IRSPAS 2017

Permanent URI for this collectionhttp://repository.kln.ac.lk/handle/123456789/18078

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Subject: search.filters.subject.Analytical hierarchy process

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    Optimizing the allocation of employees for training programmes.
    (International Research Symposium on Pure and Applied Sciences, 2017 Faculty of Science, University of Kelaniya, Sri Lanka., 2017) Wickramarachchi, B.; Wijayanayake, A.
    The Human Resource (HR) department of any organization plays a vital role in decision making. All HR managers commit for dedicated corporate trainings to ensure that their employees have a better understanding of their assigned work and be able to achieve the organizational goals. If the human resource practices are conducted in an effective and optimized manner, it will leverage extra benefit to the organization. Since the resources are scarce in every situation, any company could offer a limited number of training opportunities based on the allocated training budget. The main problem that is encountered is the current system’s inability to identify the most value adding training programmes which are aligned to the company goals. However, when the demand for a training programme exceeds the available capacity, the best decision must be taken to optimise the allocation of right people to the right training programs to fill the competency gap. Decision making in HR Management tends to be more subjective, if multiple aspects are not considered when making decisions. Unless the trainings are not aligned with the organizational goals, the organization may not be able to achieve the expected company goals in short term, and also competencies will be stagnated in the long run. Therefore, the main objective of this study is to optimize the most beneficial and value adding training programmes which align with each departmental goals of the organisation and to assign the optimal number of employees for each training programme . In the first phase of the study, Analytical Hierarchy Process (AHP) is used to prioritize the training programmes under different criteria in order to achieve the company goals. An Integer Linear Programming model has been developed to maximize the priority values of training programmes, and to find the number of programmes that should be conducted. In the second phase, using the AHP, each department compute the priority values for training programme based on the existing competency gaps. If the demand is higher than the capacity of the training programmes, then an optimization method, similar to LP transportation method is used to assign employees for each programme. This proposed model facilitates requirements of each department to identify the most value adding and strategically aligned training programmes. The results of the study show the training manager was able to map the employees of each department to the most value adding training programme while satisfying the demand of each department. Significantly, this model can also facilitate the training manager to allocate employees for training programmes when the demand for the particular training programme surpasses the capacity or the resources available for the training programme.
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    An optimization model to allocate most suitable team members for software development projects.
    (International Research Symposium on Pure and Applied Sciences, 2017 Faculty of Science, University of Kelaniya, Sri Lanka., 2017) Dharmasena, T.; Wijayanayake, A.
    Human resource is the most important resource that creates value for the software development projects with the correct identification of knowledge and skills that need to achieve the specified scope of any given project. In this resource allocation process, there are many factors that should be considered such as time, cost, quality and scope of the project. However, this becomes more complex when the range of skills, knowledge, experience and expertise required increases. Most of the software development projects have failed since the appointment of team members to achieve the expected goals has not been appropriate. Therefore, it is more important to determine the optimal number of positions required to be filled by the most qualified employees for each project. By considering past literature and the current practices in the IT industry, it is evident that there are many problems associated with the selection of the best set of team members to meet the project goals. Practically, there is no specific methodology or system that has yet been identified to match the team members to achieve the scope of a given project as some of the requirements are subjective while the rest is objective. Therefore, the main objective of this research is to develop a model to determine the optimal number of positions required to be filled by the project, and to select the most qualified applicants for each project who would contribute the most to the achievement of the project scope and quality within the given time and budget. In this study, the Analytical Hierarchy Process (AHP) is used to compute the priority value or competency benefit value to identify the most suitable employees for different roles in the project, according to project requirements, skills and knowledge of the employees. Here, in the AHP, multi-criteria decision is used while considering both the subjective and objective criteria. In this method, all employees are given an AHP ratings score based on their competencies. Then, an integer linear programming model was developed considering the competency benefit value as the objective coefficients in the linear programming problem. Then, the team member selection and allocation were optimized by taking tangible measurement into consideration as constraints. This proposed model will assign the most suitable team members for the relevant project while considering the subjective and objective requirements. AHP together with Linear Programming model determine which position to be filled and which person to be allocated in order to optimize the quality and the scope of the project. Furthermore, the project manager can enhance the working efficiency within their project team members as it enables to select the best set of people within the given constraints. Success of this allocation process directly connects with scope and goals of the project. This model provides an effective tool to select the suitable team members while meeting the subjective and objective resource constraints, and derive maximum benefits not only for the software development project, but for the company too.