Planning Scheduling Research Articles

Analisa Produktivitas Tenaga Kerja Pada Proyek Pembangunan Gedung Bertingkat Dengan Menggunakan Metode Time Study (Studi Kasus: Proyek Pembangunan Gedung Kejaksaan Tinggi Kalimantan Tengah)

The productivity of workers determines the success of the implementation of the construction project schedule, because it has an impact on the compatibility between the planning of the construction schedule and the progress of work in the field. The worker productivity that will be calculated is the work of reinforcing beams in the Central Kalimantan High Prosecutor's Office building construction project. The calculation of worker productivity will be carried out using the time study method.This study aims to determine the extent of worker productivity during working hours in the morning and evening. The method used in this research is the time study method, which is the measurement of labor productivity in the field by determining the standard time of a job. From this method can be seen the comparison of worker productivity from the results of a job. In this case study, the factors that affect worker productivity will be identified. The data collection technique in this study used a questionnaire by giving written questions to respondents that were relevant to the research objectives. Based on the results of the analysis, it is known that the productivity of workers in the morning higher with an average weight of 41,825 kg/hour than in the afternoon of 40,433 kg/hour. Where on the first day the productivity of morning workers is 12,56% and in the afternoon it is 11,97%. On the second day the productivity of morning workers is 12,81% and in the afternoon it is 12,18%. On the third day the productivity of morning workers is 12,68% and in the afternoon 12,43%. On the fourth day the productivity of morning workers is 12,85% and in the afternoon 12,52%. In general, it can be seen that the productivity of workers in the morning is higher than that of workers in the afternoon. There are 3 categories of factors that influence worker productivity: not influential (TB) are wind gusts; influential (B) are weather factors; number of workers, age, wages; managerial factors; effectiveness of working hours; and very influential are skill factors

Manajemen Bimbingan Belajar di Sekolah SMA Negeri 1 Langkaplancar Pangandaran

The tutoring is a process of providing assistance to individuals that is carried out continuously so that a change occurs within the individual. The aim of the research is to explore how tutoring is managed at SMA Negeri 1 Langkaplancar Pangandaran. This research method is a qualitative descriptive research method. The technique in this research uses observation, interviews and documentation methods. The results of the research show that the management of tutoring at SMA Negeri 1 Langkaplancar is prepared through certain programs, namely guidance and counseling programs which have been included in scheduled activity plans, so that they can help students achieve optimal development.

Analisis Work Life Balance Karyawan di Wirman Sambal

This research focuses on analyzing the work-life balance of employees at Usaha Wirman Sambal. In the context of the success of an organization, human resources play a crucial role. This business prioritizes the quality of chili sauce, requires employees with superior qualifications and optimal performance. Work-life balance is in the spotlight when facing complex work demands. This research is important because it impacts employee well-being, productivity and organizational competitiveness. Work-life balance is not just time allocation, but includes aspects of physical, mental health and the quality of social relationships. Increasing employee well-being contributes positively to productivity and performance. In the research "Analysis of Work-Life Balance of Employees at Wirman Sambal," the question explains how employees at Wirman Sambal maintain a balance between their work and personal lives. As well as what main challenges are faced by employees at Wirman Sambal in achieving Work-Life Balance. The research method uses qualitative methods with data collection techniques through interviews and observations. The results of interviews and observations revealed diverse approaches to achieving work-life balance, including schedule planning, implementing time limits, and open communication. Key challenges involve changing schedules, increased workloads, limited time flexibility, and the impact of technology. Understanding these factors provides insight into formulating policies and practices that support work-life balance. A well-managed work-life balance at Wirman Sambal has a positive impact on employee welfare and productivity, creates a positive work culture, and improves the overall quality of life. This research contributes to the understanding of work-life balance in the context of the culinary industry and offers constructive recommendations for improving policies and practices in these work environments.

