Planning the application of blockchain technology in identification of counterfeit products: sectorial prioritization

Modgil, Sachin; Sonwaney, Vandana

doi:10.1016/j.ifacol.2019.11.080

Cited by 36 publications

(21 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Step 2: Determination of the value operator and variance operator will be calculated by using the formulas number ( 5) and (6). After that calculate the distance between two fuzzy elements through the following formula:…”

Section: Numbers Linguistic Variablesmentioning

confidence: 99%

“…The next step is to create the decision-making matrix and determine the best and worst value among the available values of each index for the decision-making matrix of the determined qualitative indices and the importance of each index has been computed by hesitant fuzzy concepts. For this purpose, firstly, the values of the hesitant fuzzy S function are calculated for managers by using Formulas (1) and (6). Then, the largest and smallest values are obtained with respect to the fact that all the criteria are positive [27,30].…”

Section: Numbers Linguistic Variablesmentioning

confidence: 99%

“…In the first step, the weight of the criteria and subcriteria were calculated using the entropy method. in Step 1 the score matrix is computed with the hesitant fuzzy Sij on the experts' opinions matrix by formula (6). then in Step 2 normalized matrix S' is computed by formula (7).…”

Section: Work Experiencementioning

confidence: 99%

“…Since blockchains are structured as dissemination frameworks, they are impervious to information control and are entirely reasonable for supply and dispersion systems. A blockchain comprises of a progression of squares of data that are secured by cutting edge encryption strategies, and it is absurd to expect to alter or control the data put away on the squares [6].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Uncertain Model for Analysis the Barriers to Implement Blockchain in Supply Chain Management and Logistics for Perishable Goods

Sabbagh¹

2021

IJCIS

View full text Add to dashboard Cite

These days, with the development of advanced space, rising innovations, for example, the blockchain has made a decent open door for organizations to additionally improve the productivity of their supply arranges. Going with and orchestrating the supply chain with computerized advancements can prompt a huge increment in mechanical proficiency. At present, there is a crucial open door for the supply that binds the world over to amplify their profitability and productivity by utilizing and abusing blockchain innovation, man-made consciousness, and keen gear. In this research we proposed a hybrid method based on hesitant fuzzy made for ranking the barriers of implementation of blockchain on supply chain management in perishable goods. The result shows that Technological and security barriers are the most important barriers.

show abstract

Section: Numbers Linguistic Variablesmentioning

confidence: 99%

Section: Numbers Linguistic Variablesmentioning

confidence: 99%

Section: Work Experiencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Uncertain Model for Analysis the Barriers to Implement Blockchain in Supply Chain Management and Logistics for Perishable Goods

Sabbagh¹

2021

IJCIS

View full text Add to dashboard Cite

show abstract

“…The PLP method can effectively improve manufacturer and distributor relationships in supply chains in an uncertain environment. Modgil and Sonwaney (2019) applied Zolfani et al's (2013) hybrid approach of a multicriteria decision-making model, step-wise weight assessment ratio analysis (SWARA) and weighted aggregated sum product assessment (WASPAS) methodology to prioritize the application of blockchain in different industries. Deng (1989) proposed the grey theory, in which grey relational analysis (GRA) and GSDM could be used with different research methods to develop multi-attribute decisionmaking problems.…”

Section: Literature Reviewmentioning

confidence: 99%

Supply chain movement risk in the sneaker industry: an empirical study

Chang

2021

Qual Quant

View full text Add to dashboard Cite

In light of the COVID-19 pandemic and the Sino–US trade war, this study proposes a grey sharing decision-making evaluation model for production base movement and the sustainable operation of enterprises in the footwear industry. First, a focus group technique was employed; personnel from the footwear industry, corresponding government agencies, and the academic community were invited to jointly identify the most important criteria when considering a production base movement. The group listed seven criteria: labor cost, materials, exchange rate fluctuation, tariff, supply chain, transfer cost, and the government. The grey situation decision-making algorithm based on group knowledge and entropy were used to identify the most suitable country for production base movement.

show abstract