Management Inventory Research Articles

Evaluation Of Physical Activity, Sleep Quality And Time Management Skills Of Physiotherapy And Rehabilitation Students During The Covid-19 Pandemic Process

Introduction: In our study, it is aimed to evaluate the physical activities, sleep quality and time management skills of the students studying in the Physiotherapy and Rehabilitation (PTR) Department, which is a department with intensive theoretical and practical course hours during the COVID-19 process. Method: All PTR students (n= 311, 75.56% female n= 265, 24.44% male n= 76) who met the inclusion criteria International Physical Activity Questionnaire (IPAQ) was used to determine physical activity level, Pittsburgh Sleep Quality Index (PSQI) was used to determine sleep quality, and Time Management Inventory (TMI) was used to determine time management skill. Results: During the COVID-19 pandemic of the students in the PTR department, 72.48% had poor sleep quality, 27.43% were inactive and only 22.82% had sufficient physical activity. Female students body mass indexes were lower, physical activity levels, time attitudes (managing time well) and sleep quality were negatively affected, and the time they spent sitting was found to be higher than men (p<0.05). The use of sleeping pills, sleep quality total score, time management and attitudes had a worse affect in inactive students than students with adequate physical activity (p<0.05). In addition, students with good physical activity scores were found to have less use of sleeping pills and a weak level of positive correlation with time management (p<0.05). It was also found that some of the subscales of sleep disorders a weak level of negatively correlated with some scores of time management (p<0.05). Discussion and Conclusion: In our study, it was observed that the physical activities and sleep quality of the students in the PTR department were negatively affected during the COVID-19 pandemic, while this situation was more dominant in female students. In addition, students with poor time management skills were found to have low physical activity levels and poor sleep quality. However, more studies are needed, especially on the effects and education of time management.

Integration of technology to clinical teaching:The impact of mobile and web-based software automation designed for midwifery students on motivation, time management and anxiety levels

AimThis study was performed to assess the impact of a mobile and web-based software system named Midwifery Clinical Automation (EBEKO) and designed by researchers to be used in clinical practices on motivation, time management and anxiety level. MethodThe sample of this randomized controlled trial consisted of 60 midwifery students who were randomly and equally assigned to the experimental and control groups. Data were collected between February and May 2019 using “Student Introduction Form”, “Motivation Resources and Problems Scale (MRPS)”, “Time Management Inventory (TMI)” and “Spielberger's State-Trait Anxiety Inventory (STAI I-II). EBEKO application was designed as a software system ensuring mutual interaction between students and instructors. Students in the experimental group and all instructors of the department of midwifery were trained in terms of using the system. Students were asked to upload the data regarding midwifery care, monitoring and trainings utilized within the clinical practices to the EBEKO. Data uploaded to the system were transferred to the screen designed for the instructors who were in charge. Instructors assessed these forms (for pregnant women/puerperal women/newborns etc.), demanded revisions, approved or returned. Approved forms corresponded to the number of forms needed by the students in the study to graduate. All students in the experimental group used EBEKO system throughout their education period (14 weeks). No interventions were made on the students in the control group. Data were analyzed through the descriptive statistics (frequency, percentage, mean, standard deviation, min-max values), and t-test in the dependent and independent groups. ResultsStudents in the experimental and control groups were found to have similar motivation, time management and anxiety level prior to the use of EBEKO. However, after the use of the application, the mean post-test motivation and time management scores of the students in the experimental group significantly increased compared to the control group (p<0.001, p<0.05), but no significant difference regarding the anxiety levels was present between the groups (p>0.05). ConclusionEBEKO was found to positively affect the motivation and time management of midwifery students.