Efficacy and Safety of Preoperative Transcatheter Rectal Arterial Chemoembolisation in Patients with Locally Advanced Rectal Cancer: Results from a Prospective, Phase II PCAR Trial

AimsThe PCAR study aimed to assess the efficacy and safety of preoperative transcatheter rectal arterial chemoembolisation (TRACE) in patients with locally advanced rectal cancer (LARC). Materials and methodsThis was a single-centre, prospective, phase II trial conducted in China. Eligible patients were adults aged 18 years and older with histologically confirmed stage II or III rectal carcinoma and an Eastern Cooperative Oncology Group performance status of 0–1. Patients received TRACE with oxaliplatin, followed by radiotherapy with a cumulative dose of 45 Gy (1.8 Gy/time/day, five times a week for 5 weeks) and received oral S1 capsules twice daily (7 days a week for 4 weeks). Patients underwent total mesorectal excision 4–8 weeks after the completion of chemoradiotherapy, followed by mFOLFOX6 or CAPOX regimens for 4–6 months. The hypothesis of this study was that adding TRACE to preoperative neoadjuvant chemoradiotherapy would improve tumour regression and prognosis. The primary end point was the pathological complete response rate; secondary end points included the major pathological response rate, anal preservation rate, 5-year disease-free survival (DFS), 5-year overall survival and treatment-related adverse events. ResultsIn total, 111 LARC patients received TRACE and subsequent scheduled treatment plans. The pathological complete response and major pathological response rates were 20.72% and 48.65%, respectively. The 5-year DFS and 5-year overall survival were 61.89% (95% confidence interval 51.45–74.45) and 74.80% (95% confidence interval 65.05–86.01), respectively. Grade 3–4 toxicities were reported in 29 patients (26.13%). The postoperative complication rate was 21.62%, without serious surgical complications. Multivariate Cox regression analysis showed that ypN stage (hazard ratio = 4.242, 95% confidence interval 2.101–8.564, P = 0.00017) and perineural invasion (hazard ratio = 2.319, 95% confidence interval 1.058–5.084, P = 0.0487) were independent risk factors associated with DFS, whereas ypN stage (hazard ratio = 3.164, 95% confidence interval 1.347–7.432, P = 0.0101), perineural invasion (hazard ratio = 4.118, 95% confidence interval 1.664–10.188, P = 0.0134) and serum carbohydrate antigen 199 (CA199; hazard ratio = 4.142, 95% confidence interval 1.290–13.306, P = 0.0344) were independent predictors for overall survival. ConclusionThe current study provides evidence that adding TRACE to neoadjuvant chemoradiotherapy can improve the pathological remission rate in LARC patients with acceptable toxicity. Given its promising effectiveness and safe profile, incorporating TRACE into the standard treatment strategy for patients with LARC should be considered.

ANALYSIS OF COST AND TIME FOR THE COMPLETION OF THE MAINTENANCE PROJECT OF THE KARETAN – SAMBIMULYO ROAD IN BANYUWANGI REGENCY

Along with technological developments in the field of project work implementation, it must also be accompanied by developments in the field of Management as a control function in the implementation of the project. In this case, the application of the Earned Value Concept Method is expected to be able to provide an alternative solution to the problem of evaluating the cost and time that has been spent on project implementation. The purpose of this research is to evaluate a project work that is being done, namely in the form of Maintenance of KaretanSambimulyo Road, Banyuwangi Regency against Project Time and Cost Control, so that it can be used as a reference material by the project implementer and the employer in terms of decision making whether the project is feasible to complete or not. The research was conducted at the end of week 21 (twenty-one), with different evaluation results, thus it can be concluded with the following description: a. Based on Cost Variance (CV) & Schedule Variance (SV) analysis results obtained: Work is carried out later than the schedule plan, costs are lower than the budget plan; b. Based on Cost Performance Index (CPI) & Schedule Performance Index (SPI): Profit but experiencing delays; c. Based on Estimation to Complete (ETC) & Estimation at Completion (EAC): Obtaining a profit of Rp. 263,004,000, 00-,; d. Based on Estimate Temporary Cost (ETC) & Estimate All Cost (EAS): Experienced a Time Delay of 2.09 Weeks

Analysis of Scheduled Castes Sub Plan of Telangana State

The Process of Equalization among an Indian civilians is a continuous practice since Independence, Even after several decades of independence and after several attempts by the government, it is unable to reduce the discrimination in social, cultural, political and economical status of depressed class people. It is observed that economical equalization can be the thriving effect than the other methods of equalizing with mainstream of the Indian society. Taking this economical perspective into consideration the governments are giving much more priorities to economical aspects, like Budgets, Sub plans, special component plans, economical packages etc., Provisions have been made to effectively utilize the funds allocated for the target communities based on the proportion of their population within the budget year. The Department of Scheduled Caste Development is dedicated to the integrated and general development of Scheduled Castes. Educational development, socio-economic development, protection and welfare schemes implementation programs are the main objectives of the Scheduled Caste Department, Welfare schemes like Dalitha Bandhu, T-PRIDE, Kalyana Lakshmi, ASARA pension programs are the financial assistance schemes for Telangana state scheduled Castes people.

