Search Results - subject:"SET"

A Bayes estimate density fuzzy modular function for improving supply chain sustainability through blockchain entropy prediction

Foley, Brandon; Rodger, James A. - In: Supply chain analytics 4 (2023), pp. 1-21

This study triangulates three interrelated and interdependent goals. First, we provide a framework to establish the supply chain (SC) theory within the linchpins of the nine waves of sustainability theory. Second, we provide a real-world example of how blockchain operates to support the premise...

Persistent link: https://www.econbiz.de/10014516534

A multi-period optimization model for medicine supply chains using modified interactive multi-objective fuzzy programming

Sugapriya C; Nagarajan, D.; Gobinath, V. M.; Kuppulakshmi V - In: Supply chain analytics 4 (2023), pp. 1-10

The research on multi-period optimization using modified interactive multi-objective fuzzy programming for product complaints in pharmaceutical supply chains is new and evolving. This study proposes and develops an integrated multi-period, multi-objective medicine supply chain model in...

Persistent link: https://www.econbiz.de/10014516535

A fuzzy TOPSIS model for selecting digital technologies in circular supply chains

Tanveer, Umair; Kremantzis, Marios Dominikos; … - In: Supply chain analytics 4 (2023), pp. 1-16

Several digital technologies are available to facilitate the transition toward a circular supply chain infrastructure. Small-Medium Enterprises (SMEs) should assess their readiness and measure their performance to select the most appropriate digital technology. This study explores how...

Persistent link: https://www.econbiz.de/10014516543

A fuzzy data-driven reliability analysis for risk assessment and decision making using Temporal Fault Trees

Kabir, Sohag - In: Decision analytics journal 8 (2023), pp. 1-12

decision-making where precise failure data is non-existent. Expert judgements and fuzzy set theory have been combined with …, different people represented failure data using different membership functions for the fuzzy set, and different parameters were … set differently in the expert opinion elicitation process. Due to the availability of a wide variety of options, it is …

Persistent link: https://www.econbiz.de/10014516559

A selectively calibrated derivation technique and generalized fuzzy TOPSIS for semiconductor supply chain localization assessment

Chen, Toly; Wang, Yu-Cheng; Jiang, Pin-Hsien - In: Decision analytics journal 8 (2023), pp. 1-12

There is a localization wave in the semiconductor industry for pushing wafer foundries to transfer their production capacity to where chip designers are located. The main reasons for the localization of semiconductor supply chains include the US-China trade war, geopolitics, COVID-19, the...

Persistent link: https://www.econbiz.de/10014516602

Fuzzy ranking approach to bi-matrix games with interval payoffs in marketing-management problem

Bisht, Monika; Dangwal, Rajesh - In: International game theory review : IGTR 25 (2023) 1, pp. 1-20

Persistent link: https://www.econbiz.de/10014235011

Assessment of investment decisions in bulk shipping through fuzzy real options analysis

Zhang, Xiayan; Yin, Jingbo - In: Maritime economics & logistics 25 (2023) 1, pp. 122-139

Persistent link: https://www.econbiz.de/10014251389

Risk analysis in decentralized finance (DeFi) : a fuzzy-AHP approach

Kaur, Sandeepa; Simarjeet Singh; Gupta, Sanjay; Wats, … - In: Risk management : an international journal 25 (2023) 2, pp. 1-29

Persistent link: https://www.econbiz.de/10014251436

The (fuzzy) digital divide : the effect of universal broadband on firm performance

DeStefano, Timothy; Kneller, Richard; Timmis, Jonathan - In: Journal of economic geography 23 (2023) 1, pp. 139-177

Persistent link: https://www.econbiz.de/10013542182

Fuzzy confrontations of models of ESG investing versus non-ESG investing based on artificial intelligence algorithms

Škapa, Stanislav; Bočková, Nina; Doubravský, Karel; … - In: Journal of sustainable finance & investment 13 (2023) 1, pp. 763-775

Persistent link: https://www.econbiz.de/10013545740