Supply Chain Management Practices and Lean Production Improvement in Food and Beverage Industry.

Pais, Joy Lawrence (2020) Supply Chain Management Practices and Lean Production Improvement in Food and Beverage Industry. Masters thesis, Griffith College.

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Abstract

The paper is focused on the implementation of Artificial Intelligence in Lean Production and Supply Chain Management. Focusing primarily on the fact that there exists a gap between the expected performance from the companies while executing the production process and the actual performance given by them. To cover that gap the research is endeavouring to analyse the impact of implementation of Artificial Intelligence in Lean Production and Supply Chain. Artificial Intelligence can be the star to hitch the wagon of lean production to. With minimised wastage, abstainment from scrappage, minimised employee costs, adaptability to variation in the voluminous production, producing varied ranges of products the major hinderances and shortcoming of the production line get solved. Although some are still skeptical about the extend to whether they should implement AI into the core production lines. As uploading company data to the cloud makes the company vulnerable to cybercrimes, technical breakdowns can disrupt and halt the entire production line. The paper goes about the process by evaulating the option from the mindset of the executives who are responsible for the production and supply line. Qualitative approach is used for collecting data and narrative and disclosure approach is applied for analysis. Thematics is used for coding the data and assigning them with values to obtain desired result.

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