Relevant bibliographies by topics / Manufacturing industries

Academic literature on the topic 'Manufacturing industries'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Manufacturing industries"

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Mohapatra, Biswajit, Deepak Singhal, and Sushanta Tripathy. "Lean Manufacturing Towards Sustainability." International Journal of System Dynamics Applications 10, no. 1 (January 2021): 16–30. http://dx.doi.org/10.4018/ijsda.2021010102.

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This paper intends to capture the attention of the lean researchers towards a shift of priorities of the various techniques implemented in lean and its journey of 40 years in the global scenario. In particular, the paper focuses on the implementation of lean techniques in India under the banner of sustainability. The paper focuses on three industries, a textile industry representing industrial revolution 1.0, an automotive spare parts industry representing industrial revolution 2.0, and an electrical/electronics industry representing industrial revolution 3.0, named ‘A', ‘B', and ‘C', respectively, and analyses the priorities of the eight best techniques of lean in the sustainability phase. The techniques are Kaizen, Poke-Yoke, 5S, Kanban, Just-in-Time, Jidoka, Takt-Time, and Heijunka. The industries ‘A' and ‘C' have Poke-Yoke as the most critical technique and have been ranked one whereas in industry ‘B' 5S emerges as the most prolific technique in the Indian context of these industries.
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Saroya, Manish. "Industrial Specification on Lean Manufacturing Competencies of Manufacturing Unit." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (March 1, 2024): 1–13. http://dx.doi.org/10.55041/ijsrem29000.

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One of the most significant industries in India is the manufacturing sector. The introduction of several industries like textile producer, papermaking, automotive parts manufacturing, health and safety, electronics manufacturing, pet food and supplies and industrial repair etc., has made the global market more competitive recently, and businesses are finding it difficult to improve their product lines and, consequently, their clientele. Industry competition is a significant concern. One essential method for raising industry competitiveness is competency development. It thoroughly examines the differing significance of manufacturing competencies and the forces behind industrial competitiveness based on the overall performance of a company. Therefore, one can examine the manufacturing competences of the automobile industry to gauge the overall competitiveness of the automobile manufacturing sector. This study highlights the significance of certain manufacturing competency elements on industrial competitiveness. The significance of manufacturing skills is growing daily in the tractor manufacturing business, and this study offers numerous variables of manufacturing competencies affecting industrial competitiveness. Keywords- Competitive, Competitiveness, Aggregate, Competency, Explores, Significance.
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Jo, Sung-Su, Hoon Han, Yountaik Leem, and Sang-Ho Lee. "Sustainable Smart Cities and Industrial Ecosystem: Structural and Relational Changes of the Smart City Industries in Korea." Sustainability 13, no. 17 (September 3, 2021): 9917. http://dx.doi.org/10.3390/su13179917.

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This paper examines the changing industrial ecosystem of smart cities in Korea using both input–output and structural path analysis from 1960 to 2015. The industry type of the input–output tables used in the Bank of Korea was reclassified into nine categories: Agriculture and Mining, Traditional Manufacturing, IT Manufacturing, Construction, Energy, IT Services, Knowledge Services, Traditional Services and other unclassified. The paper identified the changing patterns of an industrial ecosystem of smart cities in Korea. The study found that smart industries such as smart buildings and smart vehicles are anchor industries in Korean smart cities, and they are positively correlated with three other industries: IT Manufacturing, IT Services and Knowledge Services. The results of the input–output and structural path analysis show that the conventional industrial structure of labor-intensive manufacturing and diesel and petroleum cars has been transformed to the emerging high-tech industries and services in smart cities. Smart industries such as IT Manufacturing, IT Services and Knowledge Services have led to sustainable national economic growth, with greater value-added than other industries. The underlying demand for smart industries in Korea is rapidly growing, suggesting that other industries will seek further informatization, automatization and smartification. Consequently, smart industries are emerging as anchor industries which create value chains of new industries, serving as accelerators or incubators, for the development of other industries.
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Greer, Douglas F. "The Food Manufacturing Industries." Journal of Economic Issues 19, no. 3 (September 1985): 867–69. http://dx.doi.org/10.1080/00213624.1985.11504425.

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M. VAANMALAR, M. VAANMALAR, and A. RAMYA A. RAMYA. "A Study on Iron Manufacturing Industries in Coimbatore." Indian Journal of Applied Research 3, no. 7 (October 1, 2011): 429–30. http://dx.doi.org/10.15373/2249555x/july2013/131.

