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Low read rates are a general problem in library inventories. The purpose of this study is to examine the factors that contribute to the success of library inventory by means of a radio-frequency identification (RFID) inventory taker. The factors investigated were tag position, tag orientation, book thickness, tag density (related to thickness of a sequence of books) and position on the shelf.

A total of 210 books were placed in eight random permutations on three fixed book shelves. For each configuration, the RFID tags were read forty times. The resulting data were analysed by means of a generalized linear model, relating the combined contribution of tag position, tag orientation, book thickness and position on the bookshelf to the read rate.

The tags positioned directly next to the spine were always read, but those near the opening of the book (far from the spine and inventory reader) were not always read. Considering only books with tags near the opening, tag orientation and position on the shelf appeared not to be related to the read rate, while book thickness, thickness over three books and spine tag density appeared to have a small positive contribution to the read rate.

Low read rates during a library inventory can be prevented by placing the tags near the book spine – the other book specific factors (listed in the previous paragraph) are of little influence. When not scanned during a first sweep, repeated scanning can increase the read rate with 0.15.

This paper is one of the first to analyse the influence of tag location and book specific factors on the read rate of RFID tags in library books. The experimental approach sets an example for future work.

The purpose of this paper is to investigate the impact of radio frequency identification (RFID) deployment at an airport baggage‐handling system (BHS).

The impact of number of RFID readers at different power levels with varying conveyor (i.e. baggage‐handling conveyors) speeds on timely delivery of baggage is studied via simulation. The layout of the BHS at the Hong Kong International Airport and data pertinent to its RFID deployment in 2005 are used to build the simulation model. The RFID read logic is based on the equations defined as a function of the number of tags and the time the tags spend in the interrogation zone for each reader in order to capture possible read‐rate issues realistically.

The identification capability of the BHS studied in this paper is a result of its combined ability to identify tags via RFID technology on straight and circulating conveyors, as well as at the manual recovery station for unidentified bags on circulating conveyors. Overall, timely delivery of bags to gates, as a performance metric, increases as the identification capability is improved. The controllable factors that affect the identification capability are the conveyor speed, which determines the time a tag stays in the interrogation zone; the reader antenna power level, which determines the size of the interrogation zone; and the number of reader antennas in the system that increases the likelihood of not missing tags. This paper shows that “the higher the number of reader antennas and the higher the power level on them, the better” approach is not correct.

Unlike typical simulation studies related to RFID deployment where read‐rate issues are considered to be non‐existent, this paper captures read rate in a realistic manner in the simulation model by incorporating the effect of number of RFID tags in the interrogation zone and time that RFID tags spend in the interrogation zone due to baggage conveyor speed. Such a simulation approach can be used as a system design tool in order to investigate the impact of RFID‐specific parameters on system‐level performance.

This paper presents an overview on the Auto‐ID (Automatic Identification) technologies testbed that has been established at the University of Missouri‐Rolla (UMR) with the objective of supporting research, development, and implementation of Auto‐ID technologies in network‐centric manufacturing environments.

UMR's Auto‐ID testbed uses a unique hardware‐in‐the‐loop simulation methodology, which integrates decision‐making model development with the design of networking topology and data routing/scheduling schemes, in order to develop, test, and implement viable Auto‐ID solutions. The methodology is founded on a 3‐level integrated model: controller simulation, distributed controller simulation, and distributed controller simulation with hardware‐in‐the‐loop.

This paper discusses two case studies that highlight the effective use of RFID technology, its potential advantages, challenges, and deficiencies stemming from particular applications. These applications include dock doors, automated guided vehicles, conveyor and automated storage/retrieval systems, integration of RFID middleware with programmable logic controllers, and inventory management of time‐sensitive materials.

The paper presents an innovative idea: hardware‐in‐the‐loop simulation methodology to design automation systems. The approach has been implemented on a variety of applications, which are presented in the paper as case studies.

The purpose of this paper is to explore RuBee, which is a new form of automatic identification technology that can complement many of the new developments for the use of radio frequency identification (RFID). This is a timely piece, which examines the technology behind RuBee and the uses of this new identification tool.

This technology is explored through a review of the available information on RuBee, examining the emerging standards for the technology from the The Institute of Electrical and Electronic Engineers (IEEE).

