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نتیجه جستجو - Vaccine supply chain

تعداد مقالات یافته شده: 6
ردیف عنوان نوع
1 A Capacity Planning Approach for Sustainable-Resilient Supply Chain Network Design under Uncertainty: A Case Study of Vaccine Supply Chain
رویکرد برنامه ریزی ظرفیت برای طراحی شبکه زنجیره تأمین پایدار و قابل انعطاف تحت عدم قطعیت: مطالعه موردی زنجیره تأمین واکسن-2021
This paper introduces a multi-objective mathematical model to design a sustainable resilient supply chain based on strategic and tactical decision levels. The resolution is to proactively plan for an optimal configuration to satisfy customer demands when the firm is highly vulnerable to operational and disruption risks. Compared to previous studies, we take the application of capacity planning in terms of redundancy to design a supply chain network that is resilient toward the demand-side by an optimization framework. A real-world influenza vaccine supply chain is studied to validate the proposed model and examine the tradeoff between resilience and sustainability. A robust fuzzy optimization approach is employed to cope with uncertainties. Then, the multi-objective model is solved by applying multi-choice goal programming with a utility function approach. Accordingly, managerial insights are suggested by analyzing the effects of structural parameters on the quantitative results. It is revealed that having redundancies in the supply chain does not always increase the total costs.
Keywords: Supply Chain Network Design | Sustainability | Resiliency | Robust Fuzzy Optimization | Multi Choice Goal Programming with Utility Function.
مقاله انگلیسی
2 Strategies for ensuring required service level for COVID-19 herd immunity in Indian vaccine supply chain
راهکارهایی برای اطمینان از سطح خدمات مورد نیاز برای مصونیت گله COVID-19 در زنجیره تأمین واکسن هند-2021
Post COVID-19 vaccine development, nations are now getting ready to face another challenge: how to effectively distribute vaccines amongst the masses to quickly achieve herd immunity against the infection. According to some experts, herd immunity for COVID-19 can be achieved by inoculating 67% of the population. India may find it difficult to achieve this service level target, owing to several infrastructural deficiencies in its vaccine supply chain. Effect of these deficiencies is to cause frequent lead time disruptions. In this context, we develop a novel modelling approach to identify few nodes, which require additional inventory allocations (strategic inventory reserves) to ensure minimum service level (67%) under the possibility of lead time disruptions. Later, through an illustrative case study on distribution of Japanese Encephalitis vaccine, we identify conditions under which strategic inventory reserve policy cannot be practically implemented to meet service level targets. Nodes fulfilling these conditions are termed as critical nodes and must be overhauled structurally to make the implementation of strategic inventory policy practically viable again. Structural overhauling may entail installation of better cold storage facilities, purchasing more quality transport vans, improving reliability of transport network, and skills of cold storage manager by training. Ideally, conditions for identifying critical nodes for COVID-19 vaccine distribution must be derived separately by substituting COVID-19 specific parametric values in our model. In the absence of the required data for COVID-19 scenario, JE specific criteria can be used heuristically to identify critical nodes and structurally overhaul them later for efficiently achieving service level targets.
Keywords: Humanitarian logistics (O) | Structural resilience | COVID-19 | Lead time disruption | Herd immunity | Vaccine supply chain
مقاله انگلیسی
3 118-S03772217210
118-S03772217210-2021
: Influenza vaccine supply chains are subject to yield and demand uncertainty, which leads to the mismatch between supply and demand. This paper studies the production and procurement decisions in the influenza vaccine supply chain consisting of a manufacturer facing uncertain production yield and a social planner who faces uncertain demand and is responsible for social infection costs. We develop a novel model framework considering the risks resulting from uncertainties on both supply and demand sides that the manufacturer may delay part of delivery and the social planner may order under or over demand. Based on the framework, we first discuss the production and procurement decision-making problem in a centralized and a decentralized system. By comparing the two systems, we present the existence and extent of the inefficiency in the influenza vaccine supply chain. Further, we propose a procurement strategy that provides the social planner with two ordering opportunities and explore the conditions under which the two members would be willing to accept the strategy. The results show that such a strategy is effective on improving the influenza vaccine supply chain coordination. Additionally, considering large-scale outbreaks of influenza epidemics, we extend the models with a piecewise linear infection probability function to those with a generic one and describe the characteristics of the extended models and their solutions.
