Relevant bibliographies by topics / Manufacturing capacity utilization

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Manufacturing capacity utilization'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Manufacturing capacity utilization"

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Price, Simon. "Aggregate uncertainty, capacity utilization and manufacturing investment." Applied Economics 27, no. 2 (1995): 147–54. http://dx.doi.org/10.1080/00036849500000017.

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Yang, Guo-liang, Hirofumi Fukuyama, and Yao-yao Song. "Estimating capacity utilization of Chinese manufacturing industries." Socio-Economic Planning Sciences 67 (September 2019): 94–110. http://dx.doi.org/10.1016/j.seps.2018.10.004.

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Salnikov, Vladimir, Dmitry Galimov, Olga Mikheeva, Andrey Gnidchenko, and Alexey Rybalka. "Russian manufacturing production capacity: Primary trends and structural characteristics." Russian Journal of Economics 3, no. (3) (2017): 240–62. https://doi.org/10.1016/j.ruje.2017.09.002.

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This paper estimates the capacity utilization rate for Russian manufacturing. We also propose a way to build continuous production capacity time series and indicators to describe the basic characteristics of production capacity. The data come from form 1-natura-BM of the Russian Federal State Statistics Service. Our findings on the trends and structural characteristics of production capacity are shown to be significant for economic policy since we found that in recent years capacities utilization rate in Russian manufacturing industry has been not extremely high and that there is a strong corr
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Simon, Mamadi Shiamwama, Simeyo Otieno Dr., and Museve Elijah Dr. "AN ASSESSMENT OF CAPACITY UTILIZATION AND PERFORMANCE OF PUBLIC SUGAR MANUFACTURING FIRMS IN KENYA." International Journal of Recent Research in Commerce Economics and Management 9, no. 4 (2022): 107–18. https://doi.org/10.5281/zenodo.7347420.

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<strong>Abstract:</strong> Kenya&#39;s sugar sector dates back to the early 1920s when it first began operations. According to a research that was published in 2015 by the Export Processing Zone Authority, the sugar sector provides jobs for more than six million people in the nation, which is more than 16% of the total population of Kenya. Huge difficulties in operations management have plagued the industry, which has contributed to the underperformance of public sugar manufacturers. Low capacity utilization is one of the critical challenges. As a consequence of this, the majority of public co
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Okeoma, T. F., N. C. Nwaobilor, and U. G. Amaechi. "Impact of Manufacturing Capacity Utilization on the Nigerian Economy." Journal of Energy Technology and Environment (NIPES) 4, no. 4 (2022): 76–86. https://doi.org/10.5281/zenodo.7446344.

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<em>This paper examines the manufacturing capacity utilization on Nigeria&rsquo;s economy using Gross Domestic Product (GDP). The study further looked at the relation between </em><em>capacity utilization (CU), manufacturing productivity index (MPI) </em><em>and gross domestic product in the period under review. Secondary data were sourced from Central Bank of Nigeria (CBN) Statistical Bulletin and other relevant government agencies for the period covered in the study, 1981-2021. The data were analyzed using econometric model with the aid of E-views 8. The results showed that a strong positive
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Azeez, Abdul E. "Utilization of optimal capacity in Indian manufacturing, 1974–1996." Applied Economics Letters 8, no. 9 (2001): 623–28. http://dx.doi.org/10.1080/13504850010027572.

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Sinulingga, Sukaria. "Real time MRP with optimization of manufacturing capacity utilization." Journal of Operations Management 9, no. 3 (1990): 422. http://dx.doi.org/10.1016/0272-6963(90)90165-a.

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Okeke, Chioma, C. Obi, Ogochukwu Ugwunna, Obiageli Akamobi, and Ugochukwu Ejefobihi. "Macroeconomic Variables and Manufacturing Sector Growth in Nigeria." Journal of Policy and Development Studies 18, no. 2 (2025): 185–204. https://doi.org/10.4314/jpds.v18i2.13.

