产出不确定性下的供应链绩效评价研究

首先分析绩效评价、供应链计划和供应链未来绩效的关系,接着对传统的DEA模型进行拓展,通过引入概率密度函数和风险系数,将产出不确定性问题转化为确定性问题加以研究,构建产出不确定性情形下的供应链绩效评价模型,提高了供应链计划的效率。     

The role of control power allocation in service supply chains: Model analysis and empirical examination

In complex and competitive business environment, there have been many examples of supply chain members fighting for power. Therefore, researchers have begun focusing on the impact of control power allocation on the supply chain. This paper examines the allocation of power in different service supply chain relationships, analyzing the impact of service level on optimal control power allocation and comparing the differences between the optimal power distribution in service supply chains and that of manufacturing supply chains. We adopt a mathematical model building method to discuss this issue, verifying the theoretical perspectives through empirical studies of China's largest state-owned logistics company, the China Railway Company, and the private ownership enterprise, Tianjin SND Logistics Company. We also develop a conceptual model of the influence of control power on the performance of service supply chains, based on the modeling and case analysis. The conceptual model shows several results: the control power allocation determines the dominant structure of the supply chain; the service provider's wholesale pricing strategy and the service integrator's sales price strategy present different outcomes under various dominant structures of the supply chain, which will greatly affect the performance of the corresponding supply chain; and the relationship between the supply chain dominant structure and the price can be adjusted by the service level.     

A new vaccine supply chain network under COVID-19 conditions considering system dynamic: Artificial intelligence algorithms

With the discovery of the COVID-19 vaccine, what has always been worrying the decision-makers is related to the distribution management, the vaccination centers' location, and the inventory control of all types of vaccines. As the COVID-19 vaccine is highly demanded, planning for its fair distribution is a must. University is one of the most densely populated areas in a city, so it is critical to vaccinate university students so that the spread of this virus is curbed. As a result, in the present study, a new stochastic multi-objective, multi-period, and multi-commodity simulation-optimization model has been developed for the COVID-19 vaccine's production, distribution, location, allocation, and inventory control decisions. In this study, the proposed supply chain network includes four echelons of manufacturers, hospitals, vaccination centers, and volunteer vaccine students. Vaccine manufacturers send the vaccines to the vaccination centers and hospitals after production. The students with a history of special diseases such as heart disease, corticosteroids, blood clots, etc. are vaccinated in hospitals because of accessing more medical care, and the rest of the students are vaccinated in the vaccination centers. Then, a system dynamic structure of the prevalence of COVID -19 in universities is developed and the vaccine demand is estimated using simulation, in which the demand enters the mathematical model as a given stochastic parameter. Thus, the model pursues some goals, namely, to minimize supply chain costs, maximize student desirability for vaccination, and maximize justice in vaccine distribution. To solve the proposed model, Variable Neighborhood Search (VNS) and Whale Optimization Algorithm (WOA) algorithms are used. In terms of novelties, the most important novelties in the simulation model are considering the virtual education and exerted quarantine effect on estimating the number of the vaccines. In terms of the mathematical model, one of the remarkable contributions is paying attention to social distancing while receiving the injection and the possibility of the injection during working and non-working hours, and regarding the novelties in the solution methodology, a new heuristic method based on a meta-heuristic algorithm called Modified WOA with VNS (MVWOA) is developed. In terms of the performance metrics and the CPU time, the MOWOA is discovered with a superior performance than other given algorithms. Moreover, regarding the data, a case study related to the COVID-19 pandemic period in Tehran/Iran is provided to validate the proposed algorithm. The outcomes indicate that with the demand increase, the costs increase sharply while the vaccination desirability for students decreases with a slight slope.     

A socio-economic optimization model for blood supply chain network design during the COVID-19 pandemic: An interactive possibilistic programming approach for a real case study

In uncertain circumstances like the COVID-19 pandemic, designing an efficient Blood Supply Chain Network (BSCN) is crucial. This study tries to optimally configure a multi-echelon BSCN under uncertainty of demand, capacity, and blood disposal rates. The supply chain comprises blood donors, collection facilities, blood banks, regional hospitals, and consumption points. A novel bi-objective Mixed-Integer Linear Programming (MILP) model is suggested to formulate the problem which aims to minimize network costs and maximize job opportunities while considering the adverse effects of the pandemic. Interactive possibilistic programming is then utilized to optimally treat the problem with respect to the special conditions of the pandemic. In contrast to previous studies, we incorporated socio-economic factors and COVID-19 impact into the BSCN design. To validate the developed methodology, a real case study of a Blood Supply Chain (BSC) is analyzed, along with sensitivity analyses of the main parameters. According to the obtained results, the suggested approach can simultaneously handle the bi-objectiveness and uncertainty of the model while finding the optimal number of facilities to satisfy the uncertain demand, blood flow between supply chain echelons, network cost, and the number of jobs created.     

