Unified Roster and Machine Allocation System

This paper presents a Unified Roster Management and Machine Allocation System (URMMAS), a software-driven solution designed to optimize industrial operations by streamlining resource management and enhancing efficiency. Leveraging advanced computational techniques, real-time data handling, and intuitive interfaces, URMMAS dynamically allocates personnel and machines based on predefined parameters, utilizing automated scheduling algorithms to prevent shift overlaps, balance workloads, and adapt to changing demands. Manual override options provide managerial flexibility, while real-time notifications, alerts, and comprehensive data analysis tools enable informed decision-making by offering insights into machine usage, employee performance, and operational trends. Additional features, including leave management, role-specific dashboards, and cross-platform accessibility, ensure adaptability and user-friendliness. By integrating advanced algorithms and leveraging existing digital infrastructure, URMMAS delivers a scalable, efficient, and sustainable solution for industrial operations.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-01-09
DOI
https://doi.org/10.5281/zenodo.14621000
Primary Topic
Local Government Finance and Decentralization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unified Roster and Machine Allocation System

Zenodo (CERN European Organization for Nuclear Research)
Local Government Finance and Decentralization
article

Unified Roster and Machine Allocation System

article en

Abstract

This paper presents a Unified Roster Management and Machine Allocation System (URMMAS), a software-driven solution designed to optimize industrial operations by streamlining resource management and enhancing efficiency. Leveraging advanced computational techniques, real-time data handling, and intuitive interfaces, URMMAS dynamically allocates personnel and machines based on predefined parameters, utilizing automated scheduling algorithms to prevent shift overlaps, balance workloads, and adapt to changing demands. Manual override options provide managerial flexibility, while real-time notifications, alerts, and comprehensive data analysis tools enable informed decision-making by offering insights into machine usage, employee performance, and operational trends. Additional features, including leave management, role-specific dashboards, and cross-platform accessibility, ensure adaptability and user-friendliness. By integrating advanced algorithms and leveraging existing digital infrastructure, URMMAS delivers a scalable, efficient, and sustainable solution for industrial operations.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 48%
Local Government Finance and Decentralization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Unified Roster and Machine Allocation System · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS