An Application of Combined Fuzzy MCDM Techniques in Structuring Disaster Resilience Indicators for Small and Medium Enterprises: A Case Study

Fatrias, Dicky; Hendrawan, Dodi; Fithri, Prima; Rusman, Muhammad

doi:10.1109/iea.2019.8715085

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…To reach this goal, nine different criteria were evaluated by three different people who are experts in this field. While making an analysis with fuzzy logic, the qualification of the experts plays an essential role [63,64]. The details of the experts are demonstrated in Table 2.…”

Section: Discussionmentioning

confidence: 99%

Analysis of Strategic Directions in Sustainable Hydrogen Investment Decisions

Yüksel

et al. 2020

Sustainability

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This study seeks to find the appropriate strategies necessary to make sustainable and effective hydrogen energy investments. Within this scope, nine different criteria are defined regarding social, managerial, and financial factors. A hesitant, interval-valued, intuitionistic fuzzy (IVIF) decision-making trial and evaluation laboratory (DEMATEL) methodology is considered to calculate the degree of importance of the criteria. Additionally, impact relation maps are also generated to visualize the causality relationship between the factors. The findings indicate that the technical dimension has the greatest importance in comparison to managerial and financial factors. Furthermore, it is also concluded that storage and logistics, research and development, and technological infrastructure are the most significant factors to be considered when defining hydrogen energy investment strategies. Hence, before investing in hydrogen energy, necessary actions should be taken to minimize the storage and logistic costs. Among them, building the production site close to the usage area will contribute significantly to this purpose. In this way, possible losses during the transportation of hydrogen can be minimized. Moreover, it is essential to identify the lowest-cost hydrogen storage method by carrying out the necessary research and development activities, thereby increasing the sustainability and effectiveness of hydrogen energy investment projects.

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Section: Discussionmentioning

confidence: 99%

Analysis of Strategic Directions in Sustainable Hydrogen Investment Decisions

Yüksel

et al. 2020

Sustainability

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“…Other efforts have been made towards the development of fuzzy mathematical models, such as that defined in [30] for assessment of organisational resilience potential in small to medium-sized enterprises (SMEs) of the process industry. Other studies use fuzzy Delphi techniques such as [2], which defined an integrated Delphi-fuzzy logic framework for measuring SC resilience, and [31] which applied fuzzy Delphi mechanisms and a fuzzy best-worst method to identify and prioritize the relevant disaster resilience indicators for SMEs. A fuzzy linear programming enterprise input-output model was developed in [32] to determine optimal adjustments in production levels of multi-product systems when a crisis is induced by a loss of resource inputs.…”

Section: L4 Lack Of Optimisationmentioning

confidence: 99%

Optimising the Preparedness Capacity of Enterprise Resilience Using Mathematical Programming

2020

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In today’s volatile business arena, companies need to be resilient to deal with the unexpected. One of the main pillars of enterprise resilience is the capacity to anticipate, prevent and prepare in advance for disruptions. From this perspective, the paper proposes a mixed-integer linear programming (MILP) model for optimising preparedness capacity. Based on the proposed reference framework for enterprise resilience enhancement, the MILP optimises the activation of preventive actions to reduce proneness to disruption. To do so, the objective function minimizes the sum of the annual expected cost of disruptive events after implementing preventive actions and the annual cost of such actions. Moreover, the algorithm includes a constraint capping the investment in preventive actions and an attenuation formula to deal with the joint savings produced by the activation of two or more preventive actions on the same disruptive event. The management and business rationale for proposing the MILP approach is to keep it as simple and comprehensible as possible so that it does not require highly mathematically skilled personnel, thus allowing top managers at enterprises of any size to apply it effortlessly. Finally, a real pilot case study was performed to validate the mathematical formulation.

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