Location Layout Research Articles

Community-Based “Green Tourism” Development Strategy for Situ Gede Ecotourism in West Bogor Sub-district

Abstract The tourism industry is growing fast in developing countries but does not necessarily consider sustainability issues. In this regard, the concept of green tourism is a way to promote sustainable tourism development. This study was conducted in Situ Gede Ecotourism, Situ Gede Village, West Bogor District. This study aims to identify and analyse the characteristics of the landscape, examine people’s perceptions and preferences, and provide recommendations for strategies towards green tourism in Situ Gede. Data collection was carried out through field observations, interviews, questionnaires, FGDs, and literature studies. This study uses two analytical methods, namely perception and preference analysis and the analysis of three stages of strategy formulation. Based on the results of the study, Situ Gede has landscape characteristics, namely that the spatial layout and land of this tourist location are in urban residential areas. The main attraction at Situ Gede is the view and use of the lake and the Dramaga research forest. There is a Situ Gede tourism management community and several other communities that have the potential to play a role in tourism activities, and there is awareness to protect the lake and its surroundings. The community expects an increase in the economy with the development of tourism. Based on the results of the perception analysis, Situ Gede is included in the high category for the development of green tourism. The results of the IE matrix show that Situ Gede’s position is in quadrant II, which provides recommendations for strategies to develop and build the tourist attraction management, promotion, and partnership.

A novel integrated optimization method of micrositing and cable routing for offshore wind farms

In traditional wind farm planning, the design of wind turbine locations and cable layouts is usually undertaken sequentially. However, this approach may potentially result in suboptimal solutions. While the increased spacing between wind turbines enhances power output by reducing wake losses, it also imposes a negative impact by raising cable costs. Addressing this challenge, we propose a novel multi-objective optimization model that simultaneously considers the micrositing of wind turbines and cable routing. A joint framework of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) and the Mixed-Integer Linear Programming (MILP) is established to optimize the layout of wind turbine locations, points of connection, and cable paths. The results indicate that, compared to the traditional sequential optimization, our integrated optimization exhibits significant economic advantages since improved the balance between micro siting and cable routing. By strategically sacrificing a portion of power generation to reduce cable costs, the overall investment profitability can be remarkably improved, with a maximum gain equivalent to 10.02 % of the cable costs.

Research on Dynamic Optimization Algorithm of Warehousing Location Layout Based on Nonlinear Optimization

The paper aims to improve the turnover rate and operation efficiency of goods that are shipped out and replenished in the warehouses of electric power enterprises through big data analysis and optimization algorithms.The data is distributed in diverse locations and data nonlinear optimization algorithms certainly helps to understand the patterns for effective management of warehouses.This article focuses on reducing the delay in the operational processes.A multi-objective optimization (MOO) has been proposed which is aiming at improving the efficiency of transition process of commodities, storage, and overall warehouse operations.The study helps in the optimization of the allocation of cargo spaces with the aid of big data analysis optimization technology which collects and manages data in a distributed environment. A multi-objective cargo space optimization algorithm is proposed along with consideration of dynamic constraints.The algorithm is based on the coefficient of variation adaptive differential evolution algorithm.Individual decoding is performed according to the real-time cargo space availability.The simulation results show that the convergence speed of the algorithm is greatly improved.Meanwhile, the efficiency of warehouse transition process, shelf stability and the classification of commodities are remarkably improved.In nutshell, the multi-objective decision-making with the integration of big data analysis optimization technology assists in the effective organization of warehouse allocation system by considering multiple factors and constraints.

Optimal siting of shared energy storage projects from a sustainable development perspective: A two-stage framework

The rapidly increasing installed renewable energy capacity has drawn greater attention to energy storage technology in China. However, the commercial implementation of energy storage is constrained by several obstacles. One potential solution to overcome these constraints is the shared energy storage model. The optimal location layout plays a crucial role in addressing the strategic decision problem of sustainable development. Therefore, a two-stage multi-criteria decision-making model is proposed to identify the optimal locations of shared energy storage projects in this work. In the first stage, the power attraction model is established to determine the macroscopic layout of shared energy storage. In the second stage, a large-scale group decision making (LSGDM) framework is developed to select the optimal micro location. The empirical study conducted in China reveals that Shandong, Henan, and Hebei provinces exhibit greater power flow attraction, from which eight alternatives are selected as site preferences and evaluated by twenty experts. Based on the improved EDAS method, the evaluation score function values of the eight alternatives are 0.497, 0.5, 0.476, 0.499, 0.507, 0.477, 0.506, and 0.498, respectively. Specifically, A5 in Rao Yang County, Hengshui City and A7 in Qing Long Manchu Autonomous County, Qinhuangdao City are preferred locations. Furthermore, the dependability and stability of the model are illustrated through the sensitivity analysis and comparative analysis. This model not only assists in determining the layout of shared energy storage but also contributes to the theoretical study of geographic information system and LSGDM.