Inventory of Household Solid Waste Management in the City of Parakou

The constant increase in the quantity of waste is a thoughtful issue for the city of Parakou, which mainly adopts traditional dumping as a waste treatment method. The obvious consequence is the proliferation of uncontrolled dumps that annoy for the population. The aim of this work is to present the current situation of waste management in this city for a more effective and sustainable intervention. A descriptive and analytical study was conducted. The choice of purposive sampling was adopted and mainly concerned institutions, pre-collection and collection structures involved in waste management. Excel software was used for data processing and Arc-View to produce the maps. The results show sixteen (16) pre-collect waste structures from 31.50% of households in the city of Parakou with rudimentary and insufficient equipment and understaffed staff for an average of 4.11 garbage collectors per structure. As for collection, the two companies that collect waste from the collection points to the final dump are no longer working. Thus, the collection points are overflowing, the waste is up to the level of the storefront and makes it difficult to move around. So, the garbage collectors are forced to go to the final dump, but 10.30% of them dump the waste on the illegal dumps. Dumps proliferate in the city and generate olfactory and visual nuisances that constitute a danger to the health of the population. 66.67% of NGOs raised issues related to complaints from people living near the dumpsites. It is therefore crucial to strengthen both financially and technically the structures involved in waste management and opt for management based really on recovery.

Estimating forest attributes in airborne laser scanning based inventory using calibrated predictions from external models

Forest management inventories assisted by airborne laser scanner data rely on predictive models traditionally constructed and applied based on data from the same area of interest. However, forest attributes can also be predicted using models constructed with data external to where the model is applied, both temporal and geographically. When external models are used, many factors influence the predictions’ accuracy and may cause systematic errors. In this study, volume, stem number, and dominant height were estimated using external model predictions calibrated using a reduced number of up-to-date local field plots or using predictions from reparametrized models. We assessed and compared the performance of three different calibration approaches for both temporally and spatially external models. Each of the three approaches was applied with different numbers of calibration plots in a simulation, and the accuracy was assessed using independent validation data. The primary findings were that local calibration reduced the relative mean difference in 89% of the cases, and the relative root mean squared error in 56% of the cases. Differences between application of temporally or spatially external models were minor, and when the number of local plots was small, calibration approaches based on the observed prediction errors on the up-to-date local field plots were better than using the reparametrized models. The results showed that the estimates resulting from calibrating external models with 20 plots were at the same level of accuracy as those resulting from a new inventory.

Work-related Stress Management Behaviors of Nurses During COVID-19 Pandemic in the United Arab Emirates.

IntroductionIntense psychological and emotional stress experienced by nurses during the COVID-19 pandemic interferes with their wellbeing and work efficiency. Stress-management behaviors are required to enhance coping and ameliorate stress effects. Therefore, it is necessary to examine the management behavior of nurses during the pandemic to suggest ways to improve their wellbeing.ObjectiveThe study aimed to examine nurses’ work-related stress management behaviors during the COVID-19 pandemic in UAE.MethodsThis was a cross-sectional survey of 64 nurses working in the Isolation and Intensive care units of two selected hospitals in the United Arab Emirates. A convenience sampling technique was used for sample selection. Each participant completed an online survey via Google forms of two validated instruments: a 10-item scale to measure perceived stress levels and a 15-item Stress management inventory. The completed questionnaires were analyzed on SPSS version 25.ResultsRespondents (78.1%) reported a moderate level of stress (Mean = 18.03 and SD = 5.33). Stress management behaviors utilized included four elements (eliminating stressors, developing resilience, using short-term coping, and effective delegating) and the mean and SD were 17.62 ± 2.6, 17.42 ± 3.3, 8.88 ± 1.47, and 23.98 ± 3.54 respectively. There was a significant positive correlation between these four elements of stress management inventory (p = 0.00). Findings also showed a significant inverse correlation between the scores on perceived stress, short-term coping, and effective delegation. The overall regression of demographic covariates on stress management behaviors was not statistically significant [F = (1.015), (0.602), (0.909), (1.286), p >0.05].ConclusionsEffective delegating and developing resilience were effective stress management behavior among nurses. Regular assessment of the psychological needs of nurses is essential to enhance overall wellbeing during stressful situations.

