Itech1100 The Demand Of Food Assessment Answers

Answer:

The industry of food is changing with the effect of robotics. The demand of food rises continuously with increase in the population by 7.5 billion. The industrial robot revolutionize across the globe and allow the increase in productivity. The fast food industry generates globally $570 billion along with the growth rate. Robots are capable to handle smart material and work side-by-side with the humans. In many restaurant food is being prepared by human robots. The technology allows human thoughts to manipulate computer and machinery (Shiomi et al, 2017).

 They checks guest into the rooms, carry the luggage, turned to automation. Today robots makes lot of sense to industry where it is hard to find employees. Robots would take over works that are dirty, dull and dangerous and enable humans to focus on other tasks. The capabilities would be further enhance by Automation. Once robots get into the kitchen, the human employees will become free and can easily interact with the customers.

Customers when ordering a coffee or need to check into a hotel, they need to contact with other human being. The portfolio had pursued certain assessment that has identify the potential impact of Robotics in the Fast Food industry. Usually, 70 % of the human in the job need money and work for limited hours, however for a robot it takes 24 hours a day were it does not need any vacation. Thus, it is most cost efficient to use a robot in the food industry. The section below will demonstrate it.

2. Brainstorming

            The Robotic technology for the Fast Food Industry could be change or disrupted in three different ways.

1. Impact of Robotics Technology on the people in the Food Industry: Over the next thirty years the human race is affected by robotics as it is blurring the boundaries between robotics, biology, artificial intelligence and smart materials (Chen, Lin & Tseng, 2018). For robot there is no need to be humanoid or have limbs to walk or talk. Robot can monitor and repair natural environment to track nano robots and kill cancer and lead to planetary colonization to the companions of robot that would be helpful for the old age people.

Any particular task could be perform, manipulates through the power supply, contains sensors and control systems and the knowledge and time offered by the people. The people has the capability of doing multitasking but not as fast as a Robot does. At the same time, the robot could work side by side with human.

1. Impact of the Robotics Technologies on Labor Market: With the evolution of the technology the labor market will respond. Technology has played a wide role in the economic growth with the number of jobs. The data had explore to across 28 different industries of 17 countries were 71 economic recoveries occurred. As the number crunched, there is no real difference for joblessness recovery where the industries are prone to automation (Li et al., 2018). As opposed by the AI, the industries have introduce industrial robots over the timeframe. The employment level is indeed low were each robot is equating to six human employees.
2. Combined impact of other technology with the chosen technology: In this case, apart from Robotics, Automation is chosen were necessary changes could be made (DeCanio, 2016). It will enable the process of development of food for the industry of fast food through which the user receive the order. This process help save time and effort that the human make and have resources and high food quality.

Regulation and Ethics

            The impact of Robotics on the Fast Food Industry follows the Lawrence Lessig’s regulations for the Market, Law, Architecture and Ethical.

1. Markets: In the food and beverage industry, the robotics market will experience around 29 % annual growth rate from 2015 till 2019 (Bissell & Del Casino, 2017). The drivers cited by the research firm that has demand for clean and contamination-free production areas. The market forecasts that by 2022 the robotics market worth $2.5 billion.
2. Law: The impact of Robot in the workplace has reach to an incredible fast changing phase. The legal profession will transform rapidly with the beginning of the 21^st Century (Sharp, 2018).

• Norms: The technology has progress in the social robots that were designed to work alongside and interact on the social level with the human (Fleming, 2018). Service Robot is more specific than the social robots. The social robots have challenging and exciting frontier.

1. Architecture: Robotic Fabricate the architecture, art and design that inclined to robotic arms and has an automated mechanisms that are programmable (Ali et al., 2017). The process of robotic is more proficient as it reduce the construction time and cost.

Before the use of Robot:

            Events: Customer visiting to the restaurant, selecting a dining table, ordering for food

Activities or Tasks: Serve customer, Customer makes payment after having food

Decision points: selection of food item, Provide feedback, Review the feedback of the customer

Actors (people and/or objects): Customer, Chef

Outcomes: Wait for food to serve, Serving food to customer.

After the use of Robot:

Events: Customer visiting to the restaurant, selecting a dining table, ordering for food

Activities or Tasks: Serve customer, Customer makes payment after having food

Decision points: selection of food item, Provide feedback, Review the feedback of the customer

Actors (people and/or objects): Customer, Robot

Outcomes: Wait for food to serve, Serving food to customer, fast service.

Conclusion

From the activities and the event, it has concluded that the impact of Robot in the fast food industry have properly being simplified and this has brought a major changes in the fast food industry. Multiple task will be performed when the food industry started to use Robot and provide fast and best service to the customer which will improve the information management for the industry. Thus, it is justified to conclude that the impact of Robot in the fast food industry has prominent advantages and also provide a competitive advantages.     

References

Ali, F., Kwak, D., Khan, P., Ei-Sappagh, S. H. A., Islam, S. R., Park, D., & Kwak, K. S. (2017). Merged ontology and SVM-based information extraction and recommendation system for social robots. IEEE Access, 5, 12364-12379.

Bissell, D., & Del Casino, V. J. (2017). Whither labor geography and the rise of the robots?. Social & Cultural Geography, 18(3), 435-442.

Chen, B. T., Lin, A., & Tseng, B. (2018, June). The Application Of Automated, Point Of Sale System Customer Service Robots To Attract. In 8th Advances in Hospitality And Tourism Marketing And Management (Ahtmm) Conference (P. 812).

DeCanio, S. J. (2016). Robots and humans–complements or substitutes?. Journal of Macroeconomics, 49, 280-291.

Fleming, P. (2018). Robots and Organization Studies: Why Robots Might Not Want to Steal Your Job. Organization Studies, 0170840618765568.

Lessig, L. (2014). What an originalist would understand corruption to mean. Cal. L. Rev., 102, 1.

Li, X., Jia, W., Yang, Z., Li, Y., Yuan, D., Zhang, H., & Sun, M. (2018). Application of Intelligent Recommendation Techniques for Consumers’ Food Choices in Restaurants. Frontiers in psychiatry, 9, 415.

Sharp, B.S., 2018. Policy Implications of People Analytics and the Automated Workplace. In The Political Economy of Robots (pp. 61-80). Palgrave Macmillan, Cham.

Shiomi, M., Nakagawa, K., Shinozawa, K., Matsumura, R., Ishiguro, H., & Hagita, N. (2017). Does a robot’s touch encourage human effort? International Journal of Social Robotics, 9(1), 5-15.