Enterprise IT service downtime cost and risk transfer in a supply chain

Wang, Shaun S.; Franke, Ulrik

doi:10.1007/s12063-020-00148-x

Cited by 17 publications

(12 citation statements)

References 51 publications

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“…For maintaining competitiveness, AFSC must consist of either operational flexibility or have safety stocks of agri-food even if there is shutting down of entire logistics and processing activities. Therefore a flexible AFSC network needs to be designed for aligning its strategies and practises to adjust natural disruption risks in term of both technological and other practises (Li and Zobel 2020 ; Wang and Franke 2020 ). Therefore, a digitised coordination system is required fordeveloping AFSC resilience.…”

Section: Discussion Of Findingsmentioning

confidence: 99%

Internet of things (IoT) based coordination system in Agri-food supply chain: development of an efficient framework using DEMATEL-ISM

Yadav

Luthra²,

Garg

2020

Oper Manag Res

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Supply Chain Management (SCM) is one of the key aspects of making agriculture sector more competitive in India. India and other developing countries arefacing issues for coordination of their Agriculture Food Supply Chain Management (AFSCM) as not having technical and resources support; especially in natural disaster condition like recent COVID-19 outbreak. The purpose of this research is to develop anInternet of Things (IoT) based efficient and supportive coordinating system for enhancing the coordinating mechanism in AFSC under natural outbreaks. With the help of a literature review and experts' inputs, seven enablers have been identified by grouping thirty sub enablers. Further, ISM methodology has been employed for developing a framework for enablers' relationships to improve the coordination in the AFSC for taking strategic and operational decisions. After that, DEMATELtechnique is utilised to develop the causal and effectrelationships between all the identified enablers of a coordination system in IoT based AFSC. It has been noticed that'Top Management Support (TMS)' is the main driver by MICMAC analysis and categorised in a cause group based on (R-C) value. Further, the coordination index of the entire model is calculated based on the Cleveland theory. This paper also discussed a case study of the sugar mill industry. This paper also discussed stakeholder theory in developing IoT based coordination system of AFSC. Further, theoretical contribution may also guide the managers of the organisation in developing their strategies by using Strengths-Weaknesses-Opportunities-Threats (SWOT) analysis based on Cleveland index. Keywords COVID-19. Internet of things (IoT). Agriculture food supply chain (AFSC). DEMATEL. Coordination index

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Section: Discussion Of Findingsmentioning

confidence: 99%

Internet of things (IoT) based coordination system in Agri-food supply chain: development of an efficient framework using DEMATEL-ISM

Yadav

Luthra²,

Garg

2020

Oper Manag Res

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“…Another example of how digital technologies may enhance resilience in the supply chain is mentioned by Gajek et al (2020) when arguing that Artificial Intelligence impacts the analysis and decision-making resources along the chain, consequently increasing confidence in resilience aspects. Wang and Franke (2020) and Dutta et al (2020) also point out the digital technologies to improve security in the supply chain. Belhadi et al (2021) highlight the importance of Big Data Analytics (BDA) in SCM, providing real-time information on various activities; regarding the pandemic, authors mention that BDA helped overcome challenges posed by COVID-19.…”

Section: Definition Of the Elements Associated With Resilience In Scmmentioning

confidence: 99%

Resilience in the supply chain management: understanding critical aspects and how digital technologies can contribute to Brazilian companies in the COVID-19 context

Martins

Anholon

Filho

et al. 2021

MSCRA

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PurposeThe present study aims to identify the most critical elements of resilience in the management of supply chains of Brazilian companies and, in the sequence, debate possible digital technologies mentioned by literature to enhance them.Design/methodology/approachTo identify the most critical elements, the information provided by qualified academics was used. Data analysis was performed through Cronbach’s alpha coefficient, hierarchical cluster analysis and Fuzzy TOPSIS approach.FindingsComparatively, the results pointed out three elements of resilience as the most critical in managing supply chains. They are the decision-making (understood as the definitions from the layout of the chain’s operations network to the choice of warehouse locations, distribution centres and manufacturing facilities), human resources (understood as management for human resources development and knowledge management through training) and security (understood as issues related to information technology for data security). For each of them, bibliographic research was performed to identify technologies that enhance these elements of supply chain management resilience.Originality/valueThe results presented here can significantly contribute to the expansion of debates associated with resilience in managing supply chains of Brazilian companies and directing researchers in the area.

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“…Business-critical enterprise applications (EAs) hosted on cloud and on-premises in domains ranging from healthcare and finance to logistics and manufacturing require continuous availability to ensure that service delivery is undisrupted. If the availability of such applications is disrupted for even a short time, the consequences can be severe, such as significant financial loss 1,2,3,4,5 . The term high availability (HA) refers to how availability can be improved by providing continuous availability.…”

Section: Introductionmentioning

confidence: 99%

Predicting locally manageable resource failures of high availability clusters

Somasekaram

Călinescu

2022

Softw Pract Exp

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Critical services from domains as diverse as finance, manufacturing and healthcare are often delivered by complex enterprise applications (EAs). High-availability clusters (HACs) are software-managed IT infrastructures that enable these EAs to operate with minimum downtime. This paper presents a novel Bayesian decision network model to improve the failure detection capabilities of the HACs components using a comprehensive set of characteristics for the analysed component. The model then combines these characteristics to predict whether the failure of this component can be managed locally at the failed component level without propagating the failure to upper-level components and causing a complete system failure. By improving the detection capabilities and predicting locally manageable failures, the model improves the decision-making process of HACs, and has the potential to reduce the downtime and improve availability for the applications protected by HACs. The model uses the capabilities of the Bayesian decision networks, which combines Bayesian networks with the utility theory, to assign weights to different characteristics and consolidate the related variables to output the result. The model evaluation in a realistic testbed environment with three servers, an established HAC and a well-known EA shows that the model can improve the area under the Receiver Operating Characteristic (ROC) curve for prediction of locally manageable failures by up to 9.05% compared to the baseline HAC results.

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Enterprise IT service downtime cost and risk transfer in a supply chain

Cited by 17 publications

References 51 publications

Internet of things (IoT) based coordination system in Agri-food supply chain: development of an efficient framework using DEMATEL-ISM

Internet of things (IoT) based coordination system in Agri-food supply chain: development of an efficient framework using DEMATEL-ISM

Resilience in the supply chain management: understanding critical aspects and how digital technologies can contribute to Brazilian companies in the COVID-19 context

Predicting locally manageable resource failures of high availability clusters

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