Capability-based assembly design: An approach for planning an agile assembly system in automotive industry

Burggräf, Peter; Dannapfel, Matthias; Adlon, Tobias; Kahmann, Hannes; Schukat, Esben; Keens, Julian

doi:10.1016/j.procir.2020.03.079

Cited by 7 publications

(3 citation statements)

References 12 publications

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“…Klasik montaj bantları her zaman ihtiyaca cevap vermemektedir zira çevrim süresi dengeleme problemi güçleşmektedir. Buna karşılık çevik montaj sistemleri, bahsedilen problemlere alternatif çözümler önermektedir [14].…”

Section: Sonuçlarunclassified

Layout and Process Improvement in Commercial Vehicle Seats Manufacturing

ALAF

ÖZÇELİK

2021

Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi

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Bu çalışmada otomotiv koltuk üreticisi firmasının 2015 yılından başlayarak 2020 yılına kadar kapasite artış talebini karşılamak amacıyla çeşitli kısıtlar çerçevesinde ürettiği aksiyonlar incelenmiştir. Ele alınan konunun çözümüne yönelik uygulamalı bir proje çalışmasıdır.Çalışma kapsamında tam sırasında üretim, ürün kompleksitesi, fabrika yerleşimi, montaj hatları, hat dengeleme ve ergonomi gibi temel kavramların literatür karşılıkları incelenmiş ve öznel uygulama projesi konusu ile ilişkilendirilmiştir.Müşteri beklentisi analiz edilerek probleme çözüm üretecek şekilde çalışma aşamaları adım adım ortaya konmuştur. Yapılan araştırmada kapasite ve ürün çeşitliliğindeki artışa cevap verecek operasyonel yapının matematiksel modelleme zorluğu sektöre özel kısıtlar çerçevesinde ortaya konmuştur. Bu zorluk sebebiyle deneyime ve sezgiye dayalı sektöre özel çözümlerin önemi vurgulanmıştır.

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Section: Sonuçlarunclassified

Layout and Process Improvement in Commercial Vehicle Seats Manufacturing

ALAF

ÖZÇELİK

2021

Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi

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“…In Europe, this industry represents 6.1% of the total workforce and large percentage [2] of total production and capital investment in the manufacturing sector-a turnover over 7% of EU gross domestic product (GDP) [3]. Due to the high number of companies operating in the manufacturing sector, competitiveness between them has been increasing, motivating the awareness that to remain active in the market and to differentiate from different competitors, they would have to invest in innovation techniques among their operational areas [4]. The insufficiency of control over the processes/activities carried out in a company affects its operating results and process performance, driving the company to identify which are the most affected areas that need to be improved.…”

Section: Introductionmentioning

confidence: 99%

“…In the subsequent sections the details of the algorithm are explained: steps 1 to 2 in Section 3.4.1; steps 3 to 7 in Section 3.4.2; steps 8 to 9 in Section 3. 4 . .…”

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confidence: 99%

Key Performance Indicators Selection through an Analytic Network Process Model for Tooling and Die Industry

2021

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In the last few decades, the fast technological development has caused high competitiveness among companies, encouraging a pursuit for strategies that allow them to gain competitive advantage, such as the monitoring of performance by using key performance indicators (KPIs). However, its selection process is complex since there are several KPIs available to evaluate performance and different relationships between them. To overcome this challenge, the use of a multiple criteria decision-making model (MCDM) was proposed, namely the analytic network process (ANP) through which a reduced number of them are prioritized. To identify which KPIs are suitable for the press cast and die manufacturing industry, a literature review was made, and 58 unique KPIs were identified. Thus, to validate the proposed methodology, a case study was carried out in an automotive press molding industry. With the implementation of the proposed ANP model it was possible to identify 9 KPIs that ensure the correct molding process monitoring, while being aligned with the Balanced Scorecard criteria. The results show that the proposed model is suitable for selecting KPIs for the molding industry.

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