Gantt Chart Research Articles

Night life: Positional behaviors and activity patterns of the Neotropical kinkajou, Potos flavus (Carnivora, Procyonidae)

AbstractStudying positional behaviors is important for understanding how animals interact with their immediate environment. This is particularly important in arboreal species since arboreal milieus are primarily characterized by three‐dimensional problems that arboreal species must overcome to efficiently access resources. Similarly, a fundamental aspect of an animal's ecology is its daily activity pattern. This information is important for understanding the basic ecology of animal species and their eco‐evolutionary dynamics. This study sought to understand the habitat use and nocturnal lifestyle of the highly arboreal kinkajou (Potos flavus) by documenting variation in positional behaviors and activity patterns using 2223 photographs obtained from 27 camera traps in French Guiana. Data were analyzed using descriptive statistics, Kernel density estimation (KDE), and Gantt charts. Our results indicate that kinkajous show a strictly nocturnal activity pattern beginning from 19:00 h to 05:57 h, with peak active periods between 01:00 h and 02:00 h. The most frequent activities were scanning (48.33%) and traveling (47.13%). Quadrupedal walking (95.43%) was the main locomotor behavior during traveling. However, when crossing gaps between two substrates, kinkajous would either bridge (42.22%), leap (33.33%), or drop (26.67%) across gaps. Inactive periods were characterized by grooming (77.32%) and resting (27.84%) while mostly assuming a sitting (90.67%) or a catlike body curl posture (92.59%), interchangeably. This study highlights the broad array of positional behaviors displayed by kinkajous, further providing information to understand its basic ecology and eco‐evolutionary dynamics.

Quantum Tensor DBMS and Quantum Gantt Charts: Towards Exponentially Faster Earth Data Engineering

Earth data is essential for global environmental studies. Many Earth data types are naturally modeled by multidimensional arrays (tensors). Array (Tensor) DBMSs strive to be the best systems for tensor-related workloads and can be especially helpful for Earth data engineering, which takes up to 80% of Earth data science. We present a new quantum Array (Tensor) DBMS data model and new quantum approaches that rely on the upcoming quantum memory and demonstrate exponential speedups when applied to many toughest Array (Tensor) DBMS challenges stipulated by classical computing and real-world Earth data use-cases. We also propose new types of charts: Quantum Gantt (QGantt) Charts and Quantum Network Diagrams (QND). QGantt charts clearly illustrate how multiple operations occur simultaneously across different data items and what are the input/output data dependencies between these operations. Unlike traditional Gantt charts, which typically track project timelines and resources, QGantt charts integrate specific data items and operations over time. A Quantum Network Diagram combines several QGantt charts to show dependencies between multistage operations, including their inputs/outputs. By using a static format, QGantt charts and Quantum Network Diagrams allow users to explore complex processes at their own pace, which can be beneficial for educational and R&D purposes.

Разработка системы управления конфликтами в отделении реанимации и интенсивной терапии многопрофильного стационара с помощью LEAN-технологий: пилотное исследование.

Objective: to develop and evaluate the effectiveness of a conflict management system using the example of the intensive care unit of a multidisciplinary hospital Materials and methods. The study was conducted on the basis of City Clinical Hospital No. 1 named after. N. I. Pirogov, resuscitation and intensive care units in 2023. The study included 74 department employees‑42 medical (34 male (80.9%) and 8 female (19.1%), and 47 nursing staff: 12 male (25.3%) and 35 female (74.5%). In order to identify the presence of conflict situations (incidents), their causes and factors provoking them, questionnaires were developed: questionnaire 1—initial assessment (input) and questionnaire 2—assessment of the results of the proposed conflict management model. analysis of operational activities, a Gantt chart was drawn up for medical and paramedical personnel, a comparative and statistical analysis of the results was performed and an algorithm for making management decisions was developed. Results. A tool for identifying conflict situations in a universal electronic form has been created. According to the survey results: conflicts do occur, they are regular, and the participants in the conflicts are department employees. The main cause of conflicts is the conditions of daily operating activities and non-compliance with ethical and deontological standards. Losses in the provision of medical care were identified and assessed: defects in the provision of medical care (defects); waiting is the time before the provision of medical services; untapped potential of employees; transport losses. An algorithm for managing conflicts and preventing future incidents has been developed and implemented. Conclusions. The study demonstrated the need for clear organization of operational activities; formation of protocols for improving professional competencies; formation of a motivational system; creation of an information analytical system for control and monitoring of current processes.

