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Journal articles on the topic 'Manufacturing capacity utilization'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

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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2

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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3

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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4

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'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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5

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’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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6

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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7

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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8

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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9

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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10

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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11

Chollom, Pam, Pam Gyang, Chinedu Monday, and Udoh Sylvanus. "EFFECTS OF INTEREST RATES ON PERFORMANCE OF MANUFACTURING FIRMS IN NIGERIA." International Journal of Advanced Research in Statistics, Management and Finance 8, no. 1 (2021): 86–95. http://dx.doi.org/10.48028/iiprds/ijarsmf.v8.i1.08.

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The study evaluates the effect of interest rates on the performance of manufacturing firms in Nigeria between 1981 to 2018. Despite all attempts in developing the manufacturing sector it is still not performing or growing as expected. Statistics have shown that the share of manufacturing in the aggregate GDP declined from 5.3% in 1981 to 4.1% in 1993, 3.4% in 2005, and 4.1% in 1993, 3.4% in 2005, and 2.1% in 2016. The objective of the study is to assess the relationship between interest rates and the performance of manufacturing firms in Nigeria for 38 years. Three indicators such as manufactu

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12

Preeti, Joshi Bhardwaj. "Capacity Utilisation Is A Magic Wand For Manufacturing PSU." Journal of Management Engineering and Information Technology (JMEIT) 5, no. 1 (2018): 8–12. https://doi.org/10.5281/zenodo.1186162.

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Capacity Utilization is the extent to which an enterprise or a nation actually uses its installed capacity. It is the relationship between output that is actually produced with installed equipment and potential output which could be produced with it, if capacity was fully used. Capacity Utilization is a key factor for the public sector companies especially in manufacturing industry. It’s linked to price variation branching from corresponding supply catering to the demand of the product/ services. It is one of their main objectives in support to providing important products/ services to t

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13

Saka, Kamilu A., and Yisau I. Bolanle. "Autoregressive distributed lag estimation of bank financing and Nigerian manufacturing sector capacity utilization." Quantitative Finance and Economics 7, no. 1 (2023): 74–86. http://dx.doi.org/10.3934/qfe.2023004.

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<abstract> <p>This study examined the short-term and long-term relationship between credit financing by commercial banks and capacity utilization of the manufacturing sector in Nigeria. The study employed both classical Multiple Linear Regression (OLS-MLR) and the autoregressive distributed lag model (ARDL) to analyze data representing the period 1981–2020 relating to sectoral credit finance,labor employment,and capacity utilization from the <xref ref-type="bibr" rid="b6">Central Bank of Nigeria Statistical Bulletin (2020)</xref> and <xref ref-type="bibr" rid="b38"&g

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14

ATTAHIR, Oussama. "Reducing the burden on the federal public budget by continuously improving health Services Case Study - Iraqi Ministry Of Health And Environment." Journal of Economic Growth and Entrepreneurship JEGE 3, no. 1 (2019): 9–17. https://doi.org/10.5281/zenodo.4476474.

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<em>In this article, we discuss the role of capacity planning and utilization in Manufacturing Planning and Control (MPC) systems. We mainly focus on techniques to determine the capacity requirements involved in a production plan, production master plan or detailed material plans. This article is organized around these topics:</em> <em>The role of capacity planning in MPC systems.</em> <em>Capacity Planning and Control Techniques: How Capacity Requirements can be estimated and Capacity Utilization Controlled?</em> <em>Plan capacity and materials simultaneously: how to apply limited planning te

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15

ATTAHIR, Oussama. "Capacity Planning and Utilization: Techniques and links in the Supply Chain." Journal of Economic Growth and Entrepreneurship JEGE 3, no. 1 (2019): 9–17. https://doi.org/10.5281/zenodo.4483874.

