| dc.description.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. | en_US |
