Operational dashboard: Accelerator for shop floor workers

  • Authors

    • E M. M. Yusof
    • M S. Othman
    • R. M. Yusof
    2018-05-22
    https://doi.org/10.14419/ijet.v7i2.29.13115
  • Operational Dashboar, Manufacturing Operation, Visualization.
  • Executing job tasks faster is essential for employees working in the operation section of manufacturing organizations nowadays in order to achieve target profit and gain customer satisfaction. Thus, having a tool to assist them in performing their work faster is necessary. Existing IT system does exist to supply the data they need. However, the entire process is invisible because there is no real-time information available. This causes delay in decisions that they need to make for the operation of the section. To address these issues, this paper presents the Operational Dashboard (OD) for the workers in the operation section of the manufacturing firm. The workers’ needs were first identified to ensure that a right dashboard is being constructed, which is the OD. The OD system was then implemented in the manufacturing firm following the users’ requirements. The implementation of the OD had shown its effectiveness in shortening the time of the data analysis by the employees in the section. This eventually led to improvement in the decision making process in such a way that the process was done faster as compared to the previous practice.

     

     

  • References

    1. [1] Hooi, L. W. Organizational Justice and Citizenship Behaviour in Malaysia. Springer (2016). ISBN: 978-981-10 0030-0.

      [2] Laudon, K. C., Laudon, J. P. and Elragal, A. A. Management Information Systems - Managing the Digital Firm. Edition Arab World. Pearson Education Limited (2013). ISBN: 978-1-4082-7160-5

      [3] Bracht, U., Hackenberg. W and Bierwirth, T. A Monitoring Approach for the Operative CKD Logistics - Increased Efficiency Through Optimized Flows of Information by Means of Digital Factory Tools. Werkstattstechnik (2011), 101 (3), pp. 122-127.

      [4] Grögera, C., Mark, H., Hahna, F., Mitschanga, B. and Westkämpera, H. The Operational Process Dashboard for Manufacturing. Forty Sixth CIRP Conference on Manufacturing Systems (2013). Elsevier/Science Direct, 205–210.

      [5] Yusof, E. M. M., Othman, M. S., Omar, Y. and Yusof, A. R. M. The Study on the Application of Business Intelligence in Manufacturing: A Review. International Journal of Computer Science Issues (2013), 10(1), 317-324.

      [6] Nunes, B., Bennett, D. and Shaw, D. Building a Competitive Advantage Through Sustainable Operations Strategy. 22nd International Conference on Management of Technology (2013), 1-16.

      [7] Yusof, E. M. M. Enhanced Dashboard for Manufacturing Order Management Decision Making. Master Thesis (2014). Universiti Teknologi Malaysia.

      [8] Yusof, E. M. M. and Othman, M. S. A Review on the Dashboard Characteristics for Manufacturing Organizations. Journal of Information Systems Research and Innovation (2012), (2), 28-34.

      [9] Lafler, K. P. Building a Better Dashboard Using Base SAS® Software. Proceedings for PharmaSUG (2016), AD12.

      [10] Aanderud, T. and Homes, M. Admins Need a Dashboard, Too. Dashboards with SAS® Visual Analytics, SAS® North Carolina State University (2014), Paper 1247.

      [11] Khalifa, M. and Khalid, P. Developing Strategic Health Care Key Performance Indicators: A Case Study on a Tertiary Care Hospital. PhD. The 5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (2015), 459 – 466.

      [12] Copani, G. and Rosa, P. DEMAT: Sustainability Assessment of New Flexibility-Oriented Business Models in the Machine Tools Industry. International Journal of Computer Integrated Manufacturing (2015), Volume 28, Issue 4.

      [13] Mousaa, A. H., Shiratuddinb, N. and Bakar, M. S. A. Process Oriented Data Virtualization Design Model for Business Processes Evaluation (PODVDM) Research in Progress. Jurnal Teknologi, UTM (2015), 72:4, 121–125.

      [14] Henning, B. and Julian, E. From Data Warehouses to Analytical Atoms – The Internet of Things as a Centrifugal Force in Business Intelligence and Analytics. Twenty-Fourth European Conference on Information Systems (2016), 1-18.

      [15] Mandal, S. Towards a Relational Framework for Supply Chain Analytics. International Journal of Applied Engineering Research (2016), Volume 11, Number 7, 4838-4843.

      [16] Moniruzzaman, M., Kurnia, S., Parkes, A. and Maynard, S. B. Business Intelligence and Supply Chain Agility. (2015). 1-16.

      [17] Gröger, C. and Stach, C. The Mobile Manufacturing Dashboard. Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communications Workshops (2014), 138-140.

      [18] Kumar, H. Production Surveillance Dashboards in Upstream Industry. Wipro Technologies (2013). White Paper.

      [19] Mavatoor, D. Flow Manufacturing: How to Achieve Superior Customer Response. Cognizant 20-20 Insights (2013). White Paper.

  • Downloads

  • How to Cite

    M. M. Yusof, E., S. Othman, M., & M. Yusof, R. (2018). Operational dashboard: Accelerator for shop floor workers. International Journal of Engineering & Technology, 7(2.29), 4-6. https://doi.org/10.14419/ijet.v7i2.29.13115