A multi-criteria based analytic framework for exploring the impact of Covid-19 on firm performance in emerging market

Biswas, Sanjib; Bandyopadhyay, Gautam; Mukhopadhyaya, Jayanta Nath

doi:10.1016/j.dajour.2022.100143

Cited by 20 publications

(6 citation statements)

References 116 publications

(155 reference statements)

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“…It has been employed in various fields, including healthcare, manufacturing, and transportation. The EDAS method was used to assess and rank manufacturing companies' performance based on multiple criteria [40]. The results revealed the strengths and weaknesses of each company, aiding in benchmarking and performance improvement initiatives.…”

Section: Past Studies On Mcdm Methods Applicationmentioning

confidence: 99%

Evaluating Material Alternatives for low cost Robotic Wheelchair Chassis: A Combined CRITIC, EDAS, and COPRAS Framework

2023

jjmie

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This research paper introduces a comprehensive approach for evaluating material alternatives in the design of low cost robotic wheelchair chassis, incorporating a combined CRITIC (Criteria Importance through Intercriteria Correlation), EDAS (Evaluation based on Distance from Average Solution), and COPRAS (Complex Proportional Assessment) framework. Material selection has a significant impact on robotic wheelchair performance and longevity, offering issues due to many criteria and sophisticated decision-making in engineering design. The proposed framework solves these issues by combining three well-known multi-criteria decision-making (MCDM) techniques by considering 7 criteria and 12 potential alternate materials. CRITIC assesses the relevance of criteria, EDAS rates material alternatives, and COPRAS computes comprehensive performance ratings while taking interdependencies into account. Wheelchair Chassis Materials are assessed based on SOLIDWORKS analysis for mechanical qualities and online B2B market data for cost, weight, and other relevant factors. Gray cast iron emerges as the most favorable choice for the robotic wheelchair chassis, showcasing its exceptional balance of attributes. This study adds important insights to material selection for complex engineering systems and assistive technology design, resulting in better wheelchair design and user experience.

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Section: Past Studies On Mcdm Methods Applicationmentioning

confidence: 99%

Evaluating Material Alternatives for low cost Robotic Wheelchair Chassis: A Combined CRITIC, EDAS, and COPRAS Framework

2023

jjmie

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“…During the COVID-19 times, the overall business performance was heavily impacted [34,35]. There was a disruption in the overall logistics supply chain [36,37].…”

Section: Impact Of Inventory Holding Rates On Transportation Mode Sel...mentioning

confidence: 99%

International Transportation Mode Selection through Total Logistics Cost-Based Intelligent Approach

Patil,

Patange,

Pardeshi

2023

Logistics

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Background: International transportation has grown substantially, causing total logistics costs (TLCs) to rise. Companies are increasingly striving for their reduction. The most crucial factor affecting TLCs is the transportation mode, and its appropriate selection has become vital for firms. Maritime transport is the most preferred mode for international shipments, while air transport is also increasingly preferred due to the rise in underweight and high-frequency shipments, the expectation of reduced delivery times, and inventory costs. However, a thorough comparative analysis is necessary for the selection. Methods: This paper proposes an intelligent approach based on TLCs. Non-linear optimization is adopted for regular replenishment, while maching-learning classifiers are employed to establish a decision boundary for the chargeable weight of shipments. Conclusions: The study assists in decision making and also establishes a country-wide threshold, highlighting the importance of a country-based logistics strategy. The paper successfully establishes the trends and relations between logistics parameters, which assists the logistics decision making. Research identifies the gaps in the existing literature and bridges them by addressing the required concerns.

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“…It was stated that the use of both subjective and objective weighting methods together were effective in these results (Tajik et al, 2023). LOPCOW and EDAS methods were used to examine the early impact of COVID-19 on the performance of firms in the FMCG and durable goods sectors in emerging markets, and the results over a seven-year period were combined with the Copeland and Board count methods (Biswas, Bandyopadhyay, & Mukhopadhyaya, 2022). The authors used the same framework method to create a portfolio with stock selection.…”

Section: Introductionmentioning

confidence: 99%

The use of Different Criteria Weighting and Multi-Criteria Decision Making Methods for University Ranking: Two-Layer Copeland

Polatgil,

Güler

2024

Üniversite Araştırmaları Dergisi

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Multi-criteria methods have attracted attention in academia and industry applications for effective decision making. Although there are many multi-criteria decision making (MCDM) methods, none of these methods are perfect and should be chosen according to the decision problem. Choosing the necessary decision support method to find the right solution that is suitable for the decision maker becomes an important problem. To solve this problem, methods such as Copeland and Borda combining the results of different MCDM methods are available and widely used. In this study, a new hybrid model is proposed based on twice combining the results of different MCDM methods with different criterion weighting methods. The proposed model has been tested on student satisfaction data of 20 foundation universities in Turkey. It has been shown that the final model named Ensemble Copeland can be used as a benchmark in MCDM problems

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A multi-criteria based analytic framework for exploring the impact of Covid-19 on firm performance in emerging market

Cited by 20 publications

References 116 publications

Evaluating Material Alternatives for low cost Robotic Wheelchair Chassis: A Combined CRITIC, EDAS, and COPRAS Framework

Evaluating Material Alternatives for low cost Robotic Wheelchair Chassis: A Combined CRITIC, EDAS, and COPRAS Framework

International Transportation Mode Selection through Total Logistics Cost-Based Intelligent Approach

The use of Different Criteria Weighting and Multi-Criteria Decision Making Methods for University Ranking: Two-Layer Copeland

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