Condition-based maintenance for major airport baggage systems

Koenig, Frank; Found, Pauline; Kumar, Maneesh; Rich, Nick

doi:10.1108/jmtm-04-2019-0144

Cited by 3 publications

(1 citation statement)

References 50 publications

(104 reference statements)

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“…Visual analytics enhances automation's human augmentation and enables better intelligence extraction from big data. For instance, the maintenance team at a major middle-eastern airport uses visual analytics to predict the health of the baggage handling system (Koenig et al ., 2021). Through “marrying” visual analytics with human augmentation of quantitative forecasting models, we can develop—and keep updating—helpful forecasts that will contribute to improved resilience in supply chains.…”

Section: Discussionmentioning

confidence: 99%

From supply chain risk to system-wide disruptions: research opportunities in forecasting, risk management and product design

Browning¹,

Kumar

Sanders

et al. 2023

IJOPM

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PurposeSupply chains must rebuild for resilience to respond to challenges posed by systemwide disruptions. Unlike past disruptions that were narrow in impact and short-term in duration, the Covid pandemic presented a systemic disruption and revealed shortcomings in responses. This study outlines an approach to rebuilding supply chains for resilience, integrating innovation in areas critical to supply chain management.Design/methodology/approachThe study is based on extensive debates among the authors and their peers. The authors focus on three areas deemed fundamental to supply chain resilience: (1) forecasting, the starting point of supply chain planning, (2) the practices of supply chain risk management and (3) product design, the starting point of supply chain design. The authors’ debated and pooled their viewpoints to outline key changes to these areas in response to systemwide disruptions, supported by a narrative literature review of the evolving research, to identify research opportunities.FindingsAll three areas have evolved in response to the changed perspective on supply chain risk instigated by the pandemic and resulting in systemwide disruptions. Forecasting, or prediction generally, is evolving from statistical and time-series methods to human-augmented forecasting supplemented with visual analytics. Risk management has transitioned from enterprise to supply chain risk management to tackling systemic risk. Finally, product design principles have evolved from design-for-manufacturability to design-for-adaptability. All three approaches must work together.Originality/valueThe authors outline the evolution in research directions for forecasting, risk management and product design and present innovative research opportunities for building supply chain resilience against systemwide disruptions.

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Section: Discussionmentioning

confidence: 99%