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<em>In this article, we discuss the role of capacity planning and utilization in Manufacturing Planning and Control (MPC) systems. We mainly focus on techniques to determine the capacity requirements involved in a production plan, production master plan or detailed material plans. This article is organized around these topics:</em> <em>The role of capacity planning in MPC systems.</em> <em>Capacity Planning and Control Techniques: How Capacity Requirements can be estimated and Capacity Utilization Controlled?</em> <em>Plan capacity and materials simultaneously: how to apply limited planning te

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16

Kojo Edeme, Richardson, Johnson Nchege, and Idiota Dorathy. "Infrastructure Development, Capacity Utilization and Manufacturing Value Added in Nigeria." Economics and Finance Letters 7, no. 2 (2020): 104–11. http://dx.doi.org/10.18488/journal.29.2020.72.104.111.

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17

Emeka, Atume, Igberi Ogonna, Udude Chinyere, and Odo Idenyi. "Power Supply, Average Manufacturing Capacity Utilization and Unemployment in Nigeria." Asian Research Journal of Arts & Social Sciences 1, no. 2 (2016): 1–15. http://dx.doi.org/10.9734/arjass/2016/27683.

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18

Krüger, Jens J. "Capacity utilization and technology shocks in the US manufacturing sector." International Review of Applied Economics 22, no. 3 (2008): 287–98. http://dx.doi.org/10.1080/02692170802003368.

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19

Deb, Arnab K. "Economic Reforms, Capacity Utilization and Productivity Growth in Indian Manufacturing." Global Business Review 15, no. 4 (2014): 719–46. http://dx.doi.org/10.1177/0972150914543240.

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20

Felix, D.N., J.L. Ogba, and G.G. Goshit. "Impact of Trade Liberalization on Capacity Utilization of Manufacturing Sectors in Nigeria." Zamfara International Journal of Education 4, no. 3 (2024): 228–35. https://doi.org/10.5281/zenodo.14259118.

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This study is aimed at investigating the impact of trade liberalization on capacity utilization of manufacturing sector in Nigeria, through the use of Dynamic Ordinary Least Square Method (DOLS) technique. This study utilized annual time series data which will be collected from secondary sources mainly; the Central Bank of Nigeria (CBN) statistical bulletin of various years, World Development Indicator (WDI) and the National Bureau of statistics (NBS). The findings suggested that trade liberalization has no significant impact on the capacity utilization of the manufacturing sector in Nigeria a

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21

Zhao, Ning, and Jianxin Ren. "Impact of enterprise digital transformation on capacity utilization: Evidence from China." PLOS ONE 18, no. 3 (2023): e0283249. http://dx.doi.org/10.1371/journal.pone.0283249.

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Based on empirical analysis of Chinese listed companies from 2010 to 2018, we demonstrate that enterprise digital transformation has a significant impact on improving capacity utilization. Digital transformation is a significant driving force behind enterprise-specific production and innovation. Furthermore, enterprise innovation and enterprise-specialized production play a mediating role in the impact of enterprise digital transformation on capacity utilization. Based on these baseline findings, heterogenous analysis reveals that the impact of digital transformation on capacity utilization is

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22

Shen, Yi, and Xiaoxin Yang. "Study on the Impact of Breakthrough and Incremental Innovation on Firm Capacity Utilization." Sustainability 14, no. 22 (2022): 14837. http://dx.doi.org/10.3390/su142214837.

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Effectively resolving manufacturing overcapacity is an important way for China to stimulate economic vitality and achieve high-quality economic development. Although research on technological innovation to resolve overcapacity has attracted academic attention, less research has been conducted from the perspective of innovation intensity. This paper uses the panel data of 1447 A-share listed companies in China’s manufacturing industry from 2016 to 2020, based on a two-way fixed effects model. The paper divides technological innovation into two dimensions to explore the impact of breakthrough in

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23

Bhagat, Sadan Kumar. "Capacity Utilization in Nepalese Sugar Industry." Tribhuvan University Journal 27, no. 1-2 (2010): 149–58. http://dx.doi.org/10.3126/tuj.v27i1-2.26398.