Status and Challenges of Medical History Taking in Bangladesh and an Affordable Digital Solution to Tackle Them

Capturing patients’ medical histories significantly influences clinical decisions. Errors in this process lead to clinical errors, which increase costs and dissatisfaction among physicians and patients. Physicians in developing countries are overloaded with patients and cannot always follow the proper history-taking procedure. The challenges have been acknowledged; however, a comprehensive understanding of the status and the remedies has remained unexplored. This paper aims to investigate the workload, history-taking challenges, and the willingness of the physicians to accept digital solutions. A cross-sectional online survey was conducted on 104 physicians across Bangladesh, featuring 22 questions regarding their professional environment, workload, digitization status of health records, challenges in history taking, and attitudes toward adopting digital solutions for managing patient histories; 92.67% of the physicians face high workloads, 88.46% struggle in medical history taking, and only 4.81% use digital medical records. About 70% struggle to complete the necessary history-taking steps, emphasizing the urgent need for solutions. A novel visualization system, the Smart Health Gantt Chart (SHGC), has been introduced for their instant feedback. A total of 93.27% of physicians expressed their willingness to use such a system. The proposed SHGC has the potential to enhance healthcare efficiency in developing nations, benefit physicians, and improve patient-centered care.

Designing Social Media Marketing Strategies Targeting Generation Z for Subsidized Housing in Indonesia (A Case Study of Pt. Graha Putra Asido)

PT. Graha Putra Asido, a housing company in Pematangsiantar, focuses on subsidized housing but lacks a targeted marketing strategy, with only 22.22% of their buyers being Generation Z despite this group dominating Indonesia’s subsidized housing program. To avoid market loss and capitalize on Gen Z’s significant social media usage, this research is done, aiming to propose appropriate marketing strategies tailored to Generation Z preferences and behaviors to enhance PT. Graha Putra Asido’s market reach and engagement, using the P.O.S.T method and a touch on P.O.E.M Strategies. Through a mixed-method approach, including a market survey and key informant interviews, the study explores Gen Z’s social media patterns, preferences, and the company’s current marketing strategies. The research concludes with a comprehensive plan, including a Gantt chart, to achieve three main objectives by implementing targeted social media strategies, such as optimized posting schedules, platform-focused content, engaging visuals, influencer partnerships, and interesting campaigns tailored to Generation Z preferences.

Application of the “Plan-Do-Check-Action” plan in improving the pass rate of the “National Medical Licensing Examination”

BackgroundThe National Medical Licensing Examination (NMLE) is the only objective, standardized metric to evaluate whether a medical student possessing the professional knowledge and skills necessary to work as a physician. However, the overall pass rate of NMLE in our hospital in 2021 was much lower than that of Peking Union Medical College Hospital, which was required to be further improved.MethodsTo find the reasons for the unsatisfactory performance in 2021, the quality improvement team (QIT) organized regular face-to-face meetings for in-depth discussion and questionnaire, and analyzed the data by “Plato analysis” and “Brainstorming method”. After finding out the reasons, the “Plan-Do-Check-Action” (PDCA) cycle was continued to identify and solve problems, which included the formulation and implementation of specific training plans by creating the “Gantt charts”, the check of effects, and continuous improvements from 2021 to 2022. Detailed information about the performance of students in 2021 and 2022, and the attendance, assessment, evaluation and suggestions from our hospital were provided by the relevant departments, and the pass rate-associated data was collected online.ResultsAfter the PDCA plan, the pass rate of NMLE in our hospital increased by 10.89% from 80.15% in 2021 to 91.04% in 2022 (P = 0.0109), with the pass rate of skill examination from 95.59% in 2021 to 99.25% in 2022 (P = 0.0581) and theoretical examination from 84.5% in 2021 to 93.13% in 2022 (P = 0.027). Additionally, the mean scores of all examinees increased with the theoretical examination score increasing from 377.0 ± 98.76 in 2021 to 407.6 ± 71.94 in 2022 (P = 0.004).ConclusionsOur results showed a success application of the PDCA plan in our hospital which improved the pass rate of the NMLE in 2022, and the PDCA plan may provide a practical framework for future medical education and further improve the pass rate of NMLE in the next year.