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Yang, Hongxiong, and Yiying Liu. "Research on the Construction of Manufacturing Industry Chain Ecosystem—A Case Study of Tianjin Manufacturing Industry." Sustainability 15, no. 4 (February 6, 2023): 2943. http://dx.doi.org/10.3390/su15042943.

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This study takes Tianjin as an example to analyze how to build the manufacturing industry chain ecosystem. Based on the ecosystem theory, the related literature of manufacturing industry chain and value chain, and combined with various action plans for the development of manufacturing industry in Tianjin, the structure chart and construction roadmap of industrial chain ecosystem were drawn. Based on the input–output data of 42 sectors in Tianjin, this study calculated and analyzed the changes in embedment degree of various manufacturing industries in Global Value Chain (GVC) and National Value Chain (NVC) in Tianjin from 2010 to 2017. It is found that the industrial chain ecosystem is mainly composed of four elements: the enterprises on the industrial chain, the information flowing among enterprises, the goods circulating among enterprises, and the external environment of enterprises. The connection of supply and demand chains, enterprise chains, space chains and value chains forms an industrial chain, and the value chain is a crucial relationship chain in the connection mechanism. In addition, 2015 is a turning point for Tianjin manufacturing industry to embed in GVC and NVC, mainly due to the industrial economic adjustment in Tianjin, the global economic turmoil, and the establishment of the manufacturing industrial park. In terms of R&D intensity, high and medium high-tech manufacturing industries tend to be embedded in GVC, but are easily affected by enterprises and environmental factors. However, low and medium low-tech manufacturing industries still have ample space to integrate into GVC, information and products are important factors to determine the upgrading of its industrial chain. Therefore, in order to better construct the industrial chain ecosystem of manufacturing industry and enhance the industrial competitiveness of Tianjin’s manufacturing industry, it is necessary to give priority to the development of high-tech manufacturing industry, expand the international openness of low-tech manufacturing industry, support regional advantageous industries, and carry out dynamic regulation of industrial ecology.
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Wang, Peiyu. "Application of Intelligent Manufacturing Technology in the Field of Ship Design and Manufacturing." Journal of Physics: Conference Series 2074, no. 1 (November 1, 2021): 012075. http://dx.doi.org/10.1088/1742-6596/2074/1/012075.

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Abstract With the rapid development of information technology and its gradual penetration into the traditional manufacturing industry, modern industry has entered a period of intelligent manufacturing. In order to firmly grasp this brand-new development opportunity, various industries in our country are accelerating innovation and development, forming a number of brand-new industries and models. At this stage, the global shipping volume is increasing slowly and the endogenous power is lacking. The shipbuilding industry occupies a large proportion of my country’s traditional industries. It not only provides technical equipment for the development of marine resources and national defense construction, but is also an important channel for world trade, driving the development of many key industries, and it is a modern comprehensive industry with a huge industrial chain. Sex industry. The shipbuilding industry can drive the rapid development of the local economy and play an important role in promoting labor employment and ensuring the safety of coastal defense. In recent years, my country’s foreign trade has been growing at an alarming rate, which has provided better development opportunities to a certain extent. The industry has high international competitiveness.
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DANNO, Atsushi. "Future Development of Key Manufacturing Industries(Prosperity and Strategy of Key Manufacturing Industries)." Journal of the Society of Mechanical Engineers 107, no. 1022 (2004): 24. http://dx.doi.org/10.1299/jsmemag.107.1022_24_1.

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Soni, Archana, Arwind Mittal, and Manmohan Kapshe. "Energy Intensity analysis of Indian manufacturing industries." Resource-Efficient Technologies, no. 3 (September 1, 2017): 353–57. http://dx.doi.org/10.18799/24056529/2017/3/146.

