Decision support system for manufacturing firm | Blazingprojects Postgraduate Thesis
Home / Computer Science / Decision support system for manufacturing firm

Decision support system for manufacturing firm

 

Table Of Contents


Chapter ONE

INTRODUCTION

  • 1.1Introduction
  • 1.2Background of Study
  • 1.3Problem Statement
  • 1.4Objective of Study
  • 1.5Limitation of Study
  • 1.6Scope of Study
  • 1.7Significance of Study
  • 1.8Structure of the Research
  • 1.9Definition of Terms

Chapter TWO

LITERATURE REVIEW

  • 2.1Overview of Decision Support Systems
  • 2.2Evolution of Decision Support Systems
  • 2.3Types of Decision Support Systems
  • 2.4Components of Decision Support Systems
  • 2.5Benefits of Decision Support Systems
  • 2.6Challenges in Implementing Decision Support Systems
  • 2.7Decision Support Systems in Manufacturing Firms
  • 2.8Case Studies on Decision Support Systems
  • 2.9Future Trends in Decision Support Systems
  • 2.10Summary of Literature Review

Chapter THREE

SYSTEM DESIGN AND IMPLEMENTATION

  • 3.1Research Methodology Overview
  • 3.2Research Design
  • 3.3Data Collection Methods
  • 3.4Sampling Techniques
  • 3.5Data Analysis Methods
  • 3.6Ethical Considerations
  • 3.7Validity and Reliability
  • 3.8Limitations of Research Methodology

Chapter FOUR

SYSTEM TESTING AND EVALUATION

  • 4.1Overview of Findings
  • 4.2Demographic Analysis
  • 4.3Technology Adoption in Manufacturing Firms
  • 4.4Impact of Decision Support Systems on Operations
  • 4.5Employee Perception of Decision Support Systems
  • 4.6Case Study Analysis
  • 4.7Comparison with Industry Benchmarks
  • 4.8Recommendations for Manufacturing Firms

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • 5.1Conclusion and Summary
  • 5.2Recap of Research Objectives
  • 5.3Key Findings Discussion
  • 5.4Implications for Manufacturing Firms
  • 5.5Recommendations for Future Research

Thesis Abstract

Abstract
In the competitive landscape of the manufacturing industry, the need for effective decision support systems (DSS) has become paramount for firms to thrive and stay ahead. This research project aims to develop a comprehensive DSS tailored specifically for manufacturing firms to assist in strategic and operational decision-making processes. The DSS will integrate various data sources, advanced analytical tools, and visualization techniques to provide decision-makers with timely and accurate information to improve decision quality and efficiency. The key components of the proposed DSS include data collection and integration, data analysis and modeling, decision modeling and evaluation, and visualization and reporting. Data collection will involve gathering information from both internal sources such as enterprise resource planning (ERP) systems and external sources like market trends and customer feedback. The integration of these diverse data sets will be crucial to provide decision-makers with a holistic view of the business environment. Data analysis and modeling will utilize advanced techniques such as predictive analytics, machine learning, and simulation to extract insights and patterns from the data. These analytical tools will help in identifying trends, forecasting future outcomes, and optimizing various aspects of the manufacturing processes. Decision modeling and evaluation will involve developing decision models based on the analyzed data and evaluating different scenarios to assess the potential impact of various decisions. The visualization and reporting component of the DSS will focus on presenting the findings in a clear and intuitive manner to facilitate better understanding and decision-making. Interactive dashboards, charts, and graphs will be used to communicate complex data in a visual format, enabling decision-makers to quickly grasp key insights and trends. Additionally, the DSS will provide real-time monitoring and alerts to keep decision-makers informed about any critical changes or deviations from the expected outcomes. Overall, the proposed DSS for manufacturing firms aims to enhance decision-making processes by providing a structured framework for analyzing data, modeling decisions, and visualizing results. By leveraging the power of data-driven insights and advanced analytics, manufacturing firms can improve operational efficiency, optimize resource allocation, and gain a competitive edge in the market. The development and implementation of this DSS have the potential to transform the way manufacturing firms make decisions and drive business growth in an increasingly dynamic and complex environment.

