Business Process Assignment: Analysis of Smart Production System
Task: To prepare this business process assignment, each individual student is required to select one peer reviewed journal article on process analytics and change related to the course. Each individual student is required to write a report critically analyzing their selected journal article, including an introduction, summary, analysis and conclusion. The review should be supported by references from the literature, demonstrating wider reading and critical thinking.
The report will discuss some of the improvement techniques for business process management that can help in the field of production through the smart process. The primary aim of the report is to present the challenges and opportunities of industry 4.0. The report will properly discuss the role of theIoT, smart production systems, CPS, big data analytics, and some newly adopted advanced technologies that can help in improving business process management. Some of the issues are also discussed for the smart production system that is identified in industry 4.0. The report will give an in-depth understanding and knowledge about all the identified drivers and help to establish the relationship between the business process management and smart production system. At last, the overall report is concluded in the conclusion section.
“Smart Production System drivers for improved Business Project Management”
Summary and Important Ideas
Industry 4.0 is another name of the fourth industrial revolution. The concept of industry 4.0 consequent and digitization manufacturing transform the complete value chain. To support and adopt the new techniques in industry, information and communication technology plays a very prominent role. After the emergence of the challenges of industry 4.0, many organizations remodel and re-organize their organizational process. They include both external and internal resources to remodel the business processes (Yin et al. 2018). There is no agreement has been done for the controlling, measuring, and monitoring of business strategies. As an exception, some of the challenges regarding the adoption of Industry 4.0 were given. It is not like that the question of implication arises only for the environment of manufacture but the implication arises for the management of the supply chain also (Wagner et al. 2017). The decision-makers and the scholars found opportunities, challenges, and consequences as the main topic to be discussed. The main factors of the industrial revolution were affected by these opportunities and challenges (Waibel et al. 2017). Some of the important components of Industrial 4.0 are the IoT, cloud computing, big data analytics, a good system for production, machine to machine, additive manufacturing, blockchain, artificial intelligence, smart cities, cloud manufacturing, automated guiding vehicles, and many more. A smart production system has the capability to handle the complete life cycle of any product. It also encompasses so many automation methods that provide support to monitoring and controlling the product's life cycle (Müller and Däschle 2018). In this way, a smart production system provides its contribution towards making the product's life cycle safer, it reduces the cost of manufacturing the product, and it increases the sustainability of the product. A smart production system also brings improvement to the operations of low-carbon management. Making the industry sustainable can provide advantages to the smart production system. Big data analytics is very much helpful in analyzing a large quantity of data at a time and for processing and storing them. Big data analytics can manage every type of data whether structured, non-structured, or semi-structured. Big data analytics also helps the organization to create knowledge and enhance their business processes (Ludbrook et al. 2019). BDA is known as the powerful strategy of the industry for any sector. In the smart production system, big data analytics plays a very vital role. it provides opportunities like increment in productivity, improvement of sustainability, providing support to innovation, and controlling the operations of workers. The cyber pillar system is also known as one of the important pillars of the smart production system. It also affects the value chain of the industry. Cyber-physical system provides its support to the traditional system of manufacturing. There is an important dimension of the TCP SPS that is theIoT. The application of the IoTis communication from machine to machine. After the smart production system utilized the internet of things, the level of efficiency and safety was increased as the human interaction was reduced while manufacturing the product (Lin et al. 2018).
Analysis based on Strength and Weakness
There are many drivers identified while analyzing the article regarding the improvement of business process management and the smart process system. The analysis is presented as a framework highlight BDA, and IoT that provide a better system to improve business process management and makes the smart production system better. The evaluation of the article regarding the improvement of smart production systems has been mentioned in this section. The very first thing identifies in the evaluation was that a positive relationship exists between the drivers of big data analytics and smart production system's processes (Abubakr et al. 2020). One of the outputs was evaluated from the interaction of cleaner production with big data analytics. The utilization of BDA in the industry can predict the near fails using which it can improve its safety levels before hands. Using big data analyticsstrategy, there can be a reduction in wastage of resources and energy and it also provides a better management system to manage business processes.
