Conceptualising a supply and demand resilience methodology: A hybrid DEMATEL-TOPSIS-possibilistic multi-objective optimization approach

Mohammed, Ahmed; Naghshineh, Bardia; Spiegler, Virginia; Carvalho, Helena

doi:10.1016/j.cie.2021.107589

Cited by 37 publications

(10 citation statements)

References 68 publications

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Section: Methodsmentioning

confidence: 99%

“…TOPSIS is a multi-criteria decision-making approach, as shown in Figure 2, that discovers the optimum option from a group of alternatives by minimizing the distance between the ideal and least desirable solutions and maximizing the distance between them. 23,24 TOPSIS logic was used to define the positive and negative ideal solutions. The positive ideal solution maximizes the performance while minimizing constraints, whereas the negative ideal solution maximizes the constraints while minimizing the performance.…”

Section: Design Of Experimentsmentioning

confidence: 99%

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Tool and formability multi-response optimization for ultimate strength and ductility of AA8011 during axial compression

Ravichandran

Rajenthirakumar

Sahayaraj

2022

Advances in Mechanical Engineering

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Friction stir incremental forming is a dieless forming process achieved through the severe plastic deformation of sheet metals by localized heat through tool friction with sheet metal. Tool rotation contributes significantly to determining the local heat generation and deformation of the sheets. In this study, a novel attempt was made to improve the desired surface quality with minimum tool wear using three different tool coatings. To identify the optimal parameters, process factors such as spindle speed, step size, and table feed were considered with two response parameters forming force and surface roughness. A total of 27 experiments based on a full factorial design were performed. During this optimization using TOPSIS, parameters are selected based on which FSIF parts should attain the minimum forming force and surface roughness. Based on the results obtained, the titanium nitride coating in the tool enhanced the surface roughness and increased the maximum formability. This study provides an optimal parameter setting for AA8011 and an understanding of the friction stir effect during the incremental forming process.

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Section: Methodsmentioning

confidence: 99%

Section: Design Of Experimentsmentioning

confidence: 99%

Tool and formability multi-response optimization for ultimate strength and ductility of AA8011 during axial compression

Ravichandran

Rajenthirakumar

Sahayaraj

2022

Advances in Mechanical Engineering

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“…Incorporating MADM methods for site selection projects is prevalent among operations researchers ( Yang et al, 2021 , Ye et al, 2021 ). We studied prior research on how MADM methods can be used for sustainable supplier evaluation ( Lo et al, 2021 ), development of an integrated programming approach (D. Liu et al, 2020 ), and supply-demand resilience ( Mohammed et al, 2021 ). Such potential MADM methods can be categorized into decision matrix and pairwise comparison methods.…”

Section: Literature Reviewmentioning

confidence: 99%

How, When, & Where temporary hospitals fit in turbulent times: A hybrid MADM optimization in the middle east

Yazdi

Muneeb

Hanne

et al. 2023

Computers & Industrial Engineering

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“…The authors considered the social, environmental, and financial aspects as the sustainability factors and adopted the backup supplier strategy as the resiliency factor. Mohammed et al ( 2021a , b ) employed the decision-making methods to investigate the supply and demand resilience. In this regard, the authors developed a hybrid method based on the DEMATEL and technique for order of preference by similarity to ideal solution (TOPSIS) approaches to quantify the resilience of suppliers and their performance.…”

Section: Literature Reviewmentioning

confidence: 99%

Designing a dairy supply chain network considering sustainability and resilience: a multistage decision-making framework

Zarei-Kordshouli,

Paydar,

Nayeri

2023

Clean Techn Environ Policy

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The crucial role of sustainable development and resiliency strategies is undeniable in today’s competitive market space, especially after the Coronavirus outbreak. Hence, this research develops a multistage decision-making framework to investigate the supply chain network design problem considering the sustainability and resiliency dimensions. In this way, the scores of the potential suppliers based on the sustainability and resilience dimensions were calculated using the MADM methods, and then, these scores were applied as inputs in the proposed mathematical model (the second stage), which determined which supplier should be selected. The proposed model aims to minimize the total costs, maximize the suppliers' sustainability and resiliency, and maximize the distribution centers' resiliency. Then, the proposed model is solved by the preemptive fuzzy goal programming method. Overall, the main objectives and aims of the current work are to present a comprehensive decision-making model that can incorporate the sustainability and resilience dimensions into the supplier selection and supply chain configuration processes. In general, the main contributions and advantages of this work can be summarized as follows: (i) this research simultaneously investigates the sustainability and resiliency concepts in the dairy supply chain, (ii) the current work develops an efficient multistage decision-making model that can evaluate the suppliers based on the resilience and sustainability dimensions and configure the supply chain network, simultaneously. Based on the obtained results, the responsiveness and facilities reinforcement indicators are the most important indicators for the resilient aspect. On the other hand, reliability and quality are the most important indicators of sustainability aspect. Also, the results show that a large percentage of supply chain costs are related to purchasing and production costs. Besides, according to the outputs, the total cost of supply chain increases by enhancing the demand. Graphical abstract Supplementary Information The online version contains supplementary material available at 10.1007/s10098-023-02538-8.

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Conceptualising a supply and demand resilience methodology: A hybrid DEMATEL-TOPSIS-possibilistic multi-objective optimization approach

Cited by 37 publications

References 68 publications

Tool and formability multi-response optimization for ultimate strength and ductility of AA8011 during axial compression

Tool and formability multi-response optimization for ultimate strength and ductility of AA8011 during axial compression

How, When, & Where temporary hospitals fit in turbulent times: A hybrid MADM optimization in the middle east

Designing a dairy supply chain network considering sustainability and resilience: a multistage decision-making framework

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