Emergency Supply Chain Research Articles

Resilient supply chain emergency management strategy of cruise ship supply based on node fails under disruptions

Resilient supply chain emergency management strategy of cruise ship supply based on node fails under disruptions

Resilient supply chain emergency management strategy of cruise ship supply based on node fails under disruptions

Resilient supply chain emergency management strategy of cruise ship supply based on node fails under disruptions

Loyalty Benefits as the Relational benefits for The Logistics Services Providers

In the last decade, the emergence of global supply chain has reshaped the role of logistics service in both scale and scope in the automotive industry. Outsourcing logistics functions have become a compelling choice of many automotive companies. In the automotive industry these days, many companies are looking at strategic advantages in logistics to reduce costs. For some, it is a near life-or-death proposition for their survival. The battle zone for these companies is in reducing inventory and supply chain costs at each transaction and for their customers in the field, on the ground and in the trenches. As the global supply chain becomes more and more complex, manufacturing companies try to ensure reliable and efficient deliveries from their suppliers as well as to their markets and customers. The success of the order fulfil goal relies very much on the services provided by Logistics Service Providers (LSPs). One of the enormous challenges facing by the LSP in automotive industry Malaysia is related to the preservation of successful relationship with car manufacturers in terms of continuation of business contract renewal. The criteria perceived by manufacturers in automotive industry might be different with perceived by other industries. For example, automotive manufacturers might focus on cost reduction to maintain their relationship with their LSP while other industries, they might consider special benefit provided by LSP as their vital point to preserve the successful relationship. Therefore, it is of utmost important, to evaluate which the most perceived criteria by manufacturers in the automobile business. In fact, there is still a void in respect of how does the manufacturer or part suppliers for automotive industries in Malaysia and LSPs work together in order to achieve mutual benefit. Keywords: Loyalty Benefits, Logistics Service Provider, Linear Regression

Research on Emergency Supply Chain Collaboration Based on Tripartite Evolutionary Game

To explore the optimal mechanism of emergency supply chain collaboration when an epidemic crisis occurs, we construct a tripartite evolutionary game model of emergency collaboration among the government, the retailer, and the supplier to explore the interaction of primary strategies and the impact of critical parameters on the evolution and stability of the system. We conduct simulation analysis based on the actual situation of China’s emergency supply chain development. The research results show that in the recognition period of the crisis, the government participates in emergency supervision and the retailer participates in emergency collaboration, but the supplier does not participate in emergency collaboration. However, in the containment period of the crisis, the government increases penalties, provides appropriate emergency subsidies, and improves the efficiency of emergency supervision, which are conducive to promoting the supplier’s participation in emergency collaboration. In the recovery period of the crisis, as the benefits of both the retailer and the supplier participation in emergency collaboration increase, the government will withdraw from emergency supervision gradually. Moreover, the weaker the risk of supply chain enterprises participating in emergency collaboration, the more reasonable the distribution of the collaboration benefits, and the more conducive to the spontaneous emergency collaboration of the retailer and the supplier.

Risk Prevention of E-Commerce Supply Chain Financial Market Based on High-Performance Computing

As an emerging industry, e-commerce mainly relies on online platforms to provide products and services for enterprises and consumers, and it has its own risks in the development of supply chain finance. When developing an online business, it can rely on the support of developed logistics and physical stores, which has its special advantages in operating supply chain finance, but at the same time, it also brings special business risks. With the rapid development of economic level in recent years, the application of EC Supply Chain has become more and more extensive. The emergence of EC Supply Chain has injected strong vitality into the financial market, but at the same time, the EC Supply Chain financial business is also facing huge risks. For cross-border import e-commerce companies, the core of the supply chain is the source of goods and logistics. Enterprises have more resources, which means that they have more initiative in the fierce competition, and a stable and perfect supply chain will be the core competitiveness of the cross-border import e-commerce industry. The purpose of this paper is to study how to prevent risks in the EC Supply Chain financial market based on high-performance computing. This paper puts forward the importance of high-performance computing and the significance of EC Supply Chain development and proposes preventive measures against financial market risks in EC Supply Chain. From the data in the experimental part of this paper, it can be known that the development trend of the risk generated by the EC Supply Chain in 2010 accounted for 6.9%. By 2015, the percentage of the development trend of EC Supply Chain risk was 17.9%, an increase of 11%. It can be seen that the development of EC Supply Chain risk is very rapid, so how to prevent the financial market risk of EC Supply Chain is very urgent. From the data, it can be seen that the exogenous risk in the e-commerce supply chain has a score of 7.4–8.4 for market risk, a score of 7.7–9.1 for economic risk, and the highest score for economic risk. Risk is the biggest risk factor. The characteristics of supply chain risk are not only complex, diverse, and uncertain but also transitive and virtual.

