Combined AHP Research Articles

Remanufacturing Shoemaking Machine: Feasibility Study Using AHP and DEMATEL Approach

This study investigates the feasibility of remanufacturing shoemaking machines for sustainability using a combined AHP and DEMATEL approach. The AHP prioritizes machine types for remanufacturing, while the DEMATEL analyzes the interdependencies of influencing factors. Results indicate sole-making equipment as the most suitable candidate, followed by surface and forming equipment. Furthermore, appropriate product design, modularity, and a complete recycling system emerge as crucial for successful strategies. The DEMATEL confirms the foundational role of these factors in influencing a positive corporate image and business model. This study offers valuable insights and recommendations for Taiwan-based shoemaking machine OEMs in India to formulate strategies that promote remanufacturing. The findings highlight the critical role of OEMs in raising customer awareness regarding the environmental and economic benefits of returning end-of-life products and utilizing remanufactured machinery. Effective strategies should emphasize the importance of design for remanufacturing principles, modular machine architectures, and the establishment of comprehensive recycling systems. By fostering customer engagement through such initiatives, OEMs can create a collaborative ecosystem that facilitates the successful implementation of remanufacturing practices within the Indian market. Overall, the study presents a compelling case for remanufacturing as a strategic approach for OEMs to promote a circular economy, resource efficiency, and a sustainable future for footwear production.

Penilaian AHP Jalur Hijau Koridor Transjakarta 8 DKI Jakarta Berdasarkan Fungsi Ekologis Vegetasi

Greenbelt and green infrastructure are still very limited in Jakarta. Transjakarta Corridor 8 Harmoni - Lebak Bulus covers Central Jakarta, West Jakarta, and South Jakarta which are government centers and densely populated settlements. The high activity in the area causes an increase in transportation flows and greenhouse gas emissions. The transportation sector is the highest contributor to CO2e emissions in the capital city, thus reducing environmental quality, especially the greenbelt in Transjakarta Corridor 8. The assessment of ecological functions in this study consists of 7 variables, namely noise reduction, pollution reduction, air humidity, view control, glare control, direction and accident prevention. The research location is divided into 5 segments with the analysis method used, namely the assessment of ecological function aspects and the formulation of recommendations based on Hierarchical Process Analysis. The results of the assessment on ecological functions with noise-canceling variables were (Polyalthia longifolia) Glodongan Tiang, (Casuarina sp.) Spruce, (Acacia auriculiformis) Acacia, and (Archontophoenix alexandrae) Alexander Palm. The results of the pollution reduction assessment of each segment are dominated by vegetation types (Mangifera indica) Mango, (Polyalthia longifolia) Glodongan Tiang, (Carbera odollam) Bintaro. Based on the results of the questionnaire, the AHP assessment weight was obtained. The combined AHP results show the highest priority scale for the evaluation recommendations of this research is Pollution Reduction as the most important variable with a weight of 0.348, the second rank is Accident Reducer with a weight of 0.300, the third rank is Glare Control with a weight of 0.150. The combined results of 3 experts produce a consistency ratio value of 0.05, the consistency ratio value of 0.05 is smaller than 0.10 so it can be said to have met the consistent requirements.
 
 Keywords: analytical hierarchy process, emission, roadside greenbelt

Evaluating Expressway Safety Based on Fuzzy Comprehensive Evaluation with AHP–Entropy Method: A Case Study of Jinliwen Expressway in Zhejiang Province, China

To mitigate potential safety hazards during expressway operation, safety evaluation plays a crucial role. This study develops a fuzzy comprehensive evaluation model to assess the safety of expressway operations. First, an expressway operation safety risk assessment index system consisting of four criteria-layer indicators and 10 sub-criteria layer indicators is established. Then, the comprehensive weight of each evaluation index is calculated based on the combined AHP and entropy methods. Finally, the expressway safety level is obtained by converting qualitative indicators into fuzzy sets and defining corresponding membership functions to describe their degree of membership. The evaluation model is applied to the Jinliwen Expressway in a mountainous area in Zhejiang Province, China. The results show that the method could quantitatively and comprehensively evaluate the safety status of expressways and identify the weak links of operational safety management, which can effectively improve the safety level of expressway operations. The research findings will assist decision-makers in gaining a better understanding of the safety issues of expressways and, thus, using corresponding measures to enhance the safety level of the expressway.

