Applications and future perspectives of integrating Lean Six Sigma and Ergonomics DOI Creative Commons
Inês Vicente, Radu Godina, Ana Teresa Gabriel

et al.

Safety Science, Journal Year: 2024, Volume and Issue: 172, P. 106418 - 106418

Published: Jan. 9, 2024

Organisations seek to adopt strategies increase their productivity and quality in highly competitive markets. For this purpose, Lean Six Sigma (LSS) is often used. It frequently combined with other scientific areas such as Ergonomics. Integrating LSS Ergonomics may improve while preserving workers' health safety. This study presents a systematic literature review clarify the impacts of integrating on organisations. Also, it seeks assess main limitations answering defined research questions. The was conducted Scopus Web Science. From 74 results, 16 articles were included based eligibility criteria. results show that few studies report application both areas. As for Ergonomics, no pattern observed methods tools be applied, highlighting most common DMAIC cycle Value Stream Mapping tool. Nevertheless, evidences many positive effects integration, organisations workers. In general, topic has potential further studied through conceptual case from different sectors provide broader conclusions relevance theme.

Language: Английский

Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions DOI Creative Commons
Yogesh K. Dwivedi, Anuj Sharma, Nripendra P. Rana

et al.

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 192, P. 122579 - 122579

Published: April 21, 2023

Artificial intelligence (AI) is a set of rapidly expanding disruptive technologies that are radically transforming various aspects related to people, business, society, and the environment. With proliferation digital computing devices emergence big data, AI increasingly offering significant opportunities for society business organizations. The growing interest scholars practitioners in has resulted diversity research topics explored bulks scholarly literature published leading outlets. This study aims map intellectual structure evolution conceptual overall Technological Forecasting Social Change (TF&SC). uses machine learning-based structural topic modeling (STM) extract, report, visualize latent from literature. Further, disciplinary patterns examined with additional objective assessing impact AI. results reveal eight key topics, out which concerning healthcare, circular economy sustainable supply chain, adoption by consumers, decision-making showing rising trend over years. influence on disciplines such as management, accounting, social science, engineering, computer mathematics. provides an insightful agenda future based evidence-based directions would benefit identify contemporary issues develop impactful solve complex societal problems.

Language: Английский

Citations

131
From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change DOI Creative Commons
Sascha Kraus, Satish Kumar, Weng Marc Lim

et al.

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 189, P. 122381 - 122381

Published: Feb. 8, 2023

Technological Forecasting and Social Change (TFSC) is one of the most prominent journals to focus on methodologies practices technological forecasting futures studies. This study aims analyse topical structure TFSC track cited articles published in journal using a combination structural topic model (STM) bibliometric analysis. The STM reveals 18 topics TFSC, quality results verified based semantic coherence exclusivity scores as well an assessment correlations among topics. also tracks temporal variations prevalence that occurred from 1969 2022, shedding light changing popularity each topic. analysis presents decade-by-decade perspective geographical dispersion authors affiliated with thereby providing truly global journal's publishing activity.

Language: Английский

Citations

82
Marketing analytics capability, artificial intelligence adoption, and firms' competitive advantage: Evidence from the manufacturing industry DOI
Md Afnan Hossain, Raj Agnihotri, Md Rifayat Islam Rushan

et al.

Industrial Marketing Management, Journal Year: 2022, Volume and Issue: 106, P. 240 - 255

Published: Sept. 8, 2022

Language: Английский

Citations

77
Application of MADM methods in Industry 4.0: A literature review DOI
Wael Zayat, Hüseyin Selçuk Kılıç, Ahmet Selcuk Yalcin

et al.

Computers & Industrial Engineering, Journal Year: 2023, Volume and Issue: 177, P. 109075 - 109075

Published: Feb. 7, 2023

Language: Английский

Citations

49
Machine learning and multi-criteria decision analysis for polyethylene air-gasification considering energy and environmental aspects DOI
Amirreza Gharibi, Reza Babazadeh, Rezgar Hasanzadeh

et al.

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 183, P. 46 - 58

Published: Jan. 5, 2024

Language: Английский

Citations

21
MCDM and Various Prioritization Methods in AHP for CSS: A Comprehensive Review DOI Creative Commons
Jayadev Gyani, Ahsan Uddin Ahmed, Mohd Anul Haq

et al.

