Robust Inventory System Optimization Based on Simulation and Multiple Criteria Decision Making

Inventory management in retailers is difficult and complex decision making process which is related to the conflict criteria, also existence of cyclic changes and trend in demand is inevitable in many industries. In this paper, simulation modeling is considered as efficient tool for modeling of retailer multiproduct inventory system. For simulation model optimization, a novel multicriteria and robust surrogate model is designed based on multiple attribute decision making (MADM) method, design of experiments (DOE), and principal component analysis (PCA). This approach as a main contribution of this paper, provides a framework for robust multiple criteria decision making under uncertainty

Robust Inventory System Optimization Based on Simulation and Multiple Criteria Decision Making

Inventory management in retailers is difficult and complex decision making process which is related to the conflict criteria, also existence of cyclic changes and trend in demand is inevitable in many industries. In this paper, simulation modeling is considered as efficient tool for modeling of retailer multiproduct inventory system. For simulation model optimization, a novel multicriteria and robust surrogate model is designed based on multiple attribute decision making (MADM) method, design of experiments (DOE), and principal component analysis (PCA). This approach as a main contribution of this paper, provides a framework for robust multiple criteria decision making under uncertainty

ATTITUDE AND PSYCHOLOGICAL SUPPORT OF HEALTH CARE PERSONNELAS PREDICTORS OF MENTAL WELL-BEING AMONG PATIENTS WITH TERMINAL ILLNESS IN JALINGO TOWN

This study examined attitude and psychological support as predictors of mental wellbeing among patients with terminal illness in Jalingo town. The ex post facto research design was employed for the study. The instruments used were attitude scale, the psychological support scale and mental wellbeing scale. A total of 270 respondents took part in the study. Simple and Multiple Regression Analysis and Four- Way- ANOVA were used for data analyses. Findings revealed that attitude predicted mental wellbeing. Findings also indicated that psychological support predicted mental wellbeing. Results further showed that attitude and psychological support jointly predicted mental wellbeing. However, there was no significant interaction effect of religion, age, sex and marital status on mental wellbeing. Based on these findings, it was recommended among other things that health care personnel should give more time and energy to help terminally ill patients cope with the illness and treatment. Moreover, attention should be given to increasing the functional coping strategies of patients with terminal illness and more specific approach can be followed that will allow focus on building stress resistance in patients with terminal illness, reliefs suffering and provide comfort to patients with terminal illness to improve their mental wellbeing