Micropositioning and microvibration isolation of a novel hybrid active–passive platform with two-axis actuator for optical payloads

Space missions face developmental limitations in the endeavor to attenuate microvibration significantly while aiming to achieve high micropositioning accuracy. To overcome this issue, various passive, active, and hybrid approaches have been proposed. Regarding the tradeoff performance, the hybrid method may be the most suitable among these approaches. However, the significantly small mass ratio between the platform and service payload cannot be adapted to the recent and future space missions. Therefore, a novel modular-based three-leg supporting hybrid active–passive platform is proposed, which aims to improve the microvibration isolation and micropositioning performance of ultraprecision equipment in a dynamic environment. A Newton–Euler-based method was adopted to describe the system accurately. To achieve motion decoupling of the system, we synthesized a suitable location layout for the three modular units and modal decoupling control method. In addition, an innovative custom-made two-axis actuator with a large stroke and high thrust was employed to strengthen the operational accuracy and dynamic performance. To simultaneously determine the microvibration isolation and micropositioning performances, hybrid micropositioning and microvibration isolation controllers, which synthesize the velocity feedforward and feedback, are proposed. Experiments and actual application demonstrated the effectiveness of the proposed scheme in terms of microvibration attenuation and micropositioning.

An Improved Simulated Annealing Algorithm in Dataset Domain for Optimizing Robust Workpiece Fixture Layout

AbstractThe robust layout of the fixture on the workpiece solves the problem of workpiece fixing well. Aiming at the problem of workpiece position error caused by fixture source error on workpiece surface, an improved simulated annealing algorithm based on dataset domain is adopted to reduce the workpiece position error caused by fixture locator deviation as much as possible. To find a better robust layout way, a point differentiation method is proposed to discretize continuous workpieces to obtain the dataset domain. Meanwhile, two objective functions considering curvature and non‐curvature are used to evaluate the placement scheme of locators. A point differentiation method is proposed to discretize continuous workpieces to obtain the dataset domains. Meanwhile, two objective functions considering curvature and non‐curvature are used to evaluate locator layout schemes. To improve the performance of the algorithm, an AHP‐based multi‐attribute decision‐making method is used to find a set of optimal parameters to configure the algorithm. The benchmark example and practical verification show that the locator obtained by the algorithm proposed is less discrete and denser, which solves the problem of fixture positioning very well, and the position error of the workpiece is effectively reduced.

The Improvement of the Honey Badger Algorithm and Its Application in the Location Problem of Logistics Centers

Aiming at the problems of low resource utilization and high distribution cost of urban logistics enterprises, this paper introduces the threshold setting of large parcels, comprehensively considers the processing links of large parcels and standard parcels in loading, unloading, sorting, and other processing links, and constructs a logistics planning model with the type of multi-functional transit center as the variable and the total cost of the logistics system as the goal. Aiming at the shortcomings of the honey badger algorithm, three optimization strategies are used to improve the logistics model, and the effectiveness of the improved algorithm is verified by comparing with the CPLEX operation results. Based on the operation data of SF Jinzhou, this paper obtains the optimization results of large parcel threshold, multi-function transit center location layout, and terminal demand point allocation. From the results, the introduction of the threshold setting for large parcels has played a significant role in the joint optimization of multi-functional center location selection and terminal demand point allocation under multi-parcel distribution and provides theoretical data support for the existing urban logistics location problem.

