Lean manufacturing challenges in a South African clothing company
- Chiromo, F., Nel, A., Sebele, T.O.
- Authors: Chiromo, F. , Nel, A. , Sebele, T.O.
- Date: 2015-06-08
- Subjects: Clothing trade - South Africa , Lean manufacturing - South Africa , Supply chain management
- Type: Article
- Identifier: uj:5109 , ISBN 978-1-77592-111-0 , http://hdl.handle.net/10210/13935
- Description: This is a case study that investigates factors that affect the implementation of lean supply chain concepts in a South African clothing manufacturing company, hereafter referred to as Company A. The company’s primary markets are public hospitals in Gauteng Province and it offers a wide range of hospital linen and apparel for hospital staff, patients and wards. The study was conducted at the premises of Company A and it analyses the extent to which production of defective parts, overproduction, excessive inventory, unnecessary production steps, unnecessary movement of people, workers waiting for material and unnecessary handling of material affect the attainment of lean supply chain. Areas covered by the study are segments of the production department; namely the storeroom, cutting room, garment construction, cleaning and despatch. The study also looks at the attempts made and challenges encountered by Company A in eliminating these wastes. The effects of these wastes are visible throughout the company from sourcing of raw materials to the delivery of finished products. They affect delivery lead times, product/service quality, cost and customer satisfaction. These findings have implications on the competitiveness of Company A. They help Company A to focus on establishing supply chain linkages that reduce the wastes. The study contributes by suggesting a model that a manufacturing entity should adopt to reduce the impact of the seven wastes.
- Full Text: false
- Authors: Chiromo, F. , Nel, A. , Sebele, T.O.
- Date: 2015-06-08
- Subjects: Clothing trade - South Africa , Lean manufacturing - South Africa , Supply chain management
- Type: Article
- Identifier: uj:5109 , ISBN 978-1-77592-111-0 , http://hdl.handle.net/10210/13935
- Description: This is a case study that investigates factors that affect the implementation of lean supply chain concepts in a South African clothing manufacturing company, hereafter referred to as Company A. The company’s primary markets are public hospitals in Gauteng Province and it offers a wide range of hospital linen and apparel for hospital staff, patients and wards. The study was conducted at the premises of Company A and it analyses the extent to which production of defective parts, overproduction, excessive inventory, unnecessary production steps, unnecessary movement of people, workers waiting for material and unnecessary handling of material affect the attainment of lean supply chain. Areas covered by the study are segments of the production department; namely the storeroom, cutting room, garment construction, cleaning and despatch. The study also looks at the attempts made and challenges encountered by Company A in eliminating these wastes. The effects of these wastes are visible throughout the company from sourcing of raw materials to the delivery of finished products. They affect delivery lead times, product/service quality, cost and customer satisfaction. These findings have implications on the competitiveness of Company A. They help Company A to focus on establishing supply chain linkages that reduce the wastes. The study contributes by suggesting a model that a manufacturing entity should adopt to reduce the impact of the seven wastes.
- Full Text: false
The use of bioassays to assess the toxicity of sediment in an acid mine drainage impacted river in Gauteng (South Africa)
- Singh, P., Nel, A., Durand, J. F.
- Authors: Singh, P. , Nel, A. , Durand, J. F.
- Date: 2017
- Subjects: Acid mine drainage , Sediment toxicity , Bioassay
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/251795 , uj:26232 , Citation: Singh, P., Nel, A. & Durand, J. F. 2017. The use of bioassays to assess the toxicity of sediment in an acid mine drainage impacted river in Gauteng (South Africa).
