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‘Fit-for-purpose?’ – challenges and opportunities for applications of blockchain technology in the future of healthcare
Blockchain is a shared distributed digital ledger technology that can better facilitate data management, provenance and security, and has the potential to transform healthcare. Importantly, blockchain represents a data architecture, whose application goes far beyond Bitcoin – the cryptocurrency that relies on blockchain and has popularized the technology. In the health sector, blockchain is being aggressively explored by various stakeholders to optimize business processes, lower costs, improve patient outcomes, enhance compliance, and enable better use of healthcare-related data. However, critical in assessing whether blockchain can fulfill the hype of a technology characterized as ‘revolutionary’ and ‘disruptive’, is the need to ensure that blockchain design elements consider actual healthcare needs from the diverse perspectives of consumers, patients, providers, and regulators. In addition, answering the real needs of healthcare stakeholders, blockchain approaches must also be responsive to the unique challenges faced in healthcare compared to other sectors of the economy. In this sense, ensuring that a health blockchain is ‘fit-for-purpose’ is pivotal. This concept forms the basis for this article, where we share views from a multidisciplinary group of practitioners at the forefront of blockchain conceptualization, development, and deployment.
Journal Article
The evolution of electronic procurement : transforming business as usual
This book responds to the increasing speed with which the domain of electronic procurement has been evolving, as well to the significant advances predicted to take place in the near future. Covering the fundamentals of electronic procurement as well as advanced applications, the main focus is on the critical importance of information technology for modern supply management professionals. Tracing the evolution of electronic procurement over the last 20 years, the book illustrates how the concept has evolved from a novel idea into a standard approach that cannot be neglected, fundamentally transforming business as usual. The transformation is highlighted by the evolution of online reverse auctions, as well as the ensuing expansion of technology to virtually all aspects of strategic sourcing in the form of integrated electronic sourcing suites. Several advances and new applications of electronic procurement are presented, with an emphasis on how social media can be leveraged for supply management and its associated significant potential.
Book
A New Lean Logistics Management Model for the Modern Supply Chain
Lean Logistics is a work philosophy to identify and eliminate waste from the supply chain. This is used in different areas to avoid lack of material or information. The purpose of this paper is to investigate the adoption of Lean and its principles applied to logistics to guide a material supply process. A survey was conducted among 25 experts located in the state of Nuevo León, Mexico, and 21 usable responses were obtained. A factor analysis was performed using the principal components method to identify the factors that affect the orientation of Lean Logistics. It was found that 76.19 percent of the experts’ response considers the concepts of Lean Logistics in the sourcing process taking into account management’s commitment. Areas of opportunity were identified and it was observed that Lean philosophy tends to be accepted within this area. The survey was limited to state Nuevo León. A future study should explore more areas, contemplate more variables and all the principles that apply in a Lean Supply Chain. Lean Logistics is applicable to eliminate activities that do not add value and optimize resources for a process. Communication and effective training of area managers are necessary to influence resistance to change and involve employees to know and understand the improvements in the methodology and concepts of Lean Logistics. This research sought to provide factors and variables of greater impact. The results provide information to improve logistics operations and guide the control of the variables that are involved in the material supply process.
Journal Article
Game theoretic analysis of logistics service coordination in a live-streaming e-commerce system
This study explores the coordination issues in the logistics service supply chain, which stem from the rapid development of live-streaming e-commerce (LSE). It also investigates the influences of a cost-sharing mechanism on the key decisions for live-streaming e-commerce logistics service supply chains (LSE-LSSC) with regard to the level of effort of logistics services. The motivation of the research is derived from the growing efficiency demands for logistics services in the LSE field. We consider an LSE-LSSC, which consists of one e-commerce shipper, one logistics service integrator, and one logistics service provider. On the basis of the game theoretic method, the performance of the logistics service supply chain is assessed and compared with four models among the participating entities of the LSE-LSSC. Some interesting results and key managerial insights are obtained in the modeling study. More importantly, the influences of cost-sharing on the key decisions of each player are discussed in detail, and the coordination contract of the level of effort of the logistics service is estimated.
