Resilience Assessment of System Process Through Fuzzy Logic: Case of COVID-19 Context

Said, Saloua; Bouloiz, Hafida; Gallab, Maryam

doi:10.25046/aj0505150

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…It has been established in the scientific literature that coupling control, a strategy for ensuring system performance, with resilience to deal with change under uncertainty allows the creation of an optimized system (Hoekstra et al, 2018). In our earlier works, we have addressed a variety of topics, including the relationship between resilience and response capability in the context of unfavorable occurrences, as well as the benefits of enhancing resilience on resources (Said et al, 2019) and process functioning optimization (Said et al, 2020). All of which is to say that resilience may be thought of as a universal and all-encompassing indicator, which can embrace and satisfy all the crucial features of any organization (new venture or already existing system).…”

Section: Resultsmentioning

confidence: 99%

New model for making resilient decisions in an uncertain context: The rational resilience-based decision-making model (R2DM)

Said

Bouloiz

Gallab

2023

Decis. Mak. Appl. Manag. Eng.

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The present paper came into existence with the specific purpose of providing an optimized process that enables making resilient decisions in an uncertain context, and here our interest is particularly focused on the activity of new venture creation and on the entrepreneurial decision-making logic, in particular, effectuation theory. Within this framework, the rational resilience-based decision-making model (R2DM) is introduced. The relevant steps of this model are: (1) The identification of the problem and the available options. In this instance, the studied situation is the effectual customer co-creation case, and the available alternatives are planning, visionary, adaptative and transforming approaches, (2) The definition of the selection criteria that should be used to evaluate the available alternatives. In our case, these criteria are the six principles of entrepreneurial resilience, which are set out in detail, (3) The choice of the methodology to be followed in assessing the available options. To that end, three interconnected methods, based mainly on logical thinking and reasoning, are proposed. They are respectively devoted to Entrepreneurial resilience (ER) calculation, options classification using logistic regression algorithm, and the determination of the most resilient route to reach objectives employing graph theory. The obtained results are compared to what is advocated in the literature and conclusions are made.

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Section: Resultsmentioning

confidence: 99%

New model for making resilient decisions in an uncertain context: The rational resilience-based decision-making model (R2DM)

Said

Bouloiz

Gallab

2023

Decis. Mak. Appl. Manag. Eng.

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A quantitative approach to resilience in manufacturing systems

Alexopoulos

Anagiannis

Nikolakis

et al. 2022

International Journal of Production Research

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Maintenance Strategies Definition Based on Systemic Resilience Assessment: A Fuzzy Approach

Durán¹,

Vergara²

2022

Mathematics

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The present paper aims to provide production systems with a decision-making tool that allows the assessment of the resilience of their equipment, processes and/or sub systems and, certainly, the system itself. The ultimate goal is to detect the critical points of a production system in order to gain strength, efficiency and resilience to face new and existing threats and challenges. In this regard, this paper presents a model that aims to calculate the resilience score of a process from various parameters and to rate it on the resilience scale using linguistic terms. In order to manage uncertainty, a fuzzy model has been put forward with the objective of being an integral tool of maintenance strategy surveillance and definition. Finally, and towards putting into practice the proposed model, a real case study, in the context of mining operations, is presented. This will help the process identify the areas/equipment for improvement and afterwards overcome weaknesses that may affect the entire system’s resilience. The aforementioned model provides great support to the decision-making process in the field of plant maintenance strategies and physical asset management. We believe that the main impact of this proposal is that through the use of this type of decision tool, the correct definition of maintenance strategies and the appropriate selection of system topologies could be made regarding the systemic resilience as an overall objective.

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Resilience Assessment of System Process Through Fuzzy Logic: Case of COVID-19 Context

Cited by 3 publications

References 16 publications

New model for making resilient decisions in an uncertain context: The rational resilience-based decision-making model (R2DM)

New model for making resilient decisions in an uncertain context: The rational resilience-based decision-making model (R2DM)

A quantitative approach to resilience in manufacturing systems

Maintenance Strategies Definition Based on Systemic Resilience Assessment: A Fuzzy Approach

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