Implementation Of Analytic Hierarchy Process Research Articles

Framework for Strategic Selection of Maintenance Contractors

Selecting the right maintenance contractor is crucial for efficient operation and project success. Traditionally, this selection has been cost-driven, but the ever-growing complexity of projects has led to a shift towards best-value selection. The best value selection criteria evaluate the contractors based on factors like experience and past performance, along with the proposed cost. However, this approach lacks substantiated knowledge of these factors and often includes factors that cannot be validated at the time of procurement. This paper proposes a framework that applies the Analytical Hierarchy Process (AHP) to the maintenance contractor selection process. A detailed literature review was carried out to identify factors involved in maintenance selection. Data were collected from experts through a questionnaire developed based on the identified factors, facilitating AHP implementation. Substantiation strategies were identified using expert judgments. Our findings reveal that past performance criteria hold the maximum weight in the selection process. The proposed framework offers a more comprehensive approach for selecting maintenance contractors, ensuring both value and efficiency.

The Implementation of Analytical Hierarchy Process to Choose the Best Solution to Increase Mould Maker Profit

Mould Maker is a company that buy and sell machine for their main business activity. Mould maker have long time machine waiting time to be sold and have low profit margin. The longer the time taken by a machine to be sold, the higher the maintenance cost for the machine. Besides, Mould Maker always purchase machines for their stock in every offer that comes to Mould Maker, so they have overstocked machine in their workshop. With many and vary type of machines that they have, Mould Maker can utilize the machines to increase their profit margin. Mould Maker have good business environment from the external factor analysis. As for internal analysis, Mould Maker still have room for improvement, some of them are the number of their stock and the number for decision maker. Caused by their low profit margin, Mould Maker cannot hire high value employee to be one of the decision makers. The problem that Mould Maker face is how to improve their profit by utilizing the machines that they have. Further analysis needed to solve this problem. The SWOT analysis used to find some strategies and need to be fit with the problem faced by Mould maker. The strategies that able to be implemented are rent their machine, accepting manufacture order, improving stock policy, boost marketing strategy, and purchasing car to help Mould Maker to sell their product. From the strategy alternatives, AHP method is used to choose the best strategy. With AHP method, the best solution can be chosen by considering the value from each consideration criteria. For this research, the best solution proposed by AHP method is to accept manufacture order.

The Implementation of Analytical Hierarchy Process to Choose the Best Solution to Increase Mould Maker Profit

The Implementation of Analytical Hierarchy Process to Choose the Best Solution to Increase Mould Maker Profit

A Preliminary Validation and Assessment of a GIS Approach Related to Precision Forest Harvesting in Central Italy

There has been a growing awareness of the need for sustainable forest management among forest engineers during the last decades. The selection of the best harvesting system for logging operations plays a fundamental role in this effort. Nowadays, in the decision-making process, forest engineers rely on their own experience, and it is to be expected that their evaluation of the level of appropriateness may be biased. There may be a potential solution to this problem in the implementation of AHP (Analytic Hierarchy Process) in the GIS (Geographic Information System) environment. The application of AHP gives objective information and thus reduces the level of bias in deciding which logging harvest system is best to use. The aim of this study was to evaluate the reliability of a GIS-AHP approach applied to the development of the harvesting plan of a public forest estate in Central Italy. Three extraction methods were considered: forwarder, cable skidder, and all-terrain cable yarder. Thus, the GIS-AHP model was run by relying on the basic data attainable from the local forest management plan and then on detailed information provided by field data collected from 10 harvested blocks. Among these, in three blocks, the logging harvest method was changed from forwarder to cable skidder. Statistically significant differences were found between the suitability values obtained from the forest management plan and those retrieved from the field surveys for the forwarder and cable skidders but not for all-terrain cable yarders.