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This study explored the impact of key macroeconomic variables on the growth and capacity utilization of Nigeria’s manufacturing sector between 1981 and 2023, using data from the World Development Indicators and the Central Bank of Nigeria. The study adopted the ARDL model, following necessary statistical tests to ensure the reliability of results. Findings indicate that high exchange and interest rates significantly hinder manufacturing growth, while inflation appears to drive growth but negatively affect capacity utilization. Bank credit and lower interest rates, however, support improved cap
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Phd, Newman C. Oputa,. "Effect Of Inward Foreign Direct Investment On Manufacturing Capacity Utilisation In Nigeria." IOSR Journal of Business and Management 27, no. 6 (2025): 09–17. https://doi.org/10.9790/487x-2706040917.

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This study employed the Auto-Regressive Distributed Lag (ARDL) approach and the error correction (ECM)- ARDL model to investigate the impact of foreign direct investment inflow on manufacturing capacity utilization (MCU) in Nigeria during the period 1980 – 2020. The co-integration test showed that the variables were cointegrated and the model analysis revealed the existence of long-run relations between the dependent variable MCU and the explanatory variable FDI. The empirical results further revealed that past foreign direct investment flows positively and significantly influenced manufacturi
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Okpala, Chidiogo Jane, and Uchenna Nnanna Anyanwu. "Effect of Manufacturing Sub-Sector Performance on Productivity in Nigeria." Asian Journal of Economics, Business and Accounting 23, no. 17 (2023): 122–35. http://dx.doi.org/10.9734/ajeba/2023/v23i171048.

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Kaldor’s theory of growth is one theory that advocates for the manufacturing sector as a channel of increasing productivity and increasing employment. However, many developing countries like Nigeria seem to be bypassing the dynamism of the manufacturing sector. This study looked at the role of manufacturing sector to the productivity of the economy for the period 1986 to 2018, bearing in mind that productivity growth reflects in the GDP (gross domestic product) of a country. The study applied the Autoregressive Distributed Lag model (ARDL) and the Granger Causality technique. The major finding
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Dissertations / Theses on the topic "Manufacturing capacity utilization"

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Ghersin, Noa. "Improving asset utilization and manufacturing production capacity using analytics." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/126898.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, May, 2020<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, May, 2020<br>"May 2020." Cataloged from the official PDF of thesis.<br>Includes bibliographical references (pages 78-80).<br>Industrial organizations have increasingly invested in IoT technologies to monitor, control, identify faults in, and optimize operations. With incre
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Laskowski, Stephen Edward. "Capacity utilization and lean manufacturing at a plastic medical device components manufacturer." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111871.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2017.<br>Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 93-94).<br>An un
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Yorgure, Christian Sampson. "Assessing the Significance of Modularizing Contract Manufacturing Organizations." ScholarWorks, 2015. http://scholarworks.waldenu.edu/dissertations/1513.

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Organizations are under constant threat from global competition, socioeconomic factors, and political forces that are often unforeseen and dynamic. Consequently, decision makers adopt strategies, some including the principles of modularity, as a countermeasure. The problem addressed in this study was the lack of knowledge about the significance of modularizing contract manufacturing organizations (CMOs). The purpose of this quasi-experimental study was to assess the significance of modularizing CMOs by statistically analyzing capacity utilization, efficiency, and profit margin between modular
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Lee, Sharon, and 李惠娟. "The Influencing Factors of Equipment Capacity Utilization in Semiconductor Manufacturing Factory--Field Empirical Study." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/80575340392210910938.

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碩士<br>國立政治大學<br>會計學系<br>88<br>Abstract The development of semiconductor industry, especially the semiconductor manufacturing and foundry, is one of the main contributors that win Taiwan worldwide attention and upgrade the rank of Taiwan’s competitive advantage. In recent years, the continuous growth of semiconductor industry has brought about shortage of supply. Therefore, how to manage production capacity effectively and to meet market needs has become a critical management issue. The focus of capacity management in fab is on manufacturing equipment
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Books on the topic "Manufacturing capacity utilization"

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Bansak, Cynthia. Technology, capital spending, and capacity utilization. Federal Reserve Board, 2004.

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Goldar, Bishwanath. Import penetration and capacity utilization in Indian industries. Institute of Economic Growth, 2008.

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Goldar, Bishwanath. Import penetration and capacity utilization in Indian industries. Institute of Economic Growth, 2008.

