An alternative for improving setup times and time between failures aiming at manufacturing lead time reduction

Utiyama, Marcel Heimar Ribeiro; Filho, Moacir Godinho; Oprime, Pedro Carlos

doi:10.1007/s11740-021-01048-0

Cited by 5 publications

(9 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Those works offer simulations to test different parameters and scenarios to improve the performance of manufacturing systems, providing better decision-making strategies (Renna, 2017;Renna & Ambrico, 2019). One of them, provides the "worst-case strategy" (regarding setup-time and time between failures), suggesting that the goal is to remove extreme events and implement solutions with ease while avoiding high costs (Utiyama et al, 2021).…”

Section: Discussion and Limitationsmentioning

confidence: 99%

Digital transformation in maintenance: interoperability-based adequacy aiming smart legacy systems

Venâncio

Brezinski

Leal³

et al. 2023

Prod.

View full text Add to dashboard Cite

Paper aims: The Industry 4.0 movement highlights the importance of information and communication technologies and the two main reasons for this are advances in digitalization and automation. However, organizations trying to implement technologies face several barriers in their systems. These barriers are intensified in legacy systems, tightly coupled to organizational processes. Thus, to overcome these barriers, an adequacy strategy was structured, and detailed in the context of interoperability.Originality: This article proposes a digital transformation framework focused on interoperability in maintenance systems.Research method: Aiming to make legacy systems work together with cyber-physical systems, the proposed framework suggests its suitability based on strategic decisions, using Multicriteria Decision Making (MCDM) methods. Main findings:The framework outputs demonstrate that people are the main drivers of digital transformation and that the strategies proposed by it are coherent with the actual development of both cases, proven in a new interview one year apart from its application.Implications for theory and practice: Real industrial cases demonstrate that the framework can guarantee interoperability while facilitating strategic decisions to implement technologies in legacy maintenance systems. In the end, the legacy system, which will interoperate with the new technologies, is called Smart Legacy System.

show abstract

Section: Discussion and Limitationsmentioning

confidence: 99%

Digital transformation in maintenance: interoperability-based adequacy aiming smart legacy systems

Venâncio

Brezinski

Leal³

et al. 2023

Prod.

View full text Add to dashboard Cite

show abstract

“…Perusahaan perlu meningkatkan daya saingnya dengan meningkatkan produktivitas secara hemat biaya dan tepat waktu (Zahraee et al, 2020). Penghematan biaya dilakukan dengan menghilangkan berbagai macam pemborosan dari lini produksi dengan VSM (Mudgal et al, 2020) (Zahraee et al, 2020) (Correia et al, 2018), mempersingkat waktu setup (Utiyama et al, 2021). Perusahaan menerapkan sistem LM ke proses manufaktur untuk menghilangkan pemborosan, mengurangi lead time, meningkatkan variasi produk, dan memenuhi permintaan (Narkhede et al, 2020).…”

Section: Pendahuluanunclassified

“…Sektor industri yang menerapkan LM di dominasi sebesar 95% (37 artikel) oleh industri manufaktur ((R. Ahmad & Soberi, 2018); ; (Huang et al, 2022); (Afy-Shararah & Salonitis, 2022); (Díaz-Reza et al, 2022); (Pattanaik et al, 2019); (Greinacher et al, 2020); (Susilawati, 2021); (Utiyama et al, 2021); (Logesh & Balaji, 2021); (Leong et al, 2019); (Karasu & Salum, 2018); (N. ; (Sonmez et al, 2018); (Rossini, Audino, et al, 2019); (Narkhede et al, 2020); (Braglia et al, 2021); (Lee & Park, 2021); (Mudgal et al, 2020); (Agostinho & Baldo, 2020); (Schutzbach et al, 2022); (Malik & Bilberg, 2018); (Kafuku, 2019); (Kafuku, 2019); (Rodrigues et al, 2020); (Azevedo et al, 2019); (Correia et al, 2018); (Mohammad & Oduoza, 2019); (Mayr et al, 2018); (Brito et al, 2020); (Adlin et al, 2020); (Arey et al, 2020); (Zahraee et al, 2020); (Jituri et al, 2018); (Janeiro et al, 2020); (Martins et al, 2020); (Hartmann & Metternich, 2020)), sedangkan 5% (2 artikel) UKM ( (Kumar et al, 2018); (Wang et al, 2022) Faktor produksi 4M yang paling banyak diteliti (87% -34 artikel) yaitu faktor Method ((R. Ahmad & Soberi, 2018); ;…”

