Actual Cost Research Articles

ANALYSIS OF THE USE ACTIVITY BASED COSTING IN DETERMINING TUITION FEES

Numerous educational institutions in Indonesia suffer financial deficits, negatively impacting educational quality. This study aims to ascertain the Tuition Fees at Nurul Fajri Islamic Boarding School Majalengka utilizing the Activity-Based Costing (ABC) method. It investigates the application of the ABC method in determining Tuition Fees within educational foundation institutions, a novel approach, particularly for pesantren foundations. The research adopts a qualitative methodology with a problem-focused approach. Data collection involved interviews and an analysis of pertinent financial and operational documents. Cost activity data was processed using ABC costing, resulting in tuition fees calculations based on the ABC method. These calculations were then juxtaposed with the Tuition Fees established by the school administration. The analysis identified a cost discrepancy (undercharging), where the cost per student exceeded the total Tuition Fees income and School Operational Funds (SOF) or Government Subsidy. For junior high school grades 1, 2, and 3, the differences were Rp 68,092, Rp 65,877, and Rp 85,668, respectively. For high school levels 1, 2, and 3, the discrepancies were Rp 6,674, Rp 49,014, and Rp 51,354, respectively. The study recommends that the school increase the monthly tuition fees to adequately cover the actual costs of education.

Grid-neutral hydrogen mobility: Dynamic modelling and techno-economic assessment of a renewable-powered hydrogen plant

The seasonally varying potential to produce electricity from renewable sources such as wind, PV and hydropower is a challenge for the continuous supply of hydrogen for transport and mobility. Seasonal storage of energy allows to avoid the use of grid electricity when it is scarce; storage systems can thus increase the resilience of the energy system. For grid-neutral and renewable hydrogen production, an electrolyser is considered together with a Power-to-Gas seasonal storage system, which consists of a methanation, the gas grid as intermediate storage and a steam reformer. As feed stream, electricity from an own photovoltaic (PV) system is considered, and for some cases additional electricity from the grid or from a wind turbine. The dynamic operation of the plant during a year is simulated. It is possible to safely supply fuel cell vehicles with hydrogen from the grid-neutral plant without using electricity when it is scarce and expensive. To supply 135 kgH2/day, unit sizes of 1 MW–2.9 MW for the PV system and 0.9 MW–2.6 MW for the electrolysis are required depending on the amount of available grid-electricity. The usage of grid-electricity increases the capacity factor of the electrolysis, which results in decreased unit sizes and in a better economic performance. Seasonal storage of energy is required, which results in an increased hydrogen production in summer of approximately 50% more than directly needed by the fuel cell vehicles. The overall efficiency from electricity to hydrogen is decreased due to the storage path by 10%-points to 56% based on the higher heating value. Assuming a cost-equivalent hydrogen price per driven kilometre in comparison to the actual diesel price and electricity costs of 10 Ct/kWhel from the grid, the revenues of the system are higher than the operating costs.

Integrated Design Optimization Process for Building Projects

In this study, a cost-design optimization is conducted for a reinforced concrete structure with irregular voids and inclined axes, which is a real-world application. Data transfers are performed on a 3D model to achieve the optimization. Data exchange is managed automatically by the created software program. As an application example, a hospital building with 10 beds is considered. Optimum design and minimum cost values are obtained for optimization processes using the Rao algorithms. The construction cost values are compared both among algorithms and with actual cost values, indicating a successful optimization process. The software program developed in this study accelerates the processes in optimization operations, thereby contributing to the realization of automatic data transfers.

The issue of admissibility of applying reliefs (discounts) and bonuses by insurers in determining the amount of compensation for damage to a motor vehicle of the injured. A gloss to the resolution taken by the seven judges of the Supreme Court of 8 May 2024, ref.: III CZP 142/22

The subject of this gloss is the judgment of the Supreme Court of 8 May 2024, reference III CZP 142/22, concerning the determination of compensation to be paid by an insurance company to the injured party under a civil liability insurance contract for owners of motor vehicles. The judgment addresses the question whether is admissible that insurance companies apply discounts when determining the amount of compensation for the injured party's motor vehicle. The issue in question is of significant importance for insurance practice, as for several years the admissibility of this type of activities by insurance companies has been raised in the jurisprudence of common courts and it also has been subject of considerations in the doctrine. Ununified insurance practice often led to compensation being set at a lower amount than the actual costs of vehicle repair, which in turn gave rise to disputes between the injured party and the insurance company. The gloss only refers to two theses of the judgment of 8 May 2024, as the statement of reasons thereof has not been published upon submitting this gloss for publication.

