Optimizing the Allocation of Training Programmes to Maximize the organizational Goals

Abstract

All Human Resource 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. Due to resource scarcity, any company could offer a limited number of training opportunities based on the allocated training budget. The main problem that encounter in the current system is, that it unable to identify the most value adding training programmes which are aligned to the company goals. However, when a limited budget is allocated the best decision must be taken to optimize 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 while making decisions. Unless the trainings are not aligned with the organizational goals, organizations 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 organization and to assign the optimal number of employees for each training programme. In the study, Analytical Network Process (ANP) is used to prioritize the training programmes, considering employees` individual needs, departmental needs and other requirements to achieve the company goals. Then, 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 within the allocated budget.This proposed model facilitates to map the most value adding training programme with the departmental training requirements.