Vendor Managed Inventory Model in a Supply Chain with Single Vendor and Multiple Retailers Considering Price and Shelf Space Aspects

Vendor Managed Inventory Model in a Supply Chain with Single Vendor and Multiple Retailers Considering Price and Shelf Space Aspects

Time Management Attitudes of Health Care Workers Employed in the Ambulance Service in Turkey

Introduction Health care workers employed in the ambulance service should minimize their response time when responding to a medical emergency. Prehospital emergency medical services operate on a 24-h basis; hence, time management in both the work and social lives of the staff is more difficult than in other occupational groups. In the case of emergency health services, time management is no doubt the most important aspect in terms of human health. The purpose of this research was to examine the time management skills and influencing factors of health care workers employed in the ambulance service. Methods In this cross-sectional study, a questionnaire containing time management inventory (TMI) and demographics was applied. In the analysis of the data, the number, chi square, percentage, and t test were applied using SPSS statistical software. Results Of those who participated in the survey, 57.8% were male, 86.2% were working at the emergency medical service station, and 49.9% were paramedics. The average TMI was 70.49. In the time-consumption subdimension of the survey, when the genders of the health care workers who were employed in the ambulance service were compared, there was a statistically significant difference according to education status for the total time management. Conclusion A statistically significant difference was observed with regards to education status for the total time management according to gender for the time loss subdimension of the healthcare workers employed in the ambulance service. This research concluded that males working in the ambulance service managed their use of time better than the females, and that high school graduates used their time better than the undergraduates.

Optimal Operational Service Levels in Vendor Managed Inventory Contracts - An Exact Approach

Optimal Operational Service Levels in Vendor Managed Inventory Contracts - An Exact Approach

Vendor Managed Inventory Coordination Under Contractual Storage Agreement and Carbon Regulation Policies

Vendor Managed Inventory Coordination Under Contractual Storage Agreement and Carbon Regulation Policies

Development and Validation of the School Counselor Classroom Management Inventory

School counseling classroom lessons provide all K–12 students with Tier 1 preventive supports. Educators use classroom management strategies to best deliver classroom lesson content to K–12 students, although the existing literature for school counselors in particular is sparse (e.g., Goodman-Scott, 2019; Runyan et al., 2019). We describe the creation and validation of the first known assessment on school counseling classroom management: the School Counseling Classroom Management Inventory, resulting in a five-factor model. Our discussion includes strategies for school counselors at the preservice, practicing, district, and counselor education levels to best use this inventory to serve students in K–12 schools.

A Multi-Level Production-Inventory-Distribution System Under Mixed Make to Stock, Make to Order, and Vendor Managed Inventory Strategies: An Application in the Pulp and Paper Industry

A Multi-Level Production-Inventory-Distribution System Under Mixed Make to Stock, Make to Order, and Vendor Managed Inventory Strategies: An Application in the Pulp and Paper Industry

Using blockchain technology to extend the vendor managed inventory for sustainability

Nowadays, Information Technology (IT) is changing the way traditional enterprise management concepts work. One of the most dominant IT achievements is the Blockchain Technology. This technology enables the distributed collaboration of stakeholders for their interactions while fulfilling the security and consensus rules among them. This paper has focused on the application of Blockchain technology to enhance one of traditional inventory management models. The Vendor Managed Inventory (VMI) has been considered one of the most efficient mechanisms for vendor inventory planning by the suppliers. While VMI has brought competitive advantages for many industries, however its centralized mechanism limits the collaboration of a pool of suppliers and vendors simultaneously. This paper has studied the recent research for VMI application in industries and also has investigated the applications of Blockchain technology for decentralized collaboration of stakeholders. Focusing on sustainability issue for total supply chain consisting suppliers and vendors, it has proposed a Blockchain based VMI conceptual model. The different capabilities of this model for enabling the collaboration of stakeholders while maintaining the competitive advantages and sustainability issues have been discussed.