A meta-analysis on the effects of marker coverage, status number, and size of training set on predictive accuracy and heritability estimates from genomic selection in tree breeding

Genomic selection (GS) is increasingly used in tree breeding because of the possibility to hasten breeding cycles, increase selection intensity or facilitate multi-trait selection, and to obtain less biased estimates of quantitative genetic parameters such as heritability. However, tree breeders are aiming to obtain accurate estimates of such parameters and breeding values while optimizing sampling and genotyping costs. We conducted a metadata analysis of results from 28 GS studies totalling 115 study-traits. We found that heritability estimates obtained using DNA marker-based information for a variety of traits and species were not significantly related to variation in the total number of markers ranging from about 1500 to 116 000, nor by the marker density, ranging from about 1 to 60 markers/centimorgan, nor by the status number of the breeding populations ranging from about 10 to 620, nor by the size of the training set ranging from 236 to 2458. However, the predictive accuracy of breeding values was generally higher when the status number of the breeding population was smaller, which was expected given the higher level of relatedness in small breeding populations, and the increased ability of a given number of markers to trace the long-range linkage disequilibrium in such conditions. According to expectations, the predictive accuracy also increased with the size of the training set used to build marker-based models. Genotyping arrays with a few to many thousand markers exist for several tree species and with the actual costs, GS could thus be efficiently implemented in many more tree breeding programs, delivering less biased genetic parameters and more accurate estimates of breeding values.

A practical and robust approach for solving the multi‐compartment vehicle routing problem under demand uncertainty using machine learning

AbstractThe multi‐compartment vehicle routing problem is an extension of the vehicle routing problem and consists of designing a set of routes to perform the collection or delivery of different product types from customers with minimal costs. The product types are incompatible with each other and must be transported separately in multiple compartments. In practice, several uncertainties such as uncertainty in demands can arise, where the exact demand of customers is not known at the time of planning. To deal with these uncertainties, decision‐makers have to rely on robust solutions. A solution is considered robust when it can resist perturbations in every possible demand scenario as much as possible. In the day to day business of most logistic companies, historical data about each customer can be stored and used to make intelligent decisions regarding the expected demands. In this article, we propose an adaptive large neighborhood search for solving the robust multi‐compartment vehicle routing problem under demand uncertainty and present a robust solution approach for the problem in practical settings by employing machine learning. We show that by using our approach, the solutions obtained have lower recourse costs and have a lower gap between expected and actual costs, which is a favorable outcome to have in practice.

Valuation and perception of the costs of climate change on health.

Climate change affects our societies and lives through our economies, our livelihoods, and our health. Economic losses of climate change are estimated at $23 trillion, largely through externalities due to premature mortality, healthcare expenditure, and health-related work losses. Even if there are established methods to quantify the health economic burden, there is limited information on how people perceive this information. The current study aimed to examine different health cost evaluation methods and observe perceptions of stakeholders in the climate change context. The participatory research approach of the World Café with 41 participants was applied to explore four topics associated with valuing the costs of climate change. The data were analyzed following an inductive approach. Despite the willingness-to-pay approach being widely applied, many experts see actual healthcare costs as a more explicit indicator of costs; however, this approach might underestimate actual costs. Participants experienced difficulties accepting and understanding cost estimates that indicated very high externalities as a percentage of gross domestic product. The cost-effectiveness of mitigation and adaptation measures was also challenged by a concern that while the costs of such measures are incurred now, the benefits do not come to fruition until later, for example, when building bike lanes or dams. Policies should favor environmentally friendly activities such as making cycling more convenient in cities with the health benefits presented in monetary terms, while limiting car driving. Moreover, the public might better understand the costs of climate change via tools that map how solutions influence different sectors and outlining the costs in evaluating the benefits for health and the environment.

In-hospital and long-term outcomes of cardiogenic shock complicating myocardial infarction versus heart failure.