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Under utilization of production capacity is a common issue for Nepalese manufacturing enterprises and sugar industry is no exception to this. This study mainly deals with the cause of underutilization of production capacity of Nepalese sugar mills as well as the market situation of sugar and sugarcane. Inspite of sufficient production of sugarcane, the sugar mills do not get adequate quantity and proper quality of sugarcane at right time. Almost half of the sugarcane production has no market which reveals the poor procurement system. The approved production capacity of Nepalese sugar mills is

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24

Saliu, Mojeed Olanrewaju. "Financial System Stability and Manufacturing Performance in Nigeria." International Journal of Finance & Banking Studies (2147-4486) 10, no. 1 (2021): 109–18. http://dx.doi.org/10.20525/ijfbs.v10i1.1188.

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This study investigates the relationship between the three measures of manufacturing performance [manufacturing production growth rate (MPGR), share of manufacturing in GDP (SMGDP), capacity utilization rate (CUR)] and the variables of financial system stability [exchange rate (EXR), fiscal deficit (FD), lending rate (LR), saving rate (SR), consumer price index (CPI), bank loan to manufacturing sector (BLM)]. The study uses Johansen cointegration and Parsimonious error correction model as the estimation techniques. Findings from the results of the study reveals that there is a long-run relatio

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25

Sen Rimo, Tan Hauw, and Ong Chai Tin. "A simulation study of capacity utilization to predict future capacity for manufacturing system sustainability." IOP Conference Series: Earth and Environmental Science 109 (December 2017): 012020. http://dx.doi.org/10.1088/1755-1315/109/1/012020.

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26

Obhiosa, Benedict Omonkalo, Olalekan B. Aworinde, and Esther Lawal. "Non-Oil Export Promotion and Manufacturing Capacity Utilization in Nigeria and South Africa: A Tale of Two Countries in Africa." International Journal of Social Science and Human Research 07, no. 04 (2024): 2334–43. https://doi.org/10.5281/zenodo.10968137.

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This paper studies the dynamics between non-oil export promotion and manufacturing capacity utilization in Nigeria and South Africa. The empirical analysis applies the asymmetric ARDL cointegration technique proposed by Shin et al. (2011) from 1986 to 2022. The evidence suggests that ignoring the intrinsic nonlinearities may lead to misleading inference. In particular, the results reveal significant differences in the response of manufacturing capacity utilization to positive or negative changes in non-oil export and other explanatory variables in both the long- and short-run time horizons. Th

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27

P., Sivasankaran, Radjaram B., and Karthigayan K. "Maximizing Machine Capacity by Improving Efficiency using Linear Programming Model." International Journal of Recent Technology and Engineering (IJRTE) 9, no. 3 (2020): 107–14. https://doi.org/10.35940/ijrte.C4217.099320.

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In the global manufacturing system, machine performance is considered to be one of the vital role in organization wellbeing. In specific analysing the capacity utilization of machines in each shift is a big challenging job in industrial organization. The primary importance is keeping the machines in uptime condition at the same time loading the jobs in machines decides the capacity usage of machines to do the useful jobs. In this paper focus is made on the capacity planning of machines in production shift. capacity utilization measures the actual capacity of machine with respect to the potenti

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28

Hayati, Mukti Asih, Kuan Eng Chong, and Mei Ph'ng Lee. "Simulation of mixed-load testing process in an electronic manufacturing company." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 1 (2019): 408–16. https://doi.org/10.12928/TELKOMNIKA.v17i1.10146.