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Vega, Luis A. Cabezas. Factor substitution, capacity utilization, and total factor productivity growth in the Peruvian manufacturing industry. Nationalekonomiska institutionen, Handelshögskolan vid Göteborgs universitet, 1994.

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The Manufacturing industry in 1990 and its rates of capacity utilization. Istanbul Chamber of Industry, Research Dept., 1991.

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Environmental Engineering and Management Journal October 2010, Vol.9, No. 10, 1357-1362 http://omicron.ch.tuiasi.ro/EEMJ/ ______________________________________________________________________________________________ ENERGY AND ECONOMICAL GROWTH: OVERVIEW AND GLOBAL CHALLENGES Rémi Guillet Université Henri Poincaré, Nancy, France, e-mail: guilletremi@yahoo.fr Abstract This paper is a global overview of the correlation between economic growth and energy consumption. It insists especially on the very important role of the oil in the 20th Century development, to point out that the future will not be so bright, because of the impact of combustion gases emissions on the greenhouse effect and because of the decreasing of the resource. The importance of “fossil” energies for different uses is shown shortly as well as the capacity of the taxes to modify some of these utilizations. Renewable energies are also examined with some of their specific difficulties to be massively developed, because of their high “manufacturing” costs. The paper evocates that the production cost of different ersatz of the fossil oil will be comparatively so high that this “oil new deal” will likely induce a new model of growth. Key words: correlation, energy, model of growth, oil new deal Received: September, 2010; Revised: October, 2010; Accepted: October, 2010. EEMJ (Environmental Engineering and Management Journal) Iasi Univ., 2010.

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Environmental Engineering and Management Journal October 2010, Vol.9, No. 10, 1357-1362 http://omicron.ch.tuiasi.ro/EEMJ/ ______________________________________________________________________________________________ ENERGY AND ECONOMICAL GROWTH: OVERVIEW AND GLOBAL CHALLENGES Rémi Guillet Université Henri Poincaré, Nancy, France, e-mail: guilletremi@yahoo.fr Abstract This paper is a global overview of the correlation between economic growth and energy consumption. It insists especially on the very important role of the oil in the 20th Century development, to point out that the future will not be so bright, because of the impact of combustion gases emissions on the greenhouse effect and because of the decreasing of the resource. The importance of “fossil” energies for different uses is shown shortly as well as the capacity of the taxes to modify some of these utilizations. Renewable energies are also examined with some of their specific difficulties to be massively developed, because of their high “manufacturing” costs. The paper evocates that the production cost of different ersatz of the fossil oil will be comparatively so high that this “oil new deal” will likely induce a new model of growth. Key words: correlation, energy, model of growth, oil new deal Received: September, 2010; Revised: October, 2010; Accepted: October, 2010. EEMJ (Environmental Engineering and Management Journal) Iasi Univ., 2010.

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Book chapters on the topic "Manufacturing capacity utilization"

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Flaig, Gebhard, and Viktor Steiner. "Markup Differentials, Cost Flexibility, and Capacity Utilization in West-German Manufacturing." In Contributions to Economics. Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-642-51514-9_7.

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Modrak, Vladimir, Zuzana Soltysova, Pavol Semanco, and Pandian R. Sudhakara. "Production Scheduling and Capacity Utilization in Terms of Mass Customized Manufacturing." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18789-7_25.

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Khosla, Rajiv, and Rajinder Singh Bawa. "Total Factor Productivity Growth and Capacity Utilization in Manufacturing Industries in India." In Eurasian Studies in Business and Economics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67916-7_24.

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Dobrin, Cosmin, and Adriana Dima. "Aggregate Planning for Services: Challenges and Opportunities." In Contributions to Management Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60343-3_4.

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AbstractThis article delves into the intricacies of aggregate planning for services, exploring its challenges and opportunities. Aggregate planning, a crucial aspect of organizational strategy, aligns production capacity with customer demand. Unlike manufacturing, services present unique challenges due to their perishable nature and inability to be inventoried. The article outlines the general model of aggregate planning and discusses its application in the service industry. Through a case study of ACCOUNTING EXPERT, the article demonstrates how organizations can perform aggregate service plan
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Woschank, Manuel, Patrick Dallasega, and Johannes A. Kapeller. "Investigation of the Potential to Use Real-Time Data in Production Planning and Control of Make to Order (MTO) Manufacturing Companies." In Implementing Industry 4.0 in SMEs. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70516-9_5.

