Use Of Analytic Hierarchy Process Research Articles

Supplier selection and order allocation with green criteria: An MCDM and multi-objective optimization approach

This research provides a decision-making tool to solve a multi-period green supplier selection and order allocation problem. The tool contains three integrated components. First, fuzzy TOPSIS (technique for order of preference by similarity to ideal solution) is used to assign two preference weights to each potential supplier according to two sets of criteria taken separately: traditional and green. Second, top management uses an analytic hierarchy process (AHP) to assign a global importance weight to each of the two sets of criteria based on the strategy of the company and independently of the potential suppliers. Third, for each supplier, the preference weight obtained from fuzzy TOPSIS regarding the traditional criteria is then multiplied by the global importance weight of the set of traditional criteria. The same is done for the green criteria. The two combined preference weights obtained for each supplier are then used in addition to total cost to select the best suppliers and to allocate orders using multi-period bi-objective and multi-objective optimization. The mathematical models are solved using the weighted comprehensive criterion method and the branch-and-cut algorithm. The approach of this research has a major advantage: it provides top management with flexibility in giving more or less importance weight to green or traditional criteria regardless of the number of criteria in each category through the use of AHP, which reduces the effect of the number of criteria on the preference weight of the suppliers. Contrary to the case in which each supplier is evaluated on the basis of all criteria at the same time, the proposed approach would not necessarily result in a supplier with poor green performance being ranked among the best for a situation in which the number of green criteria is smaller than the number of traditional criteria. In this case, the final ranking would mainly depend on the global weight of the green criteria set given by the top management using AHP as well as on the ranking of the supplier in terms of green criteria obtained from fuzzy TOPSIS. Extensive numerical experiments are conducted in which the bi-objective and multi-objective models are compared and the effect of the separation between green and traditional criteria is investigated. The results show that the two optimization approaches provide very close solutions, which leads to a preference for the bi-objective approach because of its lower computation time. Moreover, the results confirm the flexibility of the proposed approach and show that combining all criteria in one set is a special case. Finally, a time study is performed, which shows that the bi-objective integer linear programming model has a polynomial computation time.

Location Optimization of Urban Mining Facilities with Maximal Covering Model in GIS: A Case of China

SummaryUrban mining offers an efficient supply of resources because of rich mines and low environmental impacts. Location selection and optimization for urban mining facilities is more complicated than for natural mines, given that it may vary according to the urban population, consumption habits, and economic development. China initiated the National Urban Mining Pilot Bases program in 2010 that targeted 50 national urban mining pilot bases, but unfortunately neglected the location planning issue. Twenty‐eight bases have already been selected, which are concentrated in the central and eastern areas of China. This article combines the use of analytic hierarchy process, maximal covering location model, and geographical information systems (GIS) software to optimize locations for China's urban mining pilot bases. Primary findings show that, theoretically, 40 urban mining pilot bases can sufficiently provide maximum gross domestic product (GDP) and population coverage service for China. Taking the current 28 bases as a precondition and 50 bases as the remaining policy target, our second optimization results in a list of 22 cities for the location selection of future urban mining pilot bases. In total, the optimized 22 cities, together with the selected 28 bases, can provide a maximum 97.5% of GDP and 95.1% of population coverage in China. This study illustrates the optimization process for urban mining recycling facilities in general and provides policy advice for China in a specific case.

Use of AHP in decision-making for machine tool configurations

Purpose The purpose of this paper is to develop a model of analytic hierarchy process (AHP), a multiple criteria decision-making method, to assist selecting suitable machine configurations for special purpose machines (SPMs) from available alternatives. Design/methodology/approach The necessary criteria and sub-criteria were identified and used in the developed model. The assessment process was carried out by constructing the hierarchy of four levels. Then, pairwise comparison matrices were created for each level to compute the weights for the alternatives. The model was programmed and implemented by software for practical use. Findings Different scenarios were obtained from the assessment process of the developed AHP model showing the influence of changing the relevant importance of the elements in the hierarchy on the selection of SPMs configurations. Selection of the suitable scenario was also affected by some factors of manufacturing preferences and industry recommendations such as cost and production rate. Originality/value This is a new application of AHP method which assists decision makers to select suitable configurations for SPMs, and reduce the time required for designing SPMs.