The Contestation of Profanity and Sacral at Taman Bungkul Landscape

Since its inauguration in 2007, the development of Bungkul Park has been very conspicuous from a tomb to a tourist attraction. As a historical place, Bungkul Park is not as famous as Wali Songo. Geographically, the tomb of Sunan Bungkul and the green open space's Bungkul border the wall to distinguish the location's layout. This place is better known as a recreational place. Changes in function are more creative than religious. This study tries to answer (1) How is the Sacred culture that occurs in religious tourism? (2) How is the Profan culture in the bungkul ParkPark? (3) What is the impact of cultural differences in religious tourism in Sunan Bungkul and Bungkul Park? These problems are explained by analyzing the data and sources obtained through the stages of qualitative descriptive research methods, which include ethnography, criticism, interpretation, and historiography. Based on the data analysis and sources received, the development of Bungkul Park, which is getting better, brings the Surabaya city government to revitalize Bungkul Park. The City Government should pay more attention to the religious aspect than the profane aspect of using Bungkul. This is because of Bungkul's care, most of which pays more attention to the ParkPark than his burial. Visitors are also more familiar with the ParkPark than bungkul's tomb.

Optimizing Emergency Supply Location Selection in Urban Areas: A Multi-Objective Planning Model and Algorithm

The scientific location and layout of emergency material storage and rescue points in urban areas are critical aspects of emergency management. In this study, a multi-objective programming optimization model was constructed based on related theories, incorporating multiple goal combinations with different dimensions according to various disaster scenarios and urban emergency needs. The weight factors of emergency timeliness, economy, and safety were considered, and the multi-objective model optimization problem was transformed into a single-objective comprehensive optimization model problem using the weight method. The analysis decision function was utilized to study the transformation and solution method of the urban emergency rescue point location model. Heuristic optimization algorithms were employed to perform average segmentation calculations on the preset neighborhoods, constantly changing and narrowing the neighborhood range until the algorithm termination conditions were met, approaching the domain range of the optimal solution. Additionally, another precision parameter was utilized to control the accuracy of the final solution neighborhood range. The optimization of emergency vehicle scheduling was used to synergistically solve the problem of reserve rescue point location layout and optimization solution. The results of the example demonstrate the feasibility of constructing a multi-objective model with multiple combinations of different dimensions of objectives and the rationality of the Dijkstra heuristic optimization algorithm used. This study provides multiple methodologies and alternative site selection plans for decision-makers to select the required multi-objective reserve rescue point location model based on different urban disaster situations and their own emergency rescue needs.

Passenger flow simulation of Xiamafang metro station based on AnyLogic

In this paper, based on the functional location layout and passenger flow distribution characteristics of Xiamafang metro station, the passenger flow of Xiamafang metro station is simulated and analyzed with the help of the traffic behavior model theory of pedestrians by using the AnyLogic micro dynamic simulation software, the traffic behavior, simulation method and simulation effect are studied. Firstly, it introduces the actual situation of Xiamafang metro station, including the analysis of station layout and passenger flow organization streamline. Secondly, the pedestrian micro simulation model and implementation method are studied, including the social force model, the introduction of AnyLogic software and the implementation steps of pedestrian simulation. Finally, in the case of simplifying the layout of facilities in Xiamafang metro station, the simulation model of subway station is established by using AnyLogic software, the simulation effect is studied, the main problems of passenger flow in the station are analyzed, and the optimization measures are put forward for the bottleneck problems, which provides the basis for the actual operation and management decision-making.

Study on spatial distribution and connectivity of Tusi sites based on quantitative analysis

The present study represents the spatial distribution and connection of Chinese Tusi architecture by using Thiessen polygons, fractal theory, and complex networks. The findings indicate that influenced by the concept of the Geomantic omen, the three Tusi sites share a significant degree of similarity in terms of location layout and architecture spatial distribution. Second, environmental factors play a dominant role in dividing network nodes into different clusters of aggregation, with minimal connectivity across clusters. Under the influence of social context, the network structure of the three sites exhibits multi-level centricity, with high-level building nodes, particularly administrative and religious structures, being extremely central. The spatial distribution and network connectedness of Tusi buildings show the merging of mountain nature and society, as well as the merger of ethnic minority cultures and the centralization system. Finally, this study suggests conservation and development strategies for the spatial morphology and network characteristics of Tusi sites.

