Deploying Industry 4.0 Enablers to Strengthen Supply Chain Resilience to Mitigate Ripple Effects: An Empirical Study of Top Relay Manufacturer in China

Hsu, Chih-Hung; Zeng, Jun-Yi; Chang, An-Yuan; Cai, Shu-Qi

doi:10.1109/access.2022.3215620

Cited by 13 publications

(4 citation statements)

References 154 publications

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“…As a result, there is an increased need for a workforce that is specifically skilled and trained, which will increase the likelihood that new jobs of all kinds will be created. (Hsu, 2022) This technological process, however, must also be accompanied by an advancement in security.…”

Section: Discussionmentioning

confidence: 99%

“…Industry 4.0 is the digitisation and automation of manufacturing environments as well as the parallel development of a digital supply chain that supports products, their business context, order selection, delivery, retail, and even potential customers (Hsu, 2022), so the term "Industry 4.0" refers to the fourth industrial revolution, a new wave of technology-driven industrial production that promises to revolutionise the way manufacturing is done.…”

Section: Introductionmentioning

confidence: 99%

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Resilience 4.0: Charting the Path to the Future with a Literature Review

Di Nardo,

Gallab,

Salvatore

et al. 2023

Preprint

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The Industry 4.0 represents new era of production, characterized by a deep integration between digital technologies and physical systems. Cyber physical systems, cyber resilience protection and workers' safety are key elements of this transformation. To ensure the benefits of Industry 4.0 realized in a secure way, it is crucial to focus on workers' safety, cyber resilience protection and human-centric and CPS systems security and privacy. However, to fully realize the potential of Industry 4.0, it is important to address these challenges and ensure that the benefits of digitalization are balanced with the needs of workers and the protection of critical infrastructure. The concept of Industry 5.0 is emerging as the next step in this evolution, emphasizing the importance of sustainability, human-centered design, and a focus on creating a better future for all.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Resilience 4.0: Charting the Path to the Future with a Literature Review

Di Nardo,

Gallab,

Salvatore

et al. 2023

Preprint

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“…Newer methodologies have also been used in QFD in recent case studies, including hesitant fuzzy linguistics [36,73,74], fuzzy DEMATEL [39,75], grey relational analysis (GRA) [37,42,46,47,76], interval-valued fuzzy numbers (IVFN) [65,77], fuzzy Delphi method (FDM) [37,39,40,46,47,49,75], complex proportion assessment method (COPRAS) [78], ordinal priority approach-combinative distance-based assessment (OPA-CODAS) [79], social network analysis (SNA) [80], multi-stepwise weight assessment ratio analysis (M-SWARA) [81], entropy weight method (EWM) [38], double hierarchy hesitant linguistic term sets (DHHLTSs) [36], organísation, rangement et synthèse de données relarionnelles (ORESTE) [36], best-worst method-based [39,82], combined compromise solution (Co-CoSo) [43,70], Dempster-Shafer Theory (DST) [83], fuzzy cognitive maps (FCM) [84], proportional hesitant fuzzy linguistic term sets (PHFLTSs) [85], cumulative prospect theory (CPT) [85], fuzzy measuring attractiveness by a categorically based evaluation technique (FMACBETH) [40], and fuzzy full consistency method (FUCOM) [35,86].…”

Section: Other Methodologiesmentioning

confidence: 99%

Using Multi-Criteria Decision Making in Quality Function Deployment for Offshore Renewable Energies

García-Orozco,

Vargas-Gutiérrez,

Ordóñez-Sánchez

et al. 2023

Energies

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Quality function deployment (QFD) is now used in various fields, such as product development, design, manufacturing, planning, and quality management services, as a planning tool to achieve customer requirements and needs while improving performance and sustainability concerns. This paper presents a systematic literature review of multi-criteria decision-making (MCDM) methodologies integrated into QFD over the last year. In 2022, 56 research papers on planning strategies, the supply chain, and product development using QFD were published. Other fields such as energy, academia, and environment have also shown considerable interest in the integration of MCDM methodologies in QFD to improve decision-making processes. This research shows that the analytic hierarchy process (AHP) and the technique for order preference by similarity to ideal solutions (TOPSIS) methodologies are mainly used to rank customer requirements and weigh their importance in the house of quality (HoQ) structure. The use of fuzzy logic has been incorporated into the correlation matrix to evaluate the relationships between customer requirements and technical requirements. Methodologies such as decision-making trial and evaluation laboratory (DEMATEL) and fuzzy cognitive maps are implemented to deal with contradictions, and they have also been used to rank engineering characteristics. In the field of energy and renewable technologies, only few studies related to the integration of MCDM methodologies in QFD were found, but it is forecasted that their use will be used more often as they offer improvements and benefits in the ocean energy sector.

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“…QFD enables organizations to consider customer needs, find innovative responses to customer needs and improve processes to achieve maximum effectiveness [17]. QFD is also a practice towards process improvement that enables organizations to exceed consumer expectations [27]. QFD consists of several activities which include: 1.…”

Section: Quality Function Deployment (Qfd) and House Of Quality (Hoq)mentioning

confidence: 99%

Designing Supply Chain Resilience with a Quality Function Deployment Approach: A Case Study in a Shipping Line Company

Dira Ernawati,

Isna Nugraha,

Ni Ketut Sari

2023

Technium

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Supply chain resilience is needed for companies to be able to reduce the impact of risks that can occur to the company. The purpose of this study is to analyze supply chain resilience in a shipping line company, which is one of the players in the maritime logistics industry. This research adopts a Quality Function Deployment (QFD) approach that considers customer needs and maritime risks. The results of this study identified 15 customer needs and obtained 3 priority customer needs, namely no errors on invoices and B/L, professional shipping services and easy and realtime tracking of goods shipments. 18 risks have been identified and 3 risk priorities have been obtained, namely damage to communication devices, handling errors and delays in handling documents or goods by EMKL. 26 causes of risk have been identified and 3 priority causes of risk have been identified, namely lack of skill and accuracy of employees, server disruption and lack of work motivation in employees. Based on the analysis that has been carried out in the previous sections, there are 18 resilience measures as risk mitigation that can be carried out by companies. The following are the top-ranked resilience measures, including providing training on sending and receiving goods, establishing good communication with customers and providing training on how to communicate well.

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Deploying Industry 4.0 Enablers to Strengthen Supply Chain Resilience to Mitigate Ripple Effects: An Empirical Study of Top Relay Manufacturer in China

Cited by 13 publications

References 154 publications

Resilience 4.0: Charting the Path to the Future with a Literature Review

Resilience 4.0: Charting the Path to the Future with a Literature Review

Using Multi-Criteria Decision Making in Quality Function Deployment for Offshore Renewable Energies

Designing Supply Chain Resilience with a Quality Function Deployment Approach: A Case Study in a Shipping Line Company

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