Implementation of Analytical Hierarchy Process for Recommendations of Islamic Venues

Walimah is an event that is carried out as an expression of gratitude after the ceremony is held, such as preparing a banquet for invited guests. Constraints that often occur by many prospective partners are experiencing difficulties in finding a wedding location that fits the needs and criteria that are considered according to the Sharia. So that many of them prepare all their Islamic wedding needs through a syar'i wedding organizer, one of which is related to Neosmotion Studio. Neosmotion Studio is a studio company that is directly related to wedding organizer syar'i in implementing the syar'i walimah. From this problem, it is necessary to have a method to get a recommendation for a location in accordance with the criteria for the bride and groom. The method used in this research is Analytical Hierarchy Process (AHP) by involving alternative places and criteria which are weighted and normalized in determining them. The results of this study obtained, the value of the highest criteria weight includes distance to the mosque (38.76%), cost (31.24%) and facilities (12.13%). From the prioritized criteria, we obtained recommendations for locations in various areas of DKI Jakarta, such as the At Taqwa Mosque in South Jakarta and the Sunda Kelapa Grand Mosque in Central Jakarta with a final score of 91.2775, the Manarul Amal Mosque in West Jakarta with a final score of 94.8514 and the Baitus Mosque. Greetings in East Jakarta with 89,7780.

AHP-based multi-criteria decision-making for forest sustainability of lower Himalayan foothills in northern circle, India-a case study.

Forest degradation is a major issue worldwide. The study area, situated in the lower Himalayan foothills of northern India, is also witnessing the same. A ground survey of the area revealed that socio-economic factors are a major cause of forest degradation. Therefore, sustainable forest management is required to maintain forest resources and health. This study aims to develop the most suitable and agreeable alternatives for ensuring the sustainability of forest use, increase economic benefits, and improve the living conditions of the people surrounding the forest area. This study uses the analytical hierarchy process (AHP) as a decision-making method. A pre-test was conducted prior to the main survey, which helped validate the questionnaires and deliver more reliable survey responses. The authors identified three criteria (C) and nine indicators (I).The pre-tested criteria and indicators arranged in hierarchical order were prioritized by applying the AHP. A list of 36 alternatives (A) was prepared in ascending order to select the best alternatives and was used to make suitable judgments for enhancing forest management efficiency. C, I, and A were developed based on a literature review, pre-test, and questionnaire-based field survey that recorded the preferences of different stakeholders. The survey was conducted in 77 fringe villages surrounding the forest and responses were collected from 302 respondents. The overall AHP implementation was simplified using "Super Decisions." The results advocate adopting valid options such as afforestation, agro-forestry, plantation, forest boundary demarcation, capital investment, and others to strengthen the sustainable development of the region. Furthermore, some of the major findings were shared with decision-making authorities (forest officials and village representatives). The stakeholders realized the need to accelerate participatory forest management practices, capacity building, and training of the local populations, together with other options to improve their livelihoods.

Implementation of Analytical Hierarchy Process (AHP) Method In Determining Expedition Services at the Market Place

The delivery of goods is an important part, where the seller's efforts in sending the order package reach the consumer and become a satisfaction for consumers to be able to reason again. Decision-making is often faced with a number of confusing choices, especially in the selection of expedition services. The selection of acquisition services is the main point in supporting business processes. The purpose of this study provides more important criteria for determining alternative expedition services. This research used the Analytical Hierarchy Process (AHP) Method. Pairwise comparison questionnaires are given to obtain the degree of importance of the criteria. Price Criteria are the highest criteria in this study compared to location criteria, services and responses. Meanwhile, the response criteria that have sub criteria for claiming goods are more important than the sub criteria for ordering and tracking goods while the service criteria where in the sub criteria for losing goods are a more important condition than damage to goods, speed of delivery criteria . These criteria are used to determine the best choice of expedition services so that from the calculation results of the three alternatives obtained the top ranking with a value of 0.546933. Keywords : AHP, Expedition Services, Market Place

Landslide hazard, susceptibility and risk assessment (HSRA) based on remote sensing and GIS data models: a case study of Muzaffarabad Pakistan

The notion of this research is based on the two devastating earthquake events that happened on October 8, 2005, and September 24, 2019, in the regions of Azad Kashmir and Muzaffarabad. This study aims to (i) identification of the susceptible zones where landslides can occur in the future; (ii) preparation of landslide inventory maps using vector data, satellite imagery, Shuttle Radar Topographic Mission (STRM) and Advanced Space-borne Thermal Emission and Reflection Radiometer (ASTER) DEM; (iii) implementation of Analytical Hierarchy Process (AHP) model using weighted overlay analysis (WOA). For this purpose, key factors such as land use, faults, slope, contours, soil, and seismology maps are used to develop a landslide hazard zonation map. The output landslide susceptibility map has four susceptibility levels such as low, medium, high, and very high vulnerable zones. The results indicated that a highly susceptible landslide zone is found in the northwestern part of Muzaffarabad, which is a metropolitan region. Moreover, there are 127 active landslides are identified and collectively about 9% of the study area is very highly susceptible to future landslides. Furthermore, research findings are helpful in tactful thinking for future infrastructure development, and ecological protection in high-susceptible landslide regions in Muzaffarabad. It also helps the Government to make strategies based on any specific zones on a priority basis to reduce the casualties and destruction in future landslide events.

