Return on investment calculator for RFID ecosystem of high tech company

Souza, Robert de; Goh, Mark; Sundarakani, Balan; Wai, Wong Tuck; Toh, Keith; Wu, Yong

doi:10.1016/j.compind.2011.08.002

Cited by 15 publications

(9 citation statements)

References 24 publications

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“…In particular, much of the IoT benefit depends on what information is collected in which manner. To make business sense, IoT applications have to be investigated in terms of the value created in the entire supply chain context (Souza et al 2011). Currently, for the most part, the existing Internet is a static repository of unconstructed data that is accessible only through human interventions.…”

Section: Information Technologymentioning

confidence: 99%

Smart supply chain management: a review and implications for future research

Yue

Jin

et al. 2016

The International Journal of Logistics Management

311

269

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. Structured Abstract:Purpose: As traditional supply chains are increasingly becoming intelligent with more objects embedded with sensors and better communication, intelligent decision-making and automation capabilities, the new smart supply chain presents unprecedented opportunities for achieving cost reduction and enhancing efficiency improvement. The purpose of the paper is to study and explore the currents status and remaining issues of smart supply chain management (SSCM) .Design/methodology/approach: A literature review is conducted to synthesize the earlier work in this area, and to conceptualize and discuss the smart supply chain characteristics. Further, we formulate and investigate the five key research topics including information management, IT, process automation, advanced analytics, and supply chain integration.Findings: Studies in those aforementioned subject fields are reviewed, categorized, and analysed based on the review questions defined in the study. It is notable that while the topics of converging atoms with digits are increasingly attracting attention from researchers and practitioners alike, there are many more interesting research questions needing to be addressed.Originality/value: The paper provides original and relevant guidance for SCM researchers and practitioners on developing smart supply chains.

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Section: Information Technologymentioning

confidence: 99%

Smart supply chain management: a review and implications for future research

Yue

Jin

et al. 2016

The International Journal of Logistics Management

311

269

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“…RFID is one key technology that will provide an imperative support for IOT to play an essential role in integrating the different systems together. RFID is an automated sensing technology that incorporates tags to Time taken from the ticket punching area to the metro platform 0.7 by elevator and 1.02 by escalator transfer data upon RFID reader queries (De Souza, et al, 2011;Li, 2009). The RFID system has been used in 'Salik' toll gates in the UAE, which charges car users without hindering them through toll booths or barriers.…”

Section: Arena Simulationmentioning

confidence: 99%

An Assessment of the Dubai Metro Service’s Performance Using SCOR Model and ARENA Simulation

Kamarudeen

Sundarakani

Manikas

2020

FIIB Business Review

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Metro service operations have become challenging in modern urban environments due to the dynamics of population, service levels, accuracy and other operational issues. This research applies the supply chain operations reference (SCOR) model combined with the ARENA model simulation to examine the service performance in the Dubai Metro. The proposed approach takes into consideration the real-time flows of metro service operations and simulates the passengers’ service time in selected terminals. The researchers measure the actual time spent by passengers and estimate various possible scenarios as outcome. The researchers assessed the average time spent in the system and the performance improvement as a visualized outcome, with suggestions for improvements, such as: onboard card recharge, automatic checkout using radio-frequency identification (RFID) systems, integration of systems using the Internet of things (IOT) and blockchain and a dedicated lane system. The proposed recommendations have the potential to contribute to service performance improvement of the metro rail, as Dubai plans for its operational expansion process towards Expo 2020. This research methodology and these results can be extended to metro service operations of other urban centres, to better understand passengers’ behaviour in the future. In view of this, the research contributes to both the theory and practice of travel behaviour in the metro transportation service.

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“…This brief analysis has outlined the complexity of AR devices together with their potential applications in a manufacturing company: thus, the research problem in analysis in this paper faces with evaluating the most efficient AR devices for a specific manufacturing process. By focusing on innovative applications, the feasibility study is very complex due to several factors (Gnoni and Rollo, 2010;De Souza et al, 2011): one of the most critical issue is integrating technological with process-based metrics: the proposes study proposes a method to overcome this limit.…”

Section: Augmented Reality Systems In Manufacturing: a Brief Analysismentioning

confidence: 99%