Search

This article proposes a novel design of a disaster relief blood supply chain network with multiple echelons and multiple products. It incorporates: (1) the blood donors’ behavior and preference for the selection of facilities where the blood donation takes place, (2) an estimating the quantity of the injured people under each disaster scenario, (3) the inherent uncertainty in input parameters and (4) the remaining capacity for satisfying the demand affected by the disruption in blood facilities (i.e., both blood collection and production centers). To incorporate the utility of blood collection facilities, a utility assessment approach, called Logit model, is developed, which measures the donors’ preference. The disrupted capacity and the number of injured people under each disaster scenario are estimated based on the disaster severity, the distance from the disaster (particularly earthquake) epicenter and the civil infrastructure. The uncertainty of parameters (e.g., cost parameters as well as blood supply and demand) along with the disruption in blood facilities are two unavoidable concerns of disaster relief blood supply chain planning. Accordingly, to handle the parameters under mixed uncertainty, a new approach which is two-stage stochastic-robust is utilized. Finally, using real data of a case study in Iran, the presented formulation and its solution approach are examined. The obtained results demonstrate that the related managers should be aware of blood donors’ behavior, injured people in disaster, and the effect of disruption in the blood supply chain network design. Moreover, when it comes to the uncertainty of parameters, the obtained results from the robust model overcome those of deterministic one. Finally, based on findings, applicable managerial insights are derived for the decision-makers in blood supply chain network design for disaster relief cases.

Viscoelastic (VE) dampers are one of the most promising techniques for reducing vibration in engineering structures caused by earthquakes and wind. This work aims to develop a kind of high-...

Blockchain is an innovation developed to encourage money exchange transactions and take out the requirement for a trusted third party to legally approve and confirm such exchanges to ensure information security and protection. New structures of blockchains have been intended to suit the requirement for this technology in different fields, for example, e-health, the travel industry, and energy. This chapter is concerned about the utilization of blockchains in overseeing and sharing electronic health and medical records to permit patients, emergency clinics, centers, and other stakeholders to share information among themselves and increment interoperability. The choice of the design of the blockchains utilized relies upon the elements chipping in the constructed chain network. In spite of the fact that the utilization of blockchains may decrease redundancy and give guardians reliable records about their patients, it accompanies a few difficulties, which could encroach patients’ security or possibly bargain the entire system of partners. In this chapter, we examine distinctive blockchain structures through various sections like blockchain in healthcare today, how it is changing the future of healthcare, and the benefits of blockchain. The chapter also deals with the implementation and challenges of blockchain in healthcare sector.

The fundamental way to reduce the risk of bird strike is to manage the ecological environment of the airport and its surrounding areas and affect the ecological chain of birds. Based on a comprehensive survey of animal and plant populations in Meizhou airport, an airport ecological chain network is established, and a improved cascading failure model in coupled map lattices is introduced to simulate the robustness and vulnerability of the network. It is found that airport ecological network will be collapsed around five time series one after another under the external attack. It also shows that the network will have a global breakdown under a very small external perturbation value when Solanum indicum L. and Callidium villosulum Fairmaire are deliberately attacked. The simulation results show that if the airport authorities give priority to governance these populations of animals and plants with higher in-degree, it may reduce bird strike risk. The analysis results provide a theoretical basis for airport bird strike prevention.

Current studies reveal that the sharing economy has faced new barriers and issues in its development, such as the trust and privacy issues. By integrating theories of sharing economy and service science, in our work “Service quality management of online car-hailing based on PCN in the sharing economy”, we explored how to deal with the service issues of online car-hailing based on process chain network (PCN). We also studied services in the sharing economy at three different levels: the personal behavior, the platform’s service and the regulations. With service-dominant logic replacing product-dominant logic, we suggest that research in the sharing economy and e-commerce calls for further systematical application of important service science theories and should make use of emerging technologies to develop new research methods.

This paper introduces a modelling environment for service design that currently supports 5 different notations (Business Model Canvas, e3value, Service Blueprint, Process Chain Network and BPMN). Besides, the tool supports the generation of partial views of models based on a particular notation from models made with another one, along with the corresponding relations model.

The purpose of this paper is designing blood supply chain network in disaster situation considering blood groups and expiration dates. In the proposed network, there are blood collection centers, labs for quality assurance and producing blood products, and hospitals. Donors refer to blood collecting centers. These centers receive blood from donors and transfer to labs. After required tests, labs send blood products to hospitals. In the proposed model of this study, a blood product, i.e. plasma is considered. The proposed model is a MIP model which minimizes the total cost of the network, including: the establishment cost of facilities, cost of transportation, and cost of holding inventory. Furthermore, uncertainty in demand has been considered using different scenarios. Moreover, in order to meet the demand, blood groups and plasma expiration date have also been investigated. Finally, the efficiency of the proposed model is investigated using random problems in different dimensions.