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Energy has been recognized as one of the key inputs for the economic growth and social development of a country. India being one of the largest and rapidly growing developing countries, there is an impending energy crisis which requires immediate measures to be adopted. In this situation the concept of Energy Intensity comes under special focus to ensure energy security in an environmentally sustainable way. Energy Intensity of Indian manufacturing industries is among the highest in the world and stands for enormous energy consumption. Hence, reducing the Energy Intensity of Indian manufacturing industries is one of the challenges. This study attempts to analyse the factors which influence the Energy Intensity of Indian manufacturing industries and how they can be improved to reduce the Energy Intensity. The paper considers five of the largest energy consuming manufacturing industrial sectors in India viz. Aluminium, Cement, Iron & Steel Industries, Textile Industries and Fertilizer Industries and conducts a detailed Energy Intensity analysis using the data from PROWESS database of the Centre for Monitoring Indian Economy (CMIE) for the period 2005–2014.
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Naskar, Animesh. "Firm heterogeneity in industrial clustering of Indian manufacturing industries." Area Development and Policy 7, no. 1 (September 30, 2021): 82–100. http://dx.doi.org/10.1080/23792949.2021.1930563.

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Dissertations / Theses on the topic "Manufacturing industries"

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Bértola, Luis. "The manufacturing industry of Uruguay, 1913-1961 : a sectoral approach to growth, fluctuations and crisis /." Göteborg : University of Göteborg, 1990. http://catalogue.bnf.fr/ark:/12148/cb354647288.

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Senor, Steven D. "An analysis of strategies and interventions for preventing exposure to hazards in young, entry level workers." Online version, 2009. http://www.uwstout.edu/lib/thesis/2009/2009senors.pdf.

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Cebryk, Nancy. "Industrial price formation and industry concentration in Canadian manufacturing industries." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq22067.pdf.

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Cebryk, Nancy (Nancy Deborah) Carleton University Dissertation Economics. "Industrial price formation and industry concentration in Canadian manufacturing industries." Ottawa, 1997.

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Yu, Wai-keung. "Competitive analysis of Hong Kong's manufacturing industry /." Hong Kong : University of Hong Kong, 1995. http://sunzi.lib.hku.hk/hkuto/record.jsp?B14038602.

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Nafar, Nosratollah. "Efficiency and productivity in Iranian manufacturing industries /." Göteborg : Nationalekonomiska institutionen, Handelshögsk, 1997. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=008008001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Kebede, Selamawit. "Utilisation of MIS in manufacturing industries." Thesis, Cape Technikon, 2001. http://hdl.handle.net/20.500.11838/2294.

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Thesis (MTech (Information Technology))--Cape Technikon, 2001.
Management information systems can be defined as information systems using formalised procedures to provide managers at all levels, in all functions, with appropriate information from all relevant sources, to enable them to make timely and effective decisions for which they are responsible. There is, and continues to be, an awareness in society that accurate and timely information is a vital resource of any organisation, and that an effective management information system is a means of providing the needed information. Many top management people are finding that information is a source of competitive power. It gives them the ability to out-manoeuvre their rivals at critical times, especially when introducing new products. Effective management information systems allow the decisionmaker (i.e .. the ll;)Ul:lger) to combine his or her subjective experience with computerised objective output to produce meaningful information for decision making (Thierauf, 1984:22). Managers must also learn how to state their wishes with precision. Management information systems (MIS) produce only what is asked, which may not be at all what is required. For effective use of information technology, managers must be able to define their information requirements as well as understand computer capabilities and limitations (Hussain and Hussain, 1995:8). The primary objective of this research was to establish the impact of utilising management information systcn»: (MIS) and applying information technology on the success of manufacturing industries. The other aim of the study was to investigate the extent of utilising management information systems and applying information technology in these industries. The study focused on medium- and large-scale chemical manufacturing companies in the Cape Metropole area that have operated for at least the past five years.
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Turanli, Selcen. "Agglomeration patterns in Turkish manufacturing industries." Thesis, University of Sheffield, 2012. http://etheses.whiterose.ac.uk/2060/.

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The main purpose of this thesis is to examine the agglomeration phenomenon in Turkish manufacturing industries in depth. Chapter 1 presents an overall discussion of the thesis. Chapter 2; examines the theoretical background of the agglomeration phenomenon, while the structure of Turkish manufacturing sector is examined in Chapter 3. Chapter 4 investigates the degree of agglomeration in Turkish manufacturing industries. For this purpose, several specialization and concentration indexes are examined and also calculated, however the Ellison and Glaeser index of agglomeration is used throughout this thesis, for reasons described in chapter 4. The results from the Ellison and Glaeser index indicate a declining trend in agglomeration for Turkish manufacturing industries. After investigating the degree of agglomeration, the main theory that describes agglomeration in Turkish manufacturing industries is also investigated in Chapter 5. For this purpose several econometric methods are employed and the results indicate that the Ricardian model of technological differences is the main theory that explains agglomeration patterns in Turkish manufacturing industries. Chapter 6 investigates the relationship between agglomeration and entry-exit. For such investigation a dynamic model, count data models and seemingly unrelated regression techniques are employed. The results from chapter 6 indicate that firms in Turkish manufacturing industries do not want to locate in agglomerated regions. Chapter 7 investigates the relationship between Total Factor Productivity (TFP) and agglomeration. For such analysis, fixed effect method and dynamic estimation methodologies are employed. The results indicate that firms that are located in agglomerated regions in Turkish manufacturing industries face decreasing productivity levels. Finally chapter 8 presents an overall conclusion for the thesis.
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Oldenski, Lindsay. "Nonroutine tasks in international trade." Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p3356339.