A Retrospective Case Series of Stenotrophomonas maltophilia at an Acute Care Hospital in Alabama, July-November 2023

Background: In August 2023, an infection preventionist at an acute care hospital in Alabama recognized an increase in cases of Stenotrophomonas maltophilia, which is an emerging pathogen in clinical settings worldwide. It was not until the facility identified the pathogen in their water system in October that it was reported to ADPH as an outbreak. The outbreak investigation was brief due to the hospital’s rapid containment response and adherence to its established water management program (WMP). As a result of inappropriate antibiotic use in hospitals, pan-resistant strains have been increasing at an alarming rate. The pathogen can employ water used in hospital settings to cause a variety of nosocomial infections, including those found in the blood, respiratory tract, urinary tract, and on the skin. Hospitalized patients, especially those with immunocompromising conditions or implanted medical devices, are at increased risk of significant morbidity and mortality. The aim of this study was to better understand the clinical and demographic characteristics of the 13 case-patients identified during this investigation. Methods: A retrospective case series was conducted by reviewing medical records for case-patients with culture-confirmed S. maltophilia admitted between July and November. The CDC Healthcare-Associated Infection Outbreak Investigation Abstraction Form was used to systematically collect details about each case-patient’s hospitalization and course of illness. A Gantt chart was developed in Microsoft Excel to illustrate key events during their hospitalization. Results: Of the 13 case-patients, 69% were male and the median age was 69 years (range: 30 to 77). All S. maltophilia infections were hospital-acquired (>3 days after admission) with 92% being respiratory and 46% resistant to more than one class of antibiotics. All case-patients were admitted to the ICU and had known risk factors associated with developing S. maltophilia infection, including intubation (100%) and receiving antibiotic therapy prior to infection (77%). Other major risk factors included invasive surgery (77%), co-infections (77%), chronic respiratory disease (62%), hypertension (54%), and renal failure (31%). All were severely immunocompromised. Forty-six percent of the case-patients died from complications associated with their illness. Conclusion: This is the first S. maltophilia outbreak reported in Alabama. The findings of this case series underscored the importance of employing strict infection prevention measures to reduce poor health outcomes and how strong antibiotic stewardship programs are needed to limit transmission among vulnerable patient populations in these settings. It is recommended that hospitals conduct routine environmental sampling and have a WMP that is effective in limiting S. maltophilia.

Classification of Cocoa Beans Based on the Grade Level of Fermentation using KNN Algorithm

Objectives: This study aims to develop a cacao bean fermentation prototype, specifically this study covers: (1) Development of cacao bean fermentation device using Arduino microcontroller, (2) Creating a model that will be used in evaluating the fermented cocoa bean using KNN Algorithm, and (3) Evaluating the developed system using the ISO 9126 software quality model in terms of functionality, reliability, usability, efficiency, maintainability, and portability. Methodology: The researcher collected, presented, and analyzed the necessary data and information to address the research objectives. Reasons and justifications for the Developmental Model, Gantt chart, Data Gathering Procedure and Technique, Context Diagram, Data and Process Model, and Schematic Diagram are given. Findings: This study aimed to address these issues by automating the cacao bean fermentation process. A novel device was created and assessed using ISO 9126 and the K-Nearest Neighbor algorithm. The results demonstrated excellent performance in functionality (4.77), reliability (4.56), usability (4.58), efficiency (4.6), maintainability (4.6), and portability (4.56). The device effectively mixed cacao beans during fermentation and achieved an 85.3% accuracy rate in image classification. Novelty: In comparison to existing methods, the device surpassed expectations in terms of fermentation control and software reliability. Overall, the developed Cacao Bean Fermentation Device significantly enhances functionality and control, ensuring consistent quality in chocolate production. Keywords: Arduino Microcontroller, KNN algorithm, Image Analysis, Cacao Bean Fermentation

Practical exercises of computer-aided process synthesis for chemical engineering undergraduates