ANALYSIS OF TIME AND COST PERFORMANCE IN THE COMPLETION OF THE CONSTRUCTION PROJECT FOR THE REGIONAL DISASTER MANAGEMENT AGENCY (BPBD) BUILDING COMPLEX IN PASURUAN REGENCY, BUDGET YEAR 2023

In the construction project of the Pasuruan Regency BPBD building complex, which is currently still ongoing, has experienced problems related to the schedule for the implementation of its activities. The problem in question is the delay in the schedule for the implementation of its activities, where the results of the progress realization are not in accordance with the schedule plan, through this writing an evaluation is carried out related to performance in the field through an approach using. The data analysis process is carried out by calculating analysis indicators including BCWS, BCWP and ACWP, the calculation of cost indicators consists of calculating the CV value, Cost Performance Index (CPI), ETC and EAC, and also calculating related to time indicators including calculating the SV value, Time Performance Index (SPI) and also calculating the time requirements / Estimated time (TE) in project completion. Based the results of calculation / data analysis that has been carried out, the Cost Performance Index value CPI> 1 is obtained, and the SPI Time Performance Index value < 1, indicating that the realization cost is still below the plan cost with the achievement of progress realization which is also still below the plan schedule. while for the ETC value of project completion of Rp.2,148,176,877,000..148,176,877.17 with an EAC value of Rp.16,624,276,448.77 from the total contract value of Rp. 18,898,770,576.77. and related to the estimated time requirement for project completion (TE) obtained a time of 220.75 ⁓ 221 days, 11 days later than the time provided 210 days.

Cone-beam computed tomography-guided online adaptive radiotherapy for pharyngeal cancer with whole neck irradiation: dose-volume histogram analysis between adapted and scheduled plans.

The present study aimed to evaluate whether an adapted plan with Ethos™ could be used for pharyngeal cancer. Ten patients with pharyngeal cancer who underwent chemoradiotherapy with available daily cone-beam computed tomography (CBCT) data were included. Simulated treatments were generated on the Ethos™ treatment emulator using CBCTs every four to five fractions for two plans: adapted and scheduled. The simulated treatments were divided into three groups: early (first-second week), middle (third-fourth week), and late (fifth-seventh week) periods. Dose-volume histogram parameters were compared for each period between the adapted and scheduled plans in terms of the planning target volume (PTV) (D98%, D95%, D50% and D2%), spinal cord (Dmax and D1cc), brainstem (Dmax) and ipsilateral and contralateral parotid glands (Dmedian and Dmean). The PTV D98%, D95% and D2% of the adapted plan were significantly higher than those of the scheduled plans in all periods, except for D98% in the late period. The adapted plan significantly reduced the spinal cord Dmax and D1cc compared with the scheduled plan in all periods. Ipsilateral and contralateral parotid glands Dmean of the adapted plan were lower than those of scheduled plan in the late period. In conclusion, the present study revealed that the adapted plans could maintain PTV coverage while reducing the doses to organs at risk in each period compared with scheduled plans.

COST AND TIME ANALYSIS USING THE EARNED VALUE METHOD IN THE CONSTRUCTION PROJECT OF THE BPBD BUILDING COMPLEX IN PASURUAN DISTRICT

In the construction project of the Pasuruan Regency BPBD building complex which is currently still running, there have been problems related to the schedule for the implementation of its activities. The problem in question is the delay in the schedule for the implementation of its activities. where the results of the progress realization are not in accordance with the schedule plan, through this paper an evaluation is carried out related to performance in the field through an approach using the Earned Value Method. The data analysis process is carried out by calculating analysis indicators including BCWS, BCWP and ACWP. The results of the performance evaluation of the Pasuruan Regency BPBD building complex construction project using the Earned Value method show that the project has a negative deviation in the activity implementation schedule. The cost performance indicator on this project shows a Cost Performance Index (CPI) value of 1.137, which means that the costs incurred are greater than planned. While the time performance indicator shows a Schedule Performance Index (SPI) value of 0.949, which means the project is delayed from the planned schedule.