Section: Rq3: Sektor Industri Yang Mendominasi Penelitian?mentioning

confidence: 99%

Review Lean Manufacturing: Faktor Produksi 4M dan Aspek QCD

Nurlaila,

Putri,

Amrina

2023

Pasti

View full text Add to dashboard Cite

Lean Manufacturing (LM) terbukti bisa meningkatkan daya saing perusahaan. Perkembangan penelitian LM bisa dilihat dari tren penelitian tiap tahun pada ScienceDirect. Tujuan dari penelitian adalah menemukan celah penelitian dari 39 artikel. Metode yang digunakan adalah studi literatur yaitu dengan mereview artikel berdasarkan nama jurnal, nama negara, sektor industri, faktor produksi 4M, aspek QCD dan Lean Tools (LT). Penerapan LM pada industri manufaktur (95%) sedangkan UKM (5%), mayoritas diterapkan pada faktor Method dan minoritas pada faktor Material, semua membahas aspek Cost dan paling sedikit membahas aspek Delivery. LT yang paling sering digunakan adalah Kaizen, VSM, TPM, Cause and effect analysis, Tack Time. LT yang hanya digunakan sekali adalah DOE, QS, MCD, ERP. Ditemukan celah penelitian yaitu penelitian pada sektor industri UKM, faktor produksi Material serta aspek Quality.

show abstract

“…Even though some of them include quality and maintenance aspects, this paper will be reviewed with more impact on risk management. Risk analysis (Hietikko et al, 2011;Lo et al, 2019;Macedo and Jones, 2000;Brown, 2007;Mili et al, 2008;Shah et al, 2012;Shah, 2013;Behún et al, 2014;Kremljak and Kafol, 2014;Altinisik and Hugul, 2020;Huang et al, 2020;Wu et al, 2021) Risk management (Islam and Tedford, 2012;Karkoszka, 2013;Zetterlund et al, 2016;Ratnayake and Antosz, 2017;Bastchen et al, 2018;Crespo et al, 2018;Shafqat et al, 2019;Johnson and Bogle, 2019;Gorecki et al, 2019Lamine et al, 2020Kayis et al, 2007;Bassetto et al, 2011;Bauer et al, 2014 Cube andCui et al, 2016;Thekdi and Aven, 2016;Shahtaheri et al, 2017;Tupa et al, 2017;Bevilacqua and Ciarapica, 2018;Oduoza, 2020;Stürmlinger et al, 2020;Wen et al, 2021;Utiyama et al, 2021) Performance and risk management (Thekdi and Aven, 2019) Quality control and risk management (Kawai, 2013;Bettayeb et al, 2014) Quality and risk management (Lundgren et al, 2016;…”

Section: Risk Management Overview and Tabulationmentioning

confidence: 99%

“…Wen et al, 2021 A flexible risk assessment approach integrates subjective and objective weights under uncertainty. Utiyama et al, 2021 An alternative approach to improve manufacturing setup time and the time between failures with a focus on eliminating outliers. Kawai, 2013 A system, Quality-HAZOP (Hazard and Operability Analysis) analyzes the scenarios in which manufacturing errors can affect product quality via complex propagation pathways.…”

Section: Cube and Schmitt 2014mentioning

confidence: 99%

Quality and Risk Management in Industrial Production Systems: A Literature Review

Baltag

Morariu

2022

Bulletin of the Polytechnic Institute of Iași. Machine Constructions Section

View full text Add to dashboard Cite

Nowadays quality management and specific tools can represent a challenge in SMEs (small and medium enterprises). To assure the expected quality of the products, SPC (statistical process control) combined with industry 4.0 specifics offer instantaneous responses and triggers for needed actions. Therefore, risk analyses are used as enablers for quality-oriented behaviour, and risk mitigation and identification, together with collected data, represent a comprehensive system that leads enterprises to achieve the expected performance level needed to remain competitive in the market. In addition, risk management and quality management cannot be treated without looking at the maintenance activities and policies which can have a considerable impact on those two. This paper provides a comprehensive literature review of the papers from the quality management sector and articles where risk management and maintenance are seen as facilitators for quality improvement with an impact on the performance level. The main contribution of each paper is listed in the table which simplifies the reader’s access to the work done in the field and the overview presented enables easy access to trends in this field and offers a starting point for future research by presenting the gaps.

show abstract

An alternative for improving setup times and time between failures aiming at manufacturing lead time reduction

Cited by 5 publications

References 36 publications

Digital transformation in maintenance: interoperability-based adequacy aiming smart legacy systems

Digital transformation in maintenance: interoperability-based adequacy aiming smart legacy systems

Review Lean Manufacturing: Faktor Produksi 4M dan Aspek QCD

Quality and Risk Management in Industrial Production Systems: A Literature Review

Contact Info

Product

Resources

About