It is also considered as the better approach to control and monitor the processes and contributes towards enhancement of reliability. A cyber-physical system makes the system enhanced and provides good interaction among the different components of the smart production system. It was also identified that in the environment of the smart production system, the whole production can be categorized into small units, and hence the cyber-physical system is one of the aspects of adoption of distributes manufacturing. In the environment of the smart production system, the health quality of workers can be improved as they will use many smart approaches for the production purpose. It was examined that the component Internet of Thingsis making its research area broad. There is also a positive aspect that exists among the smart production system for the performance of business management and the drivers of theIoT. Using the tool IoTis very enormous in big cities for improved business process management. The study examined that a smart production system has basically three main pillars and that are analytics of big data, CPS, and IoTthat provide its impact on the improvement of business process management. In a smart production system, the management of improvements could be made to business processes by applying techniques like BDA. BDA has the potential to guess the resources that are going to be consumed and the optimization requirement (Jasim and Ismail 2021). With the integration of tools like CPS and IoT, there is the benefit to business process management as it can control the business process inaccurate manner. There was a total of twenty-six drivers identified in the article. The framework of the process was explored by these twenty-six drivers. Some of the limitations are also identified during the analysis of the smart production system article. There has not any test implied to the new framework of the system. In comparison to the limitations, the number of benefits derived is more. Using the tool of the Internet of Thingsin a smart production system the life cycle of any product can become longer and the quality of the product can be standardized (Xu et al. 2018). Collaborating Internet of Thingswith blockchains, there can more business model can develop. Utilizing big data analytics can help the management of both physical and human resources also avoids the wastages of available resources. Therefore, the study identified that all the mentioned cannot be unlocked in a time by the organization. It is also not important to use or develop every tool in an identical level (Ante et al. 2018). There is a direct relationship exist between the integration of these tools and the goal of the organization. The more these tools are integrated the easily organizational goal can be accomplished.
It can be said analyzing the above report, that the above report has successfully identified the required drivers that can help in the improvement of business process management and bring the smart production system to the existing industry. Proper discussions are presented about the three different pillars of a smart production system that also creates an impact on the business process management. If the system is monitoring in a proper and accurate manner, it can have control over the lifecycle of products, then it could help in forming a sustainable and smart production system. If a business is using all the above discussed concepts then it could help in its quality development and the product lifecycle will increase. The report also consists of the idea of a smart production system framework. As the framework is only discussed and not tested so, it is one of the limitations of the article. The concepts of knowledge management are also important as they can help the industry in taking better decisions. Overall, the report will give a better understanding of the business process management improvement techniques and help the decision-makers to remove complexities in the smart production system.
Abubakr, M., Abbas, A.T., Tomaz, I., Soliman, M.S., Luqman, M. and Hegab, H., 2020.
Sustainable and smart manufacturing: An integrated approach. Sustainability, 12(6), p.2280.
Ante, G., Facchini, F., Mossa, G. and Digiesi, S., 2018. Developing a key performance indicators tree for lean and smart production systems. IFAC-PapersOnLine, 51(11), pp.13-18.
Jasim, N.A. and Ismail, B.S., 2021. Measuring the possibility of smart production application for sustainable production performance. Periodicals of
Engineering and Natural Sciences (PEN), 9(1), pp.277-284.Lin, K.Y., 2018. User experience-based product design for smart production to empower industry 4.0 in the glass recycling circular economy. Computers & Industrial Engineering, 125, pp.729-738.
Ludbrook, F., Michalikova, K.F., Musova, Z. and Suler, P., 2019. Business models for sustainable innovation in industry 4.0: Smart manufacturing processes, digitalization of production systems, and data-driven decision making. Journal of Self-Governance and Management Economics, 7(3), pp.21-26.
Müller, J.M. and Däschle, S., 2018. Business model innovation of industry 4.0 solution providers towards customer process innovation. Processes, 6(12), p.260.
Wagner, T., Herrmann, C. and Thiede, S., 2017. Industry 4.0 impacts on lean production systems. ProcediaCirp, 63, pp.125-131.
Waibel, M.W., Steenkamp, L.P., Moloko, N. and Oosthuizen, G.A., 2017. Investigating the effects of smart production systems on sustainability elements. Procedia Manufacturing, 8, pp.731-737.
Xu, L.D., Xu, E.L. and Li, L., 2018. Industry 4.0: state of the art and future trends. International Journal of Production Research, 56(8), pp.2941-2962.
Yin, Y., Stecke, K.E. and Li, D., 2018.The evolution of production systems from Industry 2.0 through Industry 4.0. International Journal of Production Research, 56(1-2), pp.848-861. Yin et al. 2018