Cloud Supply Chain Resilience Model: Development and Validation

Herrera, Andrea; Janczewski, Lech J.

doi:10.1109/hicss.2016.489

Cited by 7 publications

(12 citation statements)

References 26 publications

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“…, 2021), Indonesia (Wiyatia et al. , 2019), New Zeeland (Herrera and Janczewski, 2016) and the developing countries (Gupta, 2017). It has also been considered in light of a particular phenomenon, i.e.…”

Section: Methodology For the Literature Reviewmentioning

confidence: 99%

Next generation supply chain management: the impact of cloud computing

Gammelgaard

Nowicka

2023

JEIM

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PurposeThe purpose of this paper is to investigate the impact of cloud computing (CC) on supply chain management (SCM).Design/methodology/approachThe paper is conceptual and based on a literature review and conceptual analysis.FindingsToday, digital technology is the primary enabler of supply chain (SC) competitiveness. CC capabilities support competitive SC challenges through structural flexibility and responsiveness. An Internet platform based on CC and a digital ecosystem can serve as “information cross-docking” between SC stakeholders. In this way, the SC model is transformed from a traditional, linear model to a platform model with the simultaneous cooperation of all partners. Platform-based SCs will be a milestone in the evolution of SCM – here conceptualised as Supply Chain 3.0.Research limitations/implicationsCurrently, SCs managed holistically in cyberspace are rare in practice, and therefore empirical evidence on how digital technologies impact SC competitiveness is required in future research.Practical implicationsThis research generates insights that can help managers understand and develop the next generation of SCM with the use of CC, a modern and commonly available Information and Communication Technologies (ICT) tool.Originality/valueThe paper presents a conceptual basis of how CC enables structural flexibility of SCs through easy, real-time resource and capacity reconfiguration. CC not only reduces cost and increases flexibility but also offers an effective solution for disruptive new business models with the potential to revolutionise current SCM thinking.

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Section: Methodology For the Literature Reviewmentioning

confidence: 99%

Next generation supply chain management: the impact of cloud computing

Gammelgaard

Nowicka

2023

JEIM

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“…In a comprehensive study by Petit et al (2011), a range of different disruptions have been categorised on a global scale, based on their definition and factors causing them, in order to provide the manufacturing companies with a tool to improve their resilience. More recently, digital concepts and capabilities offered through recent advances in Industry 4.0 (Herrera and Janczewski 2016;Ivanov and Dolgui 2020;Al-Talib et al 2020;Jagtap et al 2021), in particular discrete event simulation techniques and tools have been adopted in the implementation of SCR strategies (Cigolini et al 2014;Macdonald et al 2018;Ivanov 2018;Singh et al 2020). According to Al-Aomar et al (2015) a 'system simulation model is the computer mimicking of the complex, stochastic, and dynamic operation of a real-world system, including inputs, elements, logic, controls and outputs'.…”

Section: An Overview Of Previous Research In Supply Chain Resiliencementioning

confidence: 99%

A simulation-based decision support system to improve the resilience of the food supply chain

Tsiamas

Rahimifard

2021

International Journal of Computer Integrated Manufacturing

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The rapid growth of population since 1950s has resulted in an enormous increase in demand for all kinds of manufactured goods. Manufacturing supply chains are becoming more sophisticated and complex, in particular within global food sector. At the same time, an increasing number of disruptions, ranging from those related to climate change and economic crisis as well as those associated with the socio-political turmoil and modern criminal activities such as cyber-attacks, are threatening the day-to-day operations. Although in the recent years, there have been significant advancements in supply chain management methods and tools, food manufacturers are still struggling to mitigate the possible impacts of these disruptions, leading to questions over the long-term resilience of their supply chains. This paper presents a novel framework for the improvement of food supply chain resilience and proposes a simulation-based decision support approach to aid the manufacturers to mitigate the impact of a range of unanticipated disruptions, specifically those related to climate change. The application of this framework has been demonstrated using activities of a dairy product manufacturer together with other main actors from its supply chain, namely the dairy farmers and wholesalers.

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“…Being a resilient service provider requires dynamic capabilities (Eltantawy, ; Pettit, Fiksel, & Croxton, ), enabling it to adapt to changes or threats and be competitive, flexible, agile, and robust (Ponomarov & Holcomb, ). Herrera and Janczewski () summarized the aspects of supply chain resilience as agility, responsiveness, visibility, flexibility, redundancy, structure and knowledge, reduction of uncertainty, complexity, reengineering, collaboration, integration, operation capabilities, and transparency.…”

Section: Theorymentioning

confidence: 99%

“…In this article, the work system model is used with the complementary concepts of resilience and cost. The definition and the usage of the term resilience vary in different fields of study but share some common features (e.g., agility, responsiveness, visibility, and flexibility), regardless of the field (Herrera & Janczewski, ; Ponomarov & Holcomb, ). According to Hollnagel (), in the field of safety management, resilience can be perceived as “an intrinsic ability of a system to adjust its functioning prior to, during, or following changes and disturbances, so that it can sustain required operations under both expected and unexpected conditions” (p. xxxvi).…”

Section: Introductionmentioning

confidence: 99%

Rational and participative task allocation between the nursing staff and the logistics support service provider in healthcare

Kekkonen

Pohjosenperä

Kantola

et al. 2018

Hum Ftrs & Erg Mfg Svc

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This study aims to answer how rational task allocation between the nursing staff and the support service provider in the healthcare context can increase the positive outcome of the work system. The work system model is used as a theoretical framework, with resilience and cost as complementary concepts. This qualitative case study used action research and participatory design to develop the work system with the interplay of two parallel personnel groups in the healthcare environment. First, the case of an ongoing relationship between the target organization's nursing staff and in‐house logistics and material supply services was studied. The development process resulted in a variety of practical ideas to improve the cooperation between the personnel groups. In the second case, a prospective relationship between the nursing staff and an external logistics service provider was examined. This research's conceptual results identify the main characteristics of rational support services as comprehensive, resilient, reliable, and easily accessible.

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Cloud Supply Chain Resilience Model: Development and Validation

Cited by 7 publications

References 26 publications

Next generation supply chain management: the impact of cloud computing

Next generation supply chain management: the impact of cloud computing

A simulation-based decision support system to improve the resilience of the food supply chain

Rational and participative task allocation between the nursing staff and the logistics support service provider in healthcare

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