Supply chain design for industrial additive manufacturing

PurposeThis study extends and refines the current knowledge on emerging supply chain designs (SCDs) for industrial additive manufacturing (AM) and manufacturing firms' rationales in selecting them.Design/methodology/approachFollowing an exploratory research design, a multiple-case study is conducted in the context of industrial AM. It focuses on two key dimensions of SCD, the geographic dispersion and governance structure. Four cohesive AM SCD configurations are characterized and form the basis for exploring the rationales for the SCD decision of manufacturing firms.FindingsThe findings indicate that manufacturing firms' SCD for industrial AM depends on the trade-off between economies of scale in a centralized setting and the market potential from customer proximity realized by decentral AM. Furthermore, the control of suppliers and the reevaluation of manufacturing firms' core competencies guide the governance choice. Many of the identified rationales currently drive manufacturing firms toward in-house AM at a centralized location or distributed AM in a secure, firm-owned network.Practical implicationsThe arguments for the AM SCD choices are illustrated. They provide guidance for managers of manufacturing firms when implementing industrial AM.Originality/valueThe study reveals and enhances the understanding of why the extant academic expectation of decentralized and outsourced AM is not sufficiently reflected in current industry practice. Thereby, the study provides a basis for elaborative decision-support research on AM SCDs.

Challenges to maintaining disaster relief supply chains in island communities: disaster preparedness and response in Honolulu, Hawai’i

Due to global warming and rising sea levels, Honolulu, Hawai’i—a city on a remote island in the Pacific Ocean—is becoming more vulnerable to climate disasters. This article utilizes a mixed-method approach to investigate the challenges of maintaining disaster relief supply chains in the face of the emerging risks to Honolulu. We conduct eighteen in-depth interviews with key emergency management stakeholders to understand current approaches to supply chain risk management. Based on the research, three main challenges influence disaster preparedness in Hawai’i. First, the physical location of the island and the spatial distribution of risk, assets, and capabilities supporting emergency relief present large, unusual constraints not found in other jurisdictions. Second, the challenges of supply chain management, planning, communications and coordination are exacerbated during disruptions and disaster events. Unlike other states, with neighboring, contiguous jurisdictions, there are severe limitations to mutual aid and assistance from outside sources. Third, our research has also identified cultural challenges associated with social, political, and economic development and change. Stronger institutional collaboration both within the state and beyond its boundaries are key to increased supply chain resilience and effective response and recovery from disasters. We conduct social network analysis focusing on measures of density, degree, betweenness, and centrality to better understand the status and gaps in institutional collaboration. The social network analysis reveals that the current levels of collaboration are relatively low with significant gaps between government agencies and the private sector, as well as limited vertical collaborations with respect to supply chain management between federal, state and local partners. There is a need for stronger leadership with deeper engagement across stakeholders. A pathway forward includes: (1) vulnerability analyses focused on private sector supply chain management and public sector transport hubs, networks, and facilities, (2) exercises and training on emergency supply chain management, and (3) longer-term actions to support sustainability, self-sufficiency, local production, and community resilience. Our research is relevant not just to Hawai’i and other island and isolated communities but also to communities threatened by supply chain disruptions.

Unleashing the potential of digital technologies in emergency supply chain: the moderating effect of crisis leadership

PurposeThe stakeholders are now demanding more visibility and role clarity in the emergency supply chain to improve collaborative efforts. Using a contingent resource-based view (C-RBV), the author studies crisis leadership as a complementary organizational resource for the successful adoption of digital technologies (DTs) in the emergency supply chain. The author further examined the relationships between DTs on information visibility and collaboration under the moderating effects of crisis leadership.Design/methodology/approachThe author gathered data from 117 NGOs in India using a multi-informant questionnaire. The author further tested the research hypotheses using variance-based structural equation modeling (PLS-SEM).FindingsDTs under the interaction effect of crisis leadership have a significant influence on the information visibility and the collaboration in the humanitarian context. The findings of the study extend the C-RBVs to create a better understanding of applications of DTs in alleviating human suffering due to crises.Practical implicationsThe author provides some direction to the managers engaged in the humanitarian supply chain, contemplating using emerging technologies to enhance information visibility and collaboration.Originality/valueThe current study offers some useful implications for theory. The study findings suggest that the DTs under the moderating effect of the crisis leadership significantly improve the information visibility and the collaboration among the emergency supply chain relief workers. These findings contribute to the C-RBV literature by expanding the scope of the theory. To date, the C-RBV is yet to be explored in humanitarian or emergency settings. Further, the study empirically tests the moderating role of crisis leadership which is touted to be the game-changer, particularly in crises or emergencies.

