Literature Review on AI technology in Supply Chain

AI technology in supply chain

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Literature review may include but not limited to: Explore the different factors that hinder or promote the adoption of robotics and AI in the 3PL. Examine the implications of AI and robotics adoption for third-party logistics providers Discuss and explore the concept of supply chain integration. A review and analyses of supply chain operations reference (SCOR) model and how it can be used to measure third party logistics supply chain performance.

Performance metrics includes reliability, responsiveness, flexibility, cost and asset management. Each chapter should address a specific theoretical objective that have been established in the introduction. General requirement: Identify elements regarding objectives. Go into an in-depth analysis of a research subject.? Elaborate on a practical problem. Establish to what extent existing research has advanced. Link theoretical constructs with practical ideas and advice. Formulate statements or a general conceptualization. Clarify relations, contradictions, gaps, and inconsistencies.? Research outline and Introduction chapter were uploaded at additional materials. Number of sources may ranged between 30-40.

Use credible sources of information such as peer-reviewed journals, conference proceedings, or books. To focus more on a critical stance. Analyse and then ‘synthesise’ the findings to develop the ideas in response to it and in reference to question that has to be addressed. Critical thinking is key.’

It is also necessary to reference to all text, books and journals used. In order to demonstrate and distinguish the contribution of other researchers in this work and to support and/or develop claims made in the text. All new information should be followed by in-text citations and vice versa. If you place in-text citations without adding new content, then it is considered cheating.

AI technology in supply chain

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