Evaluation of TOD rail station connection design based on analytic hierarchy process and cloud model

In Indonesia, education funding provided by the central government is made up of the components of personnel costs, investment costs, and operating costs. Since its implementation in 2005, the program has found several obstacles. It’s crucial to have an optimization tool to overcome the complications. The main problems that have arisen in the allocation of these funds so far have been lacking in planning and the lack of participation of the school ecosystem, in particular in determining the planning, planning documents and the priority scale of the projects. Program and activity plans based on the School Operating Assistance (BOS) platform. The Analytical Hierarchy Process (AHP) model is a prioritization approach based on determining the priority scale on the comparison of one option with another. The AHP model is a powerful but simple method that is usually used to make decisions. This approach has been implemented in various sectors, business, government, management, and education. In this study, the AHP model was used to determine the priority scale on the criteria of BOS allocated funds in the current year so that it could be absorbed optimally and can be utilized properly in its implementation for Vocational School activities. The results of the study show that the use of AHP makes it easier for school residents to prioritize the use of funds for school activities. Using the AHP model allows managers to record strategic goals using weighted criteria as the basis for prioritizing the use of funds. AHP can also work among different stakeholders in the school (principals, treasurers, teachers, and committee, parents/guardians) to participate in decisions about the use of BOS funds, to improve the quality and form of decision support taken to improve school performance.

The analytical hierarchy process (AHP) and frequency ratio model (FR), along with the integration of GIS, have proven to be successful approaches for assessing flood-prone areas. However, in Nepal flood vulnerability mapping based on GIS decision analysis is limited. Thus, this study focused on comparing the data-driven FR method and expert knowledge-based AHP technique in a GIS environment to prepare a flood vulnerability map for the Bagmati River basin, helping to explore the gap in flood vulnerability mapping methodologies and approaches. By combining all class-weighted contributing factors, like elevation, precipitation, flow accumulation, drainage density, soil, distance from the river, land use land cover, normalized difference vegetative index, slope and topographic wetness index, the study evaluated the efficiency of FR and AHP in assessing flood vulnerability maps. An inventory map of floods containing 107 flood points was created. Subsequently, the flood vulnerability maps generated using FR and AHP models revealed that 9.30% and 11.36% of regions were in highly vulnerable areas, respectively. Receiver operating characteristics validated the model outcomes, indicating that the FR model’s accuracy of 91% outperformed the AHP model’s 84% accuracy. The study findings will assist decision-makers in enacting sustainable management techniques to reduce future damage in the Bagmati basin.

‘Green’ is the magic word in today’s world. Many different fuels and fuel motors are being developed, assuming they will be adopted and used in the future as an alternative to fossil-fuel-based technologies. But many questions still remain unanswered. Is there going to be a supply problem? Is the ‘Running out of fossil fuels’ scenario merely a hype? Do we have any green alternative that can be adopted on a mass scale? Is there any alternative fuel capable of giving all the benefits of current fossil fuels and simultaneously eliminating pollution and price problems? And many more such questions! Alternative fuel development research arose from the perennial uncertainty in oil prices. This chapter attempts to study the reasons behind oil price fluctuations, believing them to be the root of the problem. Then the Analytic Hierarchy Process (AHP) model is presented. The AHP model has different levels, like a tree, the lowest level displaying all the alternatives to the problem. Each type of alternative motor fuel is briefly explained. Issues such as cost and the pollution impact, are assessed for each. Then, in the next level of the AHP model, the criteria are presented. Criteria include the different factors that have an impact on the adoption of each alternative. Economic, cultural, environmental, sustainability and development time criteria are considered. Finally, in the uppermost level of the AHP tree model is the goal: to find the best motor fuel for the future. To prove the robustness of each alternative fuel, four different scenarios are used, and quantitative results for each scenario are presented. It is hoped that the quantified values for each alternative might give us an idea of where the solution lies.

Mid-long term load forecasting is a critical component in power system planning and operation. Aiming at the characteristic of it bring forward a comprehensive model basing on three target quantities which involve target gross quantity and target increase quantity and target increase rate. At first construct an analytic hierarchy process (AHP) model to analyze and appraise three target quantities dividedly, and pick up best prediction models for them. And then synthesize three selected models' forecasting results to the final prediction result using radial basic function neural network (RBFNN), whose input data involve GDP of forecasting object in addition. AHP model integrates the forecasting error and fitting accuracy of models and introduces man's influence successful which are expert trusting of models and trend reliability of model forecasting results. AHP model analyzes history data which are most nearby to the forecasting time and therefore is better real-time. Experiment results show that the comprehensive model is provided with high forecasting precision and achieves satisfactory results in application.

