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Dr Carel Bezuidenhout staff profile picture

Contact details +6469516260

Dr Carel Bezuidenhout PhD

Senior Lecturer in Supply Chain Management

Doctoral Supervisor
School of Food and Advanced Technology

Carel has expertise in agricultural supply chain management, logistics and transport. He has strong skills in analytics (including forecasting and modelling) and he works best in hands-on real-word problem solving. His current research focus is in perishable supply chain management, supply chain practitioner skills and competencies, and supply chain disruptions under disaster management situations. 

Professional

Qualifications

  • Doctor or Philosophy - University of Kwazulu-Natal (2005)

Certifications and Registrations

  • Licence, Supervisor, Massey University

Research Expertise

Research Interests

  • Supply chain practitioner skills and competencies
  • Supply chain management during natural disasters
  • Supply chain modelling and analytics

Thematics

Future Food Systems

Area of Expertise

Field of research codes
Applied Mathematics (010200): Applied Statistics (010401):
Business and Management (150300): Commerce, Management, Tourism And Services (150000):
Mathematical Sciences (010000): Operations Research (010206):
Rail Transportation and Freight Services (150702): Road Transportation and Freight Services (150703):
Statistics (010400): Stochastic Analysis and Modelling (010406):
Transportation and Freight Services (150700)