Influence of hydrodynamic effects on dispersoid structural changes under microdisintegration

The purpose of the presented study is to give a theoretical substantiation of the formation process of a high-clay sand dispersoid from placers with a high content of fine and finely dispersed gold under changing hydrodynamic parameters of the hydro mixture flow by means of enclosing and reflecting surfaces of the proposed installation. The object of the research is the process of hydrodynamic disintegration. The subject of the study includes the main parameters of the hydrodynamic effect on the mineral environment and the destruction nature of high-clay sands under hydrodynamic conditions. While doing the research, the author used the methods for constructing a mathematical model of dispersoid transformation under hydrodynamic effect on the hydro mixture, analytical and numerical calculations. The analysis of the aspects of hydrodynamic phenomena and interactions made it possible to substantiate the dispersoid formation process based on the intensification of microdisintegration and to identify the characteristic impact factors as well. Based on the theory of changes in the thermodynamic potential of the system of particle surfaces under dynamic exposure, a method has been proposed for determining the hydrodynamic variation parameters of the hydromixture structural component in the closed cavity of the generator when interacting with the elements of the enclosing and reflecting surfaces. The performed numerical calculations allowed to reveal a significant increase in the specific interphase surface of the dispersoid of the mineral component. The interaction of the elements of enclosing and reflecting surfaces according to the proposed innovative layout of elements location in the generator under the directed supply of the hydromixture from the nozzle into a closed cavity resulted in the increase from 3 to 4 times. A new design of a hydrodynamic generator and a flow diagram have been introduced on order to activate the extraction process of microparticles of valuable components.

A state-of-the-art review and prospect of gas hydrate reservoir drilling techniques

Securing energy means grasping the key link in the national development and security strategy. Under the goals of carbon peak and carbon neutrality, the overall tendency of energy development is to increase the proportion of natural gas while stabilizing oil consumption, and the global primary energy is entering the era of natural gas. Gas hydrate in deep seabed shallow strata and extremely cold permafrost regions has piqued the interest of researchers due to its abundant resources, widespread distribution, and high energy density. Although the drilling of hydrate wells is still fraught with unknowns and challenges due to the technological barriers between countries, complex on-site working conditions, and unique physical chemical properties, accumulation forms, and occurrence characteristics of gas hydrate, more than ten successful trial productions around the world have opened the door of hope for the development of this potentially new energy. The gas hydrate reservoir drilling technique is the frontier and hotspot of scientific and technological innovation and competitiveness around the globe today, reflecting the level of oil and gas technical advancement. At the national level, it possesses strategic and revolutionary features. Innovative drilling techniques, scientific well location layout, appropriate wellbore structure and well trajectory design, efficient drilling fluid, qualified drilling and completion equipment, and successful pressure-temperature preserved coring may all provide a strong guarantee for the successful completion of gas hydrate wells. This review comprehensively reviews the drilling techniques and engineering measures that can be used to develop gas hydrate. It focuses on the research advancement of important hydrate drilling technologies and the enlightening significance of these developments in the application of hydrate drilling. This work will deliver valuable experience as well as comprehensive scientific information for gas hydrate exploration and drilling.

Development and Production of Artificial Test Swarf to Examine Wear Behavior of Running Engine Components—Geometrically Derived Designs

Subtractive manufacturing processes are usually accompanied by the occurrence of tiny flakes and swarf, which later on cause severe wear and damage, especially in moving components such as rolling or sliding bearings, pistons, etc. However, up until now, such detrimental effects have hardly been investigated. One reason is the lack of a definition of a typical design of debris particle. Therefore, the main goal of the project described in this paper was to elaborate a draft that defines standardized test particles. It had to be evaluated whether test particles could be adequately reproduced and whether they would reveal significant damage potential. Taking into account future mass fabrication, Micro Powder Injection Molding (MicroPIM) was chosen as a production method. Five different 3D designs of geometrically defined test particles were developed. The maximum size of each design was 1167 mm in green state; however, all samples shrank in size during sintering. Specially tailored feedstocks containing 42CrMo4 steel powders were used and the related molding, debinding and sintering procedures were developed. All particle geometries and related mold inserts were developed using a commercial software routine for the layout of runner systems, gate locations and ejector positions. The damage potential of the test particles was evaluated based on trials using journal bearing and shift valve test rigs. Although only a moderate degree of damage potential could be ascertained up until now, it can be expected that the artificial swarf will enable standardized wear test procedures to be developed.

Research on Monitoring of Gymnastics Facilities and Intelligent Optimal Distribution of Gymnastics Venues Based on Internet of Things.

