Literature Review for Research Paper: AI Manufacturing

AI Manufacturing
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Introduction
Artificial intelligence is tipped to have a massive influence on marketing strategies and customer behaviors in the future. At the moment, AI has ceased to be the only hype as more managers and institutions are implementing it in the supply chain. Manufacturers use the supply chain to manage goods, information, money, and interaction with the consumer. The AI comes into play due to machines and systems' ability to display some aspects of human intelligence. Therefore, it is easier to automate business processes that allow AI algorithms to perform well-defined tasks requiring little to no human intervention. These tasks can range from recordkeeping, sorting out emails, managing language in systems, and implementing simple economic transactions. Consequently, AI implementation ranges from power shifts, reassignment of decision-making responsibilities, enhancing effectiveness, downsizing, and cost reduction. This essay is a literature review that seeks to analyze the impacts on profitability to organizations that use AI compared to those that don't.
Technology trends have provided evidence that the convenience of all processes can be achieved with enough innovation. AI's use in project management is basically to help integrated systems perform tasks without human input. The consensus is that AI delivers higher quality and efficient outcomes than human experts (Anderson & Raine, 2018). It is, therefore, safe to assume that AI and machine learning are going to replace humans. While this is a complicated topic, the benefits brought forth by AI cannot be underestimated. For instance, AI is very efficient in improving the supply chain related to efficiencies in customer services. Customer interaction is always at the forefront of a manufacturing organization's strategy; therefore, AI's effectiveness helps satisfy the company while also saving money CITATION Pet93 \l 1033 (Duchessi, O'Keefe, & O'Leary, 1993).
Organizations that use AI achieve the benefits of reducing inventory, labor, and time, resulting in productivity over time (Toorajipour et al., 2021). For effective processes, large manufacturing firms rely heavily on the accurate distribution of information and data. Transfer of data is critical to the manufacturing process as it allows the supply chain to continue. For instance, organizations like the automobile company are original manufacturing industries. Therefore, to make products for the end consumer, information needs to be effectively transferred within the company and other organizations along the supply chain. The AI is responsible for informing the supplier of how many cars are in production and what order; consequently, the supplier delivers the exact number of parts needed to complete it. Much of this process is data-driven; therefore, AI helps manage to track the inventory, a process that can be overwhelming for humans to do. Consequently, the AI helps in time management by improving efficiency and quickly spotting deficiencies in the production process.
Theories
AI in itself is complicated due to its ability to reason and act like humans. Therefore, with each distinctive feature, AI can be classified into various sub-f...