EVALUATION OF COST AND TIME PERFORMANCE OF KARETAN - SAMBIMULYO ROAD MAINTENANCE PROJECT IN BANYUWANGI DISTRICT

Along with technological developments in the field of project work implementation, it must also be accompanied by developments in the field of Management as a control function in the implementation of the project. In this case, the application of the Earned Value Concept Method is expected to be able to provide an alternative solution to the problem of evaluating the cost and time that has been spent on project implementation. The purpose of this study is to evaluate a project work that is being carried out, namely in the form of Maintenance of Karetan-Sambimulyo Road, Banyuwangi Regency against Time and Cost Control of the Project, so that it can be used as a reference material by the project implementer and the employer in terms of decision making whether the project is feasible to complete or not. The research was conducted at the end of week 21 (twenty-one), with different evaluation results, thus it can be concluded with the following description: a. Based on Cost Variance (CV) & Schedule Variance (SV) analysis results obtained: Work is carried out later than the schedule plan, costs are lower than the budget plan; b. Based on Cost Performance Index (CPI) & Schedule Performance Index (SPI): Profit but experiencing delays; c. Based on Estimation to Complete (ETC) & Estimation at Completion (EAC): Obtaining a profit of Rp. 263,004,000, 00-,; d. Based on Estimate Temporary Cost (ETC) & Estimate All Cost (EAS): Experienced a Time Delay of 2.09 Weeks.

Charging prediction for new energy electric vehicles in the context of vehicle to grid using a hybrid ROCNN-BILSTM model

Abstract Vehicle to grid refers to the interaction between electric vehicles and the power grid through charging stations. It aims to guide owners of new energy vehicles to charge in an orderly and staggered manner, and even enabling power supply back to the grid. In the context of vehicle to grid, the charging behavior of new energy vehicles becomes different from the past due to uncertainties introduced by user plug-in/plug-out actions and weather conditions, which may disrupt owners’ future scheduling plans. In this article, we propose a charging prediction study based on the Reordering Convolutional Neural Network-Bidirectional Long Short-Term Memory (ROCNN-BILSTM) hybrid model specifically designed for the vehicle to grid context. The proposed model employs wavelet threshold denoising as a data preprocessing operation to remove unnecessary noise factors that could affect predictions. Subsequently, the 2-Dimensional Convolutional Neural Network (2D-CNN) component retains temporal features while extracting spatial features. Notably, the features are rearranged, combining highly correlated ones, to facilitate the extraction of high-level, abstract spatial features by the 2D-CNN. Finally, the Bidirectional Long Short-Term Memory (BILSTM) component utilizes a bidirectional structure to capture comprehensive dynamic information and assist in achieving the final charging prediction. Our proposed ROCNN-BILSTM eliminates uncertainty in the data, allowing deep learning models to better focus on important features. Additionally, our model emphasizes high-level spatiotemporal feature extraction, which helps achieve high-performance charging prediction. In the context of vehicle to grid, a real-world dataset of new energy vehicle charging data was used for multi-step prediction, different starting point predictions, and comparison with advanced models. The experimental results show that the proposed model outperforms CNN-LSTM and 2D-CNN models by up to 50.1% and 57.1% in terms of mean absolute error (MAE), and 45.8% and 51.5% in terms of mean squared error (MSE). The results validate the strong predictive performance of the hybrid model and provide robust support for the demands of the vehicle to grid market and new energy vehicle charging prediction technology. In future work, we will place greater emphasis on designing high-performance and interpretable models to explore the fundamental reasons behind different charging trends in new energy vehicles.

Social Media Communication Strategy and User Behavior Analysis of Film IP from a Cross-cultural Perspective

This paper uses the live-action film "Barbie" as an example to explore the strategies and analysis of user behavior in the social media communication of film intellectual property (IP) from a cross-cultural perspective. First, it introduces the concept and characteristics of social media marketing, including establishing marketing points and trust, sharing content with readers, and building interactive relationships with customers. Next, it analyzes the current situation and characteristics of film marketing and summarizes the development stages of film marketing. Then, it proposes social media marketing strategies based on the film's content, the audience, and the business model, including topic marketing, event marketing, word-of-mouth marketing, and emotional marketing. In addition, it explores the problems faced by film social media marketing. It puts forward corresponding countermeasures, such as innovation in marketing models, integration of online resources, and rational planning of market schedules. Finally, it summarizes this research's primary results, innovations, and prospects for future research directions. This study is significant for film IP's social media communication strategies and user behavior analysis, providing valuable references for the film industry.

