A review on multi attribute decision making for evaluation and selection of supplier for materials

Pitchaiah, Dusanapudi Sivanagaraju; Hussaian, Manzoor; Govardhan, D.

doi:10.1016/j.matpr.2020.07.201

Cited by 10 publications

(5 citation statements)

References 78 publications

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“…Taking impartial information into consideration during the decision-making process clearly affects the outcome (Abdel-Basset et al, 2020). A similar issue may be observed in the problem of supplier selection: fuzzy Analytic Hierarchal Process (AHP) (Ho et al, 2021), fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) (Kannan et al, 2014), fuzzy Adaptive Resonance Theory (ART) algorithm (Sivanagaraju et al, 2021), fuzzy Vise Kriterijumsa Optimizacija I Ensuring healthy and safe service in order to stay competitive amid pandemic while creating value for themselves and the customers in general is crucial and emerging technology can surely help here Tamers et al (2020) Note: A = code of expressing attributes.…”

Section: Existing Methods and Contributions Of Our Studymentioning

confidence: 85%

Improving the benefits and cost of using emerging technologies for sustainable recovery from COVID-19 in manufacturing industries

Nur

Salman²,

Habib³

et al. 2022

Front. Environ. Sci.

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The ongoing COVID-19 pandemic has manifold disastrous effect on different service and production sectors, and manufacturing industries are no exception. Emerging technologies (ETs) can play a pivotal role in reviving these ailing manufacturing industries. However, the cost of implementing and operating ETs is a prime concern. Nonetheless, the important attributes that will minimize the cost and harness the advantages of the technology are still to be explored. To address this gap, this research seeks to examine the critical attributes required for the effective and efficient deployment of ETs. At first, a detailed literature review was conducted to identify and sort the attributes influencing the effective use of ETs in manufacturing industries. After that, Fuzzy-TODIM (Portuguese abbreviation of “Interactive and Multi-Criteria Decision Making”) method was used to rate the importance of the attributes. The result reveals that, “Inventory and Resource Management” tops the attribute list responsible for exploiting the optimal usage ETs, followed by “Development of Skilled Workforce” and “Supplier and Service Management Capability,” respectively. This paper will assist industry professionals not only in using ETs but also getting the best yield from them strategically and practically.

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Section: Existing Methods and Contributions Of Our Studymentioning

confidence: 85%

Improving the benefits and cost of using emerging technologies for sustainable recovery from COVID-19 in manufacturing industries

Nur

Salman²,

Habib³

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…The Support Vector Machine (SVM) was applied to extract the core criteria from a firm's historical supplier performance data, then the Fuzzy Best Worst Method (FBWM) was used to calculate the weights of the criteria, and the fuzzy TOPSIS was finally adopted to select the most suitable green suppliers. Pitchaiah et al [37] reviewed past works regarding the evaluation and selection of suppliers for materials using MADM. Some commonly used methodologies include DEA, AHP, Simple Multi-Attribute Rating Technique (SMART).…”

Section: New Product Development (Npd) Technology Selection and Suppl...mentioning

confidence: 99%

A Three-Phased Fuzzy Logic Multi-Criteria Decision-Making Model for Evaluating Operation Systems for Smart TVs

Lee

Kang

2023

Applied Sciences

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Within the competitive global market and fast-advancing technology environment, in order to survive and to succeed, firms need to spontaneously respond to market changes and the uncertainty of customer needs. Therefore, New Product Development (NPD) is extremely important for the success of firms. Artificial Intelligence (AI) has gradually entered people’s lives, and consumer demand for AI products is increasing. Firms need to understand the AI development trend and consider the preferences of consumers for AI-related products under social changes so that suitable consumer AI products can be properly developed. In this study, the evaluation and selection of operation systems for a commercially available AI product (smart TV) is studied, and a Multi-Criteria Decision-Making (MCDM) model for facilitating the selection of the most suitable operation system for product development is constructed. The proposed model consists of three phases: Interpretative Structural Modelling (ISM) to construct a decision-making network, Fuzzy Analytic Network Process (FANP) to obtain the weights of factors, and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS) to rank the operation systems. The proposed model is applied to select an operation system that companies can use to develop a smart TV. The results show that the proposed model can provide a systematic method that helps companies make appropriate operation system selection decisions.

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“…it is used to measure the degree of change of suppliers' supply quantity. The formula is as follows： (2) Where: represent the coefficient of variation of the weekly supply quantity of the supplier;…”

Section: Coefficient Of Variation Of Weekly Supplymentioning

confidence: 99%

Research on Ordering and Transportation of Raw Materials in Production Enterprises Based on Goal Programming

Jian-kang

Chen

et al. 2022

Advances in Transdisciplinary Engineering

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In the current complex economic situation, production enterprises are facing manyuncertainties. Reasonable planning of the ordering and transportation of raw materials to ensure the stable operation of the production supply chain is the key to the sustainable development of enterprises. In this paper, a TOPSIS model based on entropy weight and a raw material ordering and transportation model for production enterprises based on multi-objective programming are proposed to provide reference for raw material ordering and transportation selection of production enterprises. In this model, the supply characteristics of suppliers are quantitatively analyzed, and on the basis of the demand of production enterprises, the supplier is determined based on the principle of minimum number of suppliers. Then, the future transshipment loss rate of the transporter is predicted based on the time series, and then the corresponding transporter and transshipment scheme are determined with the lowest loss rate as the target. The research on the model of suppliers and transporter has a good guiding significance for the ordering and transportation of raw materials in manufacturing enterprises.

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A review on multi attribute decision making for evaluation and selection of supplier for materials

Cited by 10 publications

References 78 publications

Improving the benefits and cost of using emerging technologies for sustainable recovery from COVID-19 in manufacturing industries

Improving the benefits and cost of using emerging technologies for sustainable recovery from COVID-19 in manufacturing industries

A Three-Phased Fuzzy Logic Multi-Criteria Decision-Making Model for Evaluating Operation Systems for Smart TVs

Research on Ordering and Transportation of Raw Materials in Production Enterprises Based on Goal Programming

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