Exploring Requisite Competency Profiles for an
Automated Cement Factory: A Study of Selected
Robolab Cement Factories in South Africa Cover Image

Exploring Requisite Competency Profiles for an Automated Cement Factory: A Study of Selected Robolab Cement Factories in South Africa
Exploring Requisite Competency Profiles for an Automated Cement Factory: A Study of Selected Robolab Cement Factories in South Africa

Author(s): Annah Manganye, Ifeanyi Mbukanma
Subject(s): Micro-Economics
Published by: Editura Universitară Danubius
Keywords: Competency Profile; Robolab System; Cement factory; South Africa

Summary/Abstract: Objective: The objective of this study was to explore the requisite competencies that are required for optimal operation of the Robolab system to maximize cement product and minimize human errors. Approach: To achieve this objective, a qualitative research method was employed, which provided an ample approaches that help in addressing the research objective of this study. Data was collected from Robolab operators as well as employers of selected cement production factories in South Africa. Thematic method of data analysis was employed to analyse the qualitative data that was gathered through interview questions. Result: The findings of the study revealed that requisite competencies such as technical, behavioural, professional, innovative and creative competencies are key for optimal operation of Robolab system in a cement production factory. Implication: Competency challenges and difficulties exist in the operation of Robolab system as technological innovations in the cement manufacturing industries has grown in recent time from the conventional methods (where manual skills were majorly used) to an automated Robolab system. Recommendation: It was recommended that stakeholder within the Robolab cement production factories in South Africa should employ the Integrated Robolab Competency-Profiling Model, which advocates for competency literacy among the employers and users of Robolab system.

  • Issue Year: 17/2021
  • Issue No: 1
  • Page Range: 124-145
  • Page Count: 22
  • Language: English