A Real-Time System for Efficient Laundry Resource Allocation in University Dormitories

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Year : 2026 | Volume : 04 | 01 | Page :
    By

    Ravikant Nanwatkar,

  • Walhekarpatil Mugdha Kailas,

  • Jadhav Pratiksha Hanmant,

  • Mrunmayi Puranik,

  • Vishakha Vishal Rewade,

  1. Assistant Professor, Department of Engineering Science, STES’s NBN Sinhgad Technical Institutes Campus, Ambegaon, SPPU, Pune, Maharashtra, India
  2. Student, Department of Engineering Science, STES’s NBN Sinhgad Technical Institutes Campus, Ambegaon, SPPU, Pune, Maharashtra, India
  3. Student, Department of Engineering Science, STES’s NBN Sinhgad Technical Institutes Campus, Ambegaon, SPPU, Pune, Maharashtra, India
  4. Student, Department of Engineering Science, STES’s NBN Sinhgad Technical Institutes Campus, Ambegaon, SPPU, Pune, Maharashtra, India
  5. Student, Department of Engineering Science, STES’s NBN Sinhgad Technical Institutes Campus, Ambegaon, SPPU, Pune, Maharashtra, India

Abstract

Adequate management of the available resources in communal places like university dorms is important in improving the convenience of the students, and in providing optimal use of these facilities. This paper describes the design and implementation of a real-time system on efficient allocation of resources when it comes to laundry in a university dormitory. The system also seeks to counter the challenges that are prevalent among students such as long queues, underutilization of the machines, and time conflicts through real-time monitoring, smart scheduling algorithms, and easy interfaces. The offered system combines the Internet of Things (IoT) sensors with the centralized cloud platform to monitor the state of the laundry machine operation continuously. Based on this data, the system will be capable of giving real time updates and availability predictions using a mobile application. Students will be able to book machines, get notifications about the end of the laundry cycle, and see the patterns of using machines at the best times. An active queuing and reservation scheme guarantees equitable access and maximum reduction of idle time and conflict minimization amongst users. Pilot implementation of the selected dormitories showed considerable positive effect on the efficiency of the laundry room, as much as 30% decrease in the machine idle time and more satisfaction among its users. Facility managers also have administrative features which include the use of analytics and maintenance notifications in the system which allow proactive management of equipment and improved service planning. This system will provide a scalable and sustainable solution to the management of shared laundry in academic institutions through real time data collection, intelligent scheduling, and a user-friendly interface. The current study adds to the ever-expanding smart campus technologies field and highlights the opportunities that IoT-based solutions have in improving the quality of student life and its efficiency.

Keywords: schedule laundry pickup, saves waiting time, seamless laundry booking experience, reduces laundry wait times, 24/7 laundry booking, Hostel Students, Convenient for sharing, Student-Friendly Washer, Water-Efficient Washing

How to cite this article:
Ravikant Nanwatkar, Walhekarpatil Mugdha Kailas, Jadhav Pratiksha Hanmant, Mrunmayi Puranik, Vishakha Vishal Rewade. A Real-Time System for Efficient Laundry Resource Allocation in University Dormitories. International Journal of Advanced Control and System Engineering. 2026; 04(01):-.
How to cite this URL:
Ravikant Nanwatkar, Walhekarpatil Mugdha Kailas, Jadhav Pratiksha Hanmant, Mrunmayi Puranik, Vishakha Vishal Rewade. A Real-Time System for Efficient Laundry Resource Allocation in University Dormitories. International Journal of Advanced Control and System Engineering. 2026; 04(01):-. Available from: https://journals.stmjournals.com/ijacse/article=2026/view=239788


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Ahead of Print Subscription Original Research
Volume 04
01
Received 26/02/2026
Accepted 28/02/2026
Published 07/04/2026
Publication Time 40 Days
19

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