International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
•
Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
Conferences Published ↓
IC-AIRCM-T3-2026
SPHERE-2025
AIMAR-2025
SVGASCA-2025
ICCE-2025
Chinai-2023
PIPRDA-2023
ICMRS'23
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 8 Issue 2
March-April 2026
Indexing Partners
Integrated Master Production Scheduling Dashboards Combining Workforce and Capacity Metrics in Assembly Manufacturing Environments
| Author(s) | Sai Prasad Ravulapally |
|---|---|
| Country | United States |
| Abstract | Manufacturing companies are having difficulties dealing with demand that changes quickly, which means that they need to quickly match production capacity with the availability of workers. Traditional Master Production Scheduling (MPS) methods often rely on the planner's experience and separate analytical tools, which makes it harder for organizations to respond quickly and make the right decisions. This study discusses the creation and use of a Master Production Scheduling dashboard that brings together customer demand, production capacity, and workforce needs in a labor-intensive assembly manufacturing setting that makes outdoor power equipment. The dashboard combines takt-time standards, workforce modeling, line capability constraints, and operational calendars into one decision-support platform using a design science research methodology and an industrial case study. The results demonstrate that planning for the workforce is more transparent, staffing choices are made more rapidly, cross-functional planning is more consistent, and more visible to leaders. The results show how engineering-driven analytical dashboards can help businesses make small changes to their digital systems without having to spend a lot of money on new systems. |
| Keywords | Master Production Scheduling, Capacity Planning, Workforce Analytics, Manufacturing Dashboards, Industrial Engineering Analytics, Decision Support Systems, Production Planning, Digital Manufacturing Transformation. |
| Field | Engineering |
| Published In | Volume 8, Issue 2, March-April 2026 |
| Published On | 2026-03-26 |
| DOI | https://doi.org/10.36948/ijfmr.2026.v08i02.72556 |
Share this

E-ISSN 2582-2160
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.
Powered by Sky Research Publication and Journals