A DECISION-MAKING FRAMEWORK FOR IMPLEMENTING DIGITALISATION IN THE SOUTH AFRICAN TOOLING INDUSTRY

Authors

  • Mncedisi Trinity Dewa Department of Industrial Engineering, Stellenbosch University, South Africa
  • Andre Francois Van der Merwe Department of Industrial Engineering, Stellenbosch University, South Africa
  • Stephen Matope Department of Industrial Engineering, Stellenbosch University, South Africa

DOI:

https://doi.org/10.7166/29-4-1903

Keywords:

Digitalisation, knowledge engineering, decision making

Abstract

In this paper, a decision-making framework for implementing the concept of digitalisation within the South African tool, die, and mould-making (TDM) industry context is developed and employed. The purpose of this framework is to answer the following question: “Which digital technologies currently available on the market can be employed to improve the efficiency of shop-floor operations in the South African TDM industry?” An exhaustive literature study of existing digital technologies is conducted. Thereafter, TDM processes requiring digitalisation are identified through knowledge engineering. Based on the system requirements analysis, digital technologies relevant to the South African TDM context are then proposed.

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Author Biographies

Mncedisi Trinity Dewa, Department of Industrial Engineering, Stellenbosch University, South Africa

Author was enrolled for a PhD in the Department of Industrial Engineering, Stellenbosch University, South Africa

Andre Francois Van der Merwe, Department of Industrial Engineering, Stellenbosch University, South Africa

Industrial Engineering Professor

Stephen Matope, Department of Industrial Engineering, Stellenbosch University, South Africa

Industrial Engineering Senior Lecturer

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Published

2018-12-10

How to Cite

Dewa, M. T., Van der Merwe, A. F., & Matope, S. (2018). A DECISION-MAKING FRAMEWORK FOR IMPLEMENTING DIGITALISATION IN THE SOUTH AFRICAN TOOLING INDUSTRY. The South African Journal of Industrial Engineering, 29(4), 245–262. https://doi.org/10.7166/29-4-1903

Issue

Vol. 29 No. 4 (2018)

Section

Case Studies

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