服务供应链及其体系结构研究

对国内外的研究现状做了比较系统的梳理和总结,在此基础上提出了服务供应链理论的体系结构,分析和讨论了服务供应链研究和实施的主要内容。     

Impact of epidemic outbreaks (COVID-19) on global supply chains: A case of trade between Turkey and China

COVID-19 has negative impacts on supply chain operations between countries. The novelty of the study is to evaluate the sectoral effects of COVID-19 on global supply chains in the example of Turkey and China, considering detailed parameters, thanks to the developed System Dynamics (SD) model. During COVID-19 spread, most of the countries decided long period of lockdowns which impacted the production and supply chains. This had also caused decrease in capacity utilizations and industrial productions in many countries which resulted with imbalance of maritime trade between countries that increased the freight costs. In this study, cause and effect relations of trade parameters, supply chain parameters, demographic data and logistics data on disruptions of global supply chains have been depicted for specifically Turkey and China since China is the biggest importer of Turkey. Due to this disruption, mainly exports from Turkey to China has been impacted in food, chemical and mining sectors. This study is helpful to plan in which sectors; the actions should be taken by the government bodies or managers. Based on findings of this study, new policies such as onshore activities should consider to overcome the logistics and supply chain disruptions in global supply chains. This study has been presented beneficial implications for the government, policymakers and academia.     

考虑质量风险的养老服务供应链契约研究

服务质量是养老服务的重要因素。针对我国养老问题,结合养老服务供应链思想,通过建立单集成商、多合作性提供商的质量风险模型,研究集成商和提供商之间不同质量激励合同对服务质量和供应链收益等要素的影响,探讨了合同成立的潜在条件,并分析了合同内变量之间存在的潜在关系。发现在满足一定条件时,适当的激励系数会使得提供商产生合作关系、提高风险防范水平并增加供应链各部分收益。对供应链风险环境下有效激励合同的建立提供一定理论依据。     

An empirical analysis: Did green supply chain management alleviate the effects of COVID-19?

Supply chain management played a central role during the COVID-19 crisis, as the outbreak of the pandemic disrupted the majority of all global supply chains. This paper tests whether companies that use green supply chain management (GSCM) practices benefited from a buffer effect in the context of COVID-19. Our empirical analysis, conducted on a sample of U.S. companies, shows that GSCM companies experienced less negative abnormal stock returns during the crisis. This result contributes to the literature on financial impact of GSCM, finding that GSCM is perceived as an effective risk management tool and can serve as an effective drug against COVID-19 crisis. Our paper also contributes to the business debate on the role of green supply chains in the post-COVID19 world.     

Improving agility and resilience of automotive spares supply chain: The additive manufacturing enabled truck model

The global supply chain disruption by the COVID-19 pandemic is difficult, if not impossible, to estimate as over 94% of the top 1000 fortune companies were badly affected. The need for building resilient supply chains to mitigate the effect of such disruptions is rising rapidly than ever before across the global business spectrum. Building resilience in the automotive spare parts (ASPs) supply chain is critically important as any disruption to automotive spares supply chain will affect the operations of the logistics sector, the backbone of global supply chains. This research work contributes to improving the resilience of the automotive spare parts supply chain by proposing a Viable Supply Chain (VSC) framework design that incorporates Additive Manufacturing (AM) enabled trucks in the automotive spares supply chain network. Based on the proposed model, conceptual case models are developed and tested with proposed AM enabled truck manufacturing closer to end customer. A heuristic approach called shortest time heuristic is also proposed to solve the routing and scheduling of an AM enabled truck to deliver customers’ orders of the spare parts through an online platform. Importantly, the study demonstrate how additive manufacturing can help the ASPs industry to switch from the existing practice of make-to-stock to a more efficient inventory management and cost saving make-to-order model while also achieving resilience and sustainability in by providing a source of spares support for discontinued models of vehicles.     

Supply chain immune system: concept,framework, and applications

Behind every product and service is a supply chain. These supply chains are extremely complex and vulnerable to multifarious risks that threaten their performance and stability, ranging from simple machine or truck breakdowns to catastrophic natural disasters. This paper presents a novel framework for supply chain risk management based on the analogy of the biological immune system, which has multiple layers of increasing sophistication to neutralise a variety of risks. The various layers include: physical barriers, innate response, and adaptive response. The working of the framework is explained with an illustrative semiconductor supply chain. Applications of this framework include short-term disruption response and long-term immunisation, providing planner and manager level insights respectively.     