A combined fuzzy AHP with fuzzy TOPSIS to locate industrial supporting bonded logistics centers

Raw material availability is critical for the sustainability of industrial activity. A bonded logistics centre is required as a multipurpose warehouse for the storage of raw commodities, particularly those imported from other countries. The operationalization of bonded logistics centers in terms of supplying raw materials effectively and efficiently is largely location dependent. Proper facility placement is critical for resolving the storage issue and boosting the efficiency of the transportation system. The purpose of this article is to suggest a technique for locating a bonded logistics centre. In an unpredictable context, decision making requires a range of criteria generated from knowledge and stakeholder experience. As a result, this work proposes the combination of the fuzzy analytic hierarchy process (FAHP) with the fuzzy technique for ordering preferences by similarity to ideal solution (FTOPSIS). By disclosing linguistic characteristics, fuzzy numbers contribute to the resolution of ambiguity and imprecision. Obtaining the weighted value of the criteria and sub-criteria using fuzzy AHP. Using fuzzy TOPSIS, determining alternate preferences based on weighting factors. Its use lies in being able to distinguish between criteria that provide advantages and those that generate expenses. The findings indicate that the selected option is the one that is most closely related to the positive ideal.

A robust Taguchi combined AHP approach for optimizing AISI 1023 low carbon steel weldments in the SAW process

A robust Taguchi combined AHP approach for optimizing AISI 1023 low carbon steel weldments in the SAW process

An integrated AHP MCDM based Type-2 Neutrosophic Model for Assessing the Effect of Security in Fog-based IoT Framework

The term Internet of Things (IoT) refers to a network of connected, intelligent devices that are responsible for the collecting and dissemination of data. Because technology automates the tasks we do daily, our lives have become simpler as a result. However, with a typical architecture for the cloud and the Internet of Things, real-time data processing is not always practicable. This is particularly true for latency-sensitive apps. This eventually resulted in the development of fog computing. On the one hand, the fog layer may perform computations and data processing at the very edge of the network, which enables it to provide results more quickly. On the other hand, this pushes the attack surface closer to the machines themselves, which is a security risk. Because of this, the sensitive data that is stored on the layer is now susceptible to assaults. Therefore, considering the security of the fog-IoT is of the utmost significance. A system or platform's level of security is determined by a number of different elements. When it comes to conducting an accurate risk assessment, the sequence in which these considerations are considered is of the utmost importance. Because of this, determining the level of security offered by fog and IoT devices becomes a Multi-Criteria Decision-Making (MCDM) dilemma. This article presents a two-stage hybrid multi-criteria decision-making model that is based on type-2 neutrosophic numbers (T2NNs). The goal of this article is to give scientists and practitioners a decision-making tool that is both easy and versatile. The initial step of this process is determining the weights of criteria by the AHP method in the T2NN environment. Second, the T2NN-based Multi-Attributive Border Approximation area Comparison (MABAC) method is used to rank the various fog security based on IoT. Both of these methods are described in more detail below. With the help of the comparison study, the high reliability and robustness of the combined AHP and MABAC based type-2 neutrosophic model have been proven.

Supplier selection framework to evade pseudo-resilience and to achieve sustainability in supply chains

PurposeDue to increasing uncertainty in the global business scenario, research on supply chain resilience is gaining significance. The outbreak of the COVID-19 pandemic has accelerated and magnified the issues already pertaining in the supply chain thereby increasing the vulnerabilities in the network. This study attempts to build the concept of pseudo-resilience in supplier selection and evaluation for supply chain sustainability.Design/methodology/approachA combination of multi-criteria decision-making methods AHP and R is adopted, and an integrated method called Combined AHP–R method is used to identify and include the property of pseudo-resilience into supplier selection processes.FindingsThe authors identified various factors contributing to pseudo-resilience considering supplier selection process and found the most important attribute. Using the combined AHP–R method, the suppliers were evaluated, considering the attributes contributing to the pseudo-resilience of supply chains and best supplier was selected.Originality/valueTo the best of our knowledge, this is the first study addressing a supplier selection problem for sustainable supply chains, considering pseudo-resilience. Also, this is the first study to apply the AHP–R method for supplier selection in the resilience or sustainability context.

A GIS-Based Method for Identification of Blindness in Former Site Selection of Sewage Treatment Plants and Exploration of Optimal Siting Areas: A Case Study in Liao River Basin

With regard to environmental facilities, blindness and the subjectivity of site selection lead to serious economic, engineering and social problems. A proper siting proposal often poses a challenge to local governments, as multiple factors should be considered, such as costs, construction conditions and social impact. How to make the optimal siting decision has become a topical issue in academic circles. In order to enrich the framework of site selection models, this study combined GIS, AHP and Remote Sensing (RS) technologies to conduct siting suitability analysis of sewage treatment plants, and it was first applied in the Liao River basin in Jilin Province in China. The enriched model is able to reveal blindness in the former site selection of sewage treatment plants and explore optimal siting areas, involving an effective quantification method for summer dominant wind direction and urban stream direction. In a case study, it was found that local governments need to be cautious of the distance of sites from rivers and residential areas and the impact of these sites on downwind and downstream residents. Additionally, siting suitability has obvious regional characteristics, and its distribution varies significantly between towns. Huaide Town shows the largest optimal siting areas and can be given priority for the construction of new sewage treatment plants. This paper developed a more scientific approach to site selection, and the outcome can provide a robust reference for local governments.