In the background of the existing medical system, the medical information of most medical institutions in China is not Shared, which leads to individual health records scattered in different medical institutions so that it is difficult to realize the effective integration of personal health records and further use for follow-up medical services. This paper presents a multi-layered block chain network for individual-oriented health care records storage and management. It has features that includes decentralized, tamper resistant and multi nodes maintenance. It manages the relationship of each node and achieves the secure storage and sharing sparseness of health records through the unique consensus mechanism that is distinct from the common blockchain network, so as to resolve the existing health problems.

With the development of computer technology and the popularization of network, network brings great convenience to colleagues and risks to people from all walks of life all over the world. The data in the network world is growing explosively. Various kinds of intrusions are emerging in an endless stream. The means of network intrusion are becoming more and more complex. The intrusions occur at any time and the security threats become more and more serious. Defense alone cannot meet the needs of system security. It is also necessary to monitor the behavior of users in the network at any time and detect new intrusions that may occur at any time. This will not only make people's normal network needs cannot be guaranteed, but also face great network risks. So that people not only rely on defensive means to protect network security, this paper explores block chain network intrusion detection system. Firstly, the characteristics of block chain are briefly introduced, and the challenges of block chain network intrusion security and privacy are proposed. Secondly, the intrusion detection system of WLAN is designed experimentally. Finally, the conclusion analysis of block chain network intrusion detection system is discussed.

The purpose of this paper is to explore the high-order themes to information sharing in sustainable value chain network (SVCN) with a focus on the applications of Internet of things (IoT) as an enabling innovative technology from the perception of the expert community. This research is an inductive study and adopts a multi-case study strategy in the context of smart transportation for freight flow in the UK. Twenty semi-structured interviews are conducted with experts in smart transportation projects. The phenomenon of information sharing is enabled by effective innovative technologies such as IoT. A conceptual framework is constructed by the themes of IoT applications and information sharing in SVCN.

This paper addresses the design of a blood supply chain (SC) network considering blood group compatibility. To this aim, a bi-objective mathematical programming model is developed which minimises the total cost as well as the maximum unsatisfied demand. Due to uncertain nature of some input parameters, two novel robust possibilistic programming models are proposed based on credibility measure. The data of a real case study are then used to illustrate the applicability and performance of the proposed models as well as validating the proposed robust possibilistic programming approach. The obtained results show the superiority of the developed models and significant cost savings compared to current existed blood SC network.

South Africa is characterised by an interdependent, three-sphere system of co-operative government. To foster coordination and co-operation in this system requires alignment of government programme...

These days, it seems to be a core time to build proactive prevention systems for small and medium sized enterprises due to the reinforced safety in the production process and the strong environmental regulations (ES) both at home and abroad. On the other hand, a network of experts that combines the industrial environment and production safety as well as even the knowledge services companies are not quite enough to prepare to support them. In this study, through a survey of experts the current statue of the convergence of industrial environment and production safety were reviewed, and the structure of knowledge ES cluster was proposed to overcome this current state. Detailed strategies such as the development and distribution of ES convergence methodology, ES efficiency analysis and an ES roundtable.

International audience; This paper focuses on developing a mathematical model that covers the entire hydrogen supply network. The classical hydrogen supply chain network design (HSCND) model is integrated with the hydrogen fueling station planning (HFSP) model to generate a new formulation. The proposed model considers the feedstock supply, the installation and operation of hydrogen facilities, the operation of transportation technologies, and the carbon capture and storage (CCS) system. Two primary hydrogen fueling technologies, namely on-site fueling (hydrogen is produced on-site) and standard fueling (hydrogen is delivered by road), are considered. The problem is formulated as a mixed-integer linear programming (MILP) model that minimizes the least cost of hydrogen (LCOH). The necessity of considering various components within a single framework is demonstrated through a case study in Franche-Comté, France. The role of each key model component (such as the fueling technology, feedstock transportation, and CCS system) is analyzed. The proposed model is capable of studying the interactions that exist between different parts of a hydrogen supply network. Consequently, more comprehensive construction plans for the HSCN are guaranteed.

