E-Manufacturing Model Using Crowdsourcing Technologies for Production Efficiency in Railway Transport Manufacturing Companies in South Africa

Genevieve Bakam, Khumbulani Mpofu, Charles Mbohwa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Advanced manufacturing practices require smarter technologies such as crowdsourcing to enhance continuous production improvement. It happens that crowdfunding is more popular in South Africa compared to crowdsourcing especially in the manufacturing field due to the lack of technical expertise in engineering fields. Also, previous literature focused on smart factories and smart road transportation systems using industrial 4.0 initiatives without shedding light on the application of crowdsourcing and crowdsensing in railway manufacturing industries. This paper proposed a model for the e-manufacturing of trains using crowdsourcing technologies for production efficiency in railway transport manufacturing companies in South Africa. A systematic analysis based on synthetised literature and empirical evidence was employed to compile factors enabling crowdsourcing initiatives and to design a transformative crowdsourcing manufacturing (TCM) model. Findings showed that a well-defined manufacturing process, network collaborators, crowdsourcing platforms, crowdsourcing forms, systems communication and participation are core factors enabling crowdsourcing execution regarding well-designed trains and railway innovations in railway transportation systems. Despite the lack of public data sharing, cyberattacks, a less digitalized country and an uneducated crowd in South Africa, the proposed TCM model revealed that crowdsourcing is a problem-solving and decision-making tool that promotes productivity, efficient trains, effective booking and payment systems leading to passenger satisfaction, inclusive growth and sustainability. However, the South African government should define a conducive regulatory system and compatible network communication infrastructures that enable the deployment of crowdsourcing ingenuities to revitalise the railway transport system.

Original languageEnglish
Title of host publicationFlexible Automation and Intelligent Manufacturing
Subtitle of host publicationManufacturing Innovation and Preparedness for the Changing World Order - Proceedings of FAIM 2024
EditorsYi-Chi Wang, Siu Hang Chan, Zih-Huei Wang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages341-348
Number of pages8
ISBN (Print)9783031744815
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event33rd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2024 - Taichung, Taiwan, Province of China
Duration: 23 Jun 202426 Jun 2024

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

Conference33rd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2024
Country/TerritoryTaiwan, Province of China
CityTaichung
Period23/06/2426/06/24

Keywords

  • Crowdsourcing
  • E-manufacturing
  • production efficiency
  • transport system and South Africa

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes

Fingerprint

Dive into the research topics of 'E-Manufacturing Model Using Crowdsourcing Technologies for Production Efficiency in Railway Transport Manufacturing Companies in South Africa'. Together they form a unique fingerprint.

Cite this