Supply management system for water distribution company
Table Of Contents
Project Abstract
Project Overview
1.2 Aim and Objectives of the Study
The aim of the study is to implement Supply management system for water distribution company a case study of Terry water company. The following are the objectives of the study:
- To develop an automated system for supply management to manage supply functions
- To develop a system that will aid easy capture and retrieval of supply details.
- To develop a system that will help in maximizing profit by determining priority of supply
- To develop a system that will present reports of supplies when needed by management.
1.3 Scope of the Study
This study covers the development of a Supply management system for water distribution company a case study of Terry water company, Ikot Ekpene.
1.4 Significance of the study
This study is significant in the following ways:
- It will aid the management of Terry water company to properly manage the records of supplies to be made on a daily basis.
- The system will enable the water company to be able to determine who they have supplied to and those that are still pending.
- It will provide an easy way of updating and verifying supply records of customers.
- The system will serve as a management information system to the management of terry water company.
- The study will serve as a useful reference material to other researchers and academicians seeking related information on supply management.
1.5 Organization of the Research
This research work is organized into five chapters.
Chapter one is concerned with the introduction of the research study and it presents the preliminaries, theoretical background, statement of the problem, aim and objectives of the study, significance of the study, scope of the study, organization of the research and definition of terms.
Chapter two focuses on the literature review, the contributions of other scholars on the subject matter is discussed.
Chapter three is concerned with the system analysis and design. It presents the description of the existing system, analysis of the proposed system and system design..
Chapter four presents the system implementation and documentation, the choice of programming language, analysis of modules, choice of programming language and system requirements for implementation.
Chapter five focuses on the summary, constraints of the study, conclusion and recommendations are provided in this chapter based on the study carried out.
1.6 Definition of Terms
Demand: The amount of a good or service that consumers are willing to buy at a particular price.
Database Application: A software program for storing, retrieving and manipulating a database.
Supply: To provide, give, sell, or make available something that is wanted or needed by somebody or something.
Management: Administration of business, the organizing and controlling of the affairs of a business or a sector of a business.
Blazingprojects Mobile App
📚 Over 50,000 Project Materials
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Software coding and Machine construction
🎓 Postgraduate/Undergraduate Research works
📥 Instant Whatsapp/Email Delivery
Related Research
Predicting Disease Outbreaks Using Machine Learning and Data Analysis...
The project topic, "Predicting Disease Outbreaks Using Machine Learning and Data Analysis," focuses on utilizing advanced computational techniques to ...
Implementation of a Real-Time Facial Recognition System using Deep Learning Techniqu...
The project on "Implementation of a Real-Time Facial Recognition System using Deep Learning Techniques" aims to develop a sophisticated system that ca...
Applying Machine Learning for Network Intrusion Detection...
The project topic "Applying Machine Learning for Network Intrusion Detection" focuses on utilizing machine learning algorithms to enhance the detectio...
Analyzing and Improving Machine Learning Model Performance Using Explainable AI Tech...
The project topic "Analyzing and Improving Machine Learning Model Performance Using Explainable AI Techniques" focuses on enhancing the effectiveness ...
Applying Machine Learning Algorithms for Predicting Stock Market Trends...
The project topic "Applying Machine Learning Algorithms for Predicting Stock Market Trends" revolves around the application of cutting-edge machine le...
Application of Machine Learning for Predictive Maintenance in Industrial IoT Systems...
The project topic, "Application of Machine Learning for Predictive Maintenance in Industrial IoT Systems," focuses on the integration of machine learn...
Anomaly Detection in Internet of Things (IoT) Networks using Machine Learning Algori...
Anomaly detection in Internet of Things (IoT) networks using machine learning algorithms is a critical research area that aims to enhance the security and effic...
Anomaly Detection in Network Traffic Using Machine Learning Algorithms...
Anomaly detection in network traffic using machine learning algorithms is a crucial aspect of cybersecurity that aims to identify unusual patterns or behaviors ...
Predictive maintenance using machine learning algorithms...
Predictive maintenance is a proactive maintenance strategy that aims to predict equipment failures before they occur, thereby reducing downtime and maintenance ...
