scholarly journals Manufacturing strategy implementation and performance benchmarking in Indian packaging product manufacturing companies

2016 ◽  
Vol 1 (1) ◽  
pp. 33
Author(s):  
Pradip P. Patil ◽  
B.E. Narkhede ◽  
Milind M. Akarte
2020 ◽  
Vol 10 (21) ◽  
pp. 7486
Author(s):  
Minjae Ko ◽  
Chul Kim ◽  
Seunghoon Lee ◽  
Yongju Cho

After the Industry 4.0 discussion in Germany in 2011, much attention has been paid to smart factory in Korea. Since 2014, smart factories have been established and expanded in Korea. However, about 80% of them were established at a low level. In this paper, we analyze smart factory statuses in detail through an empirical research on 113 manufacturing companies that have established smart factories in Korea. We build a framework based on the resource-based view (RBV) and IT value creation process and analyze the results of five constructs—manufacturing strategy, organization, system, process, and performance—using basic statistical methodologies to derive the current statuses of manufacturing companies that have established smart factories. Our results show that implementing advanced technologies such as AI technology that can implement semi-finished and finished product quality inspection, manufacturing process optimization and product demand forecast is a challenge, particularly for SMEs. We also find that securing and managing facility data is a difficult problem. In addition, while output and material management ranked high, the utilization of integration systems, which is important when building a smart factory, was found to be extremely low. Lastly, the performance indicator results showed that yield management and defect rate were most important, while job creation through the introduction of smart factories was low. Based on the results of this study, the government may be able to determine effective smart factory policies and provide manufacturing companies with a guide on establishing a smart factory.


2011 ◽  
Vol 3 (1) ◽  
pp. 1-13
Author(s):  
Agustin Ekadjaja ◽  
Vony Vony

This study aims to determine the effect of CSR Index to the value and performance of manufacturing companies listed on the Indonesia Stock Exchange (BEI), and to find out how much the ability of the variable CSR Index in explaining the variable Tobin’s Q, ROA, and ROE manufacturing companies listed on Indonesia Stock Exchange (BEI). This study uses data sampled during the 75 years from 2007 to 2009. A statistical method used to test the research hypothesis is a simple linear regression model. Therefore, before performing hypothesis testing carried out tests of classical assumptions. The results of this study prove that, CSR Index has a significant effect on Tobin’s Q and ROE with 95% confidence level. However, CSR Index has no significant influence on ROA with 95% confidence level. Key words : CSR Index, Variabel Tobin’s Q, ROA, ROE


Author(s):  
B. Verhaelen ◽  
F. Mayer ◽  
S. Peukert ◽  
G. Lanza

AbstractThe trend of globalization has led to a structural change in the sales and procurement markets of manufacturing companies in recent decades. In order not to be left behind by this change, companies have internationalized their production structures. Global production networks with diverse supply and service interdependencies are the result. However, the management of global production networks is highly complex. Key performance indicator (KPI) networks already exist at the corporate level and site level to support the management of complex systems. However, such KPI networks are not yet available to support the management of entire production networks. In this article, a KPI network for global production networks is presented, which links the key figures of the site level and the corporate level. By integrating both levels into a comprehensive KPI network, cause and effect relationship between the production-related KPIs and the strategic KPIs of a corporate strategy become transparent. To this end, this KPI network is integrated into a Performance Measurement and Management (PMM) methodology. This methodology consists of three phases: performance planning, performance improvement, and performance review. For testing the practical suitability, the PMM methodology is applied to the production network of an automotive supplier using a simulation model to estimate the effects of proposed improvement actions of the methodology.


2020 ◽  
Vol 24 (1) ◽  
pp. 1
Author(s):  
Rahmat Hidayat, Farah Margaretha Leon

This study aims to analyze the green CSR  of innovation performance  with firms approval variables  and public visibility   can support moderating the relationship of green CSR  and innovation. The research sample was 33 manufacturing companies. The results showed that the  green CSR has a positive and significant effect on innovation . Also, the company approval variable has been proven to moderate the direction of a positive relationship between green CSR and innovation . The results also prove that public visibility is proven to moderate the direction of the negative relationship between green CSR and performance. This study provide information that shows great concern for the environment; it will increase the company in making changes through innovation activities. Also, the higher the company's approval and public visibility, the company will get support from various stakeholders to run the firms. The level of company concern for CSR activities will be a misjudgment for investors.


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