This study sought to examine the difference in clinical characteristics, treatment strategy, trends in mortality, and medical costs according to the aetiologies of cardiogenic shock (CS). This was a population-based, nationwide, cohort study from the Korean National Health Insurance Service database. All CS adults (≥18 years) were admitted to an intensive care unit from January 2010 to December 2020. The primary outcome was in-hospital mortality. The secondary outcomes were cardiac replacement therapy (left ventricular assisted device implantation or heart transplantation), all-cause mortality, ischaemic stroke, rehospitalization for heart failure (HF) during follow-up, and actual in-hospital medical costs. Among 136 092 individuals with CS, 48 704 (29.7%) cases were due to acute myocardial infarction-related CS (AMI-CS), and the remaining 87 388 (71.3%) were due to HF-CS (ischaemic cardiomyopathy [ICM] vs. non-ICM, 49 504 [56.6%] vs. 37 884 [45.4%]). Patients with HF-CS were older, less likely to be male, and less likely to receive mechanical circulatory support, compared to those with AMI-CS. During the 10-year study period, the in-hospital mortality rate decreased, and actual medical costs tended to increase, regardless of CS aetiology. Compared with AMI-CS, HF-CS was associated with higher risks of in-hospital mortality (40.3% vs. 28.5%; adjusted odds ratio [OR] 1.47, 95% confidence interval [CI] 1.43-1.52), cardiac replacement therapy (adjusted OR 1.65, 95% CI 1.16-2.34), as well as follow-up mortality after successful discharge (19.3% vs. 8.5%; adjusted-hazard ratio 1.54, 95% CI 1.48-1.59). HF-CS had lower medical costs than AMI-CS (adjusted ratio 0.79, 95% CI 0.79-0.80). With medical advances during the past 10 years, the mortality of CS has decreased significantly, but the mortality of HF-CS remains high. The findings highlight the need for effective treatment strategies for patients with HF-CS.

Cost comparison of four venous catheters: Short peripheral catheter, Long peripheral line, Midline, and PICC for peripheral infusion

Introduction: The use of midline catheters for patients requiring a peripheral IV infusion is sometimes limited by their cost. Although decision trees allow them to be positioned in relation to short peripheral cannulas (SPC), Midlines, and PICCs, their economic impact has not yet been evaluated. A study was conducted to estimate and compare the actual costs of using the three types of catheters for durations of 7, 14, and 21 days. Methods: A budget impact analysis compared midlines or mini-midlines/long peripheral cannulas (LPCs) with SPCs and PICCs for typical medical indications excluding indications requiring central line (infusion of irritant or vesicant drugs): treatment of peritonitis over 7 days, cystic fibrosis infection over 14 days, and meningitis over 21 days. A micro-costing study identified resources used during catheter care procedures (consumables, medical/nursing care, examinations, mechanical complications). The cost of remote systemic complications was estimated from the French national cost study. Literature review compared data based on published complication frequencies. Results: Midline is more economic than the SPC (saving of 39€ over 7 days and 174€ over 14 days), and than the PICC (saving of 102€ over 14 days and 95€ over 21 days). Discussion: Despite a much higher acquisition cost of the Midline than a SPC, the cost of using a Midline is lower. Although this approach cannot be the only argument for choosing a medical device, it can contribute to it in a tense economic context. The micro-costing has been performed in a center placing PICCline using fluoroscopy for catheter tip positioning. The implantation of a PICC with ECG technique does not require an interventional radiology facility and involves significantly lower logistical and personnel costs. This factor is a limitation in this study. However, even with the use of EGC, the cost difference is in favor of Midline.

Breaking the Sisyphean loop: reconceptualizing the treatment of risk and uncertainty in transport projects

Worldwide transport projects repeatedly exceed their budgets. This problem has received widespread attention over several decades, with little progress made to improve project cost performance. Consequently, this has led to the emergence of the following recurring question: How can public agencies responsible for delivering transport projects improve the estimation accuracy of their actual construction costs? We use the metaphor of the Sisyphean task to assist us in suggesting that the conflation of risk and uncertainty results in an inability to estimate actual construction costs accurately. Ambiguity aversion, an illusion of certainty, and the repeated occurrence of cost deviations, as demonstrated by our illustrative example and analysis of the elemental cost models of 39 transport projects, collectively create a Sisyphean loop that is impossible to break. Thus, we question the prevailing conceptualisation and treatment of risk and uncertainty used to estimate the actual construction costs of projects. We offer a new theoretical lens framed around ecologically rational heuristics and provide suggestions to reconceptualize and recalibrate the treatment and assessment of uncertainty in cost estimates. We hope this paper provides a much-needed circuit breaker to public agencies’ prevailing treatment of risk and uncertainty and stimulates new lines of inquiry to improve the cost performance of transport projects.

