BP and Deepwater Horizon: A Catastrophe from a Resilience Perspective

Oudhuis, Margaretha; Tengblad, Stefan

doi:10.1007/978-981-10-5314-6_5

Cited by 5 publications

(3 citation statements)

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“…The great majority of organizational resilience research reduces this empirical complexity by narrowing the focus to an organization's capacity to deal with a certain disruption (Linnenluecke, 2017). Because disasters and other unexpected events are analysed retrospectively (e.g., Coutu, 2002;Weick and Sutcliffe, 2011;Oudhuis and Tengblad, 2018), there is limited knowledge on how organizational resilience is maintained in daily processes (without disasters) or how organizational resilience is maintained over time. Moreover, the focus has mainly been on actions undertaken after an unexpected event has occurred; that is, "how the crisis is dealt with".…”

Section: Introductionmentioning

confidence: 99%

Building traits for organizational resilience through balancing organizational structures

Andersson

Cäker

Tengblad

et al. 2019

Scandinavian Journal of Management

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This paper describes and explains how balancing organizational structures can build traits for organizational resilience. Organizational resilience is a holistic and complex concept. In this paper, we move beyond focusing on sudden and disruptive events in favour of anticipating the unexpected in daily organizing. Organizational resilience is understood here as building traits of risk awareness, preference for cooperation, agility and improvisation and is analysed by means of a longitudinal qualitative case study. The paper contributes to the field by showing how balancing organizational structures can foster organizational resilience traits. We show that power distribution and normative control can create preparedness for unexpected events and foster action orientation at the same time as supporting organizational alignment.

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Section: Introductionmentioning

confidence: 99%

Building traits for organizational resilience through balancing organizational structures

Andersson

Cäker

Tengblad

et al. 2019

Scandinavian Journal of Management

Self Cite

131

123

View full text Add to dashboard Cite

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“…In contrast to anoxia, not all events that are of interest have a spreading nature. While tragedies like oil spills move through the water body (Oudhuis and Tengblad, 2018), an aircraft crash (Kaiser, 2014) is an example of an event of interest that does not spread. In this paper we assume that an event can be detected easily using simple thresholding of some parameters.…”

Section: Discussionmentioning

confidence: 99%

Collective Event Detection Using Bio-inspired Minimalistic Communication in a Swarm of Underwater Robots

Varughese¹,

Hornischer²,

Thenius³

et al. 2019

The 2019 Conference on Artificial Life

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Mobile sensor networks and robotic swarms are being used for monitoring and exploring environments or environmental events due to the advantages offered by their distributed nature. However, coordination and self-organization of a large number of individuals is often costly in terms of energy and computation power, thus limiting the longevity of the distributed system. In this paper we present a bio-inspired algorithm enabling a robotic swarm to collectively detect anomalies in environmental parameters in a self-organized, reliable and energy efficient manner. Individuals in the swarm communicate via 1-bit signals to collectively confirm the detection of an anomaly while minimizing energy spent for communication and taking measurements. This algorithm is specifically designed for a swarm of underwater robots called "aMussels" to examine a phenomenon referred to as "anoxia" which results in oxygen depletion in the lagoon of Venice. We present the algorithm, conduct simulations and robotic experiments to examine the performance of the algorithm with respect to early detection of anoxia while minimizing energy consumption.

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“…), one can argue that major industrial accidents have indicated the critical role of early warning-signals, preaccident details, and non-attended data towards the mitigation of exposed risks. For example, detailed analyses of more recent Fukushima Daiichi Nuclear Power Plant [6,7,8], and Deepwater Horizon blowout accidents [9,10], unveil a range of abnormalities and deviations that had given some form of early indications prior to the disaster that had not been duly attended. Arguably, such early indications of abnormalities and potential deviations are vital information of modern complex assets that can be used smartly to inform operators early and promptly about potential conditions that can lead to unwanted events and incidents.…”

Section: Introductionmentioning

confidence: 99%

Dealing with abnormalities and deviations to enhance resilience in engineering Assets: A critical review from human factors and decision-making perspectives under complex operational contexts

Bakhshandeh,

Liyanage

2023

IOP Conf. Ser.: Mater. Sci. Eng.

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With the growing scale of industrial demands, complexities, and uncertainties around asset engineering and operations due to advanced technology utilization, digitalization, sustainability, new operating models, etc., the sensitive role of abnormalities and deviations towards human safety, systems security, reliability and resilience of engineering assets and industrial systems are becoming even more significant for modern industrial sectors as well as societies in general. In these contexts, the abilities of operators to capture and sense-make early signals that emerge from engineering assets and systems need more attention since it enables them to enhance critical situation awareness (SA) during complex operations. This calls for proactive solutions that can integrate core data with operator knowledge using suitable logical approaches, particularly in a period where there is growing recognition that asset data can provide strong support for engineering and operational decisions in demanding contexts. Based on an ongoing research project, this paper sheds light on abnormalities and deviations; two specific attributes that should be better understood. The purpose is to explore how to capitalize them at very early sense-making stages to enhance situation awareness and thus resilience of dynamic and complex engineering assets and systems. Through a critical review of the current state of knowledge, together with industrial observations, this paper studies these core concepts in detail with due attention to the critical need of so-called priory contextual knowledge and hybrid contextual decision solutions. This R&D work explores proactive possibilities to mitigate inherent potentials for unwanted events and incidents to enhance resilience in the era of digital twins and cyber-physical systems, where complex technologies and operational demands generate new conditions for asset performance.

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BP and Deepwater Horizon: A Catastrophe from a Resilience Perspective

Cited by 5 publications

References 0 publications

Building traits for organizational resilience through balancing organizational structures

Building traits for organizational resilience through balancing organizational structures

Collective Event Detection Using Bio-inspired Minimalistic Communication in a Swarm of Underwater Robots

Dealing with abnormalities and deviations to enhance resilience in engineering Assets: A critical review from human factors and decision-making perspectives under complex operational contexts

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