Multi-criteria Land Suitability Analysis for Agriculture in Semi-Arid Region of Kadapa District, Southern India: Geospatial Approaches

This research proposes an integrated methodology for incorporating RS, GIS and AHP techniques for the assessment of agricultural land suitability. In Kadapa district, Andhra Pradesh, India, study is being done on how to best promote agriculture as a source of income to boost the economy of the region. A combined RS, GIS and AHP techniques has been utilized that incorporates organizing AHP hierarchy, criteria specification, pairwise comparison, and criterion map preparation. Land suitability comparison showed that an area of 4.42 km2 (2.62%) is appropriate for irrigation, while an area of 54.39 km2 (32.33%) is appropriate moderately suitable for rainfed agriculture and 95.76 km2 (56.93%) is marginally suitable for agricultural productions. About 13.64 km2 (8.11%) land is currently not suitable for agricultural production. Additionally, the analysis clearly shows the necessity of a decrease in irrigated agricultural land and an increase in dry farm agricultural land. This application of RS, GIS and AHP based agricultural land suitability analysis is helpful in referring agricultural activities to the areas with good physical and environmental conditions, allowing maximum agricultural efficiency in the countryside, increasing non-agricultural uses in areas with low efficiency, and avoiding the construction and environmental pressures on suitable farmland.

Criteria prioritisation of tourist satisfaction from long-distance transportation services: combined fuzzy AHP and SERVQUAL approach

It is necessary to identify criteria affecting customer satisfaction from transportation systems and their impact on relevant industries. This study investigates and prioritises expectations of tourists from long-distance transportation services. Tehran (capital of Iran) to Yazd is chosen as the case study of this research. SERVQUAL survey was developed and distributed on this route at different modes. First, data from survey distribution are weighted based on the importance of each criterion and sub-criteria and then prioritised using a fuzzy AHP method. The results show that responsiveness is the most crucial criterion. It also depends on the type of the trip (educational, recreational or business) that may have a significant impact on selecting the most important criteria from their perspective. The results can lead to efficiency improvements in transportation systems as well as providing better facilities to attract more tourists. These insights can help managers and policymakers in planning and promoting tourist satisfaction.

Criteria prioritization of tourist satisfaction from long-distance transportation services towards a world heritage site: combined Fuzzy AHP and SERVQUAL approach

Criteria prioritization of tourist satisfaction from long-distance transportation services towards a world heritage site: combined Fuzzy AHP and SERVQUAL approach

A combined AHP–TOPSIS–DEMATEL approach for evaluating success factors of e-service quality: an experience from Indian banking industry

In today’s hyper competitive world successfully managing the service quality for e-transaction is very important for the success of banks. Researchers in past have advocated on the importance and relations of measurement and monitoring of e-service quality with profitability and competitiveness, but very few researchers have attempted to explore the area of e-service quality in banks. It is necessary for banks to understand e-service quality factors to launch a e-service improvement drive. Also, it is necessary for the banks to understand their interrelationships and rank them and identify the key factor and take necessary actions for improvement. This paper presents a unique approach addressing all the needs such as: (a) Identification of e-service quality factors, (b) Understanding hierarchy structures for ranking, (c) DEMATEL for analyzing the cause and effect relationship among the identified factors of e-service quality. Further, this research also proposed TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) for comparison of banks. The findings of this paper have very implications and can help in guiding the banks for improvement of e-service quality.

An Integrated of AHP–QFD Methodology For Poduct Design: A Review

Many methods, rules, and techniques are used by some manufacturing companies to enhance product competitiveness by fulfilling customer needs and satisfaction possible by improving product design quality. Many researchers suggest a variety of design tools that were implemented early in the design process. Quality function deployment and Analytical hierarchy process methods are one of them. Some researchers have studied in-depth incorporating these two design techniques in product design and development by focusing on translating the consumers' desire into product design. This paper presents the review, investigates analysis, and discussion of some literature on the QFD combined AHP, which is used for product design, either re-designing existing products or designing new products. Several international journal articles have been selected, collected, and analyzed through several relevant scientific publications published in 2010-2016. An in-depth analysis has been carried out on this paper on the benefit, and drawbacks of the integration method on previous research. This paper provides suggestions based on the analysis of the development of the integration method. Hope this paper could be a reference for researchers and other manufacturing companies to implement QFD-AHP integration method in designing product

THE THEORETICAL ASPECT OF DELPHI TECHNIQUES AND AHP METHOD

Various researchers in Iran, Germany, Central Taiwan, Brazil and U.S have selected to apply the combined Delphi technique and AHP method in their studies. These two techniques have been used to rank and identify factors, elements, importance measurement, expert perceptions of a topic, etc.
 The areas where these studies, and we are based on our analysis, are tourism industry and beverage industry but the focus falls on marketing, social media, content marketing, e-commerce and e-business. 
 The general purpose of this paper is to address in general terms the Delphi technique and AHP method.

