A hierarchical multi-criteria model for analyzing the barriers to Pharma 4.0 implementation in developing countries DOI Creative Commons
Akib Zaman,

Ismat Jerin,

Puja Ghosh

et al.

Healthcare Analytics, Journal Year: 2024, Volume and Issue: 5, P. 100334 - 100334

Published: April 17, 2024

Pharmaceutical industries in most developing countries with limited resources are expected to encounter several barriers while incorporating Industry 4.0 transform into Pharma 4.0. With resources, a country must prioritise the consider their impacts, and make resource utilization plan accordingly. In this study, We employed hierarchical multiple criteria decision analysis (MCDM) technique identify potential examine effects generate prioritisation inventory. Firstly, we extracted likely using systematic literature study used an expert opinion-based Delphi Method choose pertinent barriers. Subsequently, analyzed correlation influence of selected on each other by formulating multi-criteria model integrating Interpretive Structural Modelling (ISM) Cross-Impact Matrix Multiplication Applied Classification (MICMAC). As outcome, found three distinct categories 12 barriers: Prominent (4 12), Influencing (5 Resulting (3 12). The results intended assist government solid adoption strategy for supply chain strategists ensuring optimum resolving examined during deployment is first its kind discover create correlations within context pharmaceutical sector from perspective country.

Language: Английский

Circular economy e-business model portfolio development for e-business applications: Impacts on ESG and sustainability performance DOI Creative Commons
Yun Arifatul Fatimah, Devika Kannan, Kannan Govindan

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 415, P. 137528 - 137528

Published: June 5, 2023

The circular economy has emerged as a key driver in the development of sustainability current digital world. Circular businesses have generated significant contributions terms gross domestic product and employment. In future, new approaches are needed that meet global trends digitalisation, resources, ecological challenges. Instead solely addressing environmental issues, e-businesses age need to ensure sustainable economy. This paper proposes feature-based e-business model for uplifting environment, social, governance (ESG) performance. We employed indicators support implementation process related technical aspects, reduce cost operation resource pressure, minimise impact, maximise social economic impacts. present here comprehensive discussion provides an in-depth literature review, emerging economy, business, application portfolio, software Business.

Language: Английский

Citations

78

Smart waste management 4.0: The transition from a systematic review to an integrated framework DOI Creative Commons
Devika Kannan, Shakiba Khademolqorani, Nassibeh Janatyan

et al.

Waste Management, Journal Year: 2023, Volume and Issue: 174, P. 1 - 14

Published: Sept. 22, 2023

Smart Waste Management (SWM) discusses the waste management process for different types of while introducing an intelligent approach to controlling amount waste. This paper introduces SWM4.0, which applies Industry4.0 (I4.0) technologies in various related events. First, presents a systematic literature review on role I4.0 SWM activities regarding types, processes, and 5R strategies. Then, existing solutions supporting SWM4.0 are extracted develop framework exploring use technologies. includes sharing four main pillars that contribute success namely smart people, cities, enterprises, factories. Furthermore, this suggests possibility unifying extending identifying necessary links interfaces researchers. For managerial implications, identifies future strategies fulfill specific tasks foster new technological research.

Language: Английский

Citations

53

Unveiling the implementation barriers to the digital transformation in the energy sector using the Fermatean cubic fuzzy method DOI Creative Commons
Weizhong Wang, Yu Chen, Yi Wang

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 360, P. 122756 - 122756

Published: Feb. 6, 2024

Digital transformation has been regarded as a primary styrategy to promote transitions in diverse fields, but industry pioneers believe that the existing barriers may hamper speed of digital transformation. Hence, this paper presents synthetical decision model integrating weighted Heronian mean aggregation (WHMA) operator, Level-Based Weight Assessment (LBWA) model, CRITIC (criteria importance through intercriteria correlation) method, and Ranking Alternatives Functional mapping criterion sub-intervals into Single Interval (RAFSI) with Fermatean cubic fuzzy sets evaluate implementation energy unknown weights experts criteria. In framework, an extended WHMA operator deviation-based method is established fuse experts' preference information. The LBWA FCF setting are combined derive barriers. Next, these methods incorporated RAFSI analyze A numerical example evaluating power sector displays application model-based method. result reveals a3 "Equipment manufacturer" (0.7063) highest barrier level, a4 "Consumers smart electronic" (0.4391) have lowest level. After that, sensitivity comparative explorations applied examine feasibility reliability model. results show proposed can provide more practical stable evaluation for supporting stakeholders associated ET.