Seasonal electricity consumption forecasting: an approach with novel weakening buffer operator and fractional order accumulation grey model

PurposeAccurate prediction of seasonal power consumption trends with impact disturbances provides a scientific basis for the flexible balance of the long timescale power system. Consequently, it fosters reasonable scheduling plans, ensuring the safety of the system and improving the economic dispatching efficiency of the power system.Design/methodology/approachFirst, a new seasonal grey buffer operator in the longitudinal and transverse dimensional perspectives is designed. Then, a new seasonal grey modeling approach that integrates the new operator, full real domain fractional order accumulation generation technique, grey prediction modeling tool and fruit fly optimization algorithm is proposed. Moreover, the rationality, scientificity and superiority of the new approach are verified by designing 24 seasonal electricity consumption forecasting approaches, incorporating case study and amalgamating qualitative and quantitative research.FindingsCompared with other comparative models, the new approach has superior mean absolute percentage error and mean absolute error. Furthermore, the research results show that the new method provides a scientific and effective mathematical method for solving the seasonal trend power consumption forecasting modeling with impact disturbance.Originality/valueConsidering the development trend of longitudinal and transverse dimensions of seasonal data with impact disturbance and the differences in each stage, a new grey buffer operator is constructed, and a new seasonal grey modeling approach with multi-method fusion is proposed to solve the seasonal power consumption forecasting problem.HighlightsThe highlights of the paper are as follows:A new seasonal grey buffer operator is constructed.The impact of shock perturbations on seasonal data trends is effectively mitigated.A novel seasonal grey forecasting approach with multi-method fusion is proposed.Seasonal electricity consumption is successfully predicted by the novel approach.The way to adjust China's power system flexibility in the future is analyzed.

Decreasing Waiting Time for Outpatient Chronic Prescriptions Pickup Using Drive through 24/7 Automated Dispensing Carousel System at King Salman Military Hospital (KSAFH)

Extended waiting periods have an effect on healthcare accessibility and delivery. The main purpose of drive through 24/7 automated dispensing carousel system is reducing the necessity for patient to visit the hospital to dispense his/her chronic medications, increasing patient's convenience and relieving congested parking spaces in the hospital. Several methods have been implemented in other countries to reduce patient waiting time. Some of which include automated dispensing system, staff scheduling plan, postal-delivery prescription, and redesign of pharmacy workflow [1-4]. In SAUDI ARABIA, one of the methods adopted was implementation of drive through 24/7 automated dispensing carousel system (DAD). DAD was developed to make patients' chronic prescription pickups easier. The hospital has implemented Capsa Healthcare’s RoboWall as a drive-through model for the first time in the global market at King Salman Armed Forces Hospital (KSAFH) to facilitate the convenient delivery of prescription drugs to patients. DAD is a collection of innovative dispensing systems that offers patients new concepts for dispensing their prescription. Pharmacy tech workstations generally have barcode-driven internal workstations, flat screen displays facing patients, Robowall software, and SMS (text messaging) modules. This project will assess were to (1) assess the effectiveness of drive through 24/7 automated dispensing carousel system in improving waiting time for outpatient chronic prescriptions pickup and determine the feasibility of this system in a busy tertiary military hospital. Data will be extracted from routinely queuing system, hospital information systems, and patient experience. The aim of this study will focus on and explore the current practice and its barriers to waiting time for outpatient chronic prescriptions pickup. Where possible, generalize the study to other military hospitals among the Ministry of Defense and other health care providers at Saudi Arabia.

