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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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| Paper Title: | Workforce Management Tools and Field Service Optimization: A Case Study in Customization, Scheduling, and Contextual Adaptation |
| Authors Name: | Malli Temburu |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_206057
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| Published Paper Id: | IJRTI2506222 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i6.206057 |
| Abstract: | As organizations navigate increasingly complex service environments, the integration of advanced Workforce Management (WFM) tools with field service operations has become a strategic imperative. This review paper explores the evolution, challenges, and future directions of WFM systems through the lens of customization and scheduling optimization. By critically analyzing existing literature, case studies, and current technologies, the paper highlights key gaps in traditional scheduling models — particularly their limited adaptability, insufficient contextual awareness, and lack of user-centered flexibility. In response, the paper introduces a novel theoretical framework, the Contextual Adaptive Scheduling Model (CASM). This semi-autonomous model incorporates real-time data integration, human-centric override mechanisms, and predictive analytics to enable dynamic, personalized scheduling in field service contexts. Through comparative analysis with heuristic, real-time, and ERP-based models, CASM is shown to outperform conventional systems in predictive accuracy, first-time fix rates, and customer satisfaction metrics. The paper also outlines the broader implications of CASM for practitioners and policymakers, emphasizing its role in digital workforce transformation, ethical AI use, and adaptive service delivery. Finally, the study offers recommendations for future research focused on behavioral data integration, collaborative AI-human scheduling, and resilience modeling. This review contributes a foundational step toward developing smarter, more resilient, and context-aware WFM systems that better align with operational realities and human dynamics. |
| Keywords: | Workforce Management (WFM), Field Service Optimization, Contextual Adaptive Scheduling Model (CASM), Predictive Analytics, Real-Time Data Integration, Customization, Human-Centered Design, Scheduling Algorithms, Digital Transformation, Service Industry Operations |
| Cite Article: | "Workforce Management Tools and Field Service Optimization: A Case Study in Customization, Scheduling, and Contextual Adaptation", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.c179-c186, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506222.pdf |
| Downloads: | 000423 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2506222
Registration ID:206057
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i6.206057
Page No: c179-c186 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506222 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506222 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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