Thesis Overview

<p> </p><div><p>INTRODUCTION Before the advent of computer in Nigeria manufacturing firms, just like other areas of the society were used to manual method operation. This is to say, the operation which involves the production, transaction, customer registration stock system and balancing of account were carried out manually. And without any doubt this manual method of operation is very slow unreliable of operation is very and prone to error and mistakes. In view of this, several attempt and efforts have been made by various organization as well as higher institution of learning on developing or more formidable in every day application of new technology in over day to day activities. In March, 1995 a student of secretariat administration of Kwara State Polytechnic, Ilorin carried out a research project on the “ DECISION SUPPORT SYSTEM FOR A MANUFACTURING FIRM ”. A project which deal elaborately on the application of machines such as photocopier, typewriter etc. the effective running of an organization. In December 2000 a student of accounting at the Kwara State College of Education, Ilorin, carried out research project on a “DECISION SUPPORT SYSTEM FOR A MANUFACTURING INDUSTRY”. Project work covers aspect such as production sectors, sales and accounting sector of the organization, but using a manual approach and decision making for a manufacturing industry. In view of this, therefore, I declared to build it at and improve the previous attempt made by others in the application of technology and a decision, support through application on a specific computer programming language in “ DECISION SUPPORT SYSTEM FOR A MANUFACTURING SYSTEM ” A case study of International Tobacco Company Plc Ilorin.</p></div><div><p>1.2 AIMS AND OBJECTIVES</p><p>The fact that the exiting system holds a great deal of stock and balance of account that no one including the management wents. And most of the mistakes is stock system customer registration and balance of account cannot be corrected within a year of it eventually postponed this delays some certain decision to be taken by the management of the company.</p><p>Thus, there is need for reform in the decision support system used by the company. Decision Support System is an interactive system that Support Decision Making Increase sales and can be used in solving users problems.<br>The overall objectives of the decision support system is to support decision making and giving a correct customer registration and stock system so that combined lost, cost of holding stock and stock put cost are at a minimum level.</p><p></p><p>This is done by establishing the following factors how to prepare how the customer registration and stock system report, how to record credit sales how to give total turn over allowance and withdraws of goods from stocks and to when release goods. It becomes tedious and complex when it is done manually. This is a reason why it is felt the present system should by analyze either feasible considered.</p><p>The project will be carried out in a way to have up to one objective which are listed below, so that it acts as guidance for the project work.</p><p>1. To describe the exiting system and to find a formidable solution to their various problem envisage in the system.</p><p>2. Go as much as possible eradicable various manual processes<br>that are reparative.</p><p>3. To improve the updating modification and presentation of the<br>various report needed.</p><p>1.3 SIGNIFICANCE OF THE STUDY</p><p>Decision reports system is the operation of continuous decision, making is giving out to the customer so that the stock system are adequate to support the current role of demands with due regards to the economy.</p><p>Generally, since the advent to computer in the world the general awareness of its potential capacity as a useful tools, has grown steadily, this development has manifested itself in several ways and different forms. Today, computer turn up almost every where and eventually there is no human activity which is not found useful.</p><p>Since most business are faced with large volume of data to process and most of these data used to be processed, quickly and accurately in order to give useful information to the officer concern and which will be used in decision making for instance, if a supervisor officers needs to know how money have been received, how much is spent on salaries and at the same time, how many goods are in stocks.</p><p>Computer performs operation with high speed processed information with accurate efficiency and reduces the paper work and sitting cost. And this facts goes a long way in increasing the patronage, profit and reduces the losses and the production.</p><p>1.4 METHODOLOGY</p><p>Before collection of any data at all, its is very important to know exact what the collection is all about. One must therefore establish whether data would be collected from the whole population of part of the phenomena above which the information can be collected.</p><p>In this project, however the sample where the information is supposed to be collected is International Tobacco Company Plc Ilorin, However, looking at the number of the location company throughout the entire nation, one would discover that it would difficult for a researcher to collect information from the manufacturing location to get accurate information. Therefore, the sampling technique is employed and as sample is selected on the basis of rational thinking.</p><p></p><p>From the purpose of this study, the Head of Office of International Tobacco Company Plc Ilorin is taken into consideration.<br>The concerned officers of the Company were interviewed and conclusion through these interviewed and observation, the researcher arrived at the sub segment conclusion.</p><p>1.5 SCOPE AND LIMITATION</p><p>The day to day decision made by the stock system of account controller determines in a very directory way the investment in stocks and services offered to customer.</p><p>Thus the scope of the study focuses its attention on the customer registration and stock system department of the company. The department which have a great impact in decision making and the system involves the following process:</p><ol><li>Assessing the number of goods to be supplied to customer.</li><li>Deciding the extent of goods be held in stock daily.</li><li>Regulating the number of goods produced in one factory/</li><li>Regulating the issue of stock from the store.</li></ol><p>Although this project work is done under the thorough supervision and proper research to achieve the aims of easing the problems of data entry processing of customer order in International Tobacco Company Plc, Ilorin. It is only limited to the Head Office alone, however it can be further developed enter for networking system, though it caters for relate calculation but this varies depending on the rate. However, it can still be expended on further improvement.</p><p>1.6 ORGANIZATION OF THE REPORT</p><p>The study which is on decision support system for a manufacturing firm covers a vital aspect. Apart from the certification, dedication, acknowledgment, abstract the project work consist of five broad chapters.</p><p>The first chapter is the introduction, which covers areas such as aims and objective significance of the study methodology, scope and limitation and organization current state of the act of the company.</p><p>The second chapter is on literature review, which deal elaborately on the case study historical background company technical terms and computerization current state of the art of the company.</p><p>The third chapter of study deals explicitly on the analysis of the existing system, description of current procedure, problems of existing system, description of proposed system and advantages of the proposed system of the company.</p><p>The fourth chapter focuses on the explanation of design of the system implementation on the system and documentation on the system.</p><p>The last chapter of the study is the summary and conclusion and it also covers areas such as recommendation experience gained and reference for the efficiency of the research work. Besides the appendix system flowchart program flowchart sources program listings and computer outputs were also designed at the end of the project work.</p><ol><li>Management: Is the groups of individuals who make decision about how a business is a run.</li><li>Support: Is the act of holding in position so as to perform your duties or to bear the weight.</li><li>Hardware: Is the physical component of a computer that feel and touched e.g. keyboard, monitor etc.</li><li>Software: is the collection of computer programs and related data that provide the instruction to accomplish a goal or achieve an aim.</li><li>Computer: Can be defined as an electronic machine/device that performs task such as calculations or electronic communication, under the control of set of instruction called a program.</li><li>Decision: Is a choice made between alternative course of action in a situation of uncertainty or it a selection between possible actions.</li><li>System: Is a set of detailed methods, procedures, and routines established or formulated to carry out a task</li><li>Manufacturing: Is the use of machines, tools and labour to produce goods for use or sale.</li><li>&nbsp;Scope: Is the extent or range of view, outlooks, application, operation, effectiveness, etc an investigation of wide scope.</li><li>Limitation: Is the act of allowing only a specific quantity of something or is the act of limiting or the state of being limited</li></ol></div> <br><p></p>

