A Study On Time Management In Logistics Operations And Its Impact On Service Levels

• Author(s):

  SATHEESH B | PRADHAP B

• Keywords:

  Time Management, Logistics Operations, Service Levels, Supply Chain Management, Transportation Planning, Warehouse Management, Inventory Control, Dispatch Scheduling.

• Abstract:

  This Research Investigates Time Management Strategies Within Logistics Operations And Their Influence On Service-level Outcomes In A Manufacturing Environment. Logistics Efficiency Depends Heavily On How Organizations Coordinate Transportation, Inventory Handling, Warehousing, Order Processing, And Delivery Scheduling. The Primary Objectives Of This Study Are To Examine The Time Management Approaches Adopted By The Selected Organization, Evaluate Their Effectiveness In Sustaining Optimal Service Levels, And Identify The Key Operational Challenges Hindering Logistics Performance. Both Primary And Secondary Data Were Utilized. Primary Data Were Gathered Through Structured Questionnaires Administered To Logistics And Operations Staff, While Secondary Data Were Sourced From Organizational Records, Academic Journals, Company Websites, And Related Industry Publications. The Analysis Reveals That The Organization Maintains Structured Logistics Procedures Encompassing Transportation Planning, Warehouse Coordination, Inventory Control, And Dispatch Scheduling. Key Challenges Identified Include Transportation Delays, Inadequate Scheduling Frameworks, Interdepartmental Communication Gaps, And Insufficient Technological Infrastructure. Despite These Hurdles, The Organization Demonstrates Commendable Operational Discipline That Positively Impacts Overall Performance. The Study Concludes That Robust Time Management In Logistics Operations Leads To Improved Productivity, Reduced Delays, And Elevated Customer Satisfaction. Recommendations Include The Adoption Of Advanced Technologies, Enhanced Cross-departmental Coordination, And Strengthened Monitoring Systems To Optimize Service Delivery.

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Other Details

• Paper id:

  IJSARTV12I6105666

• Published in:

  Volume: 12 Issue: 6 June 2026

• Publication Date:

  2026-06-11

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