Research Outputs

Journal

Ishrat, SI., Grigg, NP., Bezuidenhout, CN., & Jayamaha, NP. (2020). Sustainability Issues in the Traditional Cashmere Supply Chain: Empirical Evidence from Kashmir, India. SUSTAINABILITY. 12(24)
[Journal article]Authored by: Bezuidenhout, C., Grigg, N., Jayamaha, N.
Ishrat, SI., Grigg, NP., Bezuidenhout, CN., & Jayamaha, NP. (2020). Sustainability issues in the traditional cashmere supply chain: Empirical evidence from Kashmir, India. Sustainability (Switzerland). 12(24), 1-25
[Journal article]Authored by: Bezuidenhout, C., Grigg, N., Jayamaha, N.
Shongwe, MI., & Bezuidenhout, CN. (2018). A heuristic for the selection of appropriate diagnostic tools in large-scale sugarcane supply systems. AIMS Agriculture and Food. 4(1), 1-26
[Journal article]Authored by: Bezuidenhout, C.
Sanjika, TM., & Bezuidenhout, CN. (2016). A primary influence vertex approach to identify driving factors in complex integrated agri-industrial systems – an example from sugarcane supply and processing systems. International Journal of Production Research. 54(15), 4506-4519
[Journal article]Authored by: Bezuidenhout, C.
Bezuidenhout, CN. (2016). Quantifying the degree of leanness and agility at any point within a supply chain. British Food Journal. 118(1), 60-69
[Journal article]Authored by: Bezuidenhout, C.
Jenkins, EPG., Bezuidenhout, CN., & Ortmann, GF. (2016). Modelling commercial sugarcane quality in the context of climate and mill scale supply chain logistics. International Sugar Journal. 118(1412)
[Journal article]Authored by: Bezuidenhout, C.
Sibomana, MS., Sobratee, N., Workneh, TS., & Bezuidenhout, CN. (2016). Post-harvest changes in sugarcane during harvest-to-crush delays in the Kwazulu-Natal Midlands. International Sugar Journal. 118(1410)
[Journal article]Authored by: Bezuidenhout, C.
Bezuidenhout, CN., & Langlois, P. (2015). Performance Evaluation Analyses of Commercial Sugarcane Mechanical Harvesting Contractor Operations. AMA-AGRICULTURAL MECHANIZATION IN ASIA AFRICA AND LATIN AMERICA. 46(3), 80-86
[Journal article]Authored by: Bezuidenhout, C.
Kadwa, M., & Bezuidenhout, CN. (2015). Modelling sugarcane supply consistency at a sugar mill. Computers and Electronics in Agriculture. 111, 107-111
[Journal article]Authored by: Bezuidenhout, C.
Sanjika, TM., & Bezuidenhout, CN. (2015). Driving factors-based approach for identifying performance indicators in sugarcane supply and processing systems. British Food Journal. 117(6), 1652-1669
[Journal article]Authored by: Bezuidenhout, C.
Sobratee, N., Sibomana, MS., Workneh, TS., & Bezuidenhout, CN. (2014). Internode-specific susceptibility of sugarcane to post-harvest changes during harvest-to-crush delay in the Kwa-Zulu Natal Midlands. Part I: Green whole stalk cane. SUGAR INDUSTRY-ZUCKERINDUSTRIE. 139(8), 508-513
[Journal article]Authored by: Bezuidenhout, C.
Kadwa, M., & Bezuidenhout, CN. (2013). A study of cane supply benefits associated with ad hoc mechanical harvesting to mitigate cutter absenteeism. SUGAR INDUSTRY-ZUCKERINDUSTRIE. 138(8), 532-538
[Journal article]Authored by: Bezuidenhout, C.
Bezuidenhout, CN., Kadwa, M., & Sibomana, MS. (2013). Using theme and domain networking approaches to understand complex agriindustrial systems: A demonstration from the south african sugar industry. Outlook on Agriculture. 42(1), 9-16
[Journal article]Authored by: Bezuidenhout, C.
Sibomana, MS., & Bezuidenhout, CN. (2013). Statistical evaluations of sugarcane quality, deterioration and the impacts of weekend logistics in a commercial sugarcane supply chain. Zuckerindustrie. 138(1), 30-35
[Journal article]Authored by: Bezuidenhout, C.
Boote, GLN., Bezuidenhout, CN., & Lyne, PN. (2013). Issues pertaining to cane supply reliability and stockpiling at the Umfolozi sugar mill - A model development and application. International Sugar Journal. 115(1371), 200-206
[Journal article]Authored by: Bezuidenhout, C.
Stray, BJ., van Vuuren, JH., & Bezuidenhout, CN. (2012). An optimisation-based seasonal sugarcane harvest scheduling decision support system for commercial growers in South Africa. Computers and Electronics in Agriculture. 83, 21-31
[Journal article]Authored by: Bezuidenhout, C.
Bezuidenhout, CN., Bodhanya, S., Sanjika, T., Sibomana, M., & Boote, GLN. (2012). Network-analysis approaches to deal with causal complexity in a supply network. International Journal of Production Research. 50(7), 1840-1849
[Journal article]Authored by: Bezuidenhout, C.
Bezuidenhout, CN., Bodhanya, S., & Brenchley, L. (2012). An analysis of collaboration in a sugarcane production and processing supply chain. British Food Journal. 114(6), 880-895
[Journal article]Authored by: Bezuidenhout, C.
Bezuidenhout, CN., & Moodley, S. (2012). Code of practice for loading whole-stick loose sugarcane with grab-loaders. Zuckerindustrie. 137(7), 454-457
[Journal article]Authored by: Bezuidenhout, C.
Bezuidenhout, CN., Antwerpen, RV., & Berry, SD. (2012). An application of principal component analyses and correlation graphs to assess multivariate soil health properties. Soil Science. 177(8), 498-505
[Journal article]Authored by: Bezuidenhout, C.