- Description: Abstract: Sediment contamination may occur from various anthropogenic activities, such as mining-, agricultural- and industrial practices. Many of the contaminants arising from these activities enter the aquatic system and precipitate from the surrounding water, becoming bound to sediment particles. These bound contaminants may reach concentrations higher than in the overlying water. Although water quality may be acceptable, an aquatic system may still be at risk if the contaminated sediment were to be disturbed through flooding, bioturbation or changes in the water chemistry. These contaminants may then desorb into the water column and prove detrimental to life forms in contact and dependent on that water source. Sediment quality monitoring has been a widespread international initiative and has led to the development of sediment toxicity assessment methods. This study focused on sediment bioassays, namely, Phytotoxkit, Ostracodtoxkit F and the Diptera bioassay, in assessing sediment quality of the Tweelopiespruit-Rietspruit-Bloubankspruit river system in Gauteng, South Africa. This river is known to have been impacted by acid mine drainage (AMD) since late August, 2002. Exposure of river sediment from 7 sampling sites to these bioassays provided an eco-toxicological estimation of the acute toxicity and chronic toxicity emanating from the contaminated sediments. Physico-chemical analyses revealed higher levels of sediment contamination closer to the mine. The bioassays displayed a similar trend with greater sensitivities to sediments closer to the mine and lower sensitivities to the less contaminated sites further downstream. AMD was therefore the main driver for sediment contamination. Whilst not all contaminants were bioavailable, statistical analysis showed that there were significant correlations between the elevated contaminant concentrations closer to the mine and bioassay responses.
- Full Text:
- Authors: Singh, P. , Nel, A. , Durand, J. F.
- Date: 2017
- Subjects: Acid mine drainage , Sediment toxicity , Bioassay
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/251795 , uj:26232 , Citation: Singh, P., Nel, A. & Durand, J. F. 2017. The use of bioassays to assess the toxicity of sediment in an acid mine drainage impacted river in Gauteng (South Africa).
- Description: Abstract: Sediment contamination may occur from various anthropogenic activities, such as mining-, agricultural- and industrial practices. Many of the contaminants arising from these activities enter the aquatic system and precipitate from the surrounding water, becoming bound to sediment particles. These bound contaminants may reach concentrations higher than in the overlying water. Although water quality may be acceptable, an aquatic system may still be at risk if the contaminated sediment were to be disturbed through flooding, bioturbation or changes in the water chemistry. These contaminants may then desorb into the water column and prove detrimental to life forms in contact and dependent on that water source. Sediment quality monitoring has been a widespread international initiative and has led to the development of sediment toxicity assessment methods. This study focused on sediment bioassays, namely, Phytotoxkit, Ostracodtoxkit F and the Diptera bioassay, in assessing sediment quality of the Tweelopiespruit-Rietspruit-Bloubankspruit river system in Gauteng, South Africa. This river is known to have been impacted by acid mine drainage (AMD) since late August, 2002. Exposure of river sediment from 7 sampling sites to these bioassays provided an eco-toxicological estimation of the acute toxicity and chronic toxicity emanating from the contaminated sediments. Physico-chemical analyses revealed higher levels of sediment contamination closer to the mine. The bioassays displayed a similar trend with greater sensitivities to sediments closer to the mine and lower sensitivities to the less contaminated sites further downstream. AMD was therefore the main driver for sediment contamination. Whilst not all contaminants were bioavailable, statistical analysis showed that there were significant correlations between the elevated contaminant concentrations closer to the mine and bioassay responses.
- Full Text:
Gaussian blur identification using scale-space theory
- Robinson, P., Roodt, Y., Nel, A.
- Authors: Robinson, P. , Roodt, Y. , Nel, A.
- Date: 2012
- Subjects: Gaussian blur , blur identification , blur detection , scale space
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/15988 , uj:15725 , Citation: P.E. Robinson, Y. Roodt and A. Nel, “Gaussian blur identification using scale-space theory”, Pattern Recognition Association of South Africa (PRASA), 2012
- Description: Abstract: Image deblurring algorithms generally assume that the nature of the blurring function that degraded an image is known before an image can be deblurred. In the case of most naturally captured images the strength of the blur present in the image is not known. This paper proposes a method to identify the standard deviation of a Gaussian blur that has been applied to a single image with no a priori information about the conditions under which the image was captured...
- Full Text:
- Authors: Robinson, P. , Roodt, Y. , Nel, A.