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AbstractThe integrated planning and control of logistics processes can be seen as one of the basic prerequisites for the successful implementation of smart production systems and smart and lean supply chains, as well. Therefore, modern Industry 4.0 approaches are mainly focusing on (1) the principles of decentralization and (2) the usage of real-time data to improve the overall logistics performance in terms of promised delivery dates, work in progress, capacity utilization, and lead-times. In this context, this chapter systematically evaluates the application of decentralized production plann
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Cepeda Zapata, Karla Aniela, Tomás Ward, Róisín Loughran, and Fergal McCaffery. "Challenges Associated with the Adoption of Artificial Intelligence in Medical Device Software." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_13.

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AbstractThe utilization of Artificial Intelligence (AI) has changed and enhanced several industries across the world, such as education, research, manufacturing and healthcare. The potential of AI to create new and enhanced applications that can benefit patients and physicians has created interest and enthusiasm, especially in a Medical Device Software (MDS) context. Although, the adoption of AI in MDS has also brought concerns for regulatory agencies and policymakers. The complexity of AI has challenged the standard requirements set by regulatory agencies, especially in the context of the dif
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"The Analysis of Capacity Utilization." In The African Manufacturing Firm. Routledge, 2005. http://dx.doi.org/10.4324/9780203987780-19.

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Yang, Xiaoxin. "Technological Innovation and Enterprise Capacity Utilization." In Modern Management based on Big Data III. IOS Press, 2022. http://dx.doi.org/10.3233/faia220082.

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China has now entered a stage of high-quality development. Realizing the transformation and upgrading of the manufacturing industry in the new stage is conducive to promoting China’s high-quality development process. However, the current problem of insufficient capacity utilization in the manufacturing industry will affect its transformation and upgrading. From the perspective of micro-enterprises based on the data of 1,628 A-share listed companies in China’s manufacturing industry, this paper uses a random panel Tobit model to study the impact of technological innovation on enterprise capacit
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Pourbabai, Behnam. "Optimum Utilization of A Capacity Constrained Manufacturing System." In Control and Dynamic Systems. Elsevier, 1991. http://dx.doi.org/10.1016/b978-0-12-012748-1.50015-x.

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Guleryuz, Didem. "Prediction of Capacity Utilization Rate for Turkey Using Adaptive Neuro-Fuzzy Inference System With Particle Swarm Optimization and Genetic Algorithm." In Handbook of Research on Advances and Applications of Fuzzy Sets and Logic. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-7979-4.ch013.

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This chapter aims to propose prediction models to estimate Turkey's manufacturing sector's capacity utilization rate between 2008-2019 monthly basis using the adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA) and particle swarm optimization (PSO) via determined indicators. The model's accuracy will be tested using some of the performance evaluation criteria, namely mean absolute error (MAE), root mean square error (RMSE), and the coefficient of determination (R2) values were used to compare the prediction ability. The coefficient of determination for GA-ANFIS, PSO-ANFIS
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Conference papers on the topic "Manufacturing capacity utilization"

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Song, Yan, Shuang Yao, and Jin-gui Jiang. "The research of capacity utilization measurement on manufacturing industry in China." In 2016 International Conference on Management Science and Engineering (ICMSE). IEEE, 2016. http://dx.doi.org/10.1109/icmse.2016.8365434.

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Arjunwadkar, Vikram, and Nivedha Rajasekaran. "Capturing Tool Availability in the Capacity Model based on Actual Utilization." In 2019 30th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC). IEEE, 2019. http://dx.doi.org/10.1109/asmc.2019.8791774.

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Asikele, Edward E., and A. H. Soni. "The Effects of JIT Manufacturing Philosophy on Machine Utilization and Tool Life." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0177.

