Critical success factors of lean six sigma to select the most ideal critical business process using q-ROF CRITIC-ARAS technique: Case study of food business

Ayteki̇n, Ahmet; Okoth, Basil; Korucuk, Selçuk; Mishra, Arunodaya Raj; Memiş, Salih; Karamaşa, Çağlar; Tirkolaee, Erfan Babaee

doi:10.1016/j.eswa.2023.120057

Cited by 19 publications

(3 citation statements)

References 86 publications

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“…It has been widely used in areas such as project management, environmental impact assessment, and supplier selection. The CRITIC method was applied to prioritize critical business process [38]. The research showed that CRITIC allowed decision-makers to identify the most critical criteria and tailor the project portfolio accordingly, improving resource allocation and project success.…”

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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“…This method is applied to compute ideal solutions to various problems and some of the recent applications are based on transportation analysis [14], green supplier selection [11], personnel selection [16,18], efficiency analysis [4,12,19], mobile game selection [15], indicators selection [1] and many other. This method is also used in combination with other methods such as VIKOR [8] with picture fuzzy sets, CRITIC [3], Entropy, TOPSIS [10], SWARA [21], MEREC [17]. The method of ARAS is also discussed with ordinary fuzzy sets [5], spherical fuzzy sets [9], rough sets [20], interval valued fuzzy sets [2] and many other forms of fuzzy representations.…”

Section: Introductionmentioning

confidence: 99%

“…3. The experimental matrix of different levels with the above determined minimum and maximum criterion values is formulated and the score values of the alternatives are determined using the steps 4-64.…”

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confidence: 99%

Design of Experiment with ARAS in Technology Selection for Effective Cognitive Supply Chain Management

2023

rmc

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The core principle of Industry 4.0 is the augmentation of artificial intelligence components with almost all the business activities. The manufacturers are preferring cognitive supply chain management (COGSCM) to conventional logistic practices for exercising effective planning and control. Automatic monitoring of production and inventory levels with less manual interference are the highlighting features of COGSCM. As the right choice of technology makes COGSCM more effective, this paper proposes a hybrid method of decision making to make optimal selection of the technology. The technique of Design of experiment (DOE) is combined with Additive Ratio Assessment (ARAS) to develop a new method. The competency and consistency of the model is tested with the secondary data sets and further analysed with other similar combined methods. It is observed that the proposed method is yielding better results in comparison to the existing methods of making decisions.

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Description of the Characteristics of Different Multiple Criteria Decision-Making (MCDM) Techniques for the Selection of Passive Energy Consumption Optimisation Strategies in Buildings

Balali,

Yunusa-Kaltungo

2024

Lecture Notes in Energy

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Critical success factors of lean six sigma to select the most ideal critical business process using q-ROF CRITIC-ARAS technique: Case study of food business

Cited by 19 publications

References 86 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

Design of Experiment with ARAS in Technology Selection for Effective Cognitive Supply Chain Management

Description of the Characteristics of Different Multiple Criteria Decision-Making (MCDM) Techniques for the Selection of Passive Energy Consumption Optimisation Strategies in Buildings

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