Gaining from disorder: Making the case for antifragility in purchasing and supply chain management

The purchasing and supply chain management (P&SCM) discipline assumes that supply chains are fragile systems, hence taking a “negative” approach toward disorder. Building on Taleb’s concept of antifragility—the ability to gain from disorder rather than avoiding it—, we challenge this traditional assumption. The COVID-19 pandemic has revealed that some companies were indeed able to gain from disorder, whereas some of those that focused too much on robustness and resilience lost ground. Building robust and resilient supply chains may no longer be enough to thrive in today’s highly volatile business world. This article sparks a new debate by introducing antifragility to the P&SCM literature and provides new directions for future research.     

中国医药供应链现状分析

中国医药行业近年来发展迅速,医药供应链成为大家关注的焦点。通过对18家国内著名医药相关企业负责人和供应链管理专家进行调研和沟通,并结合相关资料,对中国医药供应链现状进行深度分析,提出结构复杂、缺乏集成度、IT系统使用效果等中国医药供应链特有的问题和现象,并对医药供应链优化提供建议,包括大型龙头企业、政府的推动作用以及构建第三方平台等。     

Strategies to develop a sustainable and resilient vaccine supply chain in the context of a developing economy

Developing a vaccine supply chain (VSC) is an intricate process due to product perishability issues and cross-border supply complexities. On top of that, developing a pandemic-driven VSC is more challenging due to having significant operational, infrastructural, and policy-related disruptions. From the perspective of a developing economy such as Bangladesh, handling the global COVID-19 pandemic through the proper establishment of a VSC has been disrupted by a multitude of organizational, economic, and policy barriers. This has hindered the process of establishing a resilient VSC let alone ensuring the sustainability of the supply chain (SC). Therefore, this study strives to identify the key VSC strategies and their interrelationships under four groups: Intra-organizational, Inter-organizational, Legislative, and Environmental, based on previous literature and the expert opinions of industrial practitioners and policymakers. 20 strategies are ranked, and their causal relationships are discussed using the fuzzy DEMATEL method. This study utilizes the fuzzy set theory to deal with the vagueness of human beings' perceptions, and the DEMATEL method to form a structural model to find out the cause (influencing and independent) and effect (influenced and dependent) relationships among different strategies. The outcome of this study shows that ‘developing local production facilities for vaccines’, ‘creating extensive governmental policy to ensure efficient distribution of vaccines’, ‘ensuring sustainable investment in vaccine manufacturing and distribution’, ‘integrating advanced data analytics for robust and resilient demand prediction’ and ‘promoting public-private-people partnership for sustainable investment’ are the most prominent strategies. The findings provide stakeholders and policymakers with a practical framework for developing a sustainable VSC prepared for any virus outbreak, such as COVID-19, while also achieving the Sustainable Development Goals (SDGs).     

Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda

Sustainability has emerged as an important industrial strategic outlook expanding beyond organizational boundaries to include the supply chain. Simultaneously, the industry has also been faced with supply chain resilience concerns. Research on the intersection of supply chain sustainability and resilience is nascent and is a consequence of their observed mutual influences. However, confusion about concepts, implementation methods, and measurements of sustainable and resilient supply chains remains. This study completes a systematic literature review that critically examines several major observations and directions. We find the concept of sustainable supply chains is more established, and general agreement on its theoretical foundations exists. Supply chain resilience is relatively less mature. The nexus and relationships between the two topics are often incoherent: there is confusion on sustainable and resilient supply chains establishment; there is no clarity on what practices could jointly advance both areas. A major conflict exists since sustainability generally focuses on efficiency, while resilience seeks effectiveness. We recommend studies to analyze implementation relationships and impact. We also observe that performance measurement systems should be developed to assess supply chain sustainability and resilience performance taking with explicit consideration time horizons considered in these measures.     