In view of the low level of gymnastics facilities monitoring and intelligent management of gymnastics venues, which cannot effectively manage gymnastics venues in real time, this paper proposes a method of gymnastics facilities monitoring and intelligent optimization distribution of gymnastics venues in the Internet of Things. This paper will build an information monitoring model, introduce a particle swarm optimization algorithm to participate in the location layout, and explore the actual effect of gymnastics and the Internet of Things. The research results show that (1) the system can measure the mechanical error of facilities and ensure that the controllable fault tolerance rate is less than 1%. (2) The quality of system monitoring is evaluated in accuracy, time, delay, and satisfaction, and the results are basically satisfactory, but the accuracy and time still need to be improved. (3) Using the evaluation system of sports facilities to test the temperature, humidity, facility pressure, and energy consumption suitable for gymnastics and to verify the injury tendency of athletes. When the damage tendency is between 70% and 100%, the actual damage rate is 1. (4) The speed of the PSO algorithm is faster than other methods, which is used to optimize the layout of gymnastics venues and has a certain role in promoting the construction of gymnastics venues. The system model designed in this paper performs well in gymnastics and needs to be further improved and optimized.

Assessing the economic premium of electric vehicle charging points: a hedonic price analysis in Beijing, China

Electric vehicle charging points (EVCPs) are the foundation of the EV industry and are conducive to low-carbon transportation development. Research on EVCPs mainly focus on operation profits and layout, while no study assesses their economic premium. Aiming at providing a reference for the installation of EVCPs, this study employs a hedonic price model to evaluate the economic premium of CPs, based on apartment transactions and complex data on CPs in 2015 and 2016 in Beijing. The primary findings indicate the economic premium of CPs is significantly positive in both housing sale and rental markets. However, the impact of CPs on housing prices is heterogeneous in terms of complex floor area ratio and location. Specifically, the premium effect of CPs is more significant in larger complex and complex in the suburb. Following the above conclusions, we provide several policy pathways to promote the construction of CPs and their scientific location layout.

A comparison of design-based and model-based approaches for finite population spatial sampling and inference.

The design-based and model-based approaches to frequentist statistical inference rest on fundamentally different foundations. In the design-based approach, inference relies on random sampling. In the model-based approach, inference relies on distributional assumptions. We compare the approaches in a finite population spatial context.We provide relevant background for the design-based and model-based approaches and then study their performance using simulated data and real data. The real data is from the United States Environmental Protection Agency's 2012 National Lakes Assessment. A variety of sample sizes, location layouts, dependence structures, and response types are considered. The population mean is the parameter of interest, and performance is measured using statistics like bias, squared error, and interval coverage.When studying the simulated and real data, we found that regardless of the strength of spatial dependence in the data, the generalized random tessellation stratified (GRTS) algorithm, which explicitly incorporates spatial locations into sampling, tends to outperform the simple random sampling (SRS) algorithm, which does not explicitly incorporate spatial locations into sampling. We also found that model-based inference tends to outperform design-based inference, even for skewed data where the model-based distributional assumptions are violated. The performance gap between design-based inference and model-based inference is small when GRTS samples are used but large when SRS samples are used, suggesting that the sampling choice (whether to use GRTS or SRS) is most important when performing design-based inference.There are many benefits and drawbacks to the design-based and model-based approaches for finite population spatial sampling and inference that practitioners must consider when choosing between them. We provide relevant background contextualizing each approach and study their properties in a variety of scenarios, making recommendations for use based on the practitioner's goals.

Analysis on Spatial Distribution Characteristics and Configuration of Tourist Hotels Based on Artificial Intelligence Technology

As one of the three pillar industries of tourism, the hotel industry has developed rapidly in recent years, especially the construction and development of urban star hotels. The major star hotel brands have poured in one after another, and a large amount of funds have been invested in the star hotel market. The continuous construction of various types of star hotels has formed the geographical agglomeration phenomenon of star hotels in Chinese cities. This phenomenon has not only brought the advantages of regional economies of scale and brand building, but also brought the competition between star hotels. Under the guidance of market demand, tourism can be created through industrial integration and functional combination to develop the tourism industry, which makes the spatial distribution of tourism hotels closely related to transportation, consumer demand, urban environment, and even industrial policy. In recent years, artificial intelligence methods are more and more applied to tourism, mainly including rough set method, genetic algorithm, fuzzy time series, grey theory, artificial neural network, and support vector machine. Based on artificial intelligence technology, this paper studies the spatial distribution characteristics and configuration of tourism hotels. The distance of the peak value of tourism hotel spatial distribution characteristics is 4.8 km and 6.6 km, respectively, and the distance of the peak value of natural tourism resources is 0.98 km. Because the spatial distribution characteristics of cultural, special, and tourism hotels are restricted by their own quantity, resource endowment, and inherent attributes, the spatial scope of location layout is relatively small. The spatial distribution characteristics and configuration of tourist hotels can also timely monitor and prevent various emergencies, prevent tourism safety accidents, and improve the ability of tourism emergency management by using artificial intelligence and other technologies. With the continuous optimization of artificial intelligence technology and the deepening of cooperation between tourism disciplines and interdisciplinary, the research on tourism big data driven by research problems will be more mature.