Language: Английский

Citations

21

Modeling challenges for Industry 4.0 implementation in new energy systems towards carbon neutrality: Implications for impact assessment policy and practice in emerging economies DOI
Md. Abdul Moktadir, Jingzheng Ren

Resources Conservation and Recycling, Journal Year: 2023, Volume and Issue: 199, P. 107246 - 107246

Published: Oct. 13, 2023

Language: Английский

Citations

25

A Review of Industry 4.0 Assessment Instruments for Digital Transformation DOI Creative Commons
Miranda Zamora Iribarren, Claudia Lizette Garay-Rondero, Isaac Lemus-Aguilar

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(5), P. 1693 - 1693

Published: Feb. 20, 2024

Nowadays, different Industry 4.0 technologies have been implemented into diverse industries. However, these implementations are not standardized across similar industries and countries. Consequently, companies actively looking for assessment instruments—maturity models, roadmaps, frameworks, readiness assessments—to assist in their digital transformation, to determine level, identify strategies that should be specific areas, thus developing a feasible implementation plan. A review is conducted following the PRISMA (Preferred Reporting Items Systematic Literature Reviews Meta-Analyses) methodology analyze research works on instruments focused 4.0. total of 538 articles, book chapters, conference proceedings, editorial material, reviews, reports written English language were retrieved. Of these, 132 papers examined using mixed analysis format generate bibliometrics, 36 articles then deeply studied complete meta-analysis. The findings insights this meta-analysis led compilation summary dimensions, outcomes, enablers, key components typically involved 4.0, which comprehensively integrated present best practices assessing deploying transformation can impact productivity, flexibility, sustainability, quality, costs, time.

Language: Английский

Citations

10

Adapting to Industry 4.0: evaluating SMEs preparedness through a comprehensive digital readiness assessment maturity model by validating stakeholders’ perceptions DOI
Love Kumar, Rajiv Kumar Sharma

Business Process Management Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

Purpose In the digital transformation era, small and medium-sized enterprises (SMEs) in India face both opportunities challenges adopting Industry 4.0 (I4.0) technologies. To ensure successful I4.0 implementation, study aims to develop a readiness assessment model based on stakeholders’ perceptions. Design/methodology/approach This research adopts mixed-method framework comprehensive maturity assess of SMEs. The uses systematic literature review comprehend solution dimensions, followed by empirical validation dimensions through questionnaire survey hypothesis formulation. Findings is applied companies working four SME sectors, namely, automobile, machinery equipment, pharmaceutical agriculture. findings highlight necessity for sector-specific strategies enhance capabilities, addressing unique leveraging growth. Research limitations/implications proposed model, developed 14 41 prerequisites six levels, enables respondents SMEs make factual assessments their initiate efforts toward implementation. Originality/value uniquely combines expert insights, multi-dimensional rigorous statistical provide robust conceptual navigate journey effectively.

Language: Английский

Citations

1

Smart manufacturing as a strategic tool to mitigate sustainable manufacturing challenges: a case approach DOI Creative Commons
Devika Kannan,

Parvaneh Gholipour,

Chunguang Bai

et al.

Annals of Operations Research, Journal Year: 2023, Volume and Issue: 331(1), P. 543 - 579

Published: Sept. 3, 2023

Abstract Due to the manufacturing sector’s severe negative impacts on sustainable development, is gaining more momentum than ever. Despite advantages of manufacturing, academic literature resources report that practitioners still face several challenges while implementing manufacturing. To eliminate such challenges, numerous mitigation strategies have been proposed, including those identify Industry 4.0 technologies as a key factor. However, current studies are generally focused application technologies/smart in manufacturing; most fail provide an in-depth understanding how these might mitigate existing adoption In this study, identified through review and analyzed with MCDM tools Best-Worst Method WASPAS method. The results suggest governmental challenge demonstrates greatest weight final ranking, followed by technological organizational challenges. Among sub-challenges, “lack support from government form regulations / policies” “absence subsidies incentives” display weight. Further, framework has proposed map collected relevant mitigating smart bridge gap remaining studies. Finally, study contributes new field approaching strategy for implementation highlighting implications recommendations.