Based on the analytic hierarchy process (AHP) model, this paper proposes a new evaluation system for vocational college students’ professional quality. By constructing the core literacy framework and specific evaluation index system, TOPSIS evaluation model is used to calculate the evaluation value of students’ core literacy, and analytic hierarchy process model is used to divide students into different types. The experimental results show that the evaluation of core literacy of all kinds of students is generally low, especially in social competence. The prediction accuracy of the model reached 98.9061%. The research shows that the evaluation model is feasible and effective in the quantitative evaluation of vocational students’ professional quality.

By the effect of globalization, products, services, capital, technology, and people began to circulate more freely in the world. As a conclusion, in order to achieve and gain an advantage against competitors, manufacturing firms had to adopt themselves to changing conditions and evaluate their critical performance criteria. In this study, the aim is to determine general performance criteria and their characteristics and classifications from previous studies and evaluate performance criteria for a plastic packaging organization by utilizing analytic hierarchy process (AHP) modeling. A specific manufacturing organization, operating in the Turkish plastic packaging sector has been selected and the manufacturing performance criteria have been determined for that specific organization. Finally, the selected criteria have been assessed according to their relative importance by utilizing AHP approach and expert choice (EC) software program. As a result of this study, operating managers chose cost, quality, customer satisfaction and time factors as criteria for this organization. As the findings of the study indicate, the manufacturing organization operating in the plastic packaging sector, overviews its operations and measures its manufacturing performance basically on those four criteria and their sub criteria. Finally, relative importance of those main measures and their sub criteria are determined in consideration to plastic packaging sector.

Many regions throughout the United States are turning to various smart growth concepts, including transit-oriented development (TOD), to address a variety of concerns. Public agencies in the Portland, Oregon, region were early adopters of policies to promote TOD. More than 300 residents of TODs near four rail stations in the Portland area were surveyed about their travel behavior. The neighborhoods were selected to represent a range of styles of TODs while controlling for income. All the TODs surveyed were market-price units, most of them for sale, generally marketed to higher-income households. None of the neighborhoods completely satisfies agreed-on standards for good TODs: higher density, good land use mix, pedestrian friendly, and close to transit. The research found that households in the neighborhoods tend to be smaller than in the surrounding cities and often are without children. The residents of the surveyed TODs are not transit dependent, although they did commute by transit at a significantly higher rate than residents city-wide. The physical features and locations of the TODs did not appear to affect levels of transit commuting but did influence access mode to the station and transit use for noncommute travel. Distance to a rail station and parking pricing were important factors in commute mode choice. Respondents also reported using transit more than they had at their previous residences.

Most of the techniques related to part family formation require precise numerical data for part's features. However, in many situations, the parts features are too ill-defined and are too susceptible to analysis by traditional discrete methods. Fuzzy set theory allows the parts to belong to different groups with different memberships. Moreover, different attributes may not have equal importance. The AHP (analytical hierarchy process) model gives the weightage for different attributes and also checks the consistency of the judgements. This paper suggests two models for part family formation using fuzzy mathematics and the AHP model. One model is based on fuzzy logic and AHP and the second model uses fuzzy equivalence ratios and AHP. Models can be integrated with the existing coding systems used by organizations. Both models are validated using problems from literature.

Based on the regional engineering geological environment conditions, the thesis divides the engineering geological environment evaluation types into single-element evaluation and comprehensive evaluation, and uses analytic hierarchy process and fuzzy mathematical model to carry out comprehensive evaluation of engineering geological environment. On the basis of single-element evaluation, comprehensively analyze the factors that affect the stability of the site, the factors that determine the stability of the foundation, the degree of groundwater impact, and the factors of the drainage conditions of the site. In order to conduct a comprehensive analysis. Finally, combined with the results of single factor evaluation and comprehensive evaluation, it analyses it impact on the cross-border e-commerce industrial environment of the free trade zone.

Bees and other important animals are vital to human survival on the earth. They not only produce delicious honey, but also play an indispensable role in plant pollination, making a unique contribution to the world. The bee population reduction crisis is known as a global problem of sustainable development goals. To consider the factors that can influence the size of honey bee populations and how these factors can affect the size of honey bee populations, we will use the most basic evaluation model. Given the need to accurately calculate the weight of each factor, we use the Analytic Hierarchy Process (AHP) model. In order to analyze the results of the AHP model, we will list our variable factors, apply the AHP model and use sensitivity analysis on it. Also, to predict how many honeybees hives you will need to support pollination of an 81,000 square meters parcel of land containing crops that benefit from pollination. we consider to use Markov Chain Monte Carlo (MCMC) model, which can indicate a stationary distribution to the attendance rate of the bees after n times.

