Overall Equipment Effectiveness: consistency of ISO standard with literature

Schiraldi, Massimiliano M.; Varisco, Martina

doi:10.1016/j.cie.2020.106518

Cited by 14 publications

(16 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The ISO22400 represents the international standard published by the "International Organization for Standardization" (ISO) with the aim of defining, harmonizing and standardizing key performance indicators (KPIs) for manufacturing operations management [44,45]. This standard has recently gained a rising interest in both the industrial and scientific environments [37,[46][47][48] due to its practical and wide applicability to the manufacturing field. The standard provides relevant KPIs for different activities within the context of manufacturing operations management, and specifically it defines two different methods of computing the OEE, which can be traced back to the original TPM OEE definition [37].…”

Section: Oee Evaluation Methodology and Iso22400 Standardmentioning

confidence: 99%

“…The OEE has been originally conceived and introduced within the contribution of Nakajima (1988) [36], to provide a methodology for the estimation of industrial equipment inefficiencies. This measurement has rapidly spread in the industrial and scientific context due to its ease of use and wide applicability [37][38][39][40][41], and it represents one of the leading manufacturing key performance indicators (KPIs).…”

Section: Brief Recalls On Tpm Oeementioning

confidence: 99%

“…The TPM OEE indicator is based on a time model which considers three main categories of inefficiencies-time losses, speed losses, and quality losses-which are in turn divided and classified into "six big losses" [36,42]. These losses are described and represented in the OEE time model in Figure 1 which is adapted from Nakajima's contribution [36,37]. The time model allows the different indicators that compose the OEE to be determined, namely: operating rate or availability (OR TPM ), performance efficiency (PE TPM ), and quality rate (QR TPM ).…”

Section: Brief Recalls On Tpm Oeementioning

confidence: 99%

“…The time model allows the different indicators that compose the OEE to be determined, namely: operating rate or availability (ORTPM), performance efficiency (PETPM), and quality rate (QRTPM). From these considerations, the OEE calculation methodology is reported as in Table 2 [36,37]. Table 2.…”

Section: Operating Rate/availability (Atpm)mentioning

confidence: 99%

See 3 more Smart Citations

The Human Performance Impact on OEE in the Adoption of New Production Technologies

2021

View full text Add to dashboard Cite

The initial adoption phase of new production technologies is the period between the first production run or technology reconfiguration and the achievement of a stable target output. This time frame is generally characterized by productivity unsteadiness, quality performance variability, and unexpected machine failures together with increasing production volumes due to the process setup and instability, which inevitably affects production output. In this context, human performance represents an additional source of variability and process instability that is dependent on the workers’ productivity, learning curve and related training activities. Hence, to effectively assess the ramp-up phase of new production technologies, an appropriate evaluation of human performance is required. This paper proposes a comprehensive framework and criteria to perform a consistent assessment of the initial adoption phase of new production technologies by introducing two OEE measurement methodologies that distinguish between human performance, process configuration and technical features of the production technology. The proposed framework is then applied to and validated by a case study concerning the introduction of a semi-automatic packaging machine in a primary multinational company in the logistics industry. This case study shows the difference between the two OEE measures, along with the values interpretation and useful insights for achieving a stable production output.

show abstract

Section: Oee Evaluation Methodology and Iso22400 Standardmentioning

confidence: 99%

Section: Brief Recalls On Tpm Oeementioning

confidence: 99%

Section: Brief Recalls On Tpm Oeementioning

confidence: 99%

Section: Operating Rate/availability (Atpm)mentioning

confidence: 99%

See 2 more Smart Citations

The Human Performance Impact on OEE in the Adoption of New Production Technologies

2021

View full text Add to dashboard Cite

show abstract

“…Konsep OTE muncul sebagai pengembangan OEE untuk mengukur efektivitas dari sistem produksi. Pada konsep OTE ini suatu sistem dipandang sebagai suatu kesatuan subsistem (Hardiyansyah dan Singgih, 2012;Schiraldi et al, 2020;Tayal et al, 2021). Hasil OTE nanti akan dianalisis menggunakan diagram fishbone agar dapat mengetahui akar penyebab dari penurunan efektivitas mesin di stasiun giling.…”

Section: Pendahuluanunclassified

Pengukuran Efektivitas Mesin Produksi Gula Di Pg Kremboong Sidoarjo

Kurniawan

Ramadhan

Effendi

2021

JTP

View full text Add to dashboard Cite

PG Kremboong merupakan salah satu perusahaan gula pasir di bawah naungan PTPN X yang sudah berusia 172 tahun. Kegiatan produksi yang berjalan secara terus-menerus dan umur pabrik yang sudah sangat tua menjadi salah satu faktor yang dapat menyebabkan penurunan efektivitas mesin produksi. Oleh karena itu, penelitian ini bertujuan untuk mengukur tingkat efektivitas mesin produksi gula terutama di stasiun gilingan PG Kremboong dan memberikan alternatif strategi perbaikan. Metode yang digunakan pada penelitian ini yaitu overall throughput effectiveness (OTE), fishbone diagram dan analytical hierarchy process (AHP). Metode OTE digunakan untuk mengukur tingkat efektivitas stasiun giling PG Kremboong dan six big losses pada setiap mesinnya. Fishbone diagram digunakan untuk mengetahui faktor yang berpengaruh. Metode AHP digunakan untuk menentukan tingkat prioritas perbandingan berpasangan antar faktor, subfaktor dan alternatif strategi perbaikan. Hasil penelitian menunjukkan nilai OTE sebesar 84,41% dengan bottleneck indicator sebesar 0.0256. Rata-rata kerugian yang terjadi pada setiap mesin yaitu breakdown losses 0,048%, setup and adjustment losses 0,159%, idle and minor stoppages 12,127%, dan reduced speed losses 11,749%. Faktor yang menjadi prioritas utama pada metode AHP yaitu material (0,543), method (0,275), machine (0,118) dan man (0,063). Prioritas alternatif strategi perbaikan untuk meningkatkan efektivitas stasiun giling di PG Kremboong terdiri atas perbaikan perencanaan produksi (0,606), peningkatan pengawasan dan pengecekan mesin (0,234), dan memberikan pelatihan perbaikan mesin (0,161). Kata Kunci : AHP; Fishbone diagram; OTE

show abstract