade, the construct of BI has been understood much more generally to imply aggregating aspects of various components of decision support framework (Baars et al, 2008) and generating detailed information which is critical for decision making (Negash, 2004). Thus, many definitions of BI systems focus on the capability of an organisation to bolster business efficiency and to attain strategic organisational goals.…”

Section: Business Intelligence (Bi) Systemsmentioning

confidence: 99%