Application of the Analytic Hierarchy Process (AHP) for Prioritize of Concrete Pavement

The analytic hierarchy process AHP is a structured technique for dealing with complex decisions that was developed by Thomas L Saaty in the 1980 year It provides a comprehensive and rational framework for structuring a decision problem for representing and quantifying its elements for relating those elements to overall goals and for evaluating alternative solutions The base of this model is comparing variables by pair wise by Matrix relationship In this way pair wise of the effective variables on the concrete Pavement were considered and based on relative weights the output was exten

Application of AHP Model in Selection of Most Appropriate Area to Establish Soil Damp for Artificial Recharge of Underground Aquifers (Case Study: Tabas Basin)

In recent years water exploitation has become greater for many reasons such as population growth industrial development urbanization growth and consequently increased demand for food products Hence the rate of exploitation and consumption ground water become greater than recharge of them in other words input of ground water system is less than its output and system with negative balance sheet has positive feedback and it is collapsing Thus it is very significant to determine the suitable position for Artificial Recharge of ground water One of the management methods for water resources is Multi Criteria Decision Making The analytic hierarchy process AHP is a structured technique for dealing with complex decisions that was developed by Thomas L Saaty in the 1980 year It provides a comprehensive and rational framework for structuring a decision problem for representing and quantifying its elements for relating those elements to overall goals and for evaluating alternative solutions The base of this model is comparing variables by pair wise by Matrix relationship In this way pair wise of the effective variables on the concrete Pavement were considered and based on relative weights the output was extent In the present research combination of Indexing system Method with Analytical Hierarchy Process has been applied to assess the Selection of most appropriate area to establish soil damp for artificial recharge of underground aquifers The findings of the research show that zone 3 with 0 3606 points promotes in first rank among 5 studied zones and thus it is the most appropriate zone for Artificial Recharge of ground waters in contrast zone 5 with 0 1731 point goes down to the last rank and so it isn t suitable for Artificial Recharge and zones 2 4 1 are located in next rank

A Comparison of the REMBRANDT System with a New Approach in AHP

Analytic hierarchy process (AHP) has been criticized considerably for possible rank reversal phenomenon caused by the addition or deletion of an alternative. While in many cases this is a perfectly valid phenomenon, there are also many cases where ranks should be preserved. Our findings indicate that using the geometric mean reduces the variance in ratings substantially; hence, yielding lower inconsistency in ratings. An approach is therefore proposed using the geometric mean aggregation to avoid rank reversal phenomenon. A practical example is examined using the proposed approach to demonstrate its validity and racticability in rank preservation. This paper also compares the REMBRANDT system with the proposed approach to avoid rank reversal phenomenon

The rank reversal problem in multi-criteria decision making : a literature review

Despite the importance of multicriteria decision-making (MCDM) techniques for constructing effective decision models, there are many criticisms due to the occurrence of a problem called rank reversal. Nevertheless, there is a lack of a systematic literature review on this important subject which involves different methods. This study reviews the pertinent literature on rank reversal, based on 130 related articles published from 1980 to 2015 in international journals, which were gathered and analyzed according to the following perspectives: multicriteria technique, year and journal in which the papers were published, co-authorship network, rank reversal types, and research goal. Thus our survey provides recommendations for future research, besides useful information and knowledge regarding rank reversal in the MCDM field

Economic Valuation of the Goods and Services Offered by the High Relict High-Andean Ecosystem Located in the Districts of Chiguata, Characato and Pocsi, Arequipa, Peru

[EN] The relict high-Andean forest covered by associations of Polylepis Rugulosa found in the arid Andean region of southwestern Peru is a provider of a series of environmental goods and services such as water supply, climate regulation, erosion control, among others, that contribute to the wellbeing of societies. This investigation allows us to know the allocation of a range of economic value of the ecosystem services developed in the study area, based on different perspectives of analysis through the application of the multicriteria model Analytic Network Process (ANP) and the economic estimation of CO2eq sequestration. The results obtained range from USD 32,641,387 to USD 102,098,052.This study was financially supported by the Universidad Nacional de San Agustin de Arequipa through contract NaTP-05-2019-UNSAAraca, J.; Estruch-Guitart, V.; Aznar Bellver, J.; Yufra, S. (2021). Economic Valuation of the Goods and Services Offered by the High Relict High-Andean Ecosystem Located in the Districts of Chiguata, Characato and Pocsi, Arequipa, Peru. Polish Journal of Environmental Studies. 30(6):5443-5452. https://doi.org/10.15244/pjoes/137371S5443545230

Investigating Rank Reversal in Reciprocal Fuzzy Preference Relation Based on Additive Consistency: Causes and Solutions

