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Mondelēz International (Cadbury) – Cleaning Schedule & Task Tracking System / Case Study

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HIGHLIGHTS

  • Name: Mondelēz International (Cadbury Division)
  • Industry: Food & Confectionery Manufacturing
  • Region: United Kingdom
  • Core Offerings: Cadbury, a division of Mondelēz International, is one of the world’s most recognized confectionery brands. With a legacy spanning over a century, Cadbury operates large-scale manufacturing facilities across the globe, maintaining strict hygiene and quality standards in all production operations.

In this article

Requirement
Challenge
Solution
Impact

REQUIREMENT

Building a Web-Based Cleaning Schedule Management System for Cadbury

Cadbury required a web-based Cleaning Schedule Management System to digitize and automate the tracking of cleaning operations, team assignments, and compliance reporting across multiple plants. The main objectives included:

  • Digital Task Management: Automate the scheduling and tracking of routine and ad-hoc cleaning tasks across plants.
  • Centralized Dashboard: Provide real-time visibility into cleaning progress, task completion, and performance analysis.
  • Role-Based Access: Enable different access levels for Admins, Management, and Viewers with customized dashboards and actions.
  • Performance Reporting: Generate detailed reports with charts and trends to measure hygiene compliance and team efficiency.
  • Automated Notifications: Notify users about new assignments, task updates, and feedback through email.
  • Compliance Record-Keeping: Digitally record every cleaning activity, feedback, and deficiency correction for audit and traceability.
REQUIREMENT

CHALLENGE

Addressing Scheduling Complexity, Data Accuracy, and Role-Based Functionality Across Plants

The project aimed to replace the manual, spreadsheet-based cleaning schedule process with a fully automated system. Key challenges included:

  • Complex Scheduling: Each plant had multiple areas, teams, and weekly job cycles requiring precise scheduling.
  • Data Accuracy: Ensuring every cleaning task was logged correctly with performance tracking and follow-up actions.
  • Role Differentiation: Defining clear functionality and visibility for Admin, Management, and Viewer users.
  • Performance Analytics: Consolidating job-level data into actionable insights through graphs and dashboards.
  • Validation & Audit Trail: Maintaining complete traceability of cleaning records, deficiencies, and corrective actions.
CHALLENGE

SOLUTION

Developing an Automated Cleaning Schedule Management System for Multi-Plant Operations

A custom web application was developed to automate the entire cleaning operation workflow—from scheduling and team management to reporting and compliance tracking.

Role-Based System Design

  • Admin Module: Full control over user, plant, and team management.
  • Create, assign, and schedule cleaning jobs (routine or ad-hoc).
  • Monitor weekly job listings and performance graphs.
  • Manage master sheets for yearly schedules (52-week view).
  • Generate comprehensive reports on job status, completion rate, and performance trends.
  • Management Module: Create and update cleaning jobs for assigned plants.
  • Access dashboards showing completion percentages and weekly progress.
  • Manage team members and track overall plant hygiene status.
  • Viewer Module: View dashboards, job details, and weekly cleaning schedules.
  • Search and print job lists for record-keeping or audits.

Job Management System

  • Structured modules for creating and updating both scheduled and ad-hoc cleaning jobs.
  • Jobs include details such as plant, area, equipment, method, assigned team, estimated time, frequency, and responsible personnel.
  • Automated creation of weekly schedules from master job templates.
  • Online post-cleaning feedback forms capture job completion details, deficiencies, and corrective actions.

Performance Dashboards & Reporting

  • Graphical reports (pie, bar, and area charts) for Completed vs. Pending vs. Partial Jobs.
  • Visualize Weekly and Block-Wise Performance, Team Efficiency, and Task Distribution.
  • Advanced filtering for date range, plant, and location.
  • Printable master sheets for offline tracking and compliance reporting.

Notification & Email Automation

  • Automated email notifications upon job creation, assignment, or status change.
  • Alerts for overdue or pending cleaning tasks sent to responsible personnel.

Technology Stack

  • Frontend: HTML5, CSS3, Bootstrap, JavaScript, jQuery, AJAX.
  • Backend: .NET Framework.
  • Database: Microsoft SQL Server.
  • Hosting Environment: Windows Server.
  • Architecture: Cloud-ready modular system designed for future scalability.
SOLUTION

IMPACT

Enhancing Efficiency, Compliance, and Accountability Across Cadbury’s Cleaning Operations

The Cleaning Schedule Management System transformed Cadbury’s plant hygiene operations through digitization and automation:

  • +60% Efficiency Improvement: Automation reduced manual data entry, improving scheduling accuracy and speed.
  • Enhanced Compliance: Digitized records provided reliable, auditable cleaning data for safety and quality audits.
  • Better Resource Utilization: Managers gained visibility into team performance and time allocation.
  • Data-Driven Decisions: Real-time dashboards empowered management to identify trends and optimize cleaning schedules.
  • Improved Accountability: Traceable task logs ensured every job was recorded, reviewed, and verified.
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Mondelēz International (Cadbury) – Cleaning Schedule & Task Tracking System / Case Study | iMorse Technologies Pvt Ltd