Prospects for online adaptive radiation therapy (ART) for head and neck cancer

BackgroundThe aim of the present study is to examine the impact of kV-CBCT-based online adaptive radiation therapy (ART) on dosimetric parameters in comparison to image-guided-radiotherapy (IGRT) in consecutive patients with tumors in the head and neck region from a prospective registry.MethodsThe study comprises all consecutive patients with tumors in the head and neck area who were treated with kV-CBCT-based online ART or IGRT-modus at the linear-accelerator ETHOS™. As a measure of effectiveness, the equivalent-uniform-dose was calculated for the CTV (EUDCTV) and organs-at-risk (EUDOAR) and normalized to the prescribed dose. As an important determinant for the need of ART the interfractional shifts of anatomic landmarks related to the tongue were analyzed and compared to the intrafractional shifts. The latter determine the performance of the adapted dose distribution on the verification CBCT2 postadaptation.ResultsAltogether 59 consecutive patients with tumors in the head-and-neck-area were treated from 01.12.2021 to 31.01.2023. Ten of all 59 patients (10/59; 16.9%) received at least one phase within a treatment course with ART. Of 46 fractions in the adaptive mode, irradiation was conducted in 65.2% of fractions with the adaptive-plan, the scheduled-plan in the remaining. The dispersion of the distributions of EUDCTV-values from the 46 dose fractions differed significantly between the scheduled and adaptive plans (Ansari-Bradley-Test, p = 0.0158). Thus, the 2.5th percentile of the EUDCTV-values by the adaptive plans amounted 97.1% (95% CI 96.6–99.5%) and by the scheduled plans 78.1% (95% CI 61.8–88.7%). While the EUDCTV for the accumulated dose distributions stayed above 95% at PTV-margins of ≥ 3 mm for all 8 analyzed treatment phases the scheduled plans did for margins ≥ 5 mm. The intrafractional anatomic shifts of all 8 measured anatomic landmarks were smaller than the interfractional with overall median values of 8.5 mm and 5.5 mm (p < 0.0001 for five and p < 0.05 for all parameters, pairwise comparisons, signed-rank-test). The EUDOAR-values for the larynx and the parotid gland were significantly lower for the adaptive compared with the scheduled plans (Wilcoxon-test, p < 0.001).ConclusionsThe mobile tongue and tongue base showed considerable interfractional variations. While PTV-margins of 5 mm were sufficient for IGRT, ART showed the potential of decreasing PTV-margins and spare dose to the organs-at-risk.

Evaluasi Biaya dan Waktu pada Pembangunan Gedung Kantor Bupati Pasuruan Dengan Metode Earned Value

The Pasuruan Regent Office Building Construction Project is a very important project because it involves the implementation of services to the community so that timeliness and quality in the implementation of development is a must. In week 17 the project experienced delays in implementation where in week 17 the progress plan was 36.906% but the facts in the field were still 22.70% so that there was a delay deviation of -14.204%. This study aims to serve as an early warning and evaluate the performance that is indicated to experience delays so that future realization progress can be carried out in accordance with the plan schedule. The method used is Earned Value Analysis which is a project management method used to measure and analyze project performance based on a comparison between the actual value of the work that has been completed (Earned Value, EV), the costs that have been incurred (Actual Cost, AC), and the estimated costs that should be incurred (Planned Value, PV) at a certain point in the project. EVM is a useful tool for monitoring project progress, identifying potential problems, and making predictions about how the project will proceed. Existing data is analyzed to obtain a prediction of the final state of project completion related to the estimated cost and schedule required. Data collection is carried out by collecting documents related to construction projects. From the results of the analysis, it was found that.

Intelligent reinforcement training optimisation of dispatch strategy for provincial power grids with multi‐agent systems: Considering operational risks and backup availability

AbstractIn order to optimise resource allocation within the province, a two‐stage scheduling model for provincial‐level power grids, encompassing day‐ahead and intra‐day stages is proposed. Firstly, a Conditional Generative Adversarial Network is employed to generate scenarios for load and new energy output. Based on the generated scenario set, the model takes into account the uncertainty and permissible error intervals of new energy and load, utilising conditional value at risk to measure the system scheduling risk. In the day‐ahead stage, an optimisation model is proposed, considering intra‐provincial power purchase demands, with the goal of minimising system operating costs, including risk costs. It optimises day‐ahead scheduling and contingency plans to ensure economic efficiency and robustness of the system based on extreme scenarios. During the training phase, the dataset is enhanced using Conditional Generative Adversarial Network and updated daily, improving the training effectiveness of the multi‐agent proximal policy optimisation intra‐day scheduling model. In the intra‐day stage, the intra‐day scheduling model utilises ultra‐short‐term forecasting data as input to generate contingency plans for dispatching reserve units. Experiments conducted on the IEEE 39‐node system validate the feasibility and effectiveness of the proposed approach.