Through the use of magnetic energy for communications, RuBee provides superior reading capabilities vs RFID in environments involving metal and water. RuBee also provides many of the advantages found in active RFID, with unlimited life span and far lower costs.

The limitations of this study center on the fact that RuBee is an emerging technology and while the IEEE will be providing a standards framework, much work remains to be done to see how the technology will be applied in appropriate and cost‐effective ways.

This paper will allow executives as well as technologists to examine RuBee as both an alternative and a complement to RFID technology for use in myriad settings.

This article will be of value to both practitioners and academicians in several fields, including retail and health care management as these people consider RuBee, RFID and other automatic identification technologies as a means of providing solutions to business problems and return on investment from technological applications.

This paper aims to introduce some of the most important engineering, and information systems management principles and challenges, that radio frequency identification (RFID) researchers, implementers and users should keep in mind when developing such systems, and/or planning for such applications.

Provides a general review of RFID systems.

RFID technologies with the appropriate IT infrastructure help both major distributors and manufacturers, as well as other logistics operations, such as the health‐care system, defense industries, and others, dealing with complex, global supply chains in which products and product shipments must be traced and identified in a non‐contact, wireless fashion using a computer network, because of cost, or security, or safety, or because parts are subject to corrosion, or food/medicine is subject to quality degradation, or other reasons. All of these requirements point to an automated, wireless‐readable sensory‐based identification method, and network, that offers more functionalities and is significantly “smarter” than the well known bar code or the unified product code. RFIDs are available as passive and/or active radio read/write sensor‐packages with active read (and often write) capabilities in relatively large areas (like a large distribution centre warehouse, or a containership), all performed automatically, supervised by computers and communicated in a wireless fashion over secure intranets. RFID represents great research, technology, as well as huge business opportunities.

RFID has the potential to change the way we do business all around the world. It is a huge challenge, not just because of the sophisticated sensor‐network technology, but also because of the vast systems integration and IT tasks ahead of us.

Reviews the current state‐of‐the‐art and future opportunities.

Perceived as an antidote to poor execution, interest in radio frequency identification (RFID)-enabled visibility has grown. The purpose of this paper is to examine whether and how RFID-enabled visibility with item-level tagging improves store execution.

The authors conducted three field-based experiments in collaboration with two Fortune 500 retailers.

RFID-enabled visibility resulted in a sizable decrease in inventory record inaccuracy and out-of-stocks for inventory held in both the backroom and on the sales floor. The decrease in inventory record inaccuracy and out-of-stocks was even greater among products stored primarily on the sales floor suggesting the benefits from increased visibility accrue to sales floor inventory management processes. In contrast, the authors found no significant improvement in inventory record inaccuracy and no substantive improvement in out-of-stocks among products stored primarily in the backroom suggesting that increased visibility does not improve backroom management processes.

The authors recommend retailers focus on sales floor inventory management when seeking to improve store execution through the adoption of RFID-enabled visibility. In the context, only partial evidence exists that backroom inventory management improves with RFID-enabled visibility.

Retailers seeking to invest in RFID technology must estimate potential performance improvements before making firm-specific cost-benefit analyses. They must also understand where and how these performance improvements will accrue. This research uniquely presents the results of a three field experiments that quantify the changes in retail execution associated with RFID adoption.

The purpose of this paper is to analyze a conceptual framework to identify significant benefit and cost attributes of a radio-frequency identification (RFID) system for asset tracking in healthcare facilities. Sources of value function for RFID in healthcare are categorized according to major improvement. Several cost functions are proposed to measure aspects of automated tracking implementation.

The four phases of problem definition, literature identification, assessment and analysis were used to begin the research. A cost–benefit analysis (CBA) was completed to identify the factors within healthcare with major benefits, and finally, a recommended group of items were identified to track with the CBA.

RFID to manage mobile devices increases the utilization rate, decreases annual spending, allows withdrawal of funds for underutilized assets and establishes confidence that equipment is readily available when needed. These benefits provide improved staff productivity, quicker patient turnover, higher quality of care and more cost savings. Real-time location system technologies allow hospitals to be prepared for emergencies requiring the immediate use of medical devices without delay and allow staff to determine the status, condition and location of essential equipment, leading to a decrease in patient wait time. Additional improvements were also found.