Human settlements are under threat on both sides of the Torsa River due to channel migration and associated bank erosion. The present study focused on the identification of suitable sites for human habitation in the lower segment of the Torsa River basin, Eastern India. Analytic Hierarchy Process (AHP) model was applied to integrate slope, altitude, distance from rivers and fault lines, drainage density, land use/land cover, distance from channel migration zone (CMZ), and bank erosion vulnerability zones as well as to explore suitable habitation sites. Bank erosion hazard index (BEHI) and near bank stress (NBS) techniques were used to prepare bank erosion vulnerability zonation map. The CMZ map was prepared by superimposing the Torsa River courses for the year 1913, 1943, 1955, 1972, 1977, 1990, 2001, 2010, 2013, and 2018. A total of 182 cross sections were selected to derive data from 364 locations to assess stability character of the river bank applying BEHI and NBS techniques. The study of channel migration since 1913–2018 revealed that a total 37 villages out of 109 are severely vulnerable to bank erosion processes. The prepared site suitability map comprising the area of 413.33 km2 showed that 23.33 km2, 68.61 km2, 122.46 km2, and 198.96 km2 are characterized by good, fair, poor, and not suitable for human habitation respectively. About 5.65% of the total area of 413.33 km2 of the study reach is very much suitable for human habitation.KeywordsBank erosionBEHI-NBSAHPHabitat suitabilityRemote sensingGIS

Aligning supply chain collaboration using Analytic Hierarchy Process

Enterprise Resource Planning (ERP) systems are popular as an IT enabled tool, which integrates different functional areas of business. ERP systems are implemented as a total business solution that supports major functionalities of business. However, many of the implementations are not success stories. Most post implementation problems are due to the inappropriate selection of systems. This paper describes multi-criteria decision model using Analytic Hierarchy Process for the selection of ERP systems for manufacturing companies. First, ERP evaluation criteria are developed by using past literature and through a questionnaire distributed among Sri Lankan manufacturing companies. Seven major criteria are identified and under each criterion several sub-criteria are identified. Selection of the best suited ERP system leads to a multi-criteria decision making problem as ERP systems should be evaluated based upon many criteria. Using the identified main and sub criteria, an Analytic Hierarchy Process (AHP) model is developed for ranking the ERP software. An example of a case is presented to show the actual implementation of AHP model. Expert Choice software is used to solve this AHP model.

This present study primarily focuses on the susceptibility analysis of the settlement area and metalled road based on the susceptibility index maps/susceptibility zonation maps. Susceptibility index maps were prepared using thee recognized techniques, i.e., frequency ratio (FR), analytical hierarchy process (AHP), and logistic regression (LR) models. Elevation, slope angle, slope aspect, slope curvature, stream power index (SPI), topographic wetted index/compound topographic index (TWI/CTI), land use/land cover (LULC), normalized differential vegetation index (NDVI), lineament number density, distance from lineament (D2L), drainage density (DD), distance to drainage (D2D), geology, soil, and rainfall were incorporated for the preparation landslide susceptibility zonation maps. The prediction accuracy of three aforesaid models was 93.6, 89.3, and 94.7%, respectively. The result indicated that the total settlement area and metalled road lengths were 48.84 km2 and 314.38 km, respectively, within basin boundary. Settlement areas of 33.11, 35.28, and 60.39% were located on the very high susceptibility zones based on the FR, AHP, and LR models, respectively. Similarly, 57.61, 17.25, and 3.08% metalled road out of total road length were found on the very high susceptibility zones based on the aforesaid three models, respectively. Total 130 mouzas fall within the basin boundary; out of these, the most vulnerable mouza was Bara Adalpur Dwitiya Khanda under Matigara block because 100% of the settlement area falls in the category of very high susceptibility zones on the basis of FR model. Dhajea Tea Garden and Manjua Forest mouza under Jorebunglow Sukiapokhri and Mirik block, respectively, were most susceptible to landslide hazard in respect of road based on the AHP model. The findings of the research can be utilized to prioritize risk management so that the losses and damages of properties and lives can be minimized due to future landslide event.

Assessment of valorisation opportunities for secondary metallurgy slag through multi-criteria decision making