An integrated vehicle routing model to optimize agricultural products distribution in retail chains

The Vehicle Routing Problem (VRP) represents a thoroughly investigated domain within operations research, yielding substantial cost savings in global transportation. The fundamental objective of the VRP is to determine the optimal route plan that minimizes the overall distance traveled. This study employs VRP to address the challenge of distributing fresh agricultural products within retail chains. It introduces an integrated bi-objective VRP model that concurrently optimizes resource allocation, order scheduling, and route planning. The proposed model incorporates two objective functions with the goals of minimizing total distribution costs and ensuring timely product deliveries to retail outlets. Real-world characteristics are integrated to enhance practical applicability. All solution algorithms and the developed VRP model undergo testing using data from one of Sri Lanka's largest retail chains. Numerical experiments showcase the efficiency of the proposed algorithm in solving real-world VRP problems. Moreover, the proposed VRP model achieves a 19% reduction in daily distribution costs, including a 24% saving in fuel costs. This not only provides financial benefits but also contributes to the reduction of the carbon footprint of retail chains. The model ensures on-time deliveries to 95% of retail outlets, which is crucial for maintaining the quality of fresh food. The findings of this study underscore the significant cost savings, enhanced sustainability, and improved quality associated with the efficient distribution of fresh agricultural products within retail chains.

Reliable and robust scheduling of airport operation resources by simulation optimization feedback and conflict resolution

Reliable and robust airport flight ground service resources collaborative scheduling has emerged as an issue of major concern at congested airports, which has great significance on airport service quality and operation efficiency. Due to the uncertainty of the service process of multiple vehicles in airport ground operations, the combination of simulation and optimization (sim-opt) techniques has been proven to be an effective means to solve the collaborative scheduling problem. However, existing models still have limitations on the reliability of feasible solutions and the robustness of evaluations. In this work, we developed a conflict resolution based sim-opt framework that combines the search capability of mathematical optimization models with the ability of simulation models to describe uncertainty. The dynamic window is introduced to divide the flight zone into multiple sub-intervals, which allows for iterative search and evaluation of the optimal schedule solution while reducing model calculation time. Additionally, a matching algorithm based on slack and tight constraints is proposed to optimize the possible resource requirements of each vehicle, thereby improving the initial schedule solution’s search depth and reliability. Furthermore, a conflict resolution feedback mechanism between adjacent windows is constructed to optimize the scheduling plan, reducing misjudgment and omission of the optimal solution and enhancing the sim-opt framework’s robustness. Finally, experiments on real airport datasets of three different scales demonstrate that our proposed method efficiently allocates resources with a smaller flight delay time as well as reducing total vehicle cost time during the flight ground service process.

Establishment of General Oil Pipeline Scheduling Model and Research on Interface Tracking Calculation Method

In order to understand the establishment of oil pipeline scheduling model and interface tracking calculation method, a research on the establishment of a universal product oil pipeline scheduling model and interface tracking calculation method has been proposed. Establish an automatic formulation and optimization model for the scheduling plan of finished oil pipelines with the objective of minimizing the consumption cost of the entire pump unit. The model mainly adopts a centralized distribution method, considering the hydraulic constraints of the pipeline, and adopts a genetic algorithm to optimize and solve the model. This article provides a detailed introduction to the encoding method of genetic algorithm for optimizing the scheduling plan of finished oil pipelines, the selection of main operators in the algorithm, the establishment of fitness functions, and the introduction of penalty functions. Based on the established mathematical model, an automatic programming and optimization program for product oil pipeline scheduling plan was developed using C language in Windows 7 environment. Secondly, through practical applications, the actual pipeline operation data is basically consistent with the software calculation results, with an error of no more than 5%; As the running time changes, the pump cost fluctuates greatly; Using a larger throughput can reduce the amount of mixed oil; Therefore, this mathematical model can better meet the actual needs of pipeline operation, facilitate the rapid identification of the most sensitive parameter indicators, and adjust the scheduling plan in a timely manner, reduce operational economic losses, and improve the efficiency of product oil pipeline scheduling and operation.