Spatial Analysis in Determination Of Flood Prone Areas Using Geographic Information System and Analytical Hierarchy Process at Sungai Sembrong's Catchment

Floods that struck Johor state in 2006 and 2007 and the East Coastal in 2014 have triggered a greatly impact to the flood management here in Malaysia. Accordingly, this study conducted to determine potential areas of flooding, especially in Batu Pahat district since it faces terrifying experienced with heavy flood. This objective is archived by using the application of Geographic Information Systems (GIS) on study area of flood risk location at the watershed area of Sungai Sembrong. GIS functions as spatial analysis is capable to produce new information based on analysis of data stored in the system. Meanwhile the Analytical Hierarchy Process (AHP) was used as a method for setting up in decision making concerning the existing data. By using AHP method, preparation and position of the criteria and parameters required in GIS are neater and easier to analyze. Through this study, a flood prone area in the watershed of Sungai Sembrong was identified with the help of GIS and AHP. Analysis was conducted to test two different cell sizes, which are 30 and 5. The analysis of flood prone areas were tested on both cell sizes with two different water levels and the results of the analysis were displayed by GIS. Therefore, the use of AHP and GIS are effective and able to determine the potential flood plain areas in the watershed area of Sungai Sembrong.

Considerations for choosing appropriate healthcare waste management treatment technologies: A case study from an East Midlands NHS Trust, in England

Through their decision-making processes, organisations can play a key role in addressing global environmental challenges. However, to be effective, these processes need to be based on evidence. This paper aims to evaluate the ‘optimum’ healthcare waste treatment technology, using a National Health Service organisation in the East Midlands region of England, as the case study organisation. Using analytic hierarchy process as the research tool, this research determined that the ‘optimum’ approach was a mix of technologies. However, this result was largely driven by costs considerations. Thus the findings suggest the need for a holistic approach to the decision-making process for the procurement of their healthcare waste management services. The use of analytic hierarchy process generally worked well in informing the decision-making process.

Designing an integrated AHP based decision support system for supplier selection in automotive industry

PurposeThe purpose of this paper is to propose a decision support model for supplier selection based on analytic hierarchy process (AHP) using a case of automotive industry in a developing country of Pakistan and further performs sensitivity analysis to check the robustness of the supplier selection decision. MethodologyThe model starts by identifying the main criteria (price, quality, delivery and service) using literature review and ranking the main criteria based on experts’ opinions using AHP. The second stage in the adopted methodology is the identification of sub criteria and ranking them on the basis of main criteria. Lastly perform sensitivity analysis to check the robustness of the decision using Expert Choiceۛ software. FindingsThe suppliers are selected and ranked based on sub criteria. Sensitivity analysis suggests the effects of changes in the main criteria on the suppliers ranking. The use of AHP in the supplier selection gives the decision maker the confidence of the consistency and the robustness throughout the process. Practical implicationsThe AHP methodology adopted in this study provides managers in automotive industry in Pakistan with the insights of the various factors that need to be considered while selecting suppliers for their organizations. The selected approach also aids them in prioritizing the criterion. Managers can utilize the hierarchical structure of adopted supplier selection methodology suggested in this study to rank the suppliers on the basis of various factors/criteria. Originality/valueThis study makes three novel contributions in supplier selection area. First, AHP is applied to automotive industry and use of AHP in the supplier selection gives decision maker the confidence of the consistency. Second, sensitivity analysis enables in understanding the effects of changes in the main criteria on the suppliers ranking and help decision maker to check the robustness throughout the process. Last, we find it important to come with a simple methodology for managers of automotive industry so that they can select the best suppliers. Moreover, this approach will also help managers in dividing the complex decision making problem into simpler hierarchy.