Language: Английский

Citations

20

Barriers and the potential for changes and benefits from the implementation of Industry 4.0 solutions in enterprises DOI Creative Commons
Beata Ślusarczyk, Joanna Wiśniewska

Production Engineering Archives, Journal Year: 2024, Volume and Issue: 30(2), P. 145 - 154

Published: May 26, 2024

Abstract The implementation of Industry 4.0 solutions in Polish enterprises entails both certain barriers and significant potential for changes numerous benefits. These may result from the costs new technologies, need to adapt employees skills concerns about data security. However, by overcoming these difficulties, companies can benefit enormous such as increasing production efficiency, optimizing logistics processes or improving product quality. Moreover, use technologies contribute increased innovation, competitiveness on global market creation jobs. As a result, benefits implementing support actively engage digital transformation, despite they encounter. objective this article is confront resulting modern with that limit process. statistical assessment differences between barrier values technology, well changes, was based non-parametric Mann-Whitney U test. study covered representatives 236 who mainly held managerial positions at various levels management staff persons designated them were responsible research development activities surveyed entities. it indicated level involvement technological transformation among moderate. Almost 67% all entrepreneurs characterize specific solutions. Among them, only approximately 6% be defined highly already have partially digitized operational processes. see more introduction than their implementation. This dedicated authors dealing issues companies.

Language: Английский

Citations

8

Prescriptive digital transformation maturity model: a development and validation study DOI
Batuhan Kocaoğlu, Mehmet Kırmızı

Kybernetes, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 14, 2024

Purpose This study aims to develop a modular and prescriptive digital transformation maturity model whose constituent elements have conceptual integrity as well reveal the priority weights of components. Design/methodology/approach A literature review with concept-centric analysis enlightens characteristics parts reveals gaps for each component. Therefore, interdependency network among dimensions are identified using decision-making trial evaluation laboratory (DEMATEL)-based analytic process (ANP) method, including 19 industrial experts, results robustly validated three different analyses. Finally, applicability developed in context manufacturing industry two case applications through strict protocol. Findings Results obtained from DEMATEL-based ANP suggest that smart processes weight 17.91% most important subdimension reaching higher maturity. Customer integration value, 17.30%, is second talented employee, 16.24%, third subdimension. Research limitations/implications The enables companies make factual assessments specially designed measurement instrument incrementally evolved questions, prioritize action fields investment strategies according index calculations adapt dynamic change environment spiral level identification. Originality/value novel identification proposed consistency evolutionary progress change. structured 234 statements method based on leads calculating assess maturity, create an improvement roadmap reach levels actions investments without any external support assistance.

Language: Английский

Citations

6

Would your company’s resilience be internally viable after COVID-19 pandemic disruption?: A new PADRIC-based diagnostic methodology DOI Creative Commons
Ahmed Mohammed, Morteza Yazdani, Kannan Govindan

et al.

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2023, Volume and Issue: 180, P. 103183 - 103183

Published: Nov. 18, 2023

The current COVID-19 virus pandemic has created massive disruptions in supply, demand, and production global supply chains (SCs). outbreak revealed the deficiencies of non-resilient SCs. Business prosperity continuity require internal resilience capabilities (IRCs) resiliency to or demand fluctuations that create disruption risk situations. This paper develops a new methodology for diagnosing improving strength company's resilience. huge caused by are first presented reviewed. Then, thorough state-of-the-art analysis was conducted define chain management resilience, then align substantial contributions this research literature. These insights followed presenting defining IRCs highlight their role towards resilient business. hereby presents IRCs-PADRIC (Preparedness, Agility, Development, Recovery, Innovation Collaboration) framework from which healthiness can be diagnosed as being either Healthy, Groaning Dying. diagnoses associated with proposed actions taken accordingly. An integrated grey Decision-making trial evaluation laboratory (DEMATEL)/Measurement Alternatives Ranking according Compromise Solution (MARCOS) approach is quantify enable more accurate diagnosis. Furthermore, cause-effect performed relationships among PADRIC. developed adopted managers any sector diagnose resiliency. would help them answer following questions: What could have been internally reduce so react pandemic? how prepared company similar future? pharmaceutical used empirically validate methodology. Theoretical managerial implications were discussed, future avenues recommended based on limitations.

Language: Английский

Citations

12