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Abstract This paper examine how the applications of Just-in-Time (JIT) manufacturing philosophy create excess capacity if the rate of production in a machining center is greater than the rate of the demand for the products at a subsequent machining center. The excess machining capacity created can be reduced by operating the machine(s) with excess capacity at a lower speed up to a certain limit (in order to maintain efficiency). By operating the machine(s) with excess capacity at a lower speed, the machine utilization is increased as well as the tool life of the machine(s).
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Elshafei, Basem, Fan Mo, Jack C. Chaplin, Giovanna Martinez Arellano, and Svetan Ratchev. "Capacity Modelling and Measurement for Smart Elastic Manufacturing Systems." In 2023 AeroTech. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0997.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Aerospace manufacturing is improving its productivity and growth by expanding its capacity for production by investing in new tools and more equipment to provide additional capacity and flexibility in the face of widespread supply disruptions and unpredictable demand. However, the cost of such measures can result in increased unit costs. Alternatively, productivity and quality can be improved by utilizing available resources better to reach optimal performance and react to emerging disruptions and changes. Elastic Manufa
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Lin Liu. "Capacity utilization, investment and consumer demand: Evidence from 28 manufacturing industries using PVAR." In 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC). IEEE, 2011. http://dx.doi.org/10.1109/aimsec.2011.6009812.

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Munilal, J. J., N. Ndivhuwo, and K. Ramdass. "AN INVESTIGATION INTO STOCK CAPACITY UTILIZATION OF A MANUFACTURING LINE AT A CATALYST MANUFACTURER." In 33rd Annual Southern African Institute of Industrial Engineering Conference. South African Institute for Industrial Engineering, 2022. http://dx.doi.org/10.52202/066390-0049.

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Fotedar, Sunney, Torgny Almgren, Stefan Cedergren, Ann-Brith Strömberg, and Michael Patriksson. "A Mathematical Optimization of the Tactical Resource Allocation of Machining Resources for an Efficient Capacity Utilization in Aerospace Component Manufacturing." In The 10th Aerospace Technology Congress, October 8-9, 2019, Stockholm, Sweden. Linköping University Electronic Press, 2019. http://dx.doi.org/10.3384/ecp19162021.

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Veselovac, Dražen, Sascha Gierlings, and Matthias Brockmann. "Process Monitoring for Manufacturing of Critical Aero Engine Components: An Overview." In ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gt2014-26815.

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Modern production systems stand out due to an increasing degree of capacity utilization of the efficiency available through the production process. As working on a technological threshold as well as on a complex task comes along with an increase of susceptibility to failure, process monitoring is an important means to avoid damage to machines, tools, and component parts and a consequent machine downtime. In order to bring about detection of tool breakage, overload and tool wear, we use different sensor and monitoring systems which are adjusted to the process in the best possible way. This pape
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Chen, Qianwen, Zude Zhou, Xiaomei Zhang, and Xuemei Jiang. "Multi-Tenant Access Control Model for Cloud Manufacturing." In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-2719.

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Cloud manufacturing is a new service-oriented networked manufacturing mode based on the concept of “Manufacture as a Service” and achieves the sharing of manufacturing resources and manufacturing capacity. Multi-tenancy technology can improve utilization efficiency of manufacturing resources and ensure information security among tenants, enabling users to share the cloud manufacturing resources better. To execute this new mode, isolation access and on-demand services are indispensable. However, the traditional access control model cannot satisfy the demands of multi-tenant environment on cloud
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Borbolla, Adrián, Mohamed Nezar Aboujarra, and Devarajan Ramanujan. "Investigating Sustainable Production Planning of an Industrial Progressive Die Stamping Process Using Discrete Event Simulation." In ASME 2024 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/detc2024-143648.

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Abstract This paper investigates the use of discrete event simulation (DES) as a potential decision-support tool for environmentally sustainable production planning. We propose a comprehensive methodology that integrates DES design, dynamic CO2 intensity calculations, and in-depth scenario analysis. This approach facilitates simulation-driven production planning with an emphasis on evaluating and reducing the environmental impacts of manufacturing. Our methodology is applied to the evaluation of an industrial progressive die stamping process (PDSP). The PDSP is a part of a production line in a
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