Keywords: Supply chain management | Influenza vaccines | Yield uncertainty | Demand uncertainty | Two ordering opportunities
مقاله انگلیسی
4 Challenges to COVID-19 vaccine supply chain: Implications for sustainable development goals
چالش های زنجیره تأمین واکسن COVID-19: پیامدهای اهداف توسعه پایدار-2021
The COVID-19 outbreak has demonstrated the diverse challenges that supply chains face to significant disrup- tions. Vaccine supply chains are no exception. Therefore, it is elemental that challenges to the COVID-19 vaccine supply chain (VSC) are identified and prioritized to pave the way out of this pandemic. This study combines the decision-making trial and evaluation laboratory (DEMATEL) method with intuitionistic fuzzy sets (IFS) to explore the key challenges of the COVID-19 VSC. The IFS theory tackles the uncertainty of key challenges while DEMATEL addresses the interlaced causal relationships among crucial challenges to the COVID-19 VSC. This work identifies 15 challenges and reveals that ‘Limited number of vaccine manufacturing companies’, ‘Inappropriate coordination with local organizations’, ‘Lack of vaccine monitoring bodies’, ‘Difficulties in monitoring and controlling vaccine temperature’, and ‘Vaccination cost and lack of financial support for vaccine purchase’ are the most critical challenges. The causal interactions along with mutual relationships among these challenges are also scrutinized, and implications for sustainable development goals (SDGs) are drawn. The results offer practical guidelines for stakeholders and government policy makers around the world to develop an improved VSC for the COVID-19 virus.
Keywords: COVID-19 pandemic | DEMATEL | Intuitionistic fuzzy sets (IFS) | Vaccine supply chain (VSC)
مقاله انگلیسی
5 An intelligent blockchain-based system for safe vaccine supply and supervision
یک سیستم مبتنی بر بلاکچین برای تهیه و نظارت بر واکسن های ایمن-2019
Immunization is an indispensable mechanism for preventing infectious diseases in modern society, and vaccine safety is closely related to public health and national security. However, issues such as vaccine expiration and vaccine record fraud are still widespread in vaccine supply chains. Therefore, an effective management system for the supervision of vaccine supply chains is urgently required. As the next generation of core technology after the Internet, blockchain is designed to build trust mechanisms that can change current information management methods. Meanwhile, the development of machine learning technologies provides additional ways to analyze the data in information management systems. The main objective of this study is to develop a “vaccine blockchain” system based on blockchain and machine learning technologies. This vaccine blockchain system is designed to support vaccine traceability and smart contract functions, and can be used to address the problems of vaccine expiration and vaccine record fraud. Additionally, the use of machine learning models can provide valuable recommendations to immunization practitioners and recipients, allowing them to choose better immunization methods and vaccines.
Keywords: Vaccine safety | Vaccine blockchain | Vaccine traceability | Smart contract | Machine learning
مقاله انگلیسی
6 Map of different vaccine supply chain efficiency measures
نقشه های مختلف بهره وری زنجیره تامین واکسن-2017
Although a number of seemingly disparate measures are being used to evaluate different aspects of vaccine supply chain operations, it may be unclear how they fit together and may overlap. Through our work on vaccine supply chains over the past eight years, our HERMES Team (1) assembled a list of mea sures that have been used (defined in Appendix A) [1,2]; (2) determined how these measures relate to one another; (3) grouped the measures into those that represent the supply side, demand side, and four domains that incorporate both (agility, costs, resource utilization, and demand fulfillment); and (4) added arrows to represent the relationships between the mea sures, with each connection labeled as positive (i.e. as one com ponent increases, the other component also increases) or negative (i.e. as one component increases, the other decreases). Fig. 1 shows how some measures are actually calculated or derived from other measures (e.g. total cost per dose adminis tered incorporates logistics costs, vaccine procurement costs, and doses administered). With this map, decision makers such as immunization program managers, ministries of health, and non-governmental organizations can determine whether they are collecting duplicative information, missing measuring certain domains, or could use alternative measures to capture the same or more information.
Keywords: Vaccine supply chain | Monitoring and evaluation | Efficiency measures | Operations research
مقاله انگلیسی
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