Beyond Prediction: Moderating Effects of Risk Factors, Demographic Variables and Type of Offense on Youth Recidivism in Spain

ABSTRACT In contrast to a large number of predictive analyses, most studies on recidivism do not include the moderating role variables exert on the probability of future recidivism. The present study was conducted to assess the influence of risk and protective factors, demographic variables, and the type of offense on recidivism. In addition, the moderating effect of demographic variables and the type of offense on the relationship between risk/protective factors and youth reoffending was also assessed. The Youth Level of Service of Case Management Inventory was administered to 210 Spanish minor offenders, aged between 14.00 and 18.07 years. Their subsequent charges were coded for 24 months. The sum-up of risk factors and younger age were the two variables that significantly contributed to predicting future recidivism. Meanwhile, gender and the type of crime were the variables that moderated the relationship between risk factors and recidivism. Priority prevention strategies should be aimed at reducing the impact of risk factors, especially among young boys committing violent offenses, as these are exacerbating characteristics.

A Model of Supplier Selection Under Vendor Managed Inventory Contract

VMI is the main concept for gaining accurate information and information sharing from customers to suppliers to achieve low safety stock levels, efficient inventory cost, and a reduction of ordering cost. There are many suppliers who supply spare part products under the VMI contract. Therefore, the company needs to make a decision for selecting a qualified supplier in order to improve customer service level and customer satisfaction. In addition, the uncertainty and vagueness of the expert's opinion is the prominent characteristic of the problem. Therefore an extensively used multi-criteria decision-making tool AHP can be utilized as an approach for supplier selection problems. This paper reveals the application of AHP model determining the best supplier with respect to selected criteria for selecting the best supplier under the VMI contract among the alternatives. There are criteria in this study namely quality, price, delivery, service, supplier’s background, and Information technology which include thirty subcriteria covers in the VMI contract. This research might be identified the critical criteria for supplier selection under the VMI contract.

Risk Assessment and Post-Release Recidivism in a Sample of Juvenile Homicide Offenders.

Given recent U.S. Supreme Court rulings regarding the constitutionality of juveniles who received mandated life sentences, questions have arisen in the field of criminology regarding how these offenders will adjust if someday released. Risk scores were calculated for 59 male juvenile homicide offenders (JHOs) based upon the eight domains in the Youth Level of Supervision/Case Management Inventory (YLS/CMI) and used to examine recidivism among the 48 JHOs who were released. Sample subjects were charged as adults for murder and attempted murder in the 1980s, convicted, and sentenced to adult prison. Chi-square analyses were used to assess the relationship between risk score category and two measures of recidivism, which were general arrests and violent offenses. Results indicated risk scores failed to predict both general and violent recidivism. Implications of the findings and directions for future research are discussed.

Betting Against the Odds: The Mysterious Case of the Clinical Override in Risk Assessment of Adult Convicted Offenders.

Various tools were designed to guide practitioners in the risk assessment of offenders, including the Level of Service and Case Management Inventory (LS/CMI). This instrument is based on risk assessment principles prioritizing the actuarial approach to clinical judgment. However, the tool's architects allowed subjective judgment from the practitioners-referred to as clinical override-to modify an offender's risk category under certain circumstances. Few studies, however, have examined these circumstances. Therefore, the current study used decision tree analyses among a quasi-population of Quebec offenders (n = 15,744) to identify whether there are offenders more likely to be subjected to this discretion based on their characteristics. The results suggest that, although the override is rare, it occurred under few specific combinations of circumstances. More precisely, these findings propose that the utilization of the clinical override stems from a perceived discrepancy between risk prediction and management.