Bezuidenhout, CN., & Baier, TJA. (2011). An evaluation of the literature on integrated sugarcane production systems: A scientometrical approach. Outlook on Agriculture. 40(1), 79-88
[Journal article]Authored by: Bezuidenhout, C.
Harris, AJ., Bezuidenhout, CN., Lagrange, LF., & Lyne, PWL. (2010). Development of a sugarcane transport route planning application in a geographical information system. International Sugar Journal. 112(1335), 177-185
[Journal article]Authored by: Bezuidenhout, C.
Bezuidenhout, CN. (2010). Beneficial loading configurations to increase sugarcane haulage vehicle performance. International Sugar Journal. 112(1342), 569-573
[Journal article]Authored by: Bezuidenhout, C.
Le Gal, PY., Le Masson, J., Bezuidenhout, CN., & Lagrange, LF. (2009). Coupled modelling of sugarcane supply planning and logistics as a management tool. Computers and Electronics in Agriculture. 68(2), 168-177
[Journal article]Authored by: Bezuidenhout, C.
Stutterheim, P., Bezuidenhout, CN., & Lyne, PWL. (2009). A framework to simulate the sugarcane supply chain, from harvest to raw sugar. International Sugar Journal. 111(1324), 250-255
[Journal article]Authored by: Bezuidenhout, C.
Giles, RC., Bezuidenhout, CN., & Lyne, PWL. (2008). Evaluating the feasibility of a sugarcane vehicle delivery scheduling system - a theoretical study. INTERNATIONAL SUGAR JOURNAL. 110(1312), 242-247
[Journal article]Authored by: Bezuidenhout, C.
Bezuidenhout, CN., Goebel, R., Hull, PJ., Schulze, RE., & Maharaj, M. (2008). Assessing the potential threat of Chilo sacchariphagus (Lepidoptera: Crambidae) as a pest in South Africa and Swaziland: realistic scenarios based on climatic indices. African Entomology. 16(1), 86-90
[Journal article]Authored by: Bezuidenhout, C.
Bezuidenhout, CN., & Singels, A. (2007). Operational forecasting of South African sugarcane production: Part 1 - System description. Agricultural Systems. 92(1-3), 23-38
[Journal article]Authored by: Bezuidenhout, C.
Langton, MI., Smithers, JC., Bezuidenhout, CN., & Lyne, PWL. (2007). Evaluation of the Illovo mechanical cane cutter. International Sugar Journal. 109(1298), 118-120
[Journal article]Authored by: Bezuidenhout, C.
Bezuidenhout, CN., & Singels, A. (2007). Operational forecasting of South African sugarcane production: Part 2 - System evaluation. Agricultural Systems. 92(1-3), 39-51
[Journal article]Authored by: Bezuidenhout, C.
Bezuidenhout, CN., & Schulze, RE. (2006). Application of seasonal climate outlooks to forecast sugarcane production in South Africa. Climate Research. 30(3), 239-246
[Journal article]Authored by: Bezuidenhout, C.
Bezuidenhout, CN., Lecler, NL., Gers, C., & Lyne, PWL. (2006). Regional based estimates of water use for commercial sugar-cane in South Africa. Water SA. 32(2), 219-222
[Journal article]Authored by: Bezuidenhout, C.
Rivers-Moore, NA., Bezuidenhout, CN., & Jewitt, GPW. (2005). Modelling highly variable daily maximum water temperatures in a perennial South African river system. African Journal of Aquatic Science. 30(1), 55-63
[Journal article]Authored by: Bezuidenhout, C.
Johnston, PA., Archer, ERM., Vogel, CH., Bezuidenhout, CN., Tennant, WJ., & Kuschke, R. (2004). Review of seasonal forecasting in South Africa: Producer to end-user. Climate Research. 28(1), 67-82
[Journal article]Authored by: Bezuidenhout, C.
Singels, A., & Bezuidenhout, CN. (2004). Erratum: A new method of simulating dry matter partitioning in the Canegro sugarcane model (Field Crops Research (2002) 78 (151-164)). Field Crops Research. 86(1), 91
[Journal article]Authored by: Bezuidenhout, C.
Bezuidenhout, CN., Lusso, CD., Lyne, PWL., & Meyer, E. (2004). Minimising transport costs in two-phase sugarcane extraction systems through optimal upgrading of roads and translading zones. International Sugar Journal. 106(1269), 466-473
[Journal article]Authored by: Bezuidenhout, C.
Bezuidenhout, CN., O'Leary, GJ., Singels, A., & Bajic, VB. (2003). A process-based model to simulate changes in tiller density and light interception of sugarcane crops. Agricultural Systems. 76(2), 589-599
[Journal article]Authored by: Bezuidenhout, C.
Everingham, YL., Muchow, RC., Stone, RC., Inman-Bamber, NG., Singels, A., & Bezuidenhout, CN. (2002). Enhanced risk management and decision-making capability across the sugarcane industry value chain based on seasonal climate forecasts. Agricultural Systems. 74(3), 459-477
[Journal article]Authored by: Bezuidenhout, C.
Singels, A., & Bezuidenhout, CN. (2002). A new method of simulating dry matter partitioning in the Canegro sugarcane model. Field Crops Research. 78(2-3), 151-164
[Journal article]Authored by: Bezuidenhout, C.
Bezuidenhout, CN. (2002). Using the Nearest Neighbour method to substitute missing daily solar radiation data. South African Journal of Plant and Soil. 19(4), 195-200
[Journal article]Authored by: Bezuidenhout, C.
Singels, A., & Bezuidenhout, CN. (1999). The relationship between ENSO and rainfall and yield in the South African sugar industry. South African Journal of Plant and Soil. 16(2), 96-101
[Journal article]Authored by: Bezuidenhout, C.

