Policymaking in the digital age
One of the policy developments that is highlighted in Chapter one is that which aims at taking advantage of the developments in the digital world, the new approaches, concepts, instruments, along with methods needed (Janssen, Wimmer, & Deljoo, 2015). This policy development can help in influencing policy to solve a specific problem in society. For instance, the new approach, concept, and methods, in this case, can take the form of automation and this can be adopted in the manufacturing sector. In this field of expertise, there are usually problems of lack of consistency. With the introduction of automation in the manufacturing process, there are increased chances of improving consistency in production.
Precisely, all the outputs in production will be similar when there is the use of automation in the manufacturing process. This is unlike when people are used in the manufacturing process, where there will be increased chances of having variations in quality and form. The rationale behind this claim is that people have different levels of expertise and experience. As a result, the output will vary in quality. Therefore, the policy development that aims at taking advantage of the new concepts and methods in manufacturing through automation will help in enhancing uniformity in production.
Apart from that, it is noted that automation in the manufacturing sector will help in boosting overall productivity. Given that there is increased demand for products due to the high population pressure, the manufacturers have no option but to boost the quantity of their production. The problem of lack of ensuring that the supply meets the demand can be adequately be met through the integration of automation. The latter is part of the adoption of new concepts, methods, and approaches in manufacturing.
To this end, it can, therefore, be stated that the development in chapter one whose aim is to take advantage of the developments in the digital world by incorporating new concepts, methods, and approaches can help in solving problems in the manufacturing industry. These problems include the lack of having a consistent or uniform offering along with the failure of the supply to meet the demand.
Reference
Janssen, M., Wimmer, M. A., & Deljoo, A. (Eds.). (2015). Policy practice and digital science
: Integrating complex systems, social simulation, and public administration in policy research (Vol. 10). Springer.