The transition from pay-for-service to pay-for-performance is taking place in an industry hampered by rising costs and limited available resources. Healthcare expenditures are estimated to grow dramatically, and various factors contribute to rising expenses, including an aging population and increased chronic conditions resulting in higher demand for care, poor quality and operational inefficiencies. Therefore, understanding benefits of new technology use like RFID is critical for improvement and efficiency in healthcare.

The Internet of Things (IoT) envisions a global infrastructure of networked physical objects that render radical transparency to supply chain management. Despite the perceived advantages of IoT, industry has still not widely adopted IoT-enabled logistics and supply chain management. The purpose of this paper is to understand the incentives and concerns behind firms’ decisions to adopt IoT, explore the determinant factors affecting IoT adoption in logistics and supply chain management.

This study uses mixed methods research to explore the determinants of IoT adoption intention in logistics and supply chain management. Qualitative analysis using the Grounded Theory methodology reveals the underlying perceptions regarding logistic innovation with IoT. Quantitative hypotheses are then developed based on qualitative investigation and adoption literature. Survey data were collected from the managerial staff of Taiwanese firms across various industries. Structural equation modeling with partial least square is used for data analysis.

The results of the qualitative study identify uncertainties and issues regarding firms’ intention to accept or reject IoT technology in logistics and supply chain management, including the benefit and cost aspects of adopting IoT, uncertainties about the trustworthiness of IoT technology, and the external motivating force to embrace IoT. The resulting quantitative model shows that perceived benefits, perceived costs, and external pressure are significant determinants of IoT adoption intention, while technology trust is not. However, technology trust does indirectly influence IoT adoption intention through perceived benefits.

The empirical findings of this study provide some guidelines for logistics and supply chain managers to evaluate IoT adoption in their firms. Likewise, IoT solution providers can also benefit from this study by improving their solutions to mitigate the IoT adoption concerns addressed herein.

This paper is among the first known to examine IoT adoption intention in logistics and supply chain management using mixed methods research. The mixed methods approach offers a better insight in understanding incentives behind firms’ decisions to adopt IoT vs the use of either a qualitative or quantitative method alone.

The purpose of this paper is to describe the advantages, challenges and uncertainties of collecting and analyzing data using participant observation in logistics research.

Experiences from a participant observation study of an interorganizational radio frequency identification (RFID) implementation in an international environment are presented and reflected on. The RFID implementation included complex interactions between three leading companies.

The results appear to support an increased use of participant observation in qualitative logistics research, particularly when investigating interorganizational aspects. The analysis highlights values, general limitations and challenges of using participant observation in logistics. The paper illustrates that using participant observation results in significant and detailed findings, which would be difficult to achieve with other methods. Suggestions on how to take advantage of the method's benefits and overcome methodological challenges are provided.

Future research may address experiences from other studies regarding how to analyze and report data from a participant observation study. It may also clarify the role the method is given in case studies and extend the analysis of epistemological aspects conducted in this paper.

This paper may inspire logistics researchers to consider participant observation, either as sole method or as part of a multi‐methodical case study, in order to make use of its benefits and thus broaden the dimensions of logistics research.

A broad literature review indicates that participant observation studies are rather uncommon in logistics research. This paper thus highlights the potential of using this method in logistics research, particularly when investigating the overlooked, but essential, interorganizational aspects of logistics and SCM.

The purpose of the paper is to explore the application of radio frequency identification (RFID) to improve traceability in a flow of granular products and to illustrate examples of special issues that need to be considered when using the RFID technique in a process industry setting.

The paper outlines a case study at a Swedish mining company, including experiments to test the suitability of RFID to trace iron ore pellets (a granular product) in parts of the distribution chain.

The results show that the RFID technique can be used to improve traceability in granular product flows. A number of special issues concerning the use of RFID in process industries are also highlighted, for example, the problems to control the orientation of the transponder in the read area and the risk of product contamination in the supply chain.

Even though only a single case has been studied, the results are of a general interest for industries that have granular product flows. However, future research in other industries should be performed to validate the results.

The application of RFID described in this paper makes it possible to increase productivity and product quality by improving traceability in product flows where traceability normally is problematic.

Prior research has mainly focused on RFID applications in discontinuous processes. By contrast, this paper presents a novel application of the RFID technique in a continuous process together with specific issues connected to the use of RFID.