Research on Location Characteristics of UCF Layout Based on DNSCAN Algorithm

Since the reform and opening up, the prosperity of culture has always been the strong desire of the party and the country, and repeatedly put forward the goal of improving the public cultural service system (PCSS), requiring priority development of infrastructure construction related to the vital cultural interests of the people. Urban cultural facilities (UCF) are an important material basis in the cultural service system. The essential assurance for achieving the goal of developing a PCSS that covers the entire community is to improve the layout of cultural facilities (CF) and to allocate CF in a scientific and reasonable manner. This research examines the geographical layout characteristics of CF in Xiamen using POI data from libraries, art galleries, and museums crawled by Baidu API and spatial statistical tools such as ArcGIS. Taking the interest points of cultural promote serving residents as research objects, the advancement of spatial pattern of CF in Zhengzhou in 2007 and 2017 was quantitatively analyzed by using standard deviation ellipse and kernel density analysis. The paper compares and analyzes the location distribution characteristics of museums, libraries, cultural centers, art galleries and theaters from two aspects of macro spatial form and microgathering center. Residents’ behavioral characteristics are introduced to examine the influence on the spatial form of CF, and appropriate suggestions are made for the planning and development of CF in Zhengzhou, based on large-scale field survey data and geographical detectors. This article, on the analysis of the state and international public facilities location layout on the basis of optimization study, starting from the present circumstances of urban public sports facilities layout, puts forward the geographic information system (GIS) technology and local approximation (LA) model is introduced into urban public sports service facility location, using DNSCAN network analysis function of urban public sports facilities in site selection and layout optimization, Provide a new method for site selection of sports facilities. And the actual case analysis, in order to provide a reference for the future location layout of public service facilities. Zhengzhou cultural resources through the establishment of GIS database, investigation, cultural needs, put forward the planning should not only include public CF, CF planning should also include the cultural heritage, cultural creative industry, and put forward the development strategy of the construction of the overall urban culture network, realize the cultural space planning and career planning, the fusion of the culture industry planning.

Digital Twin-Driven Reconfigurable Fixturing Optimization for Trimming Operation of Aircraft Skins

The incomplete constraint induced by multipoint reconfigurable fixturing and the inherently weak rigidity of thin shell parts significantly hinder the stability of flexible fixturing systems. In particular, during the trimming operation, the number of effective locators may change with the progressive separation of the desired shape from that of the blank part, which easily produces the cliff effect (instantaneous dramatic reduction) of the system stiffness. As a result, the location layout becomes a main crux in reality. Regarding this issue, the author herein presents a digital twin-based decision-making methodology to generate reconfigurable fixturing schemes through integrating virtual and physical information. Considering the intrinsic features of the trimming process, such as the time-varying propagation of the system stiffness and the coupling effects of multiattribute process parameters, the hidden Markov model was introduced to cope with reconfigurable fixturing optimization. To achieve fast convergence and seek a feasible solution, local information (where low system rigidity occurs) was extracted and shared to guide the optimization process in a front-running simulation. To demonstrate the presented method, trimming experiments were performed on a large-size compliant workpiece held by a reconfigurable fixturing system that was developed independently by our research group. The experimental results indicate that the proposed method could adaptively iterate out the optimal locating schema and process control reference from the virtual fixturing and trimming simulation to guarantee the time-varying stability of the trimming process in the real world. Clearly, the digital twin-based reconfigurable fixturing planning approach generated a high possibility of building a context-specific, closed-loop decision-making paradigm and allowing the reconfigurable fixturing system to behave in a more adaptable and flexible manner.