Selection of green composite materials for orthopedic prosthesis using analytical hierarchy process

A multi-criteria decision-making technique known as Analytical Hierarchy Process (AHP) is used to carry out the selection of the most appropriate constituent types of green composites, i.e., natural fibers and biopolymers. To perform AHP, six alternatives for each constituent of the green composite are selected, and a pairwise comparison is performed. The main criteria were considered the same for both natural fibers and biopolymers. However, for sub-criteria, 11 parameters were selected for natural fibers and nine parameters for biopolymers. The methodology is outlined for the implementation of AHP in material selection and performing simulations for finite element analysis (FEA). MATLAB is used to execute the AHP. However, for the synthesis of green composite, FEA was done on the model made of top-ranked constituents of green composite to test its mechanical characteristics and compare with the properties of the cortical bone using ANSYS. The AHP results ranked coir and polyglycolic acid as the most appropriate constituents among the considered alternatives for making a green composite by attaining an overall priority of 0.2390 and 0.2209 respectively. The consistency ratio for the selection fibres is less than 10% making the AHP results acceptable. On the other hand, consistency ratio in selection of biopolymers is 0.14 > 0.1 and the reason for this slight increase is due to the negative glass transition temperature values. The simulation results showed that the coir/PGA composite has a reasonable tendency to be used in bone plate implants.

Implementation of AHP and SAW Methods for Optimization of Decision Recommendations

Differences in interest in decision making are one of the things that must be facilitated in decision support applications. The most basic difference of interest in decision making is the difference in the weight of the importance of each criterion used. Each decision maker has their own interest in the criteria used. If these differences can be facilitated properly, the resulting decision recommendations can be optimal, in this case more in line with the interests of the users. The model is designed using the Analytical Hierarchy Process (AHP) and Simple Additive Weight (SAW) methods, using 5 criteria. The final result of the AHP method is in the form of criteria weights that are in accordance with the interests of decision makers and in accordance with the consistency of the comparisons that have been given. The resulting weight will be used in the final calculation of SAW, namely in the calculation of alternative weights. By using AHP, the weight of the criteria becomes more subjective according to the interests of decision makers. Thus, the resulting alternative recommendations become more optimal because they are in accordance with the needs of decision makers.

Implementation of Analytical Hierarchy Process (AHP) and Simple Addative Weighting (SAW) methods in the process of determining teacher certification participants

Teacher certification is a process of improving the quality and competency testing of educators regulated by the government through ministry of education. the education office, which it provides teacher certificates that have been declared to meet professional standards. It would not happen if the assessment is carried out using an effective method in selecting teacher certification participants. The purpose of this research is to make a decision support system by applying 2 methods, namely Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods.

Framework Development of an Asset Manager Selection Based on Risk Management and Performance Improvement Competences

This research focuses on proposing a framework based on an analytic hierarchy process (AHP) for the selection/evaluation of managers in the field of asset management. A hierarchical structure is constructed, encompassing the set of competences under the role of risk management and performance improvement of the Institute of Asset Management’s (IAM’s) competences framework. It also describes the AHP implementation and illustrates the entire process with an example that uses IAM competences as model criteria. A sensitivity analysis is also carried out to confirm the robustness of the proposed methodology. As per the findings, the AHP was proven to be a usable and reliable method in selecting the most appropriate asset manager. Therefore, it can help organizations to plan and develop the competences they need to meet current and future needs. This study is among the few studies that focus on competence requirements for people working in asset management. As such, a novel approach for selecting managers in the field of asset management is proposed by this study.

