Participation based intelligent manufacturing : customisation, costs, and engagement

Manufacturing companies around the world, large and small, in developed and developing regions, tend to suffer from the inefficiencies of a cost-simulated, early pricing process for new products. Often, however, solutions to the complex challenges of the manufacturing industry lie at the intersectio...

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Bibliographic Details
Other Authors Mockevičienė, Birutė (Editor)
Format Electronic eBook
LanguageEnglish
Published Bingley, U.K. : Emerald Publishing Limited, [2024]
Subjects
Online AccessFull text
ISBN9781837973644
DOI10.1108/9781837973620
Physical Description1 online resource (320 pages)

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245 0 0 |a Participation based intelligent manufacturing :  |b customisation, costs, and engagement /  |c edited by Birutė Mockevičienė. 
264 1 |a Bingley, U.K. :  |b Emerald Publishing Limited,  |c [2024] 
264 4 |c ©2025 
300 |a 1 online resource (320 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Includes index. 
504 |a Includes bibliographical references. 
505 0 |a Chapter 1. Introduction / Birutė Mockevičienė -- Chapter 2. Intelligent Manufacturing from a Theoretical Perspective: The Technological Revolution and Social Participation / Birutė Mockevičienė -- Chapter 3. Furniture Industries: Challenges of Regionalisation, Customisation and new Paradigm of Pricing / Birutė Mockevičienė and Tomas Vedlūga -- Chapter 4. Methodological Implications Seeking to Solve Cost Estimation Issues for Customize Production Process / Birutė Mockevičienė -- Chapter 5. How the Small Country's Furniture Sector Builds its International Competitiveness (Survey of Lithuania, Latvia and Estonia) / Julija Moskvina and Birutė Mockevičienė -- Chapter 6. Frugal Innovation as Intersection Between Complexity of Early Cost Esimation, Machine Learning and Expert-Based Decision System / Julija Moskvina, Anca Hanea, Tomas Vedlūga, and Birutė Mockevičienė -- Chapter 7. Conceptional Knowledge Management Tool for Early Furniture Cost Estimation (Integrated Early Price Assessment System) / Birutė Mockevičienė -- Chapter 8. Epilogue / Birutė Mockevičienė. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a Manufacturing companies around the world, large and small, in developed and developing regions, tend to suffer from the inefficiencies of a cost-simulated, early pricing process for new products. Often, however, solutions to the complex challenges of the manufacturing industry lie at the intersection of social science and technology, where intelligent manufacturing plays a crucial role. Providing a deep review of innovative scientific technologies and knowledge, this edited collection delves into cost-cutting technologies in manufacturing planning processes that combine with social technologies to stimulate the development of organisational innovations. Chapters explore the solutions that artificial intelligence, data science, and knowledge management systems provide in order to resolve the problems posed by early cost estimation. Drawing on detailed examples from the furniture manufacturing businesses, they offer a new way of industrial thinking with transformative implications for the greater manufacturing industry. Presenting ready-to-use, innovative solutions based on scientific evidence, Participation Based Intelligent Manufacturing is this decade's essential guide for navigating, streamlining and revitalising the industrial field. 
588 0 |a Print version record. 
650 0 |a Business planning. 
650 7 |a Business & Economics  |x General.  |2 bisacsh 
650 7 |a Business strategy.  |2 thema 
650 7 |a Business and Management.  |2 thema 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Mockevičienė, Birutė,  |e editor. 
776 0 8 |i Print version:  |z 9781837973637 
776 0 8 |i PDF version:  |z 9781837973620 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://doi.org/10.1108/9781837973620