Cultural Heritage Valorization: An application of AHP for the Choice of the Highest and Best Use

In the preliminary stages of urban investments, the Public Administration (PA) has often to deal with complex decisional problems characterized by many variables and conflicting objectives. In these phases, the evaluation is a useful tool that, through the application of multi-criteria analysis, can support the PA in the transformation of a problem characterized by high uncertainty and mostly qualitative judgments of value, in a logical-mathematical model to guide the decisions. Defined the objective of the investment, the Analytic Hierarchy Process (AHP) method is particularly useful in the comparison and in the choice of projectual alternatives described through a variety of independent criteria and often in conflict with each other. A series of pairwise comparisons - first between the various criteria and then between the various alternatives on the basis of each criterion - allows to sort the solutions by returning the degree of pursuit of the initial objective. The application of AHP for the identification of the intended use related to the post-seismic recovery of the Rocca Estense in Finale Emilia (Modena) -Italy, highlights the ease of use of AHP, its robustness, confirmed by the consistency analysis, and the transparency of the procedure, that is devoid of “black boxes”.

Application of a multiple-criteria decision making approach for selecting non-perennial reservoirs for culture-based fishery development: Case study from Sri Lanka

In Sri Lanka, small non-perennial reservoirs (mostly <50ha) are numerous in the dry zone receiving less than 185cm annual precipitation. These are irrigational and are not traditionally used for inland fisheries, due to inadequate natural recruitment, but have the potential for utilization for the development of culture-based fisheries (CBFs), a form of extensive aquaculture. However, the suitability of water bodies for CBF is wide ranging because of the seasonal water retention period and fingerling availability for stocking, variable biological productivity, and community willingness to adopt CBF. In such circumstances multi-criteria decision making (MCDM) approaches are useful for selection of water bodies for CBF. Analytic hierarchy process (AHP), a MCDM approach was employed in this study where, three main criteria (reservoir productivity, catchment characteristics and socio-economic factors) that influence CBF yield were considered. There were two, five and three sub-criteria under each, respectively. As most of the sub-criteria in the analysis are essentially spatial data, it was possible to quantify the influence of each of these on CBF yield using geographical information systems (GIS) and remote sensing (RS) techniques, which were subsequently weighted. Based on the total scores from the weighted linear combinations of the AHP for various sub-categories, the reservoirs were categorized for their suitability for CBF in to four levels as excellent, good, fair and poor. As there was a positive significant relationship between the total AHP score and CBF yield, it was concluded that use of AHP based weighted linear combination would be a feasible approach for selection for CBF development, and that this methodology would be applicable to comparable situations in the tropical region. Statement of relevanceAnalytic hierarchy process, which also incorporated geographical information systems and remote sensing for relative weighting of sub-criteria of spatial nature, was found to be a feasible and an objective approach for selection of water bodies for CBF development.

Landslide Susceptibility Mapping Using Analytical Hierarchy Process (AHP) in Tehri Reservoir Rim Region, Uttarakhand

Abstract: A comprehensive use of analytical hierarchy process (AHP) method in landslide susceptibility mapping (LSM) has been presented for rim region of Tehri reservoir. Using remote sensing data, various landslide causative factors responsible for inducing instability in the area were derived. Ancillary data such as geological map, soil map, and topographic map were also considered along with remote sensing data. Exhaustive field checks were performed to define the credibility of the random landslide conditioning factors considered in this study. Apart from universally acceptable inherent causative factors used in the susceptibility mapping, others such as impact of reservoir impoundment on terrain, topographic wetness index and stream power index were found to be important causative factors in rim region of the Tehri reservoir. The AHP method was used to acquire weights of factors and their classes respectively. Weights achieved from AHP method matched with the existing field conditions. Acceptable consistency ratio (CR) value was achieved for each AHP matrix. Weights of each factor were integrated with weighted sum technique and a landslide susceptibility index map was generated. Jenk’s natural break classifier was used to classify LSI map into very low, low, moderate, high and very high landslide susceptible classes. Validation of the susceptibility map was performed using cumulative percentage/success rate curve technique. Area under curve value of the success rate curve was converted to percentage validation accuracy and a reasonable 78.7% validation accuracy was achieved.