Why emerging supply chain technologies initially disappoint: Blockchain, IoT, and AI

In this paper, we explore why users’ experiences with emerging supply chain technologies comprise inflated expectations followed by disappointment in the early stages of adoption, as per the Gartner Hype Cycle. We used “affordance theory” to study how managers perceive emerging technologies to explain their adoption experience. Affordance theory indicates that perceived benefits—and goals and constraints—depend on the interaction between technology and the users, not on the technology alone. First, we used the literature for two purposes: first, to obtain characteristics of blockchain, Internet of Things (IoT), and artificial intelligence (AI) as emerging technologies; and second, to itemize generic goals, affordances, and constraints in adopting any supply chain technology. Next, we asked 400+ supply chain managers to select those affordances, constraints, and goals that they viewed as pertinent to their organizations’ supply chains for whichever of these three technologies they were implementing. Finally, we compared the responses across technologies for individual respondents (who selected more than one technology) and within the pool of respondents. We found that respondents who selected more than one technology made distinct selections individually for the different technologies relevant to them. The pooled responses across all respondents, however, prioritized the aggregated goals, affordances, and constraints in the same way, regardless of the technology, the organization, or the network features of the supply chain. Overall, it appears that the characteristics of the technology do not inform user expectations at the early stages of adoption. This initial disconnect—between characteristics and expectation—may explain the “inflated expectations” followed by the early “trough of disappointment” with emerging technologies in the Gartner Hype Cycle, as users focus on obtaining the same benefits for the supply chain from any new emerging technology. Only subsequent shared experiences can lead to the long “slope of enlightenment.”

Research on Emergency Cooperative Scheduling Model and Algorithm

AbstractIn view of the sudden increase of the demand of emergency supplies in the downstream of the emergency supply chain which is caused by the impact of emergencies, the paper proposes a coordinated emergency scheduling method because it is impossible to simply rely on the capacity of emergency supplies in the upstream of the supply chain. In this paper, we analysed the structure of the emergency collaborative supply chain system, and the nonlinear model of multi-region collaborative emergency dispatching is established is the paper. Finally, the corresponding genetic algorithm is designed to solve the key collaborative problem.

Location Allocation Collaborative Optimization of Emergency Temporary Distribution Center under Uncertainties

Emergencies cause uncertainty in supply chain environment and risks of disruption. Mitigating such risks in emergency supply chain relies on efficient relief material distribution, and in the distribution logistics system, emergency facility location interacts with material allocation clearly. This paper aims to provide a collaborative optimization for the location allocation of temporary emergency distribution centers, with objectives of minimizing rescue time and maximizing demand satisfaction rate. A location allocation model of emergency logistics is formulated by considering uncertain demand and supply information at the response stage of disaster relief. The model is solved by a plant growth simulation algorithm. At last, the feasibility and effectiveness of the model and algorithm in practical application are verified by evaluating a case of COVID-19 prevention and control in Handan city. This paper provides references for decision makers to accomplish the location allocation of emergency facilities and material distribution when dealing with actual situations.

The Importance of Food Attributes and Motivational Factors for Purchasing Local Food Products: Segmentation of Young Local Food Consumers in Hungary