Pain and Self-Management Status Among Chinese Patients With Cancer During the COVID-19 Pandemic

BackgroundTo investigate the pain and self-management status of patients with cancer and the influencing factors of pain and self-management status during the COVID-19 pandemic. MethodsA cross-sectional design was used. Eighty-one Chinese patients with cancer were recruited in December 2020. The Brief Pain Inventory, the Pain Management Inventory, and the Pain Self-efficacy Questionnaire were used to evaluate patients’ pain and self-management status. Descriptive statistical analysis and multiple linear regression models were conducted for the research aims. ResultsTwo thirds of the participants experienced moderate to severe pain. Cancer pain had moderate to severe interference on 90.12% of patients’ lives. Self-management of pain in these participants was low. The most commonly used methods of pain management included adjusting activity intensity to avoid fatigue, using distraction techniques, and massaging the sore area. The most effective methods to manage pain included taking analgesics prescribed by doctor, taking over-the-counter analgesics, and massaging the sore area. Fifteen patients (18.5%) believed that the COVID-19 pandemic had an impact on pain management and 26 patients (32.1%) needed support. Pain education, pain interference on sleep, chemotherapy, and payment status were significantly associated with cancer patients 'pain self-management. ConclusionsDuring the COVID-19 pandemic, patients with cancer had moderate to severe pain intensity with low levels of self-management and self-efficacy towards that pain.

THE IMPACT OF INVENTORY CONTROL PRACTICES ON COST REDUCTION: THE CASE OF LEBANESE RETAIL COMPANIES

Inventory is a significant aspect in administration of items and services or other commodities that are kept in storage by companies and organizations. The research deals with four research variables which are vendor management inventory, lean practices, inventory management and strategic supplier management in their relation to the performance of retail companies. The research is based on the use of the mixed study approach, which aims at defining the effects of inventory control on cost reduction and operational performance of retail firms in Lebanon. The research addressed 123 respondents from the two companies. Also, the researcher has carried out six interviews with three managers from each of these two companies. The data was collected using Google forms, and then analyzed using SPSS. Descriptive analysis, inferential statistics and normality distributions were used to analyze the collected data, and the research has found a direct relationship between vendor inventory management, inventory stock taking, lean practices and strategic supplier relationships and the operational performance of the companies in question. The research recommended three new models to be implemented in further studies, and these models include the independent variables as a dependent variable. &#x0D;

Pain Management and Life Satisfaction In Elderly Individuals: A Single Centred Study

Objective: This study was conducted to find out the pain management status and life satisfaction of elderly individuals living in a nursing home and to determine the relationship between these.&#x0D; Methods: This descriptive cross-sectional study was conducted in a nursing home in Turkey in November 2019. The data were collected by the researchers with face-to-face interview technique by using “Personal Information Form”, “Geriatric Pain Measure (GPM)”, “Pain Management Inventory (PMI)” and “Life Satisfaction Scale (LSS)”.&#x0D; Results: GPM total score was 48.95±11.24, and average LSS was 14.37±6.85. There is a positive statistically significant association between GPM and PMI (r=0.385; p

A Vendor Managed Inventory with FIFO and LIFO Plans

Nowadays, the stores always want to find a valid plan for perishable products as a challengeable concern for the management of perishable items. As known, regarding the perishable products which have a limitation for consumption, we cannot force the consumers to buy the products which are close to their shelf-life time. To address this challenge, this paper considers a hybrid of FIFO and LIFO strategies and its impact on the profits of the vendor managed inventory contracts which are very little discussion in the literature. Most importantly, this paper deals with an inventory system for perishable products stochastically with a new optimization model. The proposed problem computes the costs of the order and storage with two different holding costs based on the FIFO and LIFO strategies as well as the profits from selling of the products. With a maximizing optimization model, the goal is to find the optimal order for each store in per period. The model is solved by the dynamic programming with backward strategy. The results confirm the applicability and efficiency of the proposed model in this context and the high impact of products’ shelf-life to use the FIFO or LIFO strategies in the stores.