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Thesis (Ph. D.)--University of California, San Diego, 2009.
Title from first page of PDF file (viewed July 9, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references.
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Wehrle, Caroline. "The clean upgrading of China's manufacturing industries." St. Gallen, 2008. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/04605820001/$FILE/04605820001.pdf.

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Books on the topic "Manufacturing industries"

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Caves, Richard. Efficiency in U.S. manufacturing industries. Cambridge, Mass: MIT Press, 1991.

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Rick, Delbridge, and Lowe James 1967-, eds. Manufacturing in transition. London: Routledge, 1998.

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P, Pisano Gary, and Hayes Robert H, eds. Manufacturing renaissance. Boston, MA: Harvard Business School Press, 1995.

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South Carolina. Dept. of Commerce., ed. Manufacturing. Columbia, S.C: South Carolina Department of Commerce, 1996.

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D, Barnes, Forster C. F, and Hrudey S. E, eds. Manufacturing and chemical industries. Burnt Mills, Harlow, Essex, England: Longman Scientific & Technical, 1987.

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Hayes, Robert H. Dynamic manufacturing: Creating the learning organization. New York: Free Press, 1988.

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Chylinski, Manya. Manufacturing. New York: Ferguson, 2010.

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Chylinski, Manya. Manufacturing. New York: Ferguson, 2010.

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Caves, Richard E. Efficiency in U.S. manufacturing industries. Cambridge, Mass: MIT Press, 1990.

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Association, Canadian Manufacturers', ed. Manufacturing our future. Toronto: Canadian Manufacturers' Association, 1995.

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Book chapters on the topic "Manufacturing industries"

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Rasiah, Rajah. "Manufacturing Industries." In Foreign Capital and Industrialization in Malaysia, 104–32. London: Palgrave Macmillan UK, 1995. http://dx.doi.org/10.1057/9780230377585_5.

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Hart, P. E., and James Bates. "Manufacturing Industries." In Economic Studies in Profit, Business Saving and Investment in the United Kingdom 1920–1962, 69–92. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003183266-5.

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Hart, P. E., and James Bates. "Manufacturing Industries." In Economic Studies in Profit, Business Saving and Investment in the United Kingdom 1920–1962, 69–92. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003183266-5.

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Badogu, Ketan, Khushwant Kour, and Ranvijay Kumar. "Sustainability in Manufacturing Industries." In Sustainable Manufacturing, 31–41. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003309123-3.

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Griffiths, Mel, and Lynnell Rubright. "Manufacturing and Service Industries." In Colorado, 267–87. 1. Colorado—Description and travel—1981- . I. Rubright, Lynnell. II. Title. III. Series. F781.3.G74 1983 978.8 83-10180: Routledge, 2019. http://dx.doi.org/10.4324/9780429049422-13.

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King, Peter L., Mac Jacob, and Noel Peberdy. "Cellular Manufacturing." In Production Scheduling for the Process Industries, 213–26. New York: Productivity Press, 2023. http://dx.doi.org/10.4324/9781003304067-29.

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Khorram Niaki, Mojtaba, and Fabio Nonino. "Industries and Applications." In Springer Series in Advanced Manufacturing, 37–66. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56309-1_2.

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Gobetto, Marco. "Historical Outlines and Industrial Strategies for Automotive Industries." In Springer Series in Advanced Manufacturing, 1–43. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7593-0_1.

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McKay, Kenneth N., and John A. Buzacott. "Adaptive Production Control in Modern Industries." In Modeling Manufacturing Systems, 193–215. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03853-6_9.

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Halstenberg, Friedrich A., Jón G. Steingrímsson, and Rainer Stark. "Material Reutilization Cycles Across Industries and Production Lines." In Sustainable Manufacturing, 163–73. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-48514-0_11.