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The automatic testing machine, called by mixed-load tester, has ability to load and test multiple product families in different testing durations simultaneously. However, the high product mixes for each product family undergoes a different process flow. In addition, the capability of the robot inside tester used for loading and unloading a product to each slot makes the capacity planning problem more complicated. It effects low tester utilization. This paper developed simulation models of capacity planning scenarios under demand and testing time uncertainty. These scenarios are built by robust

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29

Hassan, Arab Dahir, and Razim Ozcan. "Assessing the impact of Financial Obstacles on Manufacturing Firm's capacity utilization: Bayesian Approach." Indonesian Capital Market Review 15, no. 1 (2023): 57–69. http://dx.doi.org/10.21002/icmr.v15i1.1156.

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This study investigates the relationship between financial obstacles and the capacity utilization of manufacturing firms. It departs from previous studies by employing a Bayesian linear regression analysis. The results demonstrate the considerable negative effect that financial constraints have on the capacity utilization of manufacturing enterprises, while access to credit lines has a positive effect. The sample consists of 1,494 private manufacturing firms in 31 European and Central Asian countries. Financial obstacles were perceived as a major impediment to business operations by 65% of the

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30

Zhu, Xuechang, Hui Shang, Zhen Dai, and Bin Liu. "The Impact of E-Commerce Sales on Capacity Utilization." Engineering Economics 32, no. 5 (2021): 499–516. http://dx.doi.org/10.5755/j01.ee.32.5.28508.

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This study aims to examine the relationship between e-commerce sales and capacity utilization in China, with process innovation being the mediator and product focus being the moderator. A mediated moderation model was developed and tested using data from 804 Chinese manufacturing firms as well as two-stage least squares regression analysis. The results reveal that the relationship between e-commerce sales and capacity utilization is negative; while process innovation mediates this relationship. Furthermore, product focus not only moderates the relationship between e-commerce sales and capacity

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31

Burange, L. G. "Implications of Full Capacity Utilization of Manufacturing Sector in Indian Economy." Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics 35, no. 2 (1993): 160. http://dx.doi.org/10.21648/arthavij/1993/v35/i2/116042.

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32

Lee, Youn Jai, and Jene K. Kwon. "Interpretation and measurement of capacity utilization: the case of Korean manufacturing." Applied Economics 26, no. 10 (1994): 981–90. http://dx.doi.org/10.1080/00036849400000105.

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33

Benegas, Mauricio, and Hermelino N. Souza. "Non-Parametric Estimation of Capacity Utilization Rates in Brazilian Manufacturing Industry." Revista Brasileira de Economia 78, no. 2 (2024): 01–17. http://dx.doi.org/10.5935/0034-7140.20240011.

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34

Gözlü, Sitki, Demet Bayraktar, and Selahaddin Baykaş. "Improvement of capacity utilization in a subcontracting small scale manufacturing company." Computers & Industrial Engineering 37, no. 1-2 (1999): 31–34. http://dx.doi.org/10.1016/s0360-8352(99)00017-0.

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35

Galimov, D., A. Gnidchenko, O. Mikheeva, A. Rybalka, and V. Salnikov. "Production capacity in Russian manufacturing: Primary trends and structural characteristics." Voprosy Ekonomiki, no. 5 (May 20, 2017): 60–88. http://dx.doi.org/10.32609/0042-8736-2017-5-60-88.

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The paper estimates capacity utilization rate in Russian manufacturing. We also propose the way of building continuous time series of production capacity and analytical indicators used to describe the basic characteristics of production capacity. The data comes from statistical form No. 1-Natura-BM of Russian Federal State Statistics Service. Our findings about trends and structural characteristics of production capacity are shown to be significant for economic policy.

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36

Asyik, Noor, Athor Subroto, and Dalili Izni Shafie. "The Analysis of Capacity Utilization Production as a Basis for Review Corporate Strategy According Islamic Economics." IKONOMIKA 8, no. 2 (2023): 245. https://doi.org/10.24042/ijebi.v8i2.20011.