The study presents ten different exercises covering various computational tools. These exercises are practical applications presented to improve the understanding and skills of students in important concepts of chemical-aided process synthesis. A few exercises aim to build a foundation in computational techniques for chemical engineering undergraduates. The exercises are based on a spreadsheet that covers the design of regression analysis to find the optimum Antoine constants, array calculation for multicomponent distillation material balance, and the generation of a Gantt chart to plan and study the activities of batch processes. The other exercises included an introduction to process simulation, simulation, and reactor rating, and a simulation of multicomponent shortcut distillation. These exercises provide students with hands-on experience in utilizing process simulation software essential for analysing and optimizing chemical processes in real-world scenarios. The exercises also included the design of a heat exchanger network and solving a linear programming problem. An anonymous survey was collected from the cohort that had undergone the exercises, and the practical grades were compared with the batch that did not study the proposed exercises. Additionally, student feedback on practical exercises was collected. Based on the experience of the course coordinator and the collected feedback from participants, it was clear that the exercises helped students to inculcate critical thinking and self-learning abilities. An article essentially sheds light on the computer-aided practical exercises that enable chemical engineering graduates to engage in lifelong learning.

Cost Overrun and Delays in Construction Management by Using Primavera

Abstract: Project management is the practice of organizing, planning, carrying out, overseeing, and wrapping up a team's work in order to accomplish particular objectives and satisfy particular success criteria within a given time frame. Each project is unique, and managing it is necessary to meet the project's need for increased productivity. Notwithstanding the centuries-long evolution of the construction industry and the decades-long quest for novel solutions by researchers, a variety of obstacles still need to be overcome in order to improve the speed, safety, affordability, and accuracy of the construction process. Utilizing a program called Prima Vera p6, which is a tool for project planning and progress tracking, the study focuses on an ongoing residential building construction project (G+5) . This project is a G+5 storey residential building with a rectangular shape RCC framed construction with a total size of 1391 Sq. Mtr. And the floor height is 3m. We used Primavera to calculate project quantities, schedule, and estimate the project. We created a Gantt chart and a network diagram for this project and completed it in a timely and cost-effective manner. It gathers all relevant data from the relevant agencies and closely monitors the work processes. Through our work on it, we have learned a great deal about the challenges that businesses encounter on a daily basis. Though every project is unique, as I've already shown, we may learn from our mistakes and prevent them in future endeavors. Using Primavera P6, a project management tool, a comparison of the original and actual time and cost is conducted in this study. The project monitoring process itself might not be completed effectively even with well-established planning and policies.

Multicriteria-decision support for master plan scheduling: urban regeneration of an industrial area in Northern Italy

Urban regeneration programs involve a series of intricate activities that utilize human, material, and financial resources, executed at varying times and in diverse manners. Within this complex scenario, a major challenge lies in effectively managing concurrent developments across multiple buildings and infrastructure projects, while also harmonizing the interests of all parties engaged in urban regeneration initiatives. This paper introduces a multi-step strategy designed to enhance and streamline urban management amid the multifaceted decision-making processes characteristic of urban regeneration efforts. Specifically, the multi-criteria decision-making model ELECTRE TRI-B is employed to sort the array of basic tasks within a complex transformation endeavor into priority groups based on various evaluative criteria. To ascertain the significance of these criteria and rank each task according to the interests of the stakeholders likely to be impacted, a panel of specialists, including construction experts, economists, and environmental assessors, is convened. Following this, project actions are organized in a Gantt chart reflecting the construction priority determined by the evaluation model. This approach facilitated the temporal organization of master plan activities, incorporating insights from a broad spectrum of experts including municipal technical staff, professionals, and the community at large. The findings indicate that this comprehensive and interactive approach to performance measurement enabled the handling of extensive datasets and the refinement of financial, economic, environmental, and social resources, all while adhering to logical constraints and urban policy demands.

Application of Gantt Chart as a Strategy for Improving Performance of Community Based Projects in Bugoma County, Kenya

Application of Gantt Chart as a Strategy for Improving Performance of Community Based Projects in Bugoma County, Kenya

How experienced robotic nurses adapt to the Hugo™ RAS system

No studies have reported on the impact at team level of the Medtronic Hugo™ RAS system. We described the work patterns and learning curves of an experienced robotic nurse team adapting to the new robotic system. We prospectively recorded the robotic nurse team’s preoperative, perioperative, and postoperative tasks on the first 30 robotic procedures performed. The data were descriptively analyzed, and Gantt Charts were created for a timeline overview of the work patterns. We compared the operative times between the Medtronic Hugo™ RAS and the Davinci® system. The preoperative phase seemed to improve with a median time of 94 min (IQR 81–107). After 20 surgeries, the work pattern became more consistent where the scrub and circulating nurses worked simultaneously. There was no noticeable improvement for the perioperative and postoperative phases with a stable median time of 170 min (IQR 135–189) and 26 min (IQR 22–31). We found that the work pattern seemed to stabilize after 20 surgeries but with a continued decrease in preoperative time without a learning curve plateau. The robotic nurse team suffered from few breaks and long working hours because only a few nurses at our facility were trained in the Hugo™ system.

