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Influence of Lean Automation on Resource Wastage in Sugar Industries: Case in Kenya

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@article{IJASEIT9261,
   author = {Osore E.A.E and Ogot M.M and Ogola J.M},
   title = {Influence of Lean Automation on Resource Wastage in Sugar Industries: Case in Kenya},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {10},
   number = {5},
   year = {2020},
   pages = {1963--1969},
   keywords = {the level of automation; waste reduction; lean thinking; power consumption; cycle time; set up a time.},
   abstract = {Sustainability of resource utilization in local sugar industries is on a decline due to the adoption of obsolete technology, among other factors. In this regard, there is a need for an advanced manufacturing approach to address resource wastages in the local industries. Resource utilization efficiency of a sugar cane industry can be varied through combinations of energy consumption, setup time, and cycle time. However, this depends on manufacturing technology used by the industry that is embodied in different levels of automation. Thus, this study carried out an analysis of the different levels of automation at different stages of the pre-milling process of sugarcane in the case industry to determine the optimum automation level for efficient resource utilization. A randomized block experiment was adopted, and for each indicator under investigation, seven replicates were conducted for the reliability of results. It was found that the rate of power consumption employing LoA 4 (conventional automation) was relatively higher with a total of 45044 kW compared to when LoA 5 (SCADA) or LoA 6 (DCS) was used with a total power consumption of 42058 kW and 42008 kW respectively. Similarly, LoA 5 and 6 have virtually negligible setup and cycle times involved except when it is after a general plant overhaul. This is as a result of minimum variations in the process parameters due to their real-time monitoring and control. Therefore, lean automation proves to be the ultimate technique that should be adopted in our sugar industries.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9261},
   doi = {10.18517/ijaseit.10.5.9261}
}

EndNote

%A E.A.E, Osore
%A M.M, Ogot
%A J.M, Ogola
%D 2020
%T Influence of Lean Automation on Resource Wastage in Sugar Industries: Case in Kenya
%B 2020
%9 the level of automation; waste reduction; lean thinking; power consumption; cycle time; set up a time.
%! Influence of Lean Automation on Resource Wastage in Sugar Industries: Case in Kenya
%K the level of automation; waste reduction; lean thinking; power consumption; cycle time; set up a time.
%X Sustainability of resource utilization in local sugar industries is on a decline due to the adoption of obsolete technology, among other factors. In this regard, there is a need for an advanced manufacturing approach to address resource wastages in the local industries. Resource utilization efficiency of a sugar cane industry can be varied through combinations of energy consumption, setup time, and cycle time. However, this depends on manufacturing technology used by the industry that is embodied in different levels of automation. Thus, this study carried out an analysis of the different levels of automation at different stages of the pre-milling process of sugarcane in the case industry to determine the optimum automation level for efficient resource utilization. A randomized block experiment was adopted, and for each indicator under investigation, seven replicates were conducted for the reliability of results. It was found that the rate of power consumption employing LoA 4 (conventional automation) was relatively higher with a total of 45044 kW compared to when LoA 5 (SCADA) or LoA 6 (DCS) was used with a total power consumption of 42058 kW and 42008 kW respectively. Similarly, LoA 5 and 6 have virtually negligible setup and cycle times involved except when it is after a general plant overhaul. This is as a result of minimum variations in the process parameters due to their real-time monitoring and control. Therefore, lean automation proves to be the ultimate technique that should be adopted in our sugar industries.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9261
%R doi:10.18517/ijaseit.10.5.9261
%J International Journal on Advanced Science, Engineering and Information Technology
%V 10
%N 5
%@ 2088-5334

IEEE

Osore E.A.E,Ogot M.M and Ogola J.M,"Influence of Lean Automation on Resource Wastage in Sugar Industries: Case in Kenya," International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 5, pp. 1963-1969, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.5.9261.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - E.A.E, Osore
AU  - M.M, Ogot
AU  - J.M, Ogola
PY  - 2020
TI  - Influence of Lean Automation on Resource Wastage in Sugar Industries: Case in Kenya
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 5
Y2  - 2020
SP  - 1963
EP  - 1969
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - the level of automation; waste reduction; lean thinking; power consumption; cycle time; set up a time.
N2  - Sustainability of resource utilization in local sugar industries is on a decline due to the adoption of obsolete technology, among other factors. In this regard, there is a need for an advanced manufacturing approach to address resource wastages in the local industries. Resource utilization efficiency of a sugar cane industry can be varied through combinations of energy consumption, setup time, and cycle time. However, this depends on manufacturing technology used by the industry that is embodied in different levels of automation. Thus, this study carried out an analysis of the different levels of automation at different stages of the pre-milling process of sugarcane in the case industry to determine the optimum automation level for efficient resource utilization. A randomized block experiment was adopted, and for each indicator under investigation, seven replicates were conducted for the reliability of results. It was found that the rate of power consumption employing LoA 4 (conventional automation) was relatively higher with a total of 45044 kW compared to when LoA 5 (SCADA) or LoA 6 (DCS) was used with a total power consumption of 42058 kW and 42008 kW respectively. Similarly, LoA 5 and 6 have virtually negligible setup and cycle times involved except when it is after a general plant overhaul. This is as a result of minimum variations in the process parameters due to their real-time monitoring and control. Therefore, lean automation proves to be the ultimate technique that should be adopted in our sugar industries.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9261
DO  - 10.18517/ijaseit.10.5.9261

RefWorks

RT Journal Article
ID 9261
A1 E.A.E, Osore
A1 M.M, Ogot
A1 J.M, Ogola
T1 Influence of Lean Automation on Resource Wastage in Sugar Industries: Case in Kenya
JF International Journal on Advanced Science, Engineering and Information Technology
VO 10
IS 5
YR 2020
SP 1963
OP 1969
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 the level of automation; waste reduction; lean thinking; power consumption; cycle time; set up a time.
AB Sustainability of resource utilization in local sugar industries is on a decline due to the adoption of obsolete technology, among other factors. In this regard, there is a need for an advanced manufacturing approach to address resource wastages in the local industries. Resource utilization efficiency of a sugar cane industry can be varied through combinations of energy consumption, setup time, and cycle time. However, this depends on manufacturing technology used by the industry that is embodied in different levels of automation. Thus, this study carried out an analysis of the different levels of automation at different stages of the pre-milling process of sugarcane in the case industry to determine the optimum automation level for efficient resource utilization. A randomized block experiment was adopted, and for each indicator under investigation, seven replicates were conducted for the reliability of results. It was found that the rate of power consumption employing LoA 4 (conventional automation) was relatively higher with a total of 45044 kW compared to when LoA 5 (SCADA) or LoA 6 (DCS) was used with a total power consumption of 42058 kW and 42008 kW respectively. Similarly, LoA 5 and 6 have virtually negligible setup and cycle times involved except when it is after a general plant overhaul. This is as a result of minimum variations in the process parameters due to their real-time monitoring and control. Therefore, lean automation proves to be the ultimate technique that should be adopted in our sugar industries.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9261
DO  - 10.18517/ijaseit.10.5.9261