7. RESULTS AND DISCUSSIONS
7.8 Summary of Milling Areas’ Results
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Figure 7.12 Categories of possible root causes of problems in South African sugarcane milling areas
Figure 7.13 Thematic areas of the factors that negatively affect the performance of the Eston
Thirty seven factors were identified as the drivers of poor performance in the Eston milling area. The five top ranked driver factors were rain, low
supply, drought and no-cane mill stops. One hundred and sixty five factors were identified as possible indicators of poor performance in the Eston milling area. The
indicator factors were crush rate varia LOMS, sucrose percentage in cane
purity and cane deterioration. Ninety four factors were identified as the possible root causes of poor performance in the Eston milling area. Rain, in
mechanical harvesting and poor communication infrastructure were the five top ranked possible root causes of poor performance in the Eston milling area.
7.8.2 The Felixton milling a
Eighty two factors were perceived by the stakeholders to negatively affect the performance of the Felixton sugarcane milling area. The factors fell under eight thematic areas. Figure
a graphic representation of the percentage of factors that fell under the thematic areas. About sixty five percent of the factors fell under three thematic areas;
cane to mills, (b) cane production and harvesting and
Cane production and harvesting Cane milling
Cane quality Labour
95
Thematic areas of the factors that negatively affect the performance of the Eston sugarcane milling area.
Thirty seven factors were identified as the drivers of poor performance in the Eston milling area. The five top ranked driver factors were rain, low diffuser throughput, unreliable cane cane mill stops. One hundred and sixty five factors were identified as possible indicators of poor performance in the Eston milling area. The
indicator factors were crush rate variability, lodging of cane, deviation from allocation, sucrose percentage in cane, BHTCD, diffuser residence time, milling efficiency, juice . Ninety four factors were identified as the possible root causes ce in the Eston milling area. Rain, in-field loading of cane, aged equipment, mechanical harvesting and poor communication infrastructure were the five top ranked possible root causes of poor performance in the Eston milling area.
area results
Eighty two factors were perceived by the stakeholders to negatively affect the performance of the Felixton sugarcane milling area. The factors fell under eight thematic areas. Figure
a graphic representation of the percentage of factors that fell under the thematic areas. About sixty five percent of the factors fell under three thematic areas; viz. (a) transport and supply of cane to mills, (b) cane production and harvesting and (c) cane milling.
Cane production and harvesting Cane transport and supply
Cane milling Environment
Cane quality Economics
Cross cutting
Thematic areas of the factors that negatively affect the performance of the Eston
Thirty seven factors were identified as the drivers of poor performance in the Eston milling diffuser throughput, unreliable cane cane mill stops. One hundred and sixty five factors were identified as possible indicators of poor performance in the Eston milling area. The top ten ranked bility, lodging of cane, deviation from allocation, , BHTCD, diffuser residence time, milling efficiency, juice . Ninety four factors were identified as the possible root causes field loading of cane, aged equipment, mechanical harvesting and poor communication infrastructure were the five top ranked
Eighty two factors were perceived by the stakeholders to negatively affect the performance of the Felixton sugarcane milling area. The factors fell under eight thematic areas. Figure 7.14 is a graphic representation of the percentage of factors that fell under the thematic areas. About . (a) transport and supply of
Figure 7.14 Thematic areas of the factors that negatively affect the performance of the
Twenty eight factors were identified as the drivers of poor performance in the Felixto milling area. The five top ranked driver factors were drought, low yield, foreign material in cane, a reduction in mill throughput and low percentage of sucrose in cane. One hundred and forty eight factors were identified as possible indicators of poor p
milling area. The top ten ranked indicator factors were cutter productivity, cane quality, reliability of cane supply, non
excess/depletion at end of season, cane supply a
four factors were identified as the possible root causes of poor performance in the Felixton milling area. Rain, poor knowledge, wind, more alternative products and cane shortage were the five top ranked possible root causes of poor performance in the Felixton milling area.
7.8.3 The Komati milling a
Sixty eight factors were perceived by the stakeholders to negatively affect the performance of the Komati sugarcane milling area. The factors fell under eight thematic areas. Figure
a graphic representation of the percentage of factors that fell un seven percent of the factors fell under three thematic areas;
cane to mills, (b) cane production and harvesting and (c) cane milling.
Cane production and harvesting Cane milling
Cane quality Labour
96
Thematic areas of the factors that negatively affect the performance of the Felixton sugarcane milling area.
Twenty eight factors were identified as the drivers of poor performance in the Felixto milling area. The five top ranked driver factors were drought, low yield, foreign material in cane, a reduction in mill throughput and low percentage of sucrose in cane. One hundred and forty eight factors were identified as possible indicators of poor performance in the Felixton ranked indicator factors were cutter productivity, cane quality, non-sucrose percentage in cane, LOMS, sucrose % in cane, cane excess/depletion at end of season, cane supply area shrinkage, income and viscosity
four factors were identified as the possible root causes of poor performance in the Felixton milling area. Rain, poor knowledge, wind, more alternative products and cane shortage were
root causes of poor performance in the Felixton milling area.
area results
Sixty eight factors were perceived by the stakeholders to negatively affect the performance of the Komati sugarcane milling area. The factors fell under eight thematic areas. Figure
a graphic representation of the percentage of factors that fell under the thematic areas. Sixty seven percent of the factors fell under three thematic areas; viz. (a) transport and supply of cane to mills, (b) cane production and harvesting and (c) cane milling.