SOSTAC framework analysis for enhancing digital marketing in Yogyakarta's Art Music Today

This research utilizes a qualitative descriptive methodology, employing the SOSTAC model to analyze Art Music Today (AMT). The study follows six structured steps, starting with a SWOT-based Situation Analysis highlighting AMT's strengths as a unique Yogyakarta entity. Strategic objectives are set using the 5s Framework, focusing on digital marketing elements like online sales optimization and user experience. The Strategy phase emphasizes STP marketing, presenting AMT as a tailored music information center. Tactics, guided by the 7P framework, include product diversification and pricing strategies, contributing to an enhanced user experience. An 18-month action plan, depicted in a Gantt chart, guides implementation from content creation to streamlined processes. The Control phase involves monitoring with Google Analytics and social media evaluation. Through leveraging strengths and addressing weaknesses, AMT positions itself for growth in the digital landscape, using the SOSTAC model as a robust framework for digital marketing excellence. As a suggestion, through a proactive approach to leveraging inherent strengths and addressing weaknesses, AMT aims for significant growth in the dynamic digital environment. Aligning its digital marketing efforts with the SOSTAC model, which covers Situational Analysis, Objectives, Strategy, Tactics, Action, and Control, ensures a comprehensive understanding of current market dynamics. This strategic alignment establishes the foundation for a well-defined and actionable digital marketing strategy.

Useful Project Management Practices in Collaborative R&D&I Projects

Collaborative Research and Development and Innovation (R&D&I) projects make an essential contribution to the development of knowledge-based, innovative products, processes, and services. The main objective of this paper is to gain a comprehensive understanding of project management (PM) in collaborative R&D&I projects, examining the usefulness of PM practices. The results are based on 465 valid responses from an online questionnaire survey on the perceptions of collaborative R&D&I project practitioners. The Relative Importance Index was used to classify the usefulness of the 35 key PM practices surveyed. The top 10 rank of the most useful PM practices cover the entire PM lifecycle and include well-known practices, such as ‘kick-off meeting’, ‘progress meetings’, ‘Gantt chart’, ‘project closure report’, ‘project closure meeting’, ‘milestone list’, ‘requirement analysis’ and ‘project scope plan’. Although, there are also less emphasised PM practices such as ‘alignment workshops’ and ‘project idea paper’. The paper contributes to supporting practitioners to decide which PM practices should be prioritised and implemented.

СОПРОВОЖДЕНИЕ ВЫВОДА ИЗ ЭКСПЛУАТАЦИИ ЯДЕРНЫХ УСТАНОВОК С ПРИМЕНЕНИЕМ ЦИФРОВЫХ ПРОДУКТОВ

The article discusses the development of a digital product for the decommissioning of nuclear and radiationhazardous facilities at the conceptual level. The need for such development is conditioned by the fulfillment of the requirements for import substitution of software in strategically important sectors of the Russian Federation, the importance of ensuring information security (data in the project is often marked «For official use») and the availability of additional functionality for specific projects that is not provided in other applications. The authors describe the features of nuclear decommissioning projects and form functional requirements for the digital product, proposing architectural patterns. In particular, the clientserver architecture with microservices was chosen for the development of this digital product. Main technologies and methodologies for the clientside application (frontend) include HTML, CSS, React, and FeatureSliced Design. JavaScript and TypeScript languages used to create the frontend of the application. To organize the backend, it is recommended to use Docker, Nest.js, and Node.js. Data storage is handled using the PostgreSQL database and S3 cloud storage. Using the example of one of the modules (Gantt Chart) of the digital product, the methods and libraries used are described in detail. Overall, the combination of these technologies ensures that the digital product is importindependent and meets all the requirements for successful development.