Journal Article
Share or not share: the optimal logistics service strategy in a dual-channel e-commerce supply chain
In practice, many large e-tailers share their logistics service with others, which makes a new trend of logistics service sharing (LSS) emerge. To explore the effects of LSS on firms in the dual-channel supply chain, we propose an analytical model consisting of a manufacturer and an e-tailer and further study the effects of LSS on firms’ decisions and profits. Our results show that the effects of LSS depend on the manufacturer’s logistics service disadvantage and the logistics service cost difference between the manufacturer and e-tailer. Surprisingly, we find that the manufacturer will be worse off from LSS when its logistics disadvantage is sufficiently large due to the loss of wholesale profit. However, the e-tailer can benefit from LSS when the manufacturer’s logistics service disadvantage is relatively small, or the manufacturer’s logistics service disadvantage is moderate but the logistics service cost difference is small. Moreover, such sharing can achieve a win–win situation only when the manufacturer’s logistics service disadvantage is extremely small and the logistics service cost difference is large. Finally, from the perspective of maximizing the performance of the supply chain, we explore the optimal logistic service sharing strategy, and further design a contract to encourage all supply chain members to join such sharing.
Journal Article
Selecting the Distribution System using AHP and Fuzzy AHP Methods
In this research, we present a supporting tool for decision making by designing a distribution system for a trading company of supplies for the welding industry in Mexico. The case study encompasses a distribution system with shortage problems and poor fleet capacity. To address these problems, improvement options were grouped into three possible scenarios through a third-party logistics (3PL) service. Furthermore, for the evaluation and selection of one of the scenarios, the Analytic Hierarchy Process (AHP) methodology was proposed integrating fuzzy logic as a tool for decision making, including factors of uncertainty and subjectivity as well as a comparison with traditional AHP obtaining the best scenario, meeting the requirements of the company, and showing potential improvements in the desired service level for its distribution system.
Journal Article
Collaborative innovation of wireless communication in logistics: evolution of network structure and knowledge domain
The application of wireless communication principles and scenarios in the field of intelligent logistics has triggered innovation and patent output in the wireless communication domain. This study analyses the patent network of wireless communication collaborative innovation in the logistics field, covering the period from 2000 to 2020, and identifies the main innovation entities and changes in the network structure. The number of patent holders increased from 14 individuals in 2000–2006 to 525 individuals in 2014–2020, with universities taking the lead followed by enterprises and research institutions. The node degree grew 150 times, from 6 to 1500. However, the network density decreased from 0.0659 to 0.0109, indicating that despite the increase in the number of innovation entities, the collaboration among them is not close. The overall network centrality is relatively low, but some central nodes emerged in the later stage of the study, including universities, research institutions, and state-owned enterprises. The study suggests the need to strengthen collaborative innovation activities and knowledge sharing as the network continues to expand. In terms of the distribution of underlying technologies, \"wireless communication in logistics\" primarily focuses on technologies such as NEW RADIO (NR), NEW CORE (NC), and LTE.
Journal Article
Planning city-wide delivery paths for periodical logistics tasks in smart supply chains
Conventional supply chains face challenges in reducing overall logistics costs and optimizing the consumption of logistics resources. To address these challenges, we propose a two-phase path planning method for handling periodic logistics tasks. The novelty of our approach lies in harnessing the collective power of vehicles with periodic commuting paths to minimize logistics costs, offering a practical and convenient solution for achieving smart supply chains. In the first phase, we develop an optimization model to determine the optimal delivery paths for periodic logistics tasks, with the objective of minimizing the overall cost. Leveraging the A-star algorithm, we search for suitable sequence sets of commuting vehicles within the commuting path network for each logistics task. In the second phase, we select vehicle sequences from the available sets for each task, forming a combination that can effectively accomplish all logistics tasks. To obtain the optimal solution, we employ an adaptive genetic algorithm to refine and optimize this combination. Experimental results demonstrate that our approach effectively solves the problem of periodic logistics delivery planning in smart supply chains. It achieves cost savings of 15.6% and 13.8% in two cases compared to traditional methods, showcasing its practicality and efficiency in reducing logistics costs.
Journal Article