Study on Indian Sugar Industry & Estimation of the Production of Sugarcane & White Sugar in the Country Using SPSS Through Cobb Douglas Model

2012 ◽  
Author(s):  
Gaurav Kalra
Keyword(s):  
2012 ◽  
pp. 449-453 ◽  
Author(s):  
Jan Iciek ◽  
Ilona Baszczyk ◽  
Joanna Biernasiak ◽  
Krystyna Lisik ◽  
Maciej Wojtczak

The main aim of this paper is to discuss the current state of knowledge on the chemical composition of floc isolated from acidified sugar solutions and explain the mechanism of its formation. The literature data shows that depending on the raw material used for the production of white sugar, i.e. sugar beet and sugarcane, the chemical composition of floc is different. The presence of polysaccharides i.e. dextran or levan in floc is a consequence of microbial activity. Therefore, it cannot be explicitly assumed that the origin of individual ingredients of floc is only the raw material, i.e. beets or sugarcane. Taking into account the literature data concerning the chemical composition of floc, it seems reasonable to link the direct impact of microbial biofilms present in sugar industry installations to the tendency of the final product to create floc. Currently, the basis for assessment of the proneness of sugar to create floc is the result of a 10-day test (ICUMSA Method GS2/3-40A). From the perspective of both producers and consumers of sugar, there is a need to develop and validate quick methods for assessing the tendency of sugar to create floc. This task is only possible to complete, when the mechanism of floc formation is fully explained.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fatemeh Afsharnia ◽  
Afshin Marzban ◽  
Mohammadamin Asoodar ◽  
Abas Abdeshahi

PurposeThe purpose of this paper is to optimize the preventive maintenance based on fault tree (FT)–Bayesian network (BN) reliability for sugarcane harvester machine as a fundamental machine in the sugar industry that must be operated failure-free during a given period of the harvesting process.Design/methodology/approachTo determine machine reliability using the algorithm developed based on mapping FTs into BNs, the common failures of 168 machines were carefully investigated over 12 years (2007–2019). This algorithm was then used to predict the harvester reliability, estimate delays by machine downtimes and their consequences on white sugar production losses that can be reduced by optimizing the preventive maintenance scheduling.FindingsThe optimization of preventive maintenance scheduling based on estimated reliability of sugarcane harvester machines using FT–BNs can reduce white sugar production losses, the operation-stopping breakdowns and the downtime costs as a crisis that the sugar industry is facing.Practical implicationsMachine reliability gradually decreased by 31.08% approximately, which resulted in a working time loss of 26% in the 2018–19 harvesting season. In total, the white sugar losses were estimated as 204.17 tons for burnt canes and 114.53 tons for green canes. The losses of the 2018–19 harvesting season have been 11.85 times greater than the first harvesting season. The proposed maintenance interval for critical subsystems including the hydraulic, chopper and base cutter were obtained as 1.815, 1.12 and 1.05 h, respectively.Originality/valueIn this study, a new approach was used to optimize preventive maintenance to reduce delays and their implications upon costs in time, inconvenience and white sugar losses. The FT–BNs algorithm was found a useful tool that was over-fitting of failure occurrence probabilities data for sugarcane harvester machine.


2017 ◽  
Vol 52 (4) ◽  
pp. 439-466 ◽  
Author(s):  
Stefanie Affeldt

Abstract This article investigates the history of the Queensland cane sugar industry and its cultural and political relations. It explores the way the sugar industry was transformed from an enterprise drawing on the traditional plantation crop cultivated by an unfree labour force and employing workers into an industry that was an important, symbolical element of ‘White Australia’ that was firmly grounded in the cultural, political, nationalist, and racist reasoning of the day. The demographic and social changes drew their incitement and legitimation from the ‘White Australia’ culture that was represented in all social strata. Australia was geographically remote but culturally close to the mother country and was assigned a special position as a lone outpost of Western culture. This was aggravated by scenarios of allegedly imminent invasions by the surrounding Asian powers, which further urged cane sugar’s transformation from a ‘black’ to a ‘white man’s industry’. As a result, during the sugar strikes of the early 20th century, the white Australian sugar workers were able to emphasize their ‘whiteness’ to press for improvements in wages and working conditions. Despite being a matter of constant discussion, the public acceptance of the ‘white sugar campaign’ was reflected by the high consumption of sugar. Moreover, the industry was lauded for its global uniqueness and its significance to the Australian nation. Eventually, the ‘burden’ of ‘white sugar’ was a monetary, but even more so moral support of an industry that was supposed to provide a solution to population politics, support the national defence, and symbolize the technological advancement and durability of the ‘white race’ in a time of crisis.


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