集成GIS的供应链结构模型探析

当今，信息技术日新月异，如何利用它们重组和优化供应链，降低动作成本，提高客户的服务水平和整条供应链的竞争能力将是一个刻不容缓的问题，把GIS技术应用于供应链管理之中日益受到关注和重视。本文首先介绍了地理信息系统（GIS）的相关知识和供应链的通用结构模型：据此构建了集成GIS的供应链结构模型：并从表现形式、查询检索、决策分析、高度集成等几方面分析了新模型的特征，对GIS在供应链管理中的具体应用具有一定的指导和借鉴意义。     

实物期权中的Dixit-Pyndick模型在供应链定价中的运用研究

随着分工的进一步加深和管理理论的进一步发展,现代物流业及供应链管理为企业带来效益的同时,由于供应链中各个阶段决策者个人价值取向的不同,其中表现为产品定价问题,定价问题关系到企业的收益。文章针对产品定价问题,运用实物期权的Dixit-Pyndick模型基本理论和方法进行了分析,表明我们在产品定价决策时要充分考虑产品本身的机会成本价值,从而把握好产品定价机会获取更好的收益。     

Reshaping healthcare supply chain using chain-of-things technology and key lessons experienced from COVID-19 pandemic

The COVID-19 (Corona virus disease 2019) pandemic continues to slash through the entire humanity on the earth causing an international health crisis and financial uncertainty. The pandemic has formed a colossal disruption in supply chain networks. It has caused piling higher mortality in patients with comorbidities and generated a surging demand for critical care equipment, vaccines, pharmaceuticals, and cutting-edge technologies. Personal protective equipment, masks, ventilators, testing kits, and even commodities required for daily care have been scarce as lockdown and social distancing guidelines have kicked in. Amidst COVID-19, implementing and executing key processes of the healthcare supply chain (HSC) in a secured, trusted, effective, universally manageable, and the traceable way is perplexing owing to the fragile nature of the HSC, which is susceptible to redundant efforts and systemic risks that can lead to adverse impacts on consumer health and safety. Though the crisis shone a harsh light on the cracks and weaknesses of the HSC, it brings some significant insights into how HSC can be made more resilient and how healthcare industries figure out solutions to mitigate disruptions. While there are innumerable experiences learned from the disruption of this crisis, in this paper, five important areas to analyze the most vital and immediate HSC enhancements including building a resilient supply chain, thinking localization, implementing reliable reverse logistics, breaking down extant silos to achieve end-to-end visibility, and redesigning HSC using digitalization are emphasized. This work identifies important features related to CoT and HSC. Also, this study links these lessons to a potential solution through Chain of Things (CoT) technology. CoT technology provides a better way to monitor HSC products by integrating the Internet of Things (IoT) with blockchain networks. However, such an integrated solution should not only focus on the required features and aspects but also on the correlation among different features. The major objective of this study is to reveal the influence path of CoT on smart HSC development. Hence, this study exploits (i) fuzzy set theory to eliminate redundant and unrelated features; (ii) the Decision-Making and Experimental Evaluation Laboratory (DEMATEL) method to handle the intricate correlation among different features. This fuzzy-DEMATEL (F-DEMATEL) model attempts to direct CoT technology towards smart HSC by identifying the most influencing factors and investors are recommended to contribute to the development of application systems. This work also demonstrates how CoT can act a vital role in handling the HSC issues triggered by the pandemic now and in the post-COVID-19 world. Also, this work proposes different CoT design patterns for increasing opportunities in the HSC network and applied them as imperative solutions for major challenges related to traditional HSC networks.     

基于灰聚类的企业供应链风险研究

供应链作为一种参与市场竞争的有效模式,已经被许多企业接受。但是,由于供应链结构的特点,使得供应链存在很大的风险。文章利用灰聚类模型对企业的供应链风险进行评估．使得企业能够较清醒地认识到所处的风险程度。     

The Role of Green Collaborative Strategies in Improving Environmental Sustainability in Supply Chains: Insights from a Case Study

This article aims to quantify to what extent collaborative strategies are more effective than internal or organization‐level actions to green supply chains. In this regard, the impact of decisions made at different stages of a supply chain in a product's carbon footprint is quantified. Organizational and product carbon footprints are calculated using the Compound Method Based on Financial Accounts (MC3). The results underline that concentrating reduction efforts in some stages of the supply chain is more effective than implementing individual actions by the participants. Collaboration among the participants is needed to decide what practices are implemented, at what stage they are needed and how they are to be implemented. This article adds to the literature on supply chains and sustainability. Previous research suggests that collaborative strategies have great potential for reducing the carbon footprint of products, while indicating the need for empirical research to support this statement. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

港口供应链评价指标体系研究-基于层次分析法

在借鉴国内外供应链评价和港口供应链集成的关键性指标研究的基础之上,根据层次分析法的原理选择了四项准则16项指标构建了港口供应链评价指标体系,通过对港口供应链节点企业的问卷调查进行实证分析,最终得到各项评价指标的权重与排序,并得出如下主要结论:在四项评价准则中,货物运转能力是最重要的方面,而后依次为客户满意度评价、协调能力和发展潜力;在16项评价指标中,最重要的三项指标分别是服务质量、多式联运能力和货物通关能力。