The Healthcare Organization in COVID-19 Age: An Evaluation Framework for the Performance of a Telemonitoring Model

Telemedicine services (TS) are not only supportive for healthcare professionals, but managers also see them as essential for the provision of an efficient, effective, and sustainable healthcare service. Several systems make TS available in different ways and contexts. However, no commonly accepted framework meets the need to draw conclusions about which TS can efficiently be measured. For this purpose, a framework is proposed in order to define a dynamic method of performance evaluation that can be used to improve the sustainable management of a telemonitoring model for COVID-19 patients. A case study analysis based on the experience of three telemedicine networks in different locations providing telemonitoring services (northern, central, and southern Italy) was performed. A total of four phases (1. Identification of the target population; 2. Identification of health needs; 3. Definition of the operational plan; and 4. Monitoring of the service by indicators), and seven indicators have been identified. Despite the differences raised in the Italian contexts, applying a performance evaluation framework could help the managerial sector to understand if the service is working as intended and what effects the service is producing on the healthcare organization. Considering the long-term field experience, this framework is an easy-to-use tool that will allow healthcare organizations to evaluate the performance of their telemonitoring model, and improve it according to new needs. Providing a healthcare service in an efficient context is fundamental for the sustainability of the health system as a whole.

Production and Supply Chain Operation Planning “Minuman Nanas” Innovation of Subang Honey Pineapple Beverage

Background – PT. Limatra runs the business of manufacturing and selling pineapple beverage products with various variants. PT Limatra provides packaged pineapple fruit juice products derived from 100% pineapple juice without the addition of preservatives. With 100% pineapple juice, of course it has a high vitamin C content as well. With the use of UHT (Ultra High Temperature) technology in the maklon industry and the use of aseptic paperpack packaging, it can produce good quality fruit juice products, maintain the freshness of the juice and have a relatively long product durability. PT Limatra provides solutions, namely: (1) Providing pineapple juice products with different flavors (mixed apple, mango and orange); (2) Providing pineapple juice products using aseptic paperpack packaging technology; (3) Using UHT technology to maintain the freshness and durability of the product; (4) Products that provide 100% pure fruit juice without additional formulas. To produce superior products requires an optimal operational plan. The method used is descriptive method. Results- From the results of the analysis and design of the operational plan, the Stages of Business/Business Establishment, Operational Goals and Targets, Operational Design, Operational Delivery, and Operational Cost Projections are generated. Keywords: Minuman Nanas, Subang Honey Pineapple Beverage, Production and Supply Chain Operation.

Robust Estimation Methods Used to Study the Reasons behind Increasing Divorce Cases in Saudi Society

Background. Increasing divorce rates is a major problem in Saudi society. Divorce has become the primary solution for many couples who are experiencing problems in their relationships, and the language of divorce has become prevalent in both the daily register of Saudi courts on a daily basis and in fictional works. This trend has become a threat to marital life and is particularly damaging for children and young people. There has been previous research on the increase in divorce rates; however, no one addresses this important issue statistically. The specific research question is what are the actual reasons for the increase in divorce rates mentioned in previous studies? Objective. This study contains a statistical analysis of the underlying reasons for rising divorce rates in Saudi society. Methods. An online survey was conducted that gathered quantitative data from 800 participants. The responses of factual relevance were examined via edge plan analysis, regression analysis, and analyses with SPSS software to determine the causes for the rise in divorces in Saudi society. A predesign of edge consisting of six factors and twelve trials is selected. The design is examined in all the data for each row of it and according to the factor or reason chosen, provided that all design items are fulfilled; after that, it is analyzed in two ways. Results. Some examples are presented, so the findings indicated that differences on the couple’s characters and the length of time the wife spent doing housework and amount of attention to the husband are factors that contributed to divorce. Conclusion. The Saudi Arabian government needs to develop an operational plan to study these causes of divorce and take action. Future studies could analyze the data using supersaturated prototypes, where a large number of variables are studied in just a few simulation trials.