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Capacity utilization is important in manufacturing strategies, especially in make-to-order manufacturing strategies. It is used to measure the best production achievements. The parameters for achieving the best production can be measured by reaching the break-even point, namely the point at which the costs are equal to income. In 2022 the capacity utilization production of PT XYZ which is a precast concrete industrial corporation in Indonesia is 73.40% and under the break-even point. Achieving utilization above the break-even point is a competitive advantage for the corporation. This research

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37

Pérez Artica, Rodrigo. "The impact of excess capacity on the investment falloff." Panoeconomicus, no. 00 (2022): 17. http://dx.doi.org/10.2298/pan180301017p.

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I documented a widespread decline in the rate of capacity utilization in the US manufacturing industry during the last decades, which parallels a worsening trend of gross capital formation. I conducted several exploratory exercises to investigate whether utilization rates were actually related to the investment performance during 1952-2014. Vector auto-regressive estimates imply a non-trivial quantitative relationship between utilization rates and investment, which accounts for a decline equivalent to more than 30% of the average investment falloff over the whole period considered. Finally, I

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38

Yohannes, Zemene, Amare Matebu, and Fekade Asrat. "Binary logistic regression analysis on determinants of capacity utilization in medium and large manufacturing industries in Ethiopia." Asian Development Policy Review 11, no. 1 (2023): 1–11. http://dx.doi.org/10.55493/5008.v11i1.4713.

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Most manufacturing industries in Ethiopia are not operating at full capacity. The manufacturing industry is one of the main determinants of the economic growth of a country; therefore, the reasons why they are not operating at full capacity have to be assessed. The aim of this study is to assess determinant factors associated with Ethiopia’s large and medium manufacturing industries (henceforth referred to as LMMIs in this study) not working at full capacity based on 2020 LMMI survey data. In this study, 3,067 large and medium manufacturing industries were examined. Among these industries, 78.

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39

Fevolden, Arne Martin. "New Perspectives on Capacity Utilization: From Moving Assembly Lines to Computer-Based Control Systems." International Journal of Innovation and Technology Management 12, no. 04 (2015): 1550014. http://dx.doi.org/10.1142/s0219877015500145.

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This paper investigates how our understanding of capacity utilization has changed over the last two centuries. By reviewing contemporary and historical literature, it argues that two perspectives on capacity utilization developed during this period — a "traditional" and a "modern" perspective. It finds that the "traditional" perspective was prevalent up until WWI and focused on mass production and managerial control as means to maintain a high level of capacity utilization, while the "modern" perception took form after WWI and could be described partially as reaction to and partially as an ext

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40

Adıgüzel, Hümeyra, and Marios Floros. "Capacity utilization analysis through time-driven ABC in a small-sized manufacturing company." International Journal of Productivity and Performance Management 69, no. 1 (2019): 192–216. http://dx.doi.org/10.1108/ijppm-11-2018-0397.

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Purpose The purpose of this paper is to provide a case study about the capacity utilization analysis in a small-sized manufacturing company through the application of time-driven activity-based costing (TDABC). After a brief overview of development of the TDABC system, a detailed application of TDABC and capacity utilization analysis in a bakery is given. Design/methodology/approach This paper is based on a case study about the application of TDABC in a small-sized Greek manufacturing firm. In the case study, time equations were developed for the supporting, operating and manufacturing departm

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41

Mesagan, Ekundayo, Ndubuisi Olunkwa, and Ismaila Yusuf. "Financial Development and Manufacturing Performance: The Nigerian Case." Studies in Business and Economics 13, no. 1 (2018): 97–111. http://dx.doi.org/10.2478/sbe-2018-0009.

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AbstractThe study focused on financial sector development and manufacturing performance in Nigeria over the period of 1981 to 2015. In the study, three indicators such as manufacturing capacity utilization, manufacturing output and manufacturing value added were employed to proxy manufacturing performance while money supply as a percentage of GDP, domestic credit to the private sector and liquidity ratio were employed to proxy financial development. The study observed that credit to the private sector and money supply positively but insignificantly enhanced capacity utilization and output, but

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42

Pennings, Enrico, and Martin Natter. "Strategic diversification and capacity utilization." International Journal of Production Economics 72, no. 3 (2001): 261–72. http://dx.doi.org/10.1016/s0925-5273(00)00161-4.