Vendor Selection by Analytic Hierarchy Process (AHP) in Livestock Trading Ecosystem

As livestock plays a very crucial role in Indian economy. Livestock trading in India is very unstructured. The Buyer can be farmer or Diary farm owner who wants to procure a livestock. In this research the Livestock which is considered is the Murrah buffalo belong to water buffalo (Bubalus bubalis) breed which are mainly kept for milk production. The buyer is available with 8 suppliers which are fulfilling the same criteria of the breed. The Suppliers are divided into two segments, large scale supplier and small scale supplier. The supplier having more than 10 livestock of same breed has been considered large scale supplier, and the supplier having less than or equal to 10 has been considered small scale supplier. As competition is increasing every day the procurement activities are highly important. So, Multi criteria decision making approach has been used. Specifically, Analytic Hierarchy Process has been used for the selection of vendor among the alternatives available. In this research three criteria, seven sub criteria and eight alternatives has been evaluated. All vendors are ranked according to the result obtained from the AHP to aid the decision making. By implementation of AHP we were able to obtain the best fit vendor. AHP is a practical tool used for aiding the decision making when there are too many parameters. In Livestock trading ecosystem this tool will help in decision making

Analytic hierarchy process applied to landslide susceptibility mapping of the North Branch of Argentino Lake, Argentina

In the present study, we achieved the susceptibility mapping to slope instability processes by the implementation of Analytic Hierarchy Process and Weighted Linear Combination methods, in the North Branch of Argentino Lake, Southern Patagonian Icefield. The strong retraction of the glaciers in the area has triggered paraglacial readjustments, producing instability processes that favor the generation of mass removal processes. The results obtained from optical satellite images show that the highest degrees of susceptibility (4 and 5) are located on the western slopes of the Upsala Channel, Bertacchi and Cono Tributary Glaciers, and the Moyano and Norte Valleys, respectively. These slopes coincide with the geographic location of previous events surveyed by the inventory of unstable areas of the zone. Low degrees of susceptibility are found on the downhill valleys, outcrops rock and glaciers. The Consistency Ratio was 0.069, indicating that being less than 0.1 the study is reliable. The study sheds light on the knowledge of slopes and valleys that are more susceptible to processes of instability in mountainous areas, which would make it possible to prevent possible hazards associated with these events.

Selection of optimum biological treatment for coking wastewater using analytic hierarchy process

The design of biological treatment process for the coking wastewater (CW) is complicated since wastewater treatment demand is gradually increasing lacking the systematic strategy in efficiency evaluation and advisable selection. Therefore, this study develops a holistic approach by means of the analytic hierarchy process (AHP) that uses numerical representation to rank the preferences of each participating alternatives for evaluation of the advanced biological technologies in CW treatment. Based on survey results, six types reactor combinations were selected as the alternatives, which were further classified as two group according to COD load. The AHP methodology consists of weighting and ranking procedures considering technical, economic, environmental and administration factors defined as criteria layers. Eighteen indicators were chosen as sub-criteria layers. Inclusively beneficial and sustainable biological processes were assessed and ranked along the AHP implementation. The results placed technical indicators to the top position among the criteria layers in the weighting descending order ‘technical indicators > economic indicators > environmental indicators > administrative indicators’, whereas the weight of indicators in sub-criteria layers fitted in the range of 0.005 to 0.151. The inclusive priority calculation integrating all weight indices of criteria and sub-criteria layers resulted in the anaerobic-anoxic-oxic (A/A/O) combination rising in the hierarchy of the low load group, whereas the oxic-hydrolytic-oxic (O/H/O) process was prioritized in the high load group. The accuracy and objectivity of AHP application was also supported by sensitivity and variability analyses that examines a range for the weights' values and corresponding to alternative scenarios.

The role of the analytic hierarchy process (AHP) algorithm in health care services

Improvement in quality health care has now become a must that both developed and developing countries work on improving their health care system, especially in midwifery emergencies, using information systems. UNICEF has developed a midwifery referral system with its program known as Expanding Maternal and Newborn Survival to speed up the referring process. AHP is one of the information system procedures that support decision making to speed up the determination of health care facilities. This research discusses some journal articles by conducting a detailed analysis of their preliminary studies, research objectives, achievement indicators, variables, and methods used. It is expected that readers can briefly learn some benefits of AHP in health care. This research employed the PRISMA protocol guidelines. Chosen journal articles are full papers published in reputable journals. Inclusion and exclusion criteria were also implemented in choosing proper journal articles for this systematic literature review. It is found that the implementation of AHP in any type of health care service has proven to be very effective. It is expected that this literature review can serve as a reference for the implementation of AHP in health care based on practice evidence.

