Academic Paper in the subject Computer Science - Commercial Information Technology, , language: English, abstract: The following research questions were determined to support the research objectives: What are the challenges faced by the manufacturing industries using only conventional Gantt charts and work breakdown structure manufacturing industries in managing and optimization of data? What factors contributed to the development of automated and cloud-based project management software in the manufacturing industry? What is the role of automation in project management software? How has automated and cloud-based project management manufacturing software like Jira and Asana effectively contributed to its role in manufacturing industries ?This study is significantly important from both theoretical and practical perspectives. Theoretically speaking, the findings of this study will review new theories in the existing literature which will help the scholars in further exploring the subject from the manufacturing perspective. Since, the past studies are mostly based on the construction, defence, and service sector and mostly on software development; this study will focus mainly on the implementation of project management in the manufacturing industry with the adoption of modern tools like Jira and Asana in this sector. Alternatively, the empirical investigation in this research could provide a reasonable rather logical overview of the strategies to practitioners and academics for the introduction of APM in the environment of traditional project management in the area of manufacturing which is still under-explored by past researchers. In addition, this research will also guide the project managers with the help of empirical research in identifying the drivers due to which APM has been introduced and the challenges the project managers would face in applying those in the manufacturing industries. This study is aimed to comprehend the role of cloud-based and automated tools, Jira and Asana in effective project management: by investigating the manufacturing sector.
