Original Research

Demand planning approaches employed by clothing industry stakeholders in Gauteng, South Africa

Ntombizodwa J. Matsoma, Intaher M. Ambe
Journal of Transport and Supply Chain Management | Vol 11 | a321 | DOI: https://doi.org/10.4102/jtscm.v11i0.321 | © 2017 Ntombizodwa J. Matsoma, Intaher M. Ambe | This work is licensed under CC Attribution 4.0
Submitted: 07 June 2017 | Published: 31 October 2017

About the author(s)

Ntombizodwa J. Matsoma, Department of Entrepreneurship, Supply Chain, Transport, Tourism and Logistics Management, University of South Africa, South Africa
Intaher M. Ambe, Department of Entrepreneurship, Supply Chain, Transport, Tourism and Logistics Management, University of South Africa, South Africa


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Abstract

Background: The decline in the productivity of the South African clothing industry was attributed to changing trends in the number of clothing production organisations, which together with a decline in manufacturing output and a fluctuation in employment had all contributed to complexities in demand planning.

Purpose: This article investigates demand planning approaches in the clothing industry in Gauteng.

Method: A descriptive study was conducted based on a structured questionnaire.

Findings: The results revealed that both hierarchical and optimal approaches should be considered in clothing manufacturing.

Managerial implications: In order to improve demand planning practices in the clothing industry, managers are recommended to apply hierarchical and optimal demand planning approaches, which might bring about improvements to demand planning in the Gauteng clothing industry.

Conclusion: It is recommended that clothing manufacturers consider the types of product offering before making decisions about adopting the hierarchical or optimal demand planning approaches. When planning for basic clothes, manufacturers should consider a hierarchical demand planning approach, whereas the optimal demand planning approach is recommended for fashion clothes.


Keywords

demand planning; demand planning approaches; manufacturer; fabric suppliers; fashion designers; clothing industry; Gauteng; South Africa

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