An Agile System to Enhance Productivity through a Modified Value Stream Mapping Approach in Industry 4.0: A Novel Approach

Tripathi, Varun; Chattopadhyaya, Somnath; Bhadauria, Alok; Sharma, Shubham; Li, Changhe; Pimenov, Danil Yurievich; Giasin, Khaled; Singh, Sunpreet; Gautam, Girish Dutt

doi:10.3390/su132111997

Cited by 34 publications

(17 citation statements)

References 51 publications

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“…e results showed that smart manufacturing-related information and digital technologies were costly for most small and medium enterprises and significantly influenced by the imposition from the environment. Tripathi et al [53] developed an agile system to improve operational performance using a methodology coupled with VSM. e developed method was validated by improving the operating performance of a production management system in Industry 4.0 environment.…”

Section: Notable Contributions Of Lean and Smartmentioning

confidence: 99%

Development of a Data-Driven Decision-Making System Using Lean and Smart Manufacturing Concept in Industry 4.0: A Case Study

Tripathi¹,

Chattopadhyaya

Mukhopadhyay

et al. 2022

Mathematical Problems in Engineering

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Nowadays, industries are emphasizing the implementation of a smart shop floor management method because of different types of problems faced in controlling the production activities in Industry 4.0. Several shop floor management methods are currently implemented in the present Industry 4.0 scenario, including lean manufacturing, logistics, Internet of things, smart manufacturing, cyber-physical system, and artificial intelligence. The present research work is focused on the development and Taguchi validation methodology of a data-driven decision-making system using L9 orthogonal array for smart shop floor management based on the relationship between production sustainability and constraints. The proposed system has been validated by a comprehensive investigation of a case of mining machinery manufacturing unit. The result of the investigation revealed that productivity has been enhanced by effective controlling of production activities on the shop floor. Taguchi L9 orthogonal array method of design of experiments is implemented to enhance flexibility for shop floor control and meanwhile minimize the production time due to inefficient operating conditions on the shop floor. Taguchi method was implemented for critical conditions affecting production lead time and resource utilization. The authors have detailed discussion on developing present novel hybrid integration of lean and smart manufacturing approaches to enhance operational excellence in production activities and other complicated manufacturing environment on the shop floor within available resources. The present finding demonstrates that the adopted digital technologies under smart manufacturing with lean manufacturing are found to be cost-effective approach under different environmental conditions. The proposed system has significantly improved the efficiency of production management and operational performance by using smart systems and has proved effective in improving the financial position by making a safer shop floor management approach. In this article, a robust problem-solving system is provided. The present work aims to introduce revolutionary methods for Industry 4.0 that would result in productivity enhancement and beneficial impact on industry persons by improving the smart shop floor management. The study also provides valuable perspective and sustainable guidelines to facilitate industry individuals to implement lean and smart manufacturing for productivity enhancement in the production environment of Industry 4.0.

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Section: Notable Contributions Of Lean and Smartmentioning

confidence: 99%

Development of a Data-Driven Decision-Making System Using Lean and Smart Manufacturing Concept in Industry 4.0: A Case Study

Tripathi¹,

Chattopadhyaya

Mukhopadhyay

et al. 2022

Mathematical Problems in Engineering

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“…Industries around the world are under immense pressure on the issue of improving production performance in the present scenario. Therefore, the industry is emphasizing the development of a sustainable method that can eliminate the negative effects present in the industry and can improve every condition of the production system [6,8,11,15,22,29,35,36]. Developing such a method is a challenge for the people of the industry.…”

Section: Future Research Directionmentioning

confidence: 99%

An Agile Model Of A Hybrid Approach To Enhance The Sustainability Of Production Management System In Industry 4.0

Tripathi

Chattopadhyaya

Mukhopadhyay

et al. 2022

Preprint

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In industry 4.0, industry individuals are emphasizing enhancing the adaptability of the production management system by a suitable approach. To accomplish it, the management individuals use various process optimization approaches includes lean manufacturing, smart manufacturing, computational intelligence, and hybrid approaches. Process optimization approaches are used to enhance production within limited constraints. The present research aims to develop an agile model using a hybrid approach for productivity enhancement in industry 4.0, this hybrid approach is the integration of lean, smart, and computational intelligence. The developed model has been validated through a case study of real production conditions in industry 4.0. The results obtained in the case study shown that the developed model can enhance production within limited constraints in industry 4.0. The authors believe that the developed model would be able to obtain productivity enhancement and providing guidelines to industry personals for improvement in the sustainability of the production management system in industry 4.0.

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“…Mewujudkan proses bisnis yang memenuhi tujuan klien dalam hal kualitas, kecepatan, dan biaya ialah salah satu tujuan utama VSM (Tripathi et al, 2021). Namun, dalam operasional bisnis yang sebenarnya, banyak tantangan praktis yang muncul sebagai akibat dari rutinitas yang diikuti oleh para pelaku UMKM ketika melakukan kegiatan produksi (Boonsthonsatit & Jungthawan, 2015).…”

Section: Metode Pelaksanaanunclassified

Pengenalan Prinsip Value Stream Mapping pada Manajemen UMKM Tas untuk Pengurangan Biaya Persediaan

Panudju

Nopianti²,

Marfuah³

2022

kangmas

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Usaha Mikro, Kecil, dan Menengah (UMKM) terbukti memiliki kemampuan untuk merespon krisis keuangan. Hal ini membuktikan bahwa UMKM merupakan bagian penting dari perekonomian suatu negara. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk mempelajari bagaimana bahan baku dikelola dalam rantai pasok UMKM industri kerajinan tas yang berada di wilayah Kabupaten Serang Provinsi Banten, serta memberikan pengenalan terkait Value Stream Mapping (VSM) untyuk meminimalkan pemborosan-pemborosan tersebut.. Tujuan pengabdian kepada masyarakat ini ialah untuk mengetahui hal-hal yang berperan dalam peningkatan keunggulan bersaing dan cara menghemat bahan baku dan produksi. Value Stream Mapping (VSM) ialah metode yang digunakan untuk mengetahui apakah ada tujuh jenis pemborosan dalam proses aliran. Selama enam bulan, pengumpulan data dan analisis pengabdian kepada masyarakat melalui diskusi, observasi langsung dan tidak langsung, dan membaca tentang subjek. Dalam aliran pasokan, ada lima jenis pemborosan: produksi berlebih, menunggu, transportasi, terlalu banyak persediaan, dan pemrosesan komponen yang berlebihan. Sekitar 5% dari total biaya bahan baku bisa terbuang percuma karena jenis limbah ini.

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An Agile System to Enhance Productivity through a Modified Value Stream Mapping Approach in Industry 4.0: A Novel Approach

Cited by 34 publications

References 51 publications

Development of a Data-Driven Decision-Making System Using Lean and Smart Manufacturing Concept in Industry 4.0: A Case Study

Development of a Data-Driven Decision-Making System Using Lean and Smart Manufacturing Concept in Industry 4.0: A Case Study

An Agile Model Of A Hybrid Approach To Enhance The Sustainability Of Production Management System In Industry 4.0

Pengenalan Prinsip Value Stream Mapping pada Manajemen UMKM Tas untuk Pengurangan Biaya Persediaan

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