ВЫБОР ОПТИМАЛЬНОГО ПРОГРАММНОГО ПРОДУКТА ДЛЯ КАЛЕНДАРНОГО ПЛАНИРОВАНИЯ СТРАТЕГИИ РАЗВИТИЯ КОМПАНИИ

Management as well as the use of software for scheduling the project company’s strategy are vital components of an organization’s economic sustainability. When working on a project, modern managers frequently employ visual aids such as task diagrams. The Gantt chart is a highly effective type of diagrams. Many project companies now include software products for designing Gantt charts as a key tool in their technical scope. The article presents the results of a study using the Choice («Vybor») decision support system. Thomas Saaty’s mathematical method of analytic hierarchy process implies the selection of the most favorable choice in decision-making. Using the analytic artifi cial intelligence system, the choices were ranged in a form of software products for building Gaant charts, and the most effective software decision was selected.

Monitoring the share of barren rock in extracted run-of-mine using digital deposit model and mine structural model – case study

This paper explores the utilization of mine structural models in optimizing operations at the “Pniówek” coal mine, focusing specifically on monthly data regarding the proportion of barren rock extracted alongside coal and its origins. Highlighting the significance of monitoring barren rock extraction in underground mining, with “Pniówek” serving as a case study, the article delves into the adverse effects of excessive barren rock in the Coal Mechanical Processing Plant feed and its consequent impact on daily plant performance. Furthermore, it elucidates the journey of excavated material from longwall extraction through processing plant operations to the final products. Subsequently, the paper presents a detailed analysis of coal yield, its composition, and a graphical representation of gangue proportions using Gantt charts. Additionally, it provides insights into forecasting gangue proportions in extraction, along with methods for interpreting and leveraging the obtained information for further operational optimization.

Deep Reinforcement Learning for Solving Allocation Problems in Supply Chain: An Image-Based Observation Space

Resource planning and management are essential strategic practices in the supply chain. Resource allocation problems are becoming more complex due to the dynamic nature of these logistical systems. Since the increasing popularity of Deep Reinforcement Learning (DRL) algorithms in Gaming and Robotics, scholars have started investigating their potential for addressing supply chain concerns. The utilization of DRL-based approaches for addressing supply chain optimization problems remains largely unexplored. Therefore, we present a systematic literature analysis to investigate the adoption of DRL solution techniques for solving supply chain optimization problems. Afterward, we propose a novel method to address allocation problems in the supply chain founded on DRL-based algorithms, namely Asynchronous Actor critic (A3C) and Proximal Policy Optimization (PPO). A simulation model is developed to train and evaluate the application of these algorithms. We transform numerical data from the simulation into Gantt charts and pass them as observations. This formulation of the observation space is motivated by the fact that Deep Neural Networks (DNNs) are well-suited for image-based analysis. The computational results demonstrate that both algorithms successfully learn allocation policies using image-based observation considering multiple objective values. The results of the conducted experiments indicate that A3C achieves a more stable allocation policy than PPO in minimizing all considered objective values.

АДМІНІСТРАТИВНИЙ МЕНЕДЖМЕНТ В УПРАВЛІННІ ІНВЕСТИЦІЙНИМИ ПРОЄКТАМИ

The purpose of the article is to study the impact of administrative management on the implementation of projects in investment activity. Administrative management acts as an organiser of project activities in the investment sphere. The authors have analysed the algorithm of administrative management and identified its components that should be applied in the practice of investment activity. The research methodology used was a systematic approach and a structural analysis, as well as the method of comparison. The process of administrative management of an investment project has been presented as a sequence of steps or stages, which include planning, organisation, execution and control. A general outline of this process is provided hereunder. This process can be iterative, with changes and adjustments made at different stages of the project depending on changes in internal and external conditions. The main goal of investment project administration is to ensure the efficient use of resources and the achievement of project goals. Developing an investment project charter is an important step in the process of project preparation and implementation. The charter is a document that formalises the main aspects of the project, its goals, terms and conditions, and the procedure for its implementation. Here are some key elements that are usually included in an investment project charter: project name and description; goals and objectives; management structure; budget and financial terms; implementation schedule; implementation conditions; reporting and monitoring system; termination conditions. An analysis of the investment project and business plan is provided in the article. Administrative management in the investment projects management includes the use of various tools and methods to ensure effective planning, organisation, control and implementation of projects. Key administrative management tools that can be used to manage investment projects are as follows: SWOT analysis; PESTLE analysis; Gantt chart; RACI responsibility matrix; project management methodologies are: Methodologies such as PMBOK (Project Management Body of Knowledge), PRINCE2 (Projects in Controlled Environments), Agile, Scrum; customer relationship management systems (CRM); financial analysis and control.