- Date: 2012
- Subjects: Gaussian blur , blur identification , blur detection , scale space
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/15988 , uj:15725 , Citation: P.E. Robinson, Y. Roodt and A. Nel, “Gaussian blur identification using scale-space theory”, Pattern Recognition Association of South Africa (PRASA), 2012
- Description: Abstract: Image deblurring algorithms generally assume that the nature of the blurring function that degraded an image is known before an image can be deblurred. In the case of most naturally captured images the strength of the blur present in the image is not known. This paper proposes a method to identify the standard deviation of a Gaussian blur that has been applied to a single image with no a priori information about the conditions under which the image was captured...
- Full Text:
Supplier selection process at a South African clothing company
- Chiromo, F., Nel, A., Binda, N.D.
- Authors: Chiromo, F. , Nel, A. , Binda, N.D.
- Date: 2015-06-08
- Subjects: Supplier selection , Clothing trade - South Africa
- Type: Article
- Identifier: uj:5110 , ISBN 978-1-77592-111-0 , http://hdl.handle.net/10210/13936
- Description: This is a case study that investigates a supplier selection process at a South African clothing manufacturing company, hereafter referred to as Brand Solutions. Brand Solutions is a supplier of a wide range of custom-made corporate clothing, headwear, promotional clothing, bags and luggage. The company has in-house knitting mill that makes fabric using mercerised, bamboo, polyester and 100% cotton yarn that is sourced locally and abroad. Brand Solutions also does branding through digital transfer printing, embroidery, digital ultra violet light printing, silkscreen printing and laser engraving. Data for this study was collected by a University of Johannesburg Industrial Engineering Student. The student had interviews with the procurement, production and quality assurance managers. She verified the answers given by the interviewees by taking informative tours of the production floor, warehouse and management offices of the plant. A review of company documents and relevant literature from journals was also done. The research revealed that on new suppliers, Brand Solutions selects them based on the quality, material shrinkage, colour fastness, grammage, cost, delivery lead time, and product mix flexibility. Once the suppliers pass this test, their performance is not reviewed again. These findings have implications on the performance and competitiveness of Brand Solutions. Moreover the findings have a bearing on Brand Solutions’ growth in employment, market share and revenue. Lastly, the study contributes by suggesting the supplier selection model that a clothing manufacturing entity should adopt in relation to the environment that it operates in.
- Full Text: false
- Authors: Chiromo, F. , Nel, A. , Binda, N.D.
- Date: 2015-06-08
- Subjects: Supplier selection , Clothing trade - South Africa
- Type: Article
- Identifier: uj:5110 , ISBN 978-1-77592-111-0 , http://hdl.handle.net/10210/13936
- Description: This is a case study that investigates a supplier selection process at a South African clothing manufacturing company, hereafter referred to as Brand Solutions. Brand Solutions is a supplier of a wide range of custom-made corporate clothing, headwear, promotional clothing, bags and luggage. The company has in-house knitting mill that makes fabric using mercerised, bamboo, polyester and 100% cotton yarn that is sourced locally and abroad. Brand Solutions also does branding through digital transfer printing, embroidery, digital ultra violet light printing, silkscreen printing and laser engraving. Data for this study was collected by a University of Johannesburg Industrial Engineering Student. The student had interviews with the procurement, production and quality assurance managers. She verified the answers given by the interviewees by taking informative tours of the production floor, warehouse and management offices of the plant. A review of company documents and relevant literature from journals was also done. The research revealed that on new suppliers, Brand Solutions selects them based on the quality, material shrinkage, colour fastness, grammage, cost, delivery lead time, and product mix flexibility. Once the suppliers pass this test, their performance is not reviewed again. These findings have implications on the performance and competitiveness of Brand Solutions. Moreover the findings have a bearing on Brand Solutions’ growth in employment, market share and revenue. Lastly, the study contributes by suggesting the supplier selection model that a clothing manufacturing entity should adopt in relation to the environment that it operates in.
- Full Text: false
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