Future trends in sustainable food consumption include the emergence of short food supply chains and growing interest in local food products. Among the drivers are the more urgent sustainability expectations, the emphasis on environmental and social responsibility, and the changing consumer needs, of which the desire for healthy and quality products, curiosity, uniqueness, and experience are the most prominent drivers. Today’s customers are becoming more aware and open to culinary discoveries and exotic delights. In this study, we investigated the importance of product attributes related to local products, and the motivational factors that determine purchase intentions. The significance of our work lies in the fact that we have studied young consumers’ intrinsic and extrinsic motivational factors. A quantitative consumer survey was conducted using a hybrid data collection method on a sample of 1756 respondents aged between 18 and 45 years. The questionnaire focused on product features, intrinsic and extrinsic motivational elements, and demographic characteristics. The results of our study provide strong evidence that the features associated with local products include but are not limited to the following: freshness, high quality, nutritional value, reliability, safety, evoking domestic flavours, naturalness, being healthy, environmentally friendly, etc. The motivational elements were grouped into four factors: hedonism, curiosity, nutritional value, and tradition. The main reasons for young respondents purchasing local food were taste and curiosity. Based on the results of the cluster analysis, we formed three groups having different features and different motivations for purchasing local products. Moreover, we had the opportunity to understand the attitudes and perceptions of young people towards buying local products. A key result of our study is that the “value-creators” segment considers local products to be healthy and nutritious.

Blockchain-based Supply Chain Traceability for COVID-19 personal protective equipment

The COVID-19 pandemic has severely impacted many industries, in particular the healthcare sector exposing systemic vulnerabilities in emergency preparedness, risk mitigation, and supply chain management. A major challenge during the pandemic was related to the increased demand for Personal Protective Equipment (PPE), resulting in critical shortages for healthcare and frontline workers. This is due to the lack of information visibility combined with the inability to precisely track product movement within the supply chain, requiring a robust traceability solution. Blockchain technology is a distributed ledger that ensures a transparent, safe, and secure exchange of data among supply chain stakeholders. The advantages of adopting blockchain technology to manage and track PPE products in the supply chain include decentralized control, security, traceability, and auditable time-stamped transactions. In this paper, we present a blockchain-based approach using smart contracts to transform PPE supply chain operations. We propose a generic framework using Ethereum smart contracts and decentralized storage systems to automate the processes and information exchange and present detailed algorithms that capture the interactions among supply chain stakeholders. The smart contract code was developed and tested in Remix environment, and the code is made publicly available on Github. We present detailed cost and security analysis incurred by the stakeholders in the supply chain. Adopting a blockchain-based solution for PPE supply chains is economically viable and provides a streamlined, secure, trusted, and transparent mode of communication among various stakeholders.

A Sustainable Model for Emergency Medical Services in Developing Countries: A Novel Approach Using Partial Outsourcing and Machine Learning.

IntroductionUnlike Western countries, many low- and middle-income countries (LMIC), like India, have a de-centralized emergency medical services (EMS) involving both semi-government and non-government organizations. It is alarming that due to the absence of a common ecosystem, the utilization of resources is inefficient, which leads to shortage of available vehicles and larger response time. Fragmentation of emergency supply chain resources motivates us to propose a new vehicle routing and scheduling model equipped with novel features to ensure minimal response time using existing resources.Materials and MethodsThe data set of medical and fire-related emergencies from January 2018 to May 2018 of Uttarakhand State in India was provided by GVK Emergency Management and Research Institute (GVK EMRI) also known as 108 EMSs was used in the study. The proposed model integrates all the available EMS vehicles including partial outsourcing to non-ambulatory vehicles like police vans, taxis, etc., using a novel two-echelon heuristic approach. In the first stage, an offline learning model is developed to yield the deployment strategy for EMS vehicles. Seven well researched machine learning (ML) algorithms were analyzed for parameter prediction namely random forest (RF), convolutional neural network (CNN), k-nearest neighbor (KNN), classification and regression tree (CART), support vector machine (SVM), logistic regression (LR), and linear discriminant analysis (LDA). In the second stage, a real-time routing model is proposed for EMS vehicle routing at the time of emergency, considering partial outsourcing.Results and DiscussionThe results indicate that the RF classifier outperforms the LR, LDA, SVM, CNN, CART and NB classifier in terms of both accuracy as well as F-1 score. The proposed vehicle routing and scheduling model for automated decision-making shows an improvement of 42.1%, 54%, 27.9% and 62% in vehicle assignment time, vehicle travel time from base to scene, travel time from scene to hospital, and total response time, respectively, in urban areas.