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43

Gajanan, Shailendra, and D. Malhotra. "Measures of capacity utilization and its determinants: a study of Indian manufacturing." Applied Economics 39, no. 6 (2007): 765–76. http://dx.doi.org/10.1080/00036840500447732.

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44

Irani, S. A., and S. K. Khator. "Capacity utilization and machine sharing in a group technology based manufacturing system." Computers & Industrial Engineering 11, no. 1-4 (1986): 73–77. http://dx.doi.org/10.1016/0360-8352(86)90051-3.

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45

Cheng, Zhonghua, Jun Liu, Lianshui Li, and Xinbei Gu. "The effect of environmental regulation on capacity utilization in China’s manufacturing industry." Environmental Science and Pollution Research 27, no. 13 (2020): 14807–17. http://dx.doi.org/10.1007/s11356-020-08015-9.

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46

Okul, Edwin Ochieng. "ORGANIZATIONAL CAPACITY AND UTILIZATION OF EVALUATION RESULTS." Advances in Social Sciences Research Journal 8, no. 9 (2021): 87–106. http://dx.doi.org/10.14738/assrj.89.10030.

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A major concern in programme management, given the potential of programme or project evaluations to inform decision-making, has been how to ensure the results or findings of an evaluation are used for the intended purpose. How information from an evaluation process and/or the products are used in practice and decision making is equally a concern for evaluators. This article presents a research that sought to explore the extent to which organizational capacity impacts the utilization of evaluation findings for programme improvement. Guided by the pragmatic paradigm and informed by the Utilizati

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Eveline, Eveline, Joko Santoso, and Magnarai Huangdinata. "Utilization of Carp (Cyprinus carpio) as Surimi For Sausage Manufacturing." Jurnal Pengolahan Hasil Perikanan Indonesia 22, no. 2 (2019): 366–74. http://dx.doi.org/10.17844/jphpi.v22i2.27892.

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Carp (Cyprinus carpio) is a freshwater fish with high economic value and good farming potential. Carp-based product diversification could be done by using it as food ingredients such as surimi in sausage manufacture. This research was aimed to evaluate sausage produced from carp surimi by varying washing frequency and tapioca filler concentration. Five washing frequencies (1; 2; 3; and 4 times) and three tapioca filler concentrations (2; 3; and 4%) were compared. The study showed 1 time washing frequency gave better surimi physical characteristics (57.40% yield; 73.76% water holding capacity;

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Kogan, Konstantin, and Hanan Tell. "Production smoothing by balancing capacity utilization and advance orders." IIE Transactions 41, no. 3 (2009): 223–31. http://dx.doi.org/10.1080/07408170802116305.

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Blakey, S. G., and S. B. M. Beck. "Energy consumption and capacity utilization of galvanizing furnaces." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 218, no. 4 (2004): 251–59. http://dx.doi.org/10.1243/0954408042466927.

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Zwalbong, Nimfa F., Hauwa L. Abubakar, and Umar Abbas Ibrahim. "Financial Reforms in Nigeria and Its Effect on the Performance of Quoted Manufacturing Firms." WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 19 (September 6, 2022): 1443–51. http://dx.doi.org/10.37394/23207.2022.19.130.

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The study examined the effect of financial reforms on the performance of quoted manufacturing firms in Nigeria. The study used an expo-facto research design. The study population comprises 44 manufacturing companies quoted at [1], which include Agriculture, Conglomerates, Consumer goods, Healthcare / Pharmaceuticals, Industrial goods, and Natural Resources. Thus, using a study period of 10 years (2010 – 2019) data on financial sector reforms (financial deepening, domestic credit, liquidity, market capitalisation, exchange rate and interest rate) carried out in Nigeria, being the independent va

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