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Conference papers on the topic "Manufacturing industries"

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Wang, Chia-Nan, Dinh-Chien Dang, Quoc-Quan Vu, and Yu-Xiang Zeng. "Supplier Selection for Manufacturing Industries." In 2018 IEEE International Conference on Advanced Manufacturing (ICAM). IEEE, 2018. http://dx.doi.org/10.1109/amcon.2018.8614833.

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Shambharkar, Safal, Amar Kawale, and Chetan Choudhari. "Lean Manufacturing - an Advanced Manufacturing Technique for Auto Industries." In International Conference on Science and Engineering for Sustainable Development. Infogain Publication, 2017. http://dx.doi.org/10.24001/ijaems.icsesd2017.142.

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Zaidi, Zaidi, Muhammad Ali Khan, Muhammad Bukhsh, Rabail Yaseen, and Shakeel Ahmed Shaikh. "Implementation of Lean Manufacturing Practices in Diverse Manufacturing Industries." In 11th Annual International Conference on Industrial Engineering and Operations Management. Michigan, USA: IEOM Society International, 2021. http://dx.doi.org/10.46254/an11.20211268.

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Will, P. M. "Manufacturing research in the electronics industries." In Fifth IEEE/CHMT International Electronic Manufacturing Technology Symposium, 1988, 'Design-to-Manufacturing Transfer Cycle. IEEE, 1988. http://dx.doi.org/10.1109/emts.1988.16139.

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Soelton, Mochamad, Devy Hardianti, Suryo Kuncoro, and Jumadi Jumadi. "Factors Affecting Burnout in Manufacturing Industries." In Proceedings of the 4th International Conference on Management, Economics and Business (ICMEB 2019). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200205.010.

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Gubernatorov, A. "Efficient Digital Platforms In Manufacturing Industries." In International Conference on Finance, Entrepreneurship and Technologies in Digital Economy. European Publisher, 2021. http://dx.doi.org/10.15405/epsbs.2021.03.42.

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Alabi, Micheal. "Application of Digital Lean Manufacturing System in Additive Manufacturing Industries: A Review." In 2023 International Conference on Sustainable Engineering and Materials Development. Switzerland: Trans Tech Publications Ltd, 2024. http://dx.doi.org/10.4028/p-fcle7u.

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Application of lean manufacturing (LM) principles within the manufacturing industry extends back several decades to drive efficiency and reduce waste across complex production lines. The advent of the Fourth Industrial Revolution, known as “Industry 4.0” technology is transforming the LM processes to promote the manufacturing industry. Additive Manufacturing (AM) has been identified as a technology with great potential to create a longstanding impact on the manufacturing world and is a core component of the Fourth Industrial Revolution. Many successful industries have achieved outstanding performance by integrating LM principles at the core of their corporate transformation. Of recent, AM and 3D printing has been identified as a technology that is revolutionizing LM principles in the following ways: easier prototyping, easily customize products, shorter lead times, local on-demand manufacturing, and lower cost production. Despite the exceptional success of LM principles across different industries and sectors, still many companies LM journeys fail due to many obvious reasons. The emergence of Industry 4.0 digital technologies has created an enabling environment for different manufacturing industries currently using LM principles to identify the need to embrace or add digital technologies to their lean manufacturing transformation journey. The intersections between LM and digital technologies are termed as “Digital Lean” or “Lean 4.0”. There are limited studies and literature gaps on lean manufacturing within the context of AM industry. More so, there is no study that examines the application of digital lean manufacturing in an AM industry. The paper presents a review of the concept of lean manufacturing principles and how it is revolutionizing the AM industry. This paper investigates the concept of digital lean manufacturing and its future potential impact in the AM industry. Finally, this paper develops a digital lean manufacturing system or tools considered suitable for the AM industry.
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Grattan, Kenneth T. V. "Optical sensors for the process industries." In Optics for Productivity in Manufacturing, edited by Christophe Gorecki and Richard W. T. Preater. SPIE, 1994. http://dx.doi.org/10.1117/12.194328.

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Lobov, A., F. U. Lopez, V. V. Herrera, J. Puttonen, and J. Lastra. "Semantic Web Services framework for manufacturing industries." In 2008 IEEE International Conference on Robotics and Biomimetics. IEEE, 2009. http://dx.doi.org/10.1109/robio.2009.4913327.

