Abstract
Formulating localisation strategies is crucial to ensuring the development of local suppliers, which in turn results in job creation, increased export earnings, and local and national economic growth. The aim of this article is to present a generic decision support system (DSS) to guide localisation decision-making. Multi-criteria decision analysis (MCDA) is used to develop the model, which is then applied to a biometric identity management system (BIMS) case study that places the study within the context of the tool, die and mould-making (TDM) industry of South Africa.
Highlights
AND PROBLEM STATEMENTGlobalisation and the rise of the multinational enterprise have driven rapid advances in technology, and created pressure on new market entrants and the possibilities of accessing new markets [1]
5.1 Framework and tool validation The localisation decision support framework was presented at a workshop session at the Global Conference of Sustainable Manufacturing 2016
The survey featured questions referring to each step of the decision support system (DSS) framework and their importance when making localisation decisions
Summary
Globalisation and the rise of the multinational enterprise have driven rapid advances in technology, and created pressure on new market entrants and the possibilities of accessing new markets [1]. This in turn has sparked the policy drive to focus on the development of local industries and value chains [2][3]. Given its important place in driving growth, informed localisation strategy development and decision-making are critical to ensuring success This makes it important to understand the drivers behind a firm’s localisation investments, and the influence of those decisions on a geographical location [5]
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