Blazingprojects Mobile App

📚 Over 50,000 Research Thesis
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Thesis-to-Journal Publication
🎓 Undergraduate/Postgraduate Thesis
📥 Instant Whatsapp/Email Delivery

Blazingprojects App

Related Research

Zoology. 4 min read

Utilizing Machine Learning for Automated Species Identification in Biodiversity Moni...

This research focuses on developing a computer-based system that can automatically identify different species of animals and plants using machine learning techn...

BP
Blazingprojects
Read more →
Veterinary Medicine. 2 min read

Development of a Mobile App for Real-Time Disease Surveillance in Livestock...

This research focuses on creating a mobile application that allows farmers, veterinarians, and other livestock stakeholders to quickly report and monitor diseas...

BP
Blazingprojects
Read more →
Urban and Regional P. 3 min read

Smart Mobility Hubs for Sustainable Urban Traffic Management...

This research focuses on developing and understanding the role of smart mobility hubs in making urban transportation more sustainable and efficient. Urban areas...

BP
Blazingprojects
Read more →
Theatre Art. 4 min read

Augmented Reality Enhancements for Immersive Theatre Experiences...

This research focuses on using augmented reality (AR) technology to improve and enhance live theatre experiences, making them more immersive and engaging for au...

BP
Blazingprojects
Read more →
Technical education. 3 min read

Developing an AI-Driven Virtual Lab Platform for Technical Skill Acquisition...

This research focuses on creating an advanced virtual laboratory platform that uses artificial intelligence (AI) to help students develop technical skills in fi...

BP
Blazingprojects
Read more →
Surveying and Geo-in. 4 min read

Development of an AI-Enhanced Mobile GIS for Urban Land Use Mapping...

This research focuses on creating a new tool that combines artificial intelligence (AI) with mobile Geographic Information Systems (GIS) to improve how urban la...

BP
Blazingprojects
Read more →
Statistics. 2 min read

Developing Predictive Models for Healthcare Outcomes Using Machine Learning and Elec...

This research focuses on creating computer-based models that predict healthcare outcomes, such as patient readmission, disease progression, or treatment success...

BP
Blazingprojects
Read more →
Soil Science. 2 min read

Developing a IoT-based Sensor Network for Real-Time Soil Nutrient Monitoring...

This research is about creating a system that uses the Internet of Things (IoT) to monitor soil nutrients in real-time. Soil nutrients like nitrogen, phosphorus...

BP
Blazingprojects
Read more →
Sociology and Anthro. 3 min read

The Impact of Mobile Communication on Indigenous Community Cultural Preservation...

This research investigates how mobile communication, such as smartphones and messaging apps, affects the preservation of culture within Indigenous communities. ...

BP
Blazingprojects
Read more →
WhatsApp Click here to chat with us