Rank reversal is a common phenomenon in decision making. Rank reversal occurs when a new alternative is added to (or removed from) a set of alternatives, which causes change in the ranking order of the alternatives. This paper studies the possible causes of rank reversal in reciprocal preference relation based on additive consistency. Our investigation reveals that inconsistency of information is the main cause of this phenomena in preference relations followed by ranking score aggregation. We propose score aggregation methods to address the phenomenon of rank reversal. The proposed methods are illustrated using numerical examples. The results are better than other tested methods

Evaluation of erosion risk using Analytic Network Process and GIS: a case study from Spanish mountain olive plantations

The study presents an approach that combined objective information such as sampling or experimental data with subjective information such as expert opinions. This combined approach was based on the Analytic Network Process method. It was applied to evaluate soil erosion risk and overcomes one of the drawbacks of USLE/RUSLE soil erosion models, namely that they do not consider interactions among soil erosion factors. Another advantage of this method is that it can be used the there are insufficient experimental data. The lack of experimental data can be compensated for through the use of expert evaluations. As an example of the proposed approach, the risk of soil erosion was evaluated in olive groves in Southern Spain, showing the potential of the ANP method for modelling a complex physical process like soil erosionEl estudio combina una t&eacute;cnica de decisi&oacute;n multicriterio (ANP) y el an&aacute;lisis territorial para determinar las zonas de mayor riesgo de erosi&oacute;n en olivares de monta&ntilde;a</p

Exploring the Academic - Industry Collaboration in Knowledge Sharing for Supplier Selection: Digitalizing the OEM

YesIncreasing reliance on digital technologies has led to a significant shift in how businesses operate, with many now relying heavily on digital platforms for effective planning, communication, sales, marketing, supply chain, and logistics management. In this context, knowledge sharing platforms enable academic–industry collaboration in which exchange of ideas, opinions, experience, and expertise brings collective intelligence in cooperative learning ecosystem thereby expediting decision making. However, establishing long-term commitment among the partners, allocation of time and resources for sharing tacit knowledge, collaboration among partners with different strategic priorities, and real-time knowledge sharing capabilities are essential for effective and rapid learning in knowledge sharing platforms. The present article will examine these benefits and challenges in knowledge sharing and its impact on supplier selection platforms in Asian automakers. The findings of this article will be helpful for researchers and practitioners intending to explore the role of cooperation in knowledge sharing and digital transformation amid competitive environment prevalent in the automotive industry. The potential supplier database is first examined for qualifying the capability requirements put forth in this article and further prioritized using a multicriteria decision-making technique and analytic hierarchy process. The article results reveal that the manufacturer has highly prioritized firms’ financial transparency for supplier evaluation followed by the suppliers’ cost control, quality control, and manufacturing capabilities. The article has significant theoretical and practical implications for developing robust supplier evaluation criteria for automobile industry and a digital ecosystem for original equipment manufacturers in making supplier related decisions

Supplier selection with rank reversal in public tenders

For supplier selection in the public sector, the Weighted Sum Model is often used in combination with relative scoring methods that allow rank reversal. With rank reversal we refer to a changed order in the ranking of bids leading to a new winner, after removing or adding a non-optimal bid that does not win the original tender. In practice, an important reason indicated by practitioners for using methods that allow rank reversal is that it would rarely occur in practice. Based on an analysis of 303 Dutch public tenders, this research shows this is not true. In about 1 out of 5 the tenders, rank reversal occurs after adding non-optimal fictional bids to tenders that do not have quality thresholds. After removing bids, the rate is about 1 out of 40 if a curved relative scoring method is used. In addition, the research shows that rank reversal rates increase when (i) there is no quality threshold, (ii) the number of bids increases, (iii) bid price variance increases, and (iv) price weights are not very low or high. We argue that relative scoring methods that allow rank reversal should not be used in public procurement, or otherwise only in exceptional cases, as it conflicts with public procurement principles and leads to reduced overall bid value

Economic valuation of the goods and services offered by the high relict high-andean ecosystem located in the districts of Chiguata, Characato and Pocsi, Arequipa, Peru

El bosque relicto alto andino dominado por asociaciones de Polylepis Rugulosa ubicado en la región árida andina del suroeste peruano es proveedor de una serie de bienes y servicios ambientales como la provisión de agua, la regulación climática, el control de la erosión, entre otros, estos contribuyen en el bienestar de las sociedades. La presente investigación permite conocer la asignación de un rango de valor económico de los servicios ecosistémicos desarrollados en la zona de estudio, basándonos en diferentes perspectivas de análisis mediante la aplicación del modelo multicriterio Analytic Network Process (ANP) y la estimación económica del secuestro de CO2 eq. Los resultados obtenidos ascienden de USD 32,641,387 a USD 102,098,052