Textile software work allocation

ABSTARCT :

The positive or negative outcome that a firm experiences, depends mostly on the ability of making appropriate decision. The particular area of this research interest is, however, relies on the application of linear programming techniques for textile dyed fabrics to create efficient resource utilization mechanism for textile sector to improve their resource utilization and profitability, taking one of the textile share company as a case study. This share company produces eight textile finished dyed fabrics. The monthly availability of resources utilized to produce all of textile dyed fabrics, and the total cost per meter of fabric of each products have been collected from the case company. The data gathered was mathematically modeled using a linear programming technique which is a practical analysis process and a holistic decision support tool, and solved using Microsoft-Excel solver. Since linear programming offer many advantages to managers in allocating avail resources to their optimal use and in pointing out the economies of underemployed resources, the computational study of the approaches makes them to provide faster decision on the type and amount of textile dyed fabrics to be produced that yield more income than strategies obtained from trial and error methods to be improved by 72.63% and 65.91%.

EXISTING SYSTEM :

? They show that teams engaged in exploratory tasks complete their projects more quickly if they have a social network structure composed of many strong external ties that are non-redundant. ? In contrast, teams pursuing tasks that exploit existing expertise take longer to complete if they have this type of social network structure, mainly because external ties have to be maintained but are not much needed for the task. ? The teams were composed of relative equals and had limited existence, making them unlike most real world teams. ? In future research, more case studies/surveys need to be conducted on people working in the software industry.

DISADVANTAGE :

? Linear programming is defined as the problem of optimizing a linear objective function of several decision variables subject to a set of linear equality or inequality circumstances. ? The problem addressed here is to determine the type and quantity of dyed fabrics to be produced by the company for efficient resource utilization that can enhance the returns of the company through the application of linear programming technique. ? A big problem faced by managers during their management is how best to combine these resources and activities in an optimal manner so that the overall efficiency is optimized.

PROPOSED SYSTEM :

• To systematize software development, many process models have been proposed over the years. • In this paper we tackle one crucial part of the Coordination problem in Software Development, namely the problem of task assignment in a team. • We propose a methodology to test a hypothesis based on how social networks can be used to improve coordination in Software Industry. • While there is no single cause for the problems in Software Development, a major factor is the problem of coordinating activities while developing large software systems .

ADVANTAGE :

? The optimal solutions have been generated by the Microsoft-Excel solver and compared with the on hand company's performance of resource utilization and gross income. ? It is the fundamental pillar for solving LPP. Even though , there have been many modifications to the method, especially to take advantage of computer implementations, the essentials features are still the same as they were when the method was invented. ? It is a testing task for the manager of the company to identify the type and quantity of products which guarantee more gross income with efficient resource utilization at a minimum cost for the company. ? The linear programming technique will be used to determine the product mix that will maximize the total profit.