Antenatal cardiotocography in primary midwife-led care: a budget impact analysis

ObjectivesIn many countries, the healthcare sector is dealing with important challenges such as increased demand for healthcare services, capacity problems in hospitals and rising healthcare costs. Therefore, one of the...

Product Design Cost Estimation for Make-to-Order Industry: A Machine Learning Approach

This research addresses the need for accurate design cost estimation in the Make-To-Order (MTO) industry. The complexity of product customization is key to differentiation. While many studies focus on manufacturing cost estimation, few explore design cost estimation. To improve the accuracy of design cost estimation, this research proposes a new cost driver based on design features available in Computer-Aided Design (CAD) data. The design feature is analyzed to the actual industry cost using machine learning methods, including Artificial Neural Networks (ANNs) and Support Vector Regression (SVR). The cost drivers identified as significant consisted of twenty-six 3D CAD features and four 2D CAD features. The results showed that the ANN models outperformed the SVR models in correctly estimating product design costs, as evidenced by the high R2values in the training and testing phases. The proposed method allows early identification of cost drivers, a significant advantage at the order initiation stage when detailed design features are often ambiguous. The novelty of this research is the use of 3D CAD technology for cost estimation, which quantifies costs based on product design complexity, providing valuable insights into the impact of design adjustments on costs early in the design process. Doi: 10.28991/ESJ-2024-08-03-022 Full Text: PDF

Developing a cost estimation model for efficient road improvement planning: A case study in Aceh Jaya regency

Abstract Estimation is a method used to predict financial requirements by analyzing, calculating, and engineering based on field conditions and bidding documents. To enhance efficiency, there is a pressing need for a simple, swift, accurate cost estimation model. Therefore, this study aimed to establish cost estimation model at the initial planning phase of construction work and to assess its accuracy in estimating cost for road improvement using cost significant model (CSM) compared to actual expenses. The fundamental objective was to facilitate the execution of construction work, ensuring the successful completion. Data collection occurred at the (PUPR) in Aceh Jaya Regency, consisting of 25 contracts for road improvement work spanning from 2018 to 2022. The data included the execution year, road area, total variable cost (y), and the categorization of work item as independent variables (xn). Subsequently, the work data was transformed into data per square meter (m2) for each work item by dividing each independent variable by the area of road improvement work. This showed the cost/m2 for each work item (xn) and the total cost (y)/m2. Annual inflation data was obtained from (BPS) of Aceh province used for calculation projection year. The identification of cost-significant item variables occurred after organizing the data according to work item, adjusting the work cost for the execution year and the work-year cost while considering inflation factor. Additionally, it was observed that 3 most expensive work items represented 80% work item had a substantial impact on the total cost. Classic assumption tests were conducted to confirm the suitability of data for further analysis. The analysis was conducted using multiple linear regression, resulting in a model with y = 69850.515 + 0.879(x4) + 1.085(x5) + 1.221(x7). When cost significant model estimates were compared to the actual total cost of road improvement in Aceh Jaya, the accuracy ranged from +17.46% to -19.30%, which was consistent with Class 3 classification of (AACE) International standards.This classification was suitable for semi-detailed cost estimation in the conceptual phase.

Évaluation des dépenses du circuit des produits de santé dans le cadre d’études institutionnelles – Étude de cas au CHU de Toulouse

Clinical research faces complex and unpredictable budgetary challenges, despite its central role in the development of healthcare products. This retrospective study examines the estimated and actual costs of 13 trials managed by the Clinical Trials Coordinating Pharmacy at the University Hospital of Toulouse. It aims to assess the accuracy of estimates, identify trial-influencing events and identify budget adjustment variables. The results show that only two of the 13 studies stay within their initial estimates, with most exceeding their projected margins. Costs vary by area, with shipping and packaging in particular exceeding the initial budget, while distribution costs are more accurately estimated. Several factors influence costs, including study duration, centre locations, number of enrolments, product stability and protocol amendments. Extending the study duration leads to increased costs in all areas, while reducing the number of inclusions tends to be in line with the original budget. In conclusion, budget management in clinical trials is complex due to numerous influencing variables. Careful planning and consideration of the specifics of each trial are crucial for more accurate estimates and budget adherence. This study enhances the understanding of the financial challenges faced by institutional sponsors of clinical trials and contributes to the refinement of budgeting methods for future clinical trials.