Cane production and harvesting Cane transport and supply
Cane milling Environment
Cane quality Economics
Cross cutting
Thematic areas of the factors that negatively affect the performance of the
Twenty eight factors were identified as the drivers of poor performance in the Felixton milling area. The five top ranked driver factors were drought, low yield, foreign material in cane, a reduction in mill throughput and low percentage of sucrose in cane. One hundred and erformance in the Felixton ranked indicator factors were cutter productivity, cane quality, , LOMS, sucrose % in cane, cane rea shrinkage, income and viscosity. Ninety four factors were identified as the possible root causes of poor performance in the Felixton milling area. Rain, poor knowledge, wind, more alternative products and cane shortage were
root causes of poor performance in the Felixton milling area.
Sixty eight factors were perceived by the stakeholders to negatively affect the performance of the Komati sugarcane milling area. The factors fell under eight thematic areas. Figure 7.15 is der the thematic areas. Sixty . (a) transport and supply of
Figure 7.15 Thematic areas of
Eighteen factors were identified as the drivers of poor performance in the Komati milling area. The five top ranked driver factors were rain, high percentage of sili
percentage of fibre in cane, a large number of cane hauling trucks and evaporator scaling. One hundred and fifty factors were identified as possible indicators of poor performance in the Komati milling area. The top
BHTCD, crystallisation efficiency, LOMS, mill crush rate, extraction efficiency, cane lodging, burn efficiency, percentage of ash in cane and evaporator scaling
were identified as the possible root
Rain, aged equipment, more alternative products
five to ranked possible root causes of poor performance in the Komati milling area.
7.8.4 The Umfolozi milling
One hundred and nineteen factors were perceived by the stakeholders to negatively affect the performance of the Umfolozi sugarcane milling area. The factors fell under eight thematic areas. Figure 7.16 is a graphic representation of the p
thematic areas. About Sixty eight percent of the factors fell under three thematic areas;
transport and supply of cane to mills, (b) cane production and harvesting and (c) cane milling.
Cane production and harvesting Cane milling
Cane quality Labour
97
Thematic areas of the factors that negatively affect the performance of the Komati sugarcane milling area.
Eighteen factors were identified as the drivers of poor performance in the Komati milling area. The five top ranked driver factors were rain, high percentage of sili
percentage of fibre in cane, a large number of cane hauling trucks and evaporator scaling. One factors were identified as possible indicators of poor performance in the Komati milling area. The top ten ranked indicator factors were deviation from allocation, BHTCD, crystallisation efficiency, LOMS, mill crush rate, extraction efficiency, cane lodging, burn efficiency, percentage of ash in cane and evaporator scaling. Ninety four factors were identified as the possible root causes of poor performance in the Komati milling area.
, more alternative products, in-field loading of cane and wind five to ranked possible root causes of poor performance in the Komati milling area.
ing area results
One hundred and nineteen factors were perceived by the stakeholders to negatively affect the performance of the Umfolozi sugarcane milling area. The factors fell under eight thematic is a graphic representation of the percentage of factors that fell under the thematic areas. About Sixty eight percent of the factors fell under three thematic areas;
transport and supply of cane to mills, (b) cane production and harvesting and (c) cane milling.
Cane production and harvesting Cane transport and supply
Cane milling Environment
Cane quality Economics
Cross cutting
the factors that negatively affect the performance of the Komati
Eighteen factors were identified as the drivers of poor performance in the Komati milling area. The five top ranked driver factors were rain, high percentage of silica in cane, high percentage of fibre in cane, a large number of cane hauling trucks and evaporator scaling. One factors were identified as possible indicators of poor performance in the deviation from allocation, BHTCD, crystallisation efficiency, LOMS, mill crush rate, extraction efficiency, cane . Ninety four factors causes of poor performance in the Komati milling area.
field loading of cane and wind were the five to ranked possible root causes of poor performance in the Komati milling area.
One hundred and nineteen factors were perceived by the stakeholders to negatively affect the performance of the Umfolozi sugarcane milling area. The factors fell under eight thematic ercentage of factors that fell under the thematic areas. About Sixty eight percent of the factors fell under three thematic areas; viz. (a) transport and supply of cane to mills, (b) cane production and harvesting and (c) cane milling.
Figure 7.16 Thematic areas of the factors that negatively affect the performance of the
Fifty four factors were identified as the drivers of poor performance in the Umfolozi milling area. The five top ranked driver factors were high soil content in cane, aged equipment, lodging of cane, high silica content in cane and more scaling of heaters.
sixty three factors were identified as possible indicators of poor performance in the Umfolozi milling area. The ten top ranked indicator factors were operating costs, deviation from allocation, coal utilisation, cutter productivity
requirements, cane deterioration, mill throughput, percentage of ash in bagasse and permeability. Ninety six factors were identified as the possible root causes of poor performance in the Umfolozi milling area. Rain,
and poor knowledge were the five top ranked possible root causes of poor performance in the Umfolozi milling area.