Answer To: Do not circulate without the approval of Unit Coordinator. These are not the formal requirements but...
Kuldeep answered on Sep 23 2020
Running head: Artificial Intelligence
Artificial Intelligence
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Executive Summary
The report provides recommendations to logistics organizations, biggest logistics organization with more than 200 workers, establish about twenty years ago. The logistics organization is headquartered in Sydney, but it operates in a number of countries in Australia's states and Oceania. The organization provided end-to-end logistic solutions for a wide range of businesses including manufacturing, warehousing as well as mining. Some logistics organizations are expanding their customers and they want to offer AI-based logistics solutions.
The report includes the types of technologies and applications that can be used to serve logistics organization. With the latest developments in this area related to logistics-based solutions, three AI-based application organizations can be used to expand their logistics business over the next five years, and this report also discusses the potential advantages and disadvantages of the application.
Contents
1.0 Introduction 3
1.1 Organizational Context 3
1.2 Purpose and objectives 3
1.3 Methodology 3
1.4 Report Outline 4
2.0 Key terminology 4
3. Three AI based applications 6
3.1 Chatbots for Operational Procurement 6
3.2 Self-Driving Vehicles 7
3.3 Machine Learning for Warehouse Management 7
4.0 Advantages and Disadvantages 8
4.1 Advantages 8
4.2 Disadvantages 9
5. Risk Analysis 10
Ethical, social and legal 10
6. Conclusion 11
7. Recommendations 12
References 14
1.0 Introduction
1.1 Organizational Context
Agility Logistics has more than 2000 employees and was founded about 20 years ago. Agility Logistics is headquartered in Sydney; however it operates in several Australian states and in some countries in the Oceania region. Agility Logistics provide end-to-end logistic solution for a wide range of organizations including manufacturing, mining and warehousing.
1.2 Purpose and objectives
The main objective of this report is to study the kinds of technologies and applications that may be used to service Agility Logistics customers in manufacturing, warehousing moreover mining industries. On the other hand, the report includes ethical restrictions on the use of AI, which can also be observed using AI (Aalaei & Davoudpour, 2016). The main purpose of this report is to properly investigate the current use of the Artificial Intelligence (AI) in logistic operations to serve the transportation, warehousing, manufacturing and mining industries. The ethics and specific applications of artificial intelligence are considered a priority for this discussion.
1.3 Methodology
Information about AI is primarily from journal articles, peer reviewed articles, and AI industry related publications will be used to prepare this report.
1.4 Report Outline
The report will include definitions of artificial intelligence and the latest development in field related to logistic-base solutions. This survey will also include five different kinds of application using AI. This report will investigate samples from several industries in Australia moreover the rest of world (Guillaume, Marques, Thierry & Dubois, 2014). In particular, investigate the present use of AI in the logistics operation that serve the transportation, warehousing and mining companies. The study will also include examples from other industries, and this report will also identify examples of actual use in the current market.
2.0 Key terminology
AI (Artificial Intelligence) is a simulation of HIP by machine, especially through computer system. Specialized applications for AI included expert systems and machine vision. AI can be classified into different ways (Gunasekaran & Ngai, 2014). Strong artificial intelligence, also known as artificial intelligence (AI), is a AI system that has a huge range of the human cognitive capabilities, so when an unfamiliar task is proposed, he has enough intelligence to find solutions.
AI in logistics DHL and IBM Australia: DHL and IBM are linked in a report to measure the future of artificial intelligence (AI) in logistics. Cooperative research, artificial intelligence logistics, forecasting transportation and logistics, as a late start, will find its IA path in the consumer, corporate, retail, mobile and manufacturing sectors, where "technical, commercial and social conditions have never been so beneficial Widely used and adopted (Herold & Lee, 2017). "Artificial intelligence provides logistics companies with the ability to optimize network coordination, making it impossible to achieve efficiency through human thinking." Artificial intelligence can help the logistics industry redefine today's behaviors and practices, from passive to active, from predictive to predictive planning. From manual to autonomous processes, from standardization to personalized service (Karlsson, Schaeffer & Winbo, 2015).
AI in Automation industry: The intelligent automation system runs using these three artificial intelligence components. They can be combined or used individually to create a fully automated solution, as needed: artificial intelligence in automation can help achieve a wide range of functions (Luukka, 2011). From autonomous vehicles to drones, everyone is using intelligent automation. Automation can make the task of brand management a breeze. Marketers are constantly trying to understand what consumers think of their brands. Through automation, they can automatically analyze all content on the Internet on a regular basis and identify key issues (Ma & Wang, 2013).
AI in mining industries: Artificial intelligence as well as machine learning is revolutionizing the mining business. Machine learning are an evolving field of diversified artificial intelligence that studies algorithm that automatically learn data or make predictions based on the data. Every week there is the new advances, new technologies, new opportunities moreover new applications. It is inspiring, but it is also overwhelming. Log surface is automatically identified using log data (self-generating and resistivity logging) (Mortazavi, Arshadi Khamseh & Azimi, 2015).
AI in warehousing: Who can imagine a warehouse, staff can only sleep for five minutes per hour? No lunch breaks, no shift patterns? This is true by using AI in the warehouse. Robots like Amazon's Kiva robot can pick up the goods in a matter of minutes and distribute them to different stations with warehouses, which takes only 5 minutes per hour. A smart warehouse using artificial intelligence will be able to use the funds previously used for inventory expenses for business growth opportunities that increase productivity. Although 30% of jobs are likely to be automated, employees are not expected to be completely replaced by robots. Automation will be integrated into the current operations to serve as an aid; something that works with workers and helps with daily tasks (Oflac, Dobrucalı, Yavas & Escobar, 2015).
Artificial Intelligence in Supply Chain Management: Founded in 2003, LLamasoft is located in Ann Arbor, Michigan and...