Estimated Cost And Time For Completion Of The Bali GX Office And Co Working Project Using The Earned Value Method

The GX Office & Co Working Bali construction project faced significant delays in the 27th week with a deviation of -4.31%, which could result in increased costs and delays in completion. So, an effective solution is needed to overcome project delays and ensure that the project is completed on time and within budget. This research aims to examine the application of the Earned Value Method (EVM) in evaluating the performance of the GX Office & Co Working Bali project by calculating the Estimated Temporary Schedule (ETS), Estimated All Schedule (EAS), Estimate Temporary Cost (ETC) and Estimate All Completion (EAC). The research uses descriptive quantitative methods by collecting data from weekly project progress reports, actual costs, and planned values. Data analysis was carried out by calculating Planned Value (PV), Earned Value (EV), Actual Cost (AC), Cost Performance Index (CPI), Schedule Performance Index (SPI), ETS, EAS, ETC, and EAC. The research results show an ETS value of 114 days with an EAS of 303 days. So, there is an additional time of 9 days from the planned schedule. ETC results amounted to IDR 3,723,631,710.12, with EAC amounting to IDR 7,699,818,710.12. So, the cost of completing the project is lower than planned, with a difference of IDR 2,545,727,760.88. The results of this research contribute to the project management literature by showing the effectiveness of EVM in identifying deviations and the basis for making strategic policies needed so that projects can be completed on time according to plan.

주택 매매 및 임대차 시장의 단기균형 모형

In this study, we introduce a concise short-run equilibrium model for the housing market, covering sales and two distinct rental markets - monthly rent and Jeonsei markets. This model enables us to analyze the interplay among these markets and examine the determinants of equilibrium sales prices, monthly rent, and Jeonsei prices. Unlike monthly rent, the actual cost to a tenant in Jeonsei (interest on the Jeonsei deposit) depends on the tenant’s equity size, and the cost of ownership in Jeonsei differs from that in monthly rent. We incorporate these distinctions between monthly rent and Jeonsei contracts into our model and observe that the housing market's equilibrium is influenced by the type of rental market. We also examine the effects of an increase in real estate holding tax and find that sales prices decrease irrespective of the type of rental market. However, the impact on monthly rental fees and Jeonsei prices depends on the rental market structure: monthly rental fees do not change only if monthly rental is available, Jeonsei prices increase if only Jeonsei is available, and both monthly rental fees and Jeonsei prices increase if both types of rents are available.

Research on Optimization of International Multimodal Transportation Routes Based on Uncertainty Theory

Delays in international multimodal marine transport can result in subsequent connection delays, leading to prolonged transportation time and increased uncertainty. To identify more reliable and cost-effective robust transportation routes, this study establishes a constrained planning model for multimodal transportation routes. Employing uncertainty theory, the model is transformed into a deterministic equivalent class model and ultimately incorporates an adaptive differential evolution (ADE) algorithm. Results of a case study indicate that: (i) the proposed model, compared with deterministic models, exhibits greater robustness and better aligns with practical transportation scenarios, resulting in substantial reductions in actual transportation time and cost; (ii) the solution efficiency of the ADE algorithm surpasses that of the genetic algorithm and Dijkstra algorithm; (iii) the start time of transportation and the confidence level of uncertainty also play crucial roles in influencing route selection. Therefore, decision-makers should consider a multifaceted approach when formulating transportation routes.

Cloud storage cost: a taxonomy and survey

Cloud service providers offer application providers with virtually infinite storage and computing resources, while providing cost-efficiency and various other quality of service (QoS) properties through a storage-as-a-service (StaaS) approach. Organizations also use multi-cloud or hybrid solutions by combining multiple public and/or private cloud service providers to avoid vendor lock-in, achieve high availability and performance, and optimise cost. Indeed cost is one of the important factors for organizations while adopting cloud storage; however, cloud storage providers offer complex pricing policies, including the actual storage cost and the cost related to additional services (e.g., network usage cost). In this article, we provide a detailed taxonomy of cloud storage cost and a taxonomy of other QoS elements, such as network performance, availability, and reliability. We also discuss various cost trade-offs, including storage and computation, storage and cache, and storage and network. Finally, we provide a cost comparison across different storage providers under different contexts and a set of user scenarios to demonstrate the complexity of cost structure and discuss existing literature for cloud storage selection and cost optimization. We aim that the work presented in this article will provide decision-makers and researchers focusing on cloud storage selection for data placement, cost modelling, and cost optimization with a better understanding and insights regarding the elements contributing to the storage cost and this complex problem domain.