KELAYAKAN TEKNIS PERENCANAAN ANGKUTAN SEKOLAH DI KOTA PEKANBARU``

In Pekanbaru City, students' trips to and from school tend to use private vehicles, be it motorbikes or those delivered by parents, so the available urban transportation is less attractive. Almost 75% of students use motorbikes, this situation can certainly affect student safety. This can be seen from the number of accidents in 2017 which placed the student profession as a victim in the 2nd position. Therefore, it is necessary to plan safe, comfortable, precise and safe school transportation. This research was conducted at schools in the Lima Puluh District area. The analysis used the method of calculating potential demand, service routes, types and number of fleets. Based on the demand for school transportation, the school bus transportation service area is divided into 6 school transportation routes. The fleet used is medium buses. The operational plan for school transportation is divided into 3 shifts, namely morning, afternoon and evening

Integrating Production Planning with Truck-Dispatching Decisions through Reinforcement Learning While Managing Uncertainty

This paper presents a new truck dispatching policy approach that is adaptive given different mining complex configurations in order to deliver supply material extracted by the shovels to the processors. The method aims to improve adherence to the operational plan and fleet utilization in a mining complex context. Several sources of operational uncertainty arising from the loading, hauling and dumping activities can influence the dispatching strategy. Given a fixed sequence of extraction of the mining blocks provided by the short-term plan, a discrete event simulator model emulates the interaction arising from these mining operations. The continuous repetition of this simulator and a reward function, associating a score value to each dispatching decision, generate sample experiences to train a deep Q-learning reinforcement learning model. The model learns from past dispatching experience, such that when a new task is required, a well-informed decision can be quickly taken. The approach is tested at a copper–gold mining complex, characterized by uncertainties in equipment performance and geological attributes, and the results show improvements in terms of production targets, metal production, and fleet management.

The main principles of forming the priorities of the socio-economic development strategy of the country

The article substantiates the need for the formation and implementation of the socio-economic development strategy of the country as a basis for sustainable and dynamic development. International and domestic experience, formation and approval of the strategy are analyzed. Based on the study and analysis of the situation, the author proposed a mechanism for determining the priorities of the strategy, the application of criteria of relevance and feasibility as a basis for setting priorities. Relevance criteria are divided into critical, important and desirable, where a critical priority is the event that must be carried out at a certain time despite the necessary resources; an important priority is one that has a positive effect on efficiency, but is determined by the resource limit, and a desirable priority is one that can have a positive effect on efficiency, but resources and deadlines depend on their availability after the implementation of other measures. The implementation criterion is divided into political, technical and financial. Political implementation involves the support of the government and the parliament in the adoption of relevant laws, regulations and more. The technical implementation of the strategy is based on the appropriate infrastructure, potential, complexity, timing, as well as the sequence of implementation of certain activities. The financial criterion is based on financial needs, capital and other expenditures, the need to increase efficiency or mobilize additional financial resources. The need to prepare an operational plan, which should be holistic, clear, specific, flexible, clear, controlled, easy to manage and interrelated with the budget, is justified. The operational plan should encourage executors to act without confusion or misinterpretation of what should be done, how and when.

OSINT-Based LPC-MTD and HS-Decoy for Organizational Defensive Deception

This study aimed to alleviate the theoretical limitations of existing moving target defense (MTD) and decoy concepts and improve the efficiency of defensive deception technology within an organization. We present the concept of an open-source intelligence (OSINT)-based hierarchical social engineering decoy (HS-Decoy) strategy while considering the actual fingerprint of each organization. In addition, we propose a loosely proactive control-based MTD strategy that is based on the intended competitive exposure of OSINT between defenders and attackers. Existing MTDs and decoys are biased toward proactive prevention, in that they only perform structural mutation-based attack avoidance or induce static traps. They also have practical limitations, e.g., they do not consider security characterization of each organizational social engineering attack and related utilization plans, no quantitative deception modeling is performed for the attenuation of the attack surface through exposure to OSINT, and there is no operational plan for optimal MTD and decoy application within the organization. Through the applied deception concepts proposed here, the total attack efficiency was reduced by 287% compared to the existing MTD and decoys, while the artificial deception efficiency dominated by defenders was improved by 382%. In addition, the increase rate of deception overhead was also reduced by 174%, and an optimized deceptive trade-off was also presented. In order to enable an organization to utilize the OSINT concept, statistical error reduction, and MTD mutation cycle-based deceptive selectivity, it was introduced as a loose adaptive mutation rather than a preferential avoidance strategy, and an organization-specific optimization direction was introduced through a combination of HS-Decoy and LPC-MTD. In the future, in order to improve the operational reliability of the HS-Decoy and LPC-MTD-based combined model and standardize threat information for each organization, we intend to advance it into an international standard-based complex architecture and characterize it as game theory.