ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN SUPPLY CHAIN DECISION-MAKING IN AN ORGANISATION
The apparel industry is characterised by a complex and culturally diverse global supply chain that requires a high degree of collaboration and is complex with multiple perspectives. We will use Soft System Methodology (SSM) to tackle this complex and ill-structured problem that needs a clear-cut sol...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/74451 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The apparel industry is characterised by a complex and culturally diverse global supply chain that requires a high degree of collaboration and is complex with multiple perspectives. We will use Soft System Methodology (SSM) to tackle this complex and ill-structured problem that needs a clear-cut solution. The project will involve conducting extensive market research, analysing business intelligence reports, surveying employees, and conducting interviews with top management, clients and suppliers of Asmara's founding office in Indonesia. There is a potential to improve efficiency, reduce costs, and enhance the customer experience. This thesis aims to analyze the impact of Artificial Intelligence and Machine Learning on the apparel industry. The suggested course of action using SSM involves involving stakeholders actively in deciding on transformational measures and instilling a sense of ownership in the change process. |
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