#2391 Changes of medical costs and number of uses for continuous renal replacement therapy until recent six years in South Korea

Abstract Background and Aims Continuous renal replacement therapy (CRRT) is a necessary dialysis treatment method applied to patients with acute renal injury at intensive care unit. In South Korea, the use of such CRRT is increasing, and the cost of health insurance used for CRRT is also increasing. In this study, the pattern and medical costs increase of CRRT usage until recent 6 years were investigated. Method From 2016 to 2021, the number of CRRT claims was investigated using data from the National Health Insurance Review and Assessment Service. CRRT costs is applied by a resource-based relative value score in Korea. CRRT can be charged as continuous venovenous hemodialysis, continuous venovenous hemofiltration, and continuous venovenous hemodiafiltration depending on the treatment mode. The CRRT cost differs from the very day and the next day's cost, and the cost of the very day includes the femoral hemodialysis catheter insertion cost, which is higher than the next day's cost. Results CRRT medical practice is gradually increasing. The number of CRRT the very day increased from 15,640 cases in 2016 to 20,883 cases in 2021, and it continues to increase from 81,649 cases CRRT the next day in 2016 to 121,376 cases CRRT the next day in 2021. The CRRT relative value score is higher than the conventional hemodialysis(HD) and the CRRT relative value score is 9715 points higher than the conventional HD 1065 points. The total cost of CRRT increased by about KRW 52.5 billion (approximately 38,363,171 dollars) in 2021 from about KRW 17.3 billion (approximately 12,641,578 dollars) in 2016. In addition to CRRT medical practice costs, dialysis fluid, anticoagulant costs, and material costs are added, and so actual CRRT-related costs are more expensive. Conclusion CRRT medical practice is gradually increasing. The number of CRRT the very day increased from 15,640 cases in 2016 to 20,883 cases in 2021, and it continues to increase from 81,649 cases CRRT the next day in 2016 to 121,376 cases CRRT the next day in 2021. The CRRT relative value score is higher than the conventional hemodialysis (HD) and the CRRT relative value score is 9715 points higher than the conventional HD 1065 points. The total cost of CRRT increased by about KRW 52.5 billion (approximately 38,363,171 dollars) in 2021 from about KRW 17.3 billion (approximately 12,641,578 dollars) in 2016. In addition to CRRT medical practice costs, dialysis fluid, anticoagulant costs, and material costs are added, and so actual CRRT-related costs are more expensive.

Minimum dose walking path planning in a nuclear radiation environment based on a modified A* algorithm

An additional cost function for the case with turning points is introduced to the A* algorithm, which can reduce unnecessary turning points. Therefore, the modified A* algorithm consists of three parts: the actual cost function, the estimated cost function, and the turning point cost function. The three functions are normalized so that they can be compared without dimensionality to obtain the optimal path planning in radiation environments. Based on the Geant4 Monte Carlo program, the radiation field model is established and the dose distribution data is obtained. We assign weights to the functions to smooth out the three different cost functions and avoid scenarios in which one function is much greater than the other two. In a small-scale simulation experiment, the path generated by the modified algorithm is consistent with that calculated by the traditional A* method, but the number of turning points is significantly reduced. The modified algorithm takes less time and the cumulative dose on the path is slightly lower. Modified A*, traditional A* and PRM algorithms are used for path planning and comparison in the complex radiation environment of multiple γ sources. The PRM algorithm takes the least computation time to search the path, but the cumulative exposure dose is random. For the path planning of multi-task operation in a radiation field, the cumulative radiation dose of the path planned by the modified A* algorithm is equivalent to that of the traditional A* algorithm, but the modified A* algorithm significantly reduces the number of turning points, the calculation time is significantly shortened, and the execution efficiency is improved. The modified A* algorithm can be used as a reference for path planning for workers in radiation workplaces.