A fuzzy multi-attribute decision making model for selection of welding process for grey cast iron

The selection of the welding process is a difficult and understated job due to the large number of different processes available. While selecting the right welding process, there is not always a single definite selection criterion and a large number of welding process selection criteria must be taken into account by designers and manufacturing engineers. This paper presents a logical procedure for selection of welding process for Grey Cast Iron. The technique is based on a combined AHP and TOPSIS method while considering fuzziness in subjective information in the model. The proposed method helps to evaluate and rank the welding processes for the application at hand.

Analysis of Power Service Bandwidth based on AHP and Clustering

The current method of analyzing the relationship between communication service and bandwidth requirement in the power communication network is simple. It uses a single formula with predetermined constant parameters to calculate the bandwidth of each communication service for a given site which can not show the relative bandwidth demand of different services. This paper proposes a combined AHP and hierarchical clustering method to analyze the relative bandwidth requirement of each service. This method is based on AHP to analyze the impact of different factors on bandwidth and use hierarchical clustering method to aggregate services with similar communication needs into the same class, and it shows different services’ relative bandwidth requirement clearly. Experiments on data of various site shows that all the services with similar bandwidth requirements are grouped into the same class.

Multikriterijumska analiza prednosti rudarskih kompanija sa aspekta upravljanja promenama

The aim of this paper is to evaluate the advantages of the mining companies by the multicriterial analysis in terms of changed management. This approach to the mining companies represents the best practice because there is an increasing number of companies that have been forced to point out their advantages in order to preserve and expand the market positions, profit and successfully change management due to the global changes. This paper analyzes five advantages (alternatives): teamwork, knowledge management, competence, equipment and implementation of an integrated management system (ISM) and four criteria: competitiveness, sustainability, stakeholder satisfaction and positioning. The analysis was carried out using the combined AHP and Electra methods. The presented multicriterial analysis has given the following results: the best alternative is the alternative A5, the implementation of ISM and the most influential criterion is C3, the satisfaction of the stakeholders with a weight coefficient of 0.425.

Selection of optimal hot extrusion process parameters for AA6061using hybrid MCDM technique

Abstract Due to very large strain rates, deformations and temperature changes, selection of optimal hot extrusion process parameters of aluminum alloy composite is aexigent problem in metal processing. Hence in the present work, simulation is performed by varying Cone Half Angle (CHA), billet temperature and friction coefficient at a ram speed of 5mm/s using DEFORM-3D which is FEM simulation software. The effect of change of process parameters were observed with respect to the multiple criteria extrusion load, exit temperature, damage and displacement and the optimal process parameters were selected using a hybrid multiple criteria decision making technique, a combined AHP and TOPSIS approach. AHP is used to prioritize the criteria and the TOPSIS method used to rank the process parameters.

Selection of optimal hot extrusion processing parameters for AA6061 using fuzzy AHP and TOPSIS

The need for improving the various material processing techniques for aluminium alloys has been felt due to their applications in various key industries. Due to ease of formability and low cost of aluminium alloys, extrusion has gained great popularity in recent years. Since the improper selection of processing parameters leads to poor quality and quantity, in the present work, an attempt was made to simulate hot direct extrusion of AA6061 alloy using DEFORM-3D, and the results were analysed using a hybrid multi-criteria decision making technique, a combined fuzzy AHP and TOPSIS approach to select the optimal combination of hot extrusion processing parameters. AHP is used to prioritise the evaluation criteria and the TOPSIS method used to rank the process parameters combination based on the simulation results.

Selection of Optimal Hot Extrusion Processing Parameters for AA6061using Fuzzy AHP & TOPSIS

The need for improving the various material processing techniques for aluminium alloys has been felt due to their applications in various key industries. Due to ease of formability and low cost of aluminium alloys, extrusion has gained great popularity in recent years. Since the improper selection of processing parameters leads to poor quality and quantity, in the present work, an attempt was made to simulate hot direct extrusion of AA6061 alloy using DEFORM-3D, and the results were analysed using a hybrid multi-criteria decision making technique, a combined fuzzy AHP and TOPSIS approach to select the optimal combination of hot extrusion processing parameters. AHP is used to prioritise the evaluation criteria and the TOPSIS method used to rank the process parameters combination based on the simulation results.