Service Supplier Selection using Analytic Hierarchy Process

This paper argues the use of Analytic Hierarchy Process in service supplier selection process. The literature has evidence of important criteria for supply supplier selection process. However, there is a dearth of studies on service supplier selection process. To address this gap, this paper firstly systematically reviews the existing procurement literature, secondly, it argues for the use of alternative methods research to address questions related to ranking of selection criteria, and thirdly, it proposes and illustrates the use of Analytic Hierarchy Process to analyze the identified criteria. The paper concludes with limitations and further research directions.

Study on Comprehensive Evaluation Index System for Education E-government Performance of College and University

First, it sets forth the connotation of education E-government performance evaluation in college and university, Then it illustrates its design principles as directive, complete, scientific, feasible, and development. It also puts forward the construction process, including dispersion, convergence, test, and verification. Meanwhile, it determines the framework for this index system, including four primary indexes, which are information infrastructure, application system, income and benefit, insurance system, as well as eighteen secondary indexes, namely possession quality of computer products per capita, construction of office and business application system, hardware, software, personnel training, and views and talent environment, etc. By making use of analytic hierarchy process, it determines the weight of primary index and the secondary index, thus constructing a relatively complete comprehensive evaluation index system for education E-government performance of college and university.

Analytical hierarchy process based supplier selection methodology: a framework and application

Supplier selection is an important operation in every company. A few important criteria in the selection of a supplier are product factor, company factor and service factor. A huge accent is given on the quality of inputs, as it is a pre-requisite for every company to produce high-quality products. Each company uses its own procedure for evaluation and selection of suppliers. In this paper, supplier selection is based on the following criteria as product factor with the sub-factors like undersize, oversize and price, and company factor with sub-factors like annual sales, net profit, capacity, location, transport facility and technical facility. Analytic Hierarchy Process (AHP) is a decision-making method for ranking alternative courses of action when multiple criteria are considered. The paper illustrates use of AHP to structure the supplier selection process. Finally, a framework is presented that any buying organisation can adopt to fit its specific set of needs.

Using design methods to provide the care that people want and need.

Kim Erwin is an Assistant Professor at IIT Institute of Design and trained in user-centered design methods, which put people at the center of any problem space so as to develop solutions that better fit their everyday lives, activities and context. Her expertise is in making complex information easier to understand and use. Her research targets communication tools and methods for collaborative knowledge construction built through shared experiences. Her book, Communicating the New: Methods to shape and accelerate innovation focuses on helping teams explore, build and diffuse critical knowledge inside organizations. Jerry Krishnan is a Professor of Medicine and Public Health, and Associate Vice President for Population Health Sciences at the University of Illinois Hospital & Health Sciences System. He pioneered the use of Analytic Hierarchy Process to elicit the expressed needs of stakeholders for research. He previously served as Chair of the US FDA Pulmonary and Allergy Drugs Advisory Committee and is a Principal Investigator in NIH and Patient Centered Outcomes Research Institute (PCORI)-funded research consortia. He chairs the US National Heart, Lung, and Blood Institute (NHLBI) Clinical Trials review committee and the PCORI Improving Healthcare Systems merit review panel.

Wykorzystanie wielokryterialnej metody podejmowania decyzji (AHP) do wyboru przydomowej oczyszczalni ścieków z odprowadzaniem ścieków do gruntu

Wykorzystanie wielokryterialnej metody podejmowania decyzji (AHP) do wyboru przydomowej oczyszczalni ścieków z odprowadzaniem ścieków do gruntu

An Analytic Hierarchy Process Analysis: Application to Subscriber Retention Decisions in the Nigerian Mobile Telecommunications

Abstract The introduction of mobile number portability (MNP) in the Nigerian telecommunications industry has brought a new challenge for mobile operators. This study investigates the use of Analytic Hierarchy Process (AHP) in customer retention decisions in the Nigerian telecommunication industry using a cross-sectional survey design. Primary data were