Supply chain disclosure: stakeholder preferences versus current practice in Australia

AbstractSupply chain reporting has gained increased scrutiny as companies expand their global supplier networks, address climate change risks/opportunities and with the recent introduction of modern slavery legislation. The question remains as to whether supply chain disclosures address stakeholder requirements. We compare the supply chain disclosure preferences of 20 stakeholders with current disclosure practice for a sample of large listed companies in Australia. We contribute to the emerging supply chain disclosure literature by documenting the factors driving and hindering supply chain disclosure. Further, we offer theoretical and policy implications arising from analysis of stakeholder preferences, drivers and challenges to supply chain reporting.

Research on the sustainability of emergency supply chain based on evolutionary game and catastrophe theory

In the post-COVID-19 era, the market for emergency medical supplies has shrunk, and related production capacity is rapidly overcapacity.The supply chain is at risk of interruption. First, we analyzed the decision-making behavior of supply chain members from the perspective of evolutionary game, and used the probability density function to transform the game model into a sharp mutation model; secondly, we simulated the impact of factors such as cooperative income on catastrophe phenomena; finally, we introduced capacity reserves to advise on the sustainability of emergency supply chains. The results show that: ①There is a set of divergence points in the emergency supply chain system. When the parameter combination is located in the set sum, the system is prone to mutation phenomenon; ②Before the supply chain state changes abruptly, the cooperation income of the supply chain is increased, and the initial cooperation among members is improved. Probability is the main idea to ensure the sustainability of the supply chain; ③Capacity reserves are conducive to stabilizing cooperation among members, but factors such as reserve scale should also be avoided in the collection of divergence points.

Adaptive model to increase resilience for emerging supply chains within the circular economy – “Zirkelmesser” an innovative case study

Variations in quantity, quality and time availability of input materials pose a major risk to circular supply chains (CSC) and require new models for creating and evaluating adaptive and resilient CSC in the circular economy (CE). This can be achieved through consistent modelling of the overarching relationship between resource input- and output streams, without neglecting the associated risks.The model proposed below consists of five components based on five resilience requirements for supply-chains (SCs). It provides a data-based recommended course of action for managers with a low entry-barrier. It consists of a CSC visualization, safety stock calculation, risk monitoring for each SC node, reporting logic, and a measurement catalogue. The inspiration for this model came from an innovative case study (“Zirkelmesser”) in the metal processing industry, where secondary products and materials are used to produce new products. Here, the problem of maintaining the resource supply arose and led to resilience issues. The mentioned case study serves as an application example for the model application and contributes to making emerging circular supply chains predictable and more controllable, thus increasing their resilience.

Emerging Supply Chain of Pork and the Opportunities for Small-Scale Raisers in Catbalogan City in the Philippines

Emerging Supply Chain of Pork and the Opportunities for Small-Scale Raisers in Catbalogan City in the Philippines

Supply chain issues in small and medium retailing: a systematic review and future research agenda

The research on small and medium (SME) retailing has several dimensions, among which the supply chain issues have gained significant attention. The objectives of this review are: 1) to identify the major and emerging supply chain issues in SME retailing using keyword co-occurrences; 2) to find the commonly used modelling approaches in different SME retail sectors; 3) to propose a framework to map the future research avenues. The co-word analysis resulted in the identification of four major ongoing research themes, namely 'consumer behaviour', 'supply chain', 'customer value', and 'food retailing', while 'service quality' is identified as an emerging theme. Among the major research themes, 'food retailing' has received recent attention, especially among the developing countries. Regression, factor analysis, structural equation modelling and descriptive statistics are the most commonly used modelling approaches. Practitioners and decision-makers could use the supply chain issues identified to develop further strategies for improving SME retailers' performance.

Dual‐Source Procurement Strategies of Emergency Materials Considering Risk Attitudes

The uncertainty of emergencies makes the emergency procurement face many risks, so the risk management is particularly important of the emergency procurement. The risk attitude of decision makers will significantly affect the decision‐making of risk management. In this paper, the risk management problem with different risk attitudes of emergency procurement consisting of dual‐source suppliers and the single government is studied, and a government‐led Stackelberg game is used to analyze the risks of each link to establish an emergency procurement model under the option contract, and the optimal decision‐making is obtained. The effects of reserve period, risk avoidance coefficient, and probability of emergency on optimal decision‐making are analyzed with different risk attitude. Moreover, we investigate the coordination of the government‐led supply chain coordination under the risk aversion and risk‐neutral conditions of emergency supply chain participants. The results show that the model can control the risk while reducing the cost of government procurement and ensuring the revenue of suppliers. Finally, the influence of each parameter on the optimization decision is verified by a numerical example.