Sebelas Maret University (UNS) as a member of a consortium team for developing national electric vehicle, is developing a lithium battery for energy storage in electric vehicle (EV). Currently, the technology is in the technology development phase for commercialized under the university spin off scheme. In the technology development phase, according to the Goldsmith commercialization model, price identification should be studied before proceeding to the next stage of commercialization. Therefore, this study develops a cost estimation model to assess the feasibility of developed product based on the suitability of the targeted cost by market with the estimated cost. Research approaches to develop the model is parametric method based on activity-based costing. This approach is made to enhance accuracy of the cost estimation. By providing a numerical example into the model, this study can predict the cost of lithium ion battery cell (30Ah). The feasibility assessment carried out by calculating the targeted cost from desire profit and targeted price of market. The targeted cost is calculated as the cut off value to assess the feasibility of the developed product. The developed product feasible, if the estimated cost is equal or less than the targeted cost.
Aim: To explore the effects of disability, depressive, anxiety and stress symptoms on patients' and their partners' quality of life (QoL) using the actor-partner interdependence model (APIM).
Design:A cross-sectional study using actor-partner interdependence model.
Methods:We recruited 183 dyads of stroke survivors and their family caregivers in Indonesia. The World Health Organization Disability Assessment (WHODAS 2.0), Depression, Anxiety and Stress (DASS-42) and Rand Short Form Health Survey (SF-36) were used to measure disability, depressive, anxiety and stress symptoms and QoL of stroke survivors and family caregivers. The actor-partner interdependence model was tested using multilevel modelling. The actor-partner interdependence mediation model (APIMeM) was applied to estimate the direct and indirect effect.Results: Disability had actor effects on stroke survivor's overall QoL and partner effect on family caregiver's overall QoL. More severe disability of stroke survivors was associated with a lower overall QoL of their own and that of family caregiver's overall QoL. Depressive symptoms of stroke survivors had actor effects on stroke survivors' overall QoL and partner effects on family caregivers' overall QoL. Actor and partner effects also exist on family caregiver's depression symptoms to their own overall QoL and stroke survivor's overall QoL. Moreover, higher anxiety symptoms were associated with lower levels of their own and partner's overall QoL in both stroke survivors and family caregivers. Stroke survivor's stress symptoms also negatively associated with their own and family caregiver's overall QoL. However, a family caregiver's stress without a partner effects on stroke survivor's overall QoL. The APIMeM analysis showed that disability of stroke survivors directly decreased their own overall, physical (PCS) and mental QoL (MCS). Also, disability mediated by stroke survivor's depression, anxiety and stress symptoms decreased both stroke survivor's and family caregiver's physical (PCS) and mental QoL (MCS).
Conclusion:The findings suggest that stroke survivors and family caregivers may influence each other during the caregiving process and social life. The disability of stroke survivors, and the depression, anxiety and stress symptoms of stroke survivors and
We proposed a cost estimation application in determining the feasibility of Li-Ion Battery manufacturing planning. The application is development of previous research about cost estimation model and technical feasibility study in Li-Ion battery manufacturing in mini plant scale. Cost estimation model is constructed in activity-based costing (ABC) model, while the technical feasibility process is constructed in Goldsmith Technology Commercialization Model. The application uses production planning data in ABC model for technical feasibility, market study data for market feasibility and management planning data for business feasibility. Management team can adjust the planning if the application shows that the planning is infeasible. By this application, management team can assess the feasibility of Li-Ion battery manufacturing planning in simple way considering the fluctuation of parameters. Numerical example has been simulated and shows the result in simple and fast way. The result can be consideration for Li-Ion battery management team in producing and business planning.
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