IEEE Access, Journal Year: 2022, Volume and Issue: 10, P. 33492 - 33511

Published: Jan. 1, 2022

Availability and diversity of cloud service providers (CSPs) had put the users into confusion for its selection appropriate providers. Some are good at some services while others offering other services. The an is one multi-criteria decision analysis (MCDA) problems that became a critical issue public concern in uncertain industry. Based on multiple criteria, various decision-making (MCDM) methods can be used best CSPs. Researchers considered MCDM techniques as methodology deciding rank. paper presents set criteria their sub-criteria required evaluating main goal this to present review decision-making. Furthermore, strengths weaknesses MDCM discussed help researchers about current trends field making. An overview Cloud (CSS) presented. Several deriving priority vectors from Pairwise Consistency Matrix (PCM) Analytic Hierarchy Process (AHP) technique, recent years research paper.

Language: Английский

Citations

57
A novel multi-attribute decision-making for ranking mobile payment services using online consumer reviews DOI Open Access
Adjei Peter Darko, Decui Liang, Zeshui Xu

et al.

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 213, P. 119262 - 119262

Published: Nov. 14, 2022

Language: Английский

Citations

41
Optimal Water Management Strategies: Paving the Way for Sustainability in Smart Cities DOI Creative Commons
Ayat-Allah Bouramdane

Smart Cities, Journal Year: 2023, Volume and Issue: 6(5), P. 2849 - 2882

Published: Oct. 18, 2023

Global urbanization and increasing water demand make efficient resource management crucial. This study employs Multi-Criteria Decision Making (MCDM) to evaluate smart city strategies. We use representative criteria, employ objective judgment, assign weights through the Analytic Hierarchy Process (AHP), score strategies based on meeting these criteria. find that “Effectiveness Risk Management” criterion carries highest weight (15.28%), underscoring its pivotal role in strategy evaluation robustness. Medium-weight criteria include “Resource Efficiency, Equity, Social Considerations” (10.44%), “Integration with Existing Systems, Technological Feasibility, Ease of Implementation” (10.10%), “Environmental Impact” (9.84%) for ecological mitigation. “Community Engagement Public Acceptance” (9.79%) recognizes involvement, while “Scalability Adaptability” (9.35%) addresses changing conditions. “Return Investment” (9.07%) “Regulatory Policy Alignment” (8.8%) balance financial governance concerns. Two low-weight “Data Reliability” (8.78%) “Long-Term Sustainability” (8.55%), stress data accuracy sustainability. Highly weighted like “Smart Metering Monitoring, Demand Management, Behavior Change” Irrigation Systems” are particularly effective improving cities. However, medium-weighted (e.g., “Educational Campaigns Awareness”, “Policy Regulation”, “Rainwater Harvesting”, “Offshore Floating Photovoltaic Systems”, “Collaboration Partnerships”, “Graywater Recycling Reuse”, “Distributed Water Infrastructure”) low-weighted “Water Desalination”) also contribute can be combined higher-ranked ones create customized approaches each city’s unique context. research is significant because it urban complexity, offers a multi-criteria approach enhance traditional single-focused methods, evaluates cities comprehensively, provides criteria-weight-based allocation framework sustainable decisions, boosting resilience. Note results may vary specific needs constraints. Future studies could explore factors climate change consider alternative MCDM methods TOPSIS or ELECTRE evaluation.

Language: Английский

Citations

37
A hybrid fuzzy MCDM approach for prioritizing the solutions of resource recovery business model adoption to overcome its barriers in emerging economies DOI
Sarfaraz Hashemkhani Zolfani, Ali̇ Görener, Kerem Toker

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 413, P. 137362 - 137362

Published: May 11, 2023

Language: Английский

Citations

26
APPLICATION OF HYBRID DIBR-FUCOM-LMAW-BONFERRONI-GREY-EDAS MODEL IN MULTICRITERIA DECISION-MAKING DOI Creative Commons
Marko Radovanović, Darko Božanić, Duško Tešić

et al.

Facta Universitatis Series Mechanical Engineering, Journal Year: 2023, Volume and Issue: 21(3), P. 387 - 387

Published: Oct. 31, 2023

The selection of unmanned aerial vehicles for different purposes is a frequent topic research. This paper presents hybrid model an vehicle (UAV) using the Defining Interrelationships Between Ranked criteria (DIBR), Full Consistency Method (FUCOM), Logarithm Methodology Additive Weights (LMAW) and grey - Evaluation based on Distance from Average Solution (G-EDAS) methods. above-mentioned tested confirmed in case study. First all, are defined conditioning selection, then with help experts by applying DIBR, FUCOM LMAW methods, weight coefficients determined. final values obtained aggregating weights all three methods Bonferroni aggregator. Ranking optimal UAV twenty-three alternatives carried out G-EDAS method. Sensitivity analysis high degree consistency solutions other MCDM as well changing coefficients. proposed has proved to be stable; its application also possible areas it reliable tool decision-makers during process.

Language: Английский

Citations

26