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Workforce Optimization (WO)

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Added on  2020-05-28

Workforce Optimization (WO)

   Added on 2020-05-28

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Running head: DISCUSSION DiscussionName of the StudentName of the UniversityAuthor note
Workforce Optimization (WO)_1
1DISCUSSIONFor the promotion of operational efficiency, workforce optimization (WO) is done tohave an insight into the performance of workforce focusing on experiences of customers. WO isdone to enhance performance management so that there is better view of overall workforcemaking work easier and faster. As described in the paper by Bastian et al., (2015) thedetermination of appropriate number of promotions and hires in each medical specialty is a tiringand complex task. AMEDD Personnel Proponency Directorate (APPD) used manual approachfor projecting these tasks supporting 30-year old life cycle. To meet the demands of thehealthcare organization, objective force model (OFM) was proffered by APPD optimizing theworkforce planning of AMEDD. In this optimization process, the employees are selected basedon preferences engaging them to the fullest in the forecasting, planning and evaluation of dailyscheduling tasks. Unboundedness, infeasibility and instability are the problems that areassociated with optimization that is corrected permitting better transparency offered by OFM(López-Santana et al., 2016). The main objective of this OFM was to enhance better transparency for AMEDDpersonnel decision makers and effective projection of optimal number of officers who wereworking to meet the demands of the current workforce. As APPD was previously functioningmanually, this new model helped to conduct work quickly for the decision-making in theorganization. The strength of paper is that OFM used by APPD for the workforce optimization bymedical professionals was explicitly explained with stochastically variants used to MedicalSpecialist Corps. Several methods are explained in the article where expert workforce decisionmaking estimate correct promotion and hires that achieved personnel structure showing greatsignificance. The study has research gap when further planning is required to model changing
Workforce Optimization (WO)_2

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