Implementation of Analytic Hierarchy Process for Determining Priority Criteria in Higher Education Competitiveness Development Strategy Based on RAISE++ Model

Analytical Hierarchy Process (AHP) is a decision-making method in the decision-making system with an objective for determinant the best choice from the alternative. The alternatives would choice in this research is the priority criteria in higher education competitiveness development strategy. In this research use criteria base on the RAISE++ model are Relevance (R), Academic Atmosphere (A), Internal Management (I), Sustainability (S), Efficiency and Productivity (E), Access and Equity (+), Leadership (+). The data collecting method in this research from questioners and use SmartPLS for data analysis. Base on analysis, obtained priority criteria in higher education competitiveness development strategy use AHP method are the first priority criteria is sustainability with weights 0.555, The second priority criteria is leadership with weights 0.336, The third priority criteria is internal management with weights 0.294, The fourth priority criteria is academic atmospheres with weights 0.116, The fifth priority criteria is relevance with weights 0.103, the sixth priority criteria is access criteria and equity with weights 0.093, and the last priority criteria is efficiency and productivity with weights 0.040. Competitiveness criteria have sub-criteria of highest priority is complete infrastructure with a weight of 0.853. This research result in the criteria that are very influential in the development of higher education competitiveness is sustainability and leadership. While the higher education competitiveness criteria are influenced by complete infrastructure.

Collective decision-making for developing emergency management capabilities

PurposeThe purpose of this study is to explore the applicability of analytic hierarchy process (AHP) to collective decision-making of local and state disaster managers for their efficient and effective allocation of limited financial resources.Design/methodology/approachFor the implementation of AHP, this study conducted an AHP survey with state and local disaster managers in post-Katrina Louisiana, the USA.FindingsThe AHP analysis disclosed a preference gap between local and state managers. It also identified frequent interaction with partners, leadership and communication, as the most critical capabilities to develop for effective emergency management.Research limitations/implicationsThis study discussed the value of consistent and careful management of the collaborative relationship. This study is context-specific in disaster type (Hurricane) and locality (Louisiana). Other AHP studies or similar multi-criteria decision-making models should be implemented in different contexts.Originality/valueEven with clear advantages of collective decision-making in the emergency management field, a model for collective decision-making has been rare. This study explored the applicability of AHP to the collective decision-making for the efficient and effective allocation of limited financial resources.

Analytical Hierarchy Process (AHP ) Implementation in D etermining Document E valuation C riteria of Post Qualification E Tendering Knockout P hase

The development of a country is directly proportioned to its growing infrastructure needs. One of the most needed infrastructure in Indonesia is medical facility. The construction of public hospital especially in its tendering phase needs to refer to the stated presidential decree that includes a specific rule and policy. The tender process needs to be done carefully to ensure the most beneficial offer is selected. This research will utilize e-tendering method to select the right construction partner. The criteria for the tender requirement will be chosen with the Analytical Hierarchy Process (AHP) which finally would be evaluated to determine the tender winner. AHP should help to elaborate the problem into multiple complex criteria, forming a hierarchy. The AHP implementation requires primary data from questionnaire and secondary data from existing research and policies. AHP calculation process is then used to process the data in the form of scores from the distributed questionnaire. The result of the AHP calculation was used to evaluate each offer from the goods and services providers, while finally done using the method of knockout by passing grade. The dominant factors that influenced the final decision making includes financial power (30.79%), Materials and equipments (8.55%), health and safety (4.59%), technical competence (8.91%), and experience (2.9%). AHP was proven to be very effective when utilized to evaluate e-tendering offer documents

The Implementation of Analytical Hierarchy Process for Determining Best Employee

In organisation, the judgement of best employee is still carried out conventionally. This is made the judgement takes time and long process. That is why to resolve the problem will be built a decision system using Analytical Hierarchy Processmethod. The criteria used in these study are attitude, productivity, discipline, cooperation ability, educational level, neatness, loyalty, realization of work plan. After using the application, the result is we have test the program three times with different criteria value. The first result is gotten within 3,2 minutes, second is within 4,5 minutes and the last time is within 3,3 minutes so the average AHP method report can be printed is in 3,7 minutes with 5 samples.