RFID-enabled Warehouse Process Optimization in the TPL Industry

Using the value chain model and a longitudinal real-world case study of a third-party logistics (TPL) supply chain, this study provides support for the enabling role of RFID technology in effecting warehouse process optimization. Furthermore, the findings of our study reveal the RFID technology implementation costs as the key inhibitors factor of RFID widespread adoption and usage among suppliers

Empirical Evidence of RFID Impacts on Supply Chain Performance

Purpose - The purpose of this paper is to investigate the actual benefits of radio frequency identification (RFID) on supply chain performance through the empirical evidence. Design/methodology/approach - The research reviews and classifies the existing quantitative empirical evidence of RFID on supply chain performance. The evidence is classified by process (operational or managerial) and for each process by effect (automational, informational, and transformational). Findings - The empirical evidence shows that the major effects from the implementation of RFID are automational effects on operational processes followed by informational effects on managerial processes. The RFID implementation has not reached transformational level on either operational or managerial processes. RFID has an automational effect on operational processes through inventory control and efficiency improvements. An informational effect for managerial processes is observed for improved decision quality, production control and the effectiveness of retail sales and promotions coordination. In addition, a three-stage model is proposed to explain the effects of RFID on the supply chain. Research limitations/implications - Limitations of this research include the use of secondary sources and the lack of consistency in performance measure definitions. Future research could focus on detailed case studies that investigate cross-functional applications across the organization and the supply chain. Practical implications - For managers, the empirical evidence presented can help them identify implementation areas where RFID can have the greatest impact. The data can be used to build the business case for RFID and therefore better estimate ROI and the payback period. Originality/value - This research fills a void in the literature by providing practitioners and researchers with a better understanding of the quantitative benefits of RFID in the supply chain

Cost-Benefit Sharing in Cross-Company RFID Applications: A Case Study Approach

Although the highest potential for RFID in logistics is expected to be realized in cross-company applications, the status quo in the RFID project landscape is dominated by isolated solutions in specific fields. Reasons for this phenomenon are the high investment costs and the difficulty in assessing the benefits during the run-up phase. In network technologies such as RFID, the benefits depend on the spread of the technology in the network. A high discrepancy may result between the occurring costs and the resulting benefits for each of the network partners. This unequal distribution puts the success of the application at risk. To counter this trend, a balancing of costs and benefits should be considered. The research question of this paper is how these costs and benefits should be distributed among which participants. To develop a practical, relevant solution, we use an empirical research method based on an exploratory case study

An Analysis of Information Assurance Relating to the Department of Defense Radio Frequency Identification (RFID) Passive Network

The mandates for suppliers to commence Radio Frequency Identification tagging set by Wal-Mart and the Department of Defense is changing this long-time rumored technology into reality. Despite the many conveniences to automate and improve asset tracking this technology offers, consumer groups have obstinately opposed this adoption due to the perceived weaknesses in security and privacy of the network. While the heated debate between consumers and retailers continues, little to no research has addressed the implications of security on the Department of Defense Radio Frequency Identification network. This thesis utilized a historical analysis of Radio Frequency Identification literature to determine whether the current network design causes any serious security concerns adversaries could exploit. The research concluded that at the present level of implementation, there is little cause for concern over the security of the network, but as the network grows to its full deployment, more evaluation and monitoring of security issues will require further consideration

RFID-Enabled Warehouse Process Optimization in the TPL Industry

Using the value chain model and a longitudinal real-world case study of a third-party logistics (TPL) supply chain, this study provides support for the enabling role of RFID technology in effecting warehouse process optimization. Furthermore, the findings of our study reveal the RFID technology implementation costs as the key inhibitors factor of RFID widespread adoption and usage among suppliers

The Impact of COVID-19 on Supply Chains and E-commerce Logistics

As a result of the COVID-19 pandemic, supply, demand, and logistics have all been affected. Due to its unpredictable severity, the pandemic has highlighted the need to modify the existing supply chain model, the consumer structure model, and the digitization of markets. At the same time, the situation under COVID-19 offers increasing opportunities for e-commerce, including new business models and online commercial activities. This master's thesis aims to analyze how COVID-19 will affect global supply chains and e-commerce. Moreover, it will try to analyze the practices of major e-commerce platforms during the pandemic to determine whether there are opportunities for innovation and development in the future. The study will examine how retailers adapted to supply chain disruptions caused by the pandemic from a practical perspective and highlight the critical role of technology in these processes. The research provides insights into how companies are coping with long-term disruptions. The study we conducted used a qualitative approach, which included a case study and a SWOT analysis. In addition, we analyzed quantitative operational data from public financial reports released by JD.com.Our study examines the effects of a pandemic on supply chains. It also summarises the challenges faced by the retail sector and the strategies used by JD.com during the challenging period. During the pandemic, JD.com was able to handle the various aspects of its supply chain management through an integrated supply chain and intelligence platform. This study presents a supply chain resilience analysis by using actual operational data. Moreover, It suggests that companies should consider operational flexibility and collaboration outside the supply chain to adapt to significant supply chain disruptions like COVID-19