Impact of RFID technology on supply chain decisions with inventory inaccuracies

Fan, Tijun; Tao, Feng; Deng, Shubo; Li, Shuxia

doi:10.1016/j.ijpe.2014.10.004

Cited by 150 publications

(57 citation statements)

References 25 publications

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“…() extended the newsvendor model formulated by Fan et al. () to dynamic programming model in multi‐period planning horizon to investigate the impact of inventory inaccuracies on the inventory control policies. Compared to their research, in our paper, the misplaced inventories are assumed to be lost during the selling period without RFID but they can be recovered instantly for sale in the current decision period with RFID.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Considering the imperfect detection of the technology, Metzger et al (2013) developed an inventory control policy for RFID-enabled retail shelf inventory management when considering false-negative reads. Tao et al (2017) extended the newsvendor model formulated by Fan et al (2015) to dynamic programming model in multi-period planning horizon to investigate the impact of inventory inaccuracies on the inventory control policies. Compared to their research, in our paper, the misplaced inventories are assumed to be lost during the selling period without RFID but they can be recovered instantly for sale in the current decision period with RFID.…”

Section: Literature Reviewmentioning

confidence: 99%

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Determinant on RFID technology investment for dominant retailer subject to inventory misplacement

Tao

Lai

Wang

et al. 2018

Int Trans Operational Res

Self Cite

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Radio‐frequency identification (RFID) technology has been publicized as an effective way to solve the problem of inventory misplacement in academic research as well as in the user industries. In this paper, we consider a supply chain that consists of one supplier and one retailer where the retailer is the Stackelberg leader and makes the decisions first. The consignment contract is provided such that the supplier determines the order quantity, instead of the retailer. A Non‐RFID case, a supplier investing in RFID, and a retailer investing in RFID cases are analyzed and compared. By assuming an iso‐elastic demand function and the corresponding random factor follows uniform distribution, it is intriguing to find that both supplier and retailer have the incentive to take charge of the RFID tag cost, which is not revealed in previous research. Therefore, a case of joint investment in RFID technology is formulated to find out that there are upper and lower threshold values of RFID tag cost sharing rate; that is, if the tag cost sharing rate exceeds the upper value, it is beneficial for the supplier to invest in RFID; if the tag cost sharing rate is smaller than the lower value, it is beneficial for the retailer to invest in RFID; if the tag cost sharing rate is somewhere between these two values, both supplier and retailer are better‐off. Additionally, the end customer will be better‐off if the retailer invests in RFID.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Determinant on RFID technology investment for dominant retailer subject to inventory misplacement

Tao

Lai

Wang

et al. 2018

Int Trans Operational Res

Self Cite

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“…The investment in this technology has shown that RFID is highly promising for identifying an object uniquely and providing the capability for "complete traceability" [8]. Moreover, it has been recognized as an effective solution to eliminate or reduce inventory inaccuracies [9].…”

Section: Logisticsmentioning

confidence: 99%

Review on security issues in RFID systems

Beqqal¹,

Azizi²

2017

Adv. sci. technol. eng. syst. j.

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“…Shin Seungjae and Eksioglu Burak [12] took American retail supply chain as a case, analyzed the relationship between RFID technology and labor productivity of retailers. Fan Tijun and Tao Feng et al [13] studied the influence of RFID technology in supply chain logistics to its decisions under inaccurate inventory.…”

Section: Literature Reviewmentioning

confidence: 99%

Study on Internet of Things-driven Real-time Status Monitoring of Supply Chain Logistics

Fu¹,

Ma²,

Hu³

et al. 2017

dtetr

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Abstract. Real-time status monitoring of supply chain logistics is the basis of intelligent supply chain implementation. Supply chain logistics is essentially a process of objects move in space over time. It could also be abstracted as a process of materials transferred through nodes. First, therefore, this paper establishes a element node model of supply chain logistics to analyze the information collection required by supply chain logistics. It then uses internet of things to study the method of environment configuration of supply chain logistics real-time status monitoring, and classify the information collection required in supply chain logistics into two categories. A data processing model of supply chain logistics status monitoring is also developed based on Auto-ID calculation, with regard to the second information cannot be obtained directly through the data collection. Finally, software platform is built to verify theories and methods drawn.

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Impact of RFID technology on supply chain decisions with inventory inaccuracies

Cited by 150 publications

References 25 publications

Determinant on RFID technology investment for dominant retailer subject to inventory misplacement

Determinant on RFID technology investment for dominant retailer subject to inventory misplacement

Review on security issues in RFID systems

Study on Internet of Things-driven Real-time Status Monitoring of Supply Chain Logistics

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