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Salunkhe, Karan, Sudhanshu Gonge, Rahul Joshi, Ketan Kotecha, Vinod Basalalli, and Pankaj Shah. "Econometrics and Manufacturing Industries Retail Volumes Forecast." In 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC). IEEE, 2023. http://dx.doi.org/10.1109/ccwc57344.2023.10099352.

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Reports on the topic "Manufacturing industries"

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simpson, Andrew, Helen Beattie, Chrysanthi Lekka, Susan Hambling, Emma Tan, Tim Yates, and Chris Keen. Wood dust exposures in manufacturing industries. HSE, August 2024. http://dx.doi.org/10.69730/hse.23rr1211.

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Updated evidence on achievable exposure standards when good control practice measures are used in woodworking manufacturing. It consisted of two elements: site visits to companies to assess exposures and telephone interviews to better understand how to influence companies in improving exposure control
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Okada, Yosuke. Competition and Productivity in Japanese Manufacturing Industries. Cambridge, MA: National Bureau of Economic Research, August 2005. http://dx.doi.org/10.3386/w11540.

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Conover, Emily, and Adriana Camacho. Misallocation and Productivity in Colombia's Manufacturing Industries. Inter-American Development Bank, February 2010. http://dx.doi.org/10.18235/0010928.

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Following Hsieh and Klenow (2009), this paper studies productivity dispersions in Colombian industrial establishments using the Colombian Annual Manufacturing Survey (AMS) from 1982 to 1998. The United States is used as a benchmark to estimate the reallocation of capital and labor to equalize marginal products across plants in Colombia. Gains are found in manufacturing Total Factor Productivity (TFP) of approximately 3-8 percent and TPF is positively correlated with exporting status, age, size, and location in the central region of the country. There is also suggestive evidence that opening the economy in 1991 is associated with an increase in plant productivity levels for firms that export goods. The 1990 reform that reduced dismissal costs is associated with an increase in productivity, while the reform that increased labor costs in 1993 is associated with a decrease in plants productivity. Further work is needed to establish a causal relation between productivity and policy changes.
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Ellison, Glenn, and Edward Glaeser. Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach. Cambridge, MA: National Bureau of Economic Research, August 1994. http://dx.doi.org/10.3386/w4840.

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Carbajales-Dale, Michael, David Ladner, Elizabeth Carraway, Yonjia Song, and G. Kumar Venayagamoorthy. Energy efficiency for the growing South Carolina manufacturing industries. Office of Scientific and Technical Information (OSTI), May 2022. http://dx.doi.org/10.2172/1866982.

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Balza, Lenin H., Camilo De Los Rios, Alfredo Guerra, Luis Herrera-Prada, and Osmel Manzano. Unraveling the Network of the Extractive Industries. Inter-American Development Bank, April 2021. http://dx.doi.org/10.18235/0003191.

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This paper analyzes extractive industries in Colombia and their connections to other economic activities in the country. We use detailed social security data on all formal employees to create an industry-relatedness measure using labor flows between industries. Drawing on the vast network analysis literature, we exploit centrality measures to reveal the importance of the extractive sector among Colombian industries. Our results show that extractive industries are well connected within the Colombian industrial network, and that they are central overall and within their clusters. We also find that extractive industries have stronger linkages with manufacturing and agriculture than with other sectors. Finally, a higher relatedness to extractive activities is correlated with lower levels of employment, specially of female workers.
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Belzer, D. B. Estimates of emergency operating capacity in U.S. manufacturing industries: 1994--2005. Office of Scientific and Technical Information (OSTI), February 1997. http://dx.doi.org/10.2172/481539.

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Belzer, D. B., D. E. Serot, and M. A. Kellogg. Estimates of emergency operating capacity in US manufacturing and nonmanufacturing industries. Office of Scientific and Technical Information (OSTI), March 1991. http://dx.doi.org/10.2172/5971595.

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9

Campa, Jose, and Linda Goldberg. The Evolving External Orientation of Manufacturing Industries: Evidence from Four Countries. Cambridge, MA: National Bureau of Economic Research, February 1997. http://dx.doi.org/10.3386/w5919.

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10

Atreya, Arvind. Ultra-High Efficiency and Low-Emissions Combustion Technology for Manufacturing Industries. Office of Scientific and Technical Information (OSTI), April 2013. http://dx.doi.org/10.2172/1073616.

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