An empirical study on remedial measures to overcome the challenges faced by plastic processing industry

Author(s):  
H.S. Bisht ◽  
D. Singh ◽  
N. Sandhu
2001 ◽  
Vol 39 (1) ◽  
pp. 51-80 ◽  
Author(s):  
J. Henry Owusu

Like many other Sub-Saharan African countries, Ghana implemented an orthodox Structural Adjustment Programme (SAP), to resuscitate its ailing economy, in the early 1980s. Subsequently, there has been a dramatic expansion in the production and export of processed wood. Based on an empirical study of Ghana's formal wood processing industry, this paper discusses the various determinants that have combined to boost the export-oriented output in the industry, particularly in the first decade of the programme, and assesses the extent to which the SAP-based policy actions account for the change. The study concludes that adjustment played a major role in the change, and suggests that even though SAP supporters and critics disagree on the nature, dynamics and effects of the programme, government measures under the programme are an indicator of what real commitment on the part of African governments can do to engender production expansion in comparable African manufacturing industries.


2019 ◽  
Vol 39 (5) ◽  
pp. 472-480 ◽  
Author(s):  
Maria Sonnenberg ◽  
René Gustus ◽  
Sascha Sedelmeier ◽  
Lienhard Wegewitz ◽  
Oliver Höfft ◽  
...  

Abstract In the plastic-processing industry, the formation of unknown deposits at the interface between polymer melt and steel surfaces can pose major challenges, which occurs especially on screws, barrels, and tools. These deposits will detach during production and lead to quality restrictions mostly as spots in the products. We investigated the interactions between tool steel and polymer melt, especially polycarbonate, in the early stages of deposit formation. Steel-polymer-composite samples are prepared close to the realistic conditions in the plastic-processing industry. To get further insight, thin polymer films on tool steel specimens and its alloy elements, representing model systems, are prepared. X-ray-photoelectron spectroscopy (XPS) and Auger electron spectroscopy (AES) are used to characterize the interfaces chemically. Additionally, atomic force microscopy (AFM) and scanning electron microscopy (SEM) were used. We found iron and chromium diffusion into the polycarbonate melt induced by polymer metal interaction. Iron and polymer chains are immobilized at the interface by a chemical interaction, while chromium does not chemically interact with the polymer melt. Basing on these results, we propose a mechanism for deposit formation in plastic-processing machines and tools.


2014 ◽  
Vol 54 ◽  
pp. 376-388 ◽  
Author(s):  
D.H. Kokate ◽  
D.M. Kale ◽  
V.S. Korpale ◽  
Y.H. Shinde ◽  
S.V. Panse ◽  
...  

2016 ◽  
Vol 12 (2) ◽  
pp. 101-110
Author(s):  
Jyoti Jaydeep Nair ◽  
J K Sachdeva

 AbstractBusinesses across the globe faces challenges to ensure stability, growth and sustainability. Companies have to deal with changes in economic, social, cultural, political and technological environment. Companies failing to do may face financial distress causing default in payment of contractual obligations and erosion of shareholders wealth. In a business scenario where the stakeholders are many viz. shareholders, lenders, employees, government and society at large, protection of the interests of the stakeholders assume prime importance. Company’s management are expected to identify signals that indicate distress and take remedial measures. This paper attempts to identify distress signals in textile sector in India. Textile sector is one of the largest sector in India. However one third of companies in this sector have reported losses for the previous year. This study aims to examine the factors that can differentiate a distressed company from a non- distressed company so that the factors signifying distress can be studied. Listed companies in textile sector incurring continuous losses for three years were selected for the study. Financial ratios were used as variables. Logistic regression was applied to identify the most important factors indicating distress. It was observed that ratios measuring profitability and efficiency were significant in predicting distress. Key words:  Financial distress, distress signals, textile sector, continuous losses, financial ratios


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