Production Management System for ELS Constructions (Pvt.) Ltd.

Abstract

The main goal of this study is to design and implement a web based production management system to increase the productivity and the service level of ELS Construction (Pvt.) ltd, together with managing supply chain, production process and sales process. This volume dwells on the system design, implementation and evaluation of the system. In the first phase of the volume, the aims and objectives have been reviewed and priority has been given to the processes involved in supply chain management and production management. In the second part, results of a short empirical survey of the existing systems are presented. These show that there is growing demand for advance production and scheduling systems. In a detailed central section the thesis provides analysis and design of the web based system, including diagrams and algorithms for schedule work orders in production. At the fourth section the technology is applied for the design of the web application. For implementation Microsoft Visual Studio 2010 is used with three tier architecture and SQL database management server. In fifth section the result of the project is presented. The performance of the application was tested using a small sample of user’s rating to measure the efficiency. The results show that the application facilitates to maintain supplies, schedule production and create quotations and so on via web more accurately and efficiently, when compared with users’ perspective. System was evaluated critically for identify the accuracy of the outputs and user controls within one month of testing phase. At the end of testing the accuracy of the production schedule is fine-tuned, and evaluation results are tabulated. Finally the results of the project show that web application is fulfilled the user’s requirement of increasing production and make accurate and smart decisions for achieve business goals, but with some limitations. Users can browse the site only through a local host server form specific browsers such as internet explorer, chrome. The author recommends further improvement to the web application by localizing and adding more advance features such are demand forecast and rescheduling for enhance the quality of the web application.