Sahâbah are narrators who occupy a prime position among other narrators of hadith chain network. In the absence of a companion is not possible news about the directions of the Prophet can come up to the next generation of Muslims. Fair (It is of râwî) nature narrator of hadith is a necessary condition that must be owned by a person who wants to tell you all about the prophet Muhammad and convey what he said. Conditions to be met, such as the hadith placed as a second source of Islam after the Koran. Unlike the case with the general history of transmitters qualifying was not so contentious. This is because the presentations of the history of society tend to be aimed at mere knowledge, is the news of the prophet in connection with religion. The emergence of groups often caused by differing views. No exception to the emergence of the Sunnî and Shî‘ah, who to this day are still debating the truth claims. Then this article will discuss the background of the emergence of a group, it will provide clarity about what the objective to be achieved

In this paper, we present a multitiered competitive supply chain network model for the blood banking industry, with a focus on the United States, that captures the economic interactions between three tiers of stakeholders; namely, the blood service organizations, the hospitals or medical centers, which transfuse blood to patients, and the payer groups that patients belong to. In addition, the supply chain framework for this life-saving product includes the competition among blood service organizations and their various supply chain activities. We model the behavior of each category of stakeholder and use the theory of variational inequalities to derive the equilibrium conditions for the entire supply chain. Illustrative examples are provided, along with qualitative properties, followed by an algorithm, accompanied by convergence results, that is used to solve simulated numerical examples. Results from these examples demonstrate that such a model can be effectively used to determine the prices and blood pathways from blood service organizations to hospitals to payers.

University campus is a place where bicycles are used a lot and there are many people choosing bicycle as their vehicle, with the increase of users, the vast volume of bicycles also brings high pressure on the entire campus bicycle service system and causes many problems, the existing service system could no longer meet users’ demands. This thesis targets the university bicycle service system as the research target, adopts the service design theory as the fundamental support, takes contact as the entry point, integrates service design method to develop research, and establishes service system process chain network (PCN) model to supplement and improve research results.

The design of a future hydrogen supply chain (HSC) network is challenging due to the: (1) involvement of many echelons in the supply chain network, (2) high level of interactions between the supply chain components and sub-systems, and (3) uncertainty in hydrogen demand. Most of the early attempts to design the future HSC failed to incorporate all these challenges in a single generic optimization framework using mathematical modeling approach. Building on our previous multiperiod MILP model, the model presented in this paper is expanded to take into account uncertainty arising from long-term variation in hydrogen demand using a scenario-based approach. The model also adds another echelon: fueling stations and local distribution of hydrogen. Our results show that the future HSC network is somewhat similar to the existing petroleum infrastructure in terms of production, distribution, and storage. In both situations, the most feasible solution is centralized production plants with truck and rail delivery and small-to-large storage facilities. The main difference is that the future hydrogen supply has the benefits of using distributed forecourt production of hydrogen at local fueling stations via several production technologies. Finally, the performance of the studied models was evaluated using sensitivity and risk analyses.

The harmonic component introduced by the high-speed electric multiple units(EMUs) can cause resonance phenomenon in traction networks. A similar resonance accident occurred when the novel CRH380 Series EMUs were running in the Beijing-Shanghai high-speed railway. According to the operation parameters, this paper built the chain network model of the traction power supply system and analysed the influence of harmonic current using the matrix calculation function of MATLAB. The model was based on the uniform transmission lines analysis and combined the characteristics of the multi-conductor transmission. The reason of the accident was analyzed and a reliable strategy to solve the resonance problems was proposed.

The internal frequencies of chain network of FHN neurons include two different frequencies, namely, the intrinsic and Canard frequency. When the frequency of external stimuli approaches to the values of these two frequencies, signal processing in the chain will be enhanced. In traditional medical of Chinese acupuncture, signals evoked by different manipulations follow certain tracts to reach different target tissues. So it is reasonable to establish a chain network of FHN neurons to mimic the tract for frequency study.

Wi-Fi mesh networking (WMN) has emerged as a promising technology for providing cost-effective ubiquitous broadband coverage. Despite the many advantages that this technology can offer, various questions still remain on its performance. In this paper, we analyze the performance of WMN basic building block, i.e. the multi-hop chain network using the emerging multi-radio system. Quality of service (QoS) performances of two popular multimedia applications; Voice/UDP and Web/TCP with varying client densities, hop counts, etc, are investigated.

Resource allocation on a supermarket chain network in shopping malls is modeled by a Multi-Agent System describing competition and cooperation between branches of companies. Shops are occupied by one of two companies, B (black) or W (white) and they compete with each other for domination. Fluctuation in the market share is measured as a function of noise, which is a result of advertisement and discount between competing agents. Existence of a critical value of noise level where competition drives large fluctuation in the market share is demonstrated by results in Monte Carlo simulation.