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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Main Author:	Prabhu Veluru, Ram
Format:	Theses
Language:	Indonesia
Online Access:	https://digilib.itb.ac.id/gdl/view/74451
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Institution:	Institut Teknologi Bandung
Language:	Indonesia

id	id-itb.:74451
spelling	id-itb.:744512023-07-14T11:48:29ZARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN SUPPLY CHAIN DECISION-MAKING IN AN ORGANISATION Prabhu Veluru, Ram Indonesia Theses Artificial intelligence, Machine learning, Supply chain management, Decision making, Predictive analytics, Automation, Collaboration, Soft System Methodology. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/74451 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. text
institution	Institut Teknologi Bandung
building	Institut Teknologi Bandung Library
continent	Asia
country	Indonesia Indonesia
content_provider	Institut Teknologi Bandung
collection	Digital ITB
language	Indonesia
description	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.
format	Theses
author	Prabhu Veluru, Ram
spellingShingle	Prabhu Veluru, Ram ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN SUPPLY CHAIN DECISION-MAKING IN AN ORGANISATION
author_facet	Prabhu Veluru, Ram
author_sort	Prabhu Veluru, Ram
title	ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN SUPPLY CHAIN DECISION-MAKING IN AN ORGANISATION
title_short	ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN SUPPLY CHAIN DECISION-MAKING IN AN ORGANISATION
title_full	ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN SUPPLY CHAIN DECISION-MAKING IN AN ORGANISATION
title_fullStr	ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN SUPPLY CHAIN DECISION-MAKING IN AN ORGANISATION
title_full_unstemmed	ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN SUPPLY CHAIN DECISION-MAKING IN AN ORGANISATION
title_sort	artificial intelligence and machine learning in supply chain decision-making in an organisation
url	https://digilib.itb.ac.id/gdl/view/74451
_version_	1822279899785723904

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN SUPPLY CHAIN DECISION-MAKING IN AN ORGANISATION

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