Book

Bezuidenhout, C. (Ed.) (2020). A Scholarly Review of Supply Chain Integration within the New Zealand Blueberry Industry. Palmerston North: Massey University
[Edited Book]Edited by: Bezuidenhout, C.

Conference

Moodley, S., Bezuidenhout, CN., & Lyne, PWL.An investigation into sugarcane vehicle loading with respect to influences on overall transport efficiency. International Sugar Journal. 114 (1360)(pp. 242 - 247). 0020-8841.
[Conference]Authored by: Bezuidenhout, C.
Bezuidenhout, CN., Leibbrandt, NB., & Raja, A.The development of a computerized decision support tool for weed control in the South African sugar industry. PROCEEDINGS OF THE WORLD CONGRESS OF COMPUTERS IN AGRICULTURE AND NATURAL RESOURCES. (pp. 642 - 650).
[Conference]Authored by: Bezuidenhout, C.
Singels, A., Bezuidenhout, CN., ASSOC, SAST., & ASSOC, SAST.ENSO, the South African climate and sugarcane production. PROCEEDINGS OF THE SEVENTY-SECOND ANNUAL CONGRESS OF THE SOUTH AFRICAN SUGAR TECHNOLOGISTS' ASSOCIATION. (pp. 10 - 11).
[Conference]Authored by: Bezuidenhout, C.
Singels, A., Kennedy, AJ., Bezuidenhout, CN., ASSOC, SAST., & ASSOC, SAST.Irricane: A simple computerised irrigation scheduling method for sugarcane. PROCEEDINGS OF THE SEVENTY-SECOND ANNUAL CONGRESS OF THE SOUTH AFRICAN SUGAR TECHNOLOGISTS' ASSOCIATION. (pp. 117 - 122).
[Conference]Authored by: Bezuidenhout, C.
STOKER, PH., & BEZUIDENHOUT, CN.ENERGETIC PARTICLE-PRECIPITATION AT SANAE (L=4.0) DEDUCED FROM RIOMETER RECORDINGS OF LAST 20 YEARS. SOLAR-TERRESTRIAL ENERGY PROGRAM. (pp. 373 - 377).
[Conference]Authored by: Bezuidenhout, C.
STOKER, PH., HEYDENREICH, HEM., BEZUIDENHOUT, CN., & CALGARY, U.GROUNDLEVEL SOLAR FLARE PROTON EVENTS RECORDED BY THE SANAE NEUTRON MONITOR SINCE 1966. 23RD INTERNATIONAL COSMIC RAY CONFERENCE, VOL 3. (pp. 43 - 46).
[Conference]Authored by: Bezuidenhout, C.

Teaching and Supervision

Courses Coordinated

Summary of Doctoral Supervision

Position Current Completed
Co-supervisor 2 0

Current Doctoral Supervision

Co-supervisor of:

  • Frank Theunissen - Doctor of Philosophy
    The application of multicriteria decision making methods to inventory classification problems
  • Imran Ishrat - Doctor of Philosophy
    Effect of Industry Changes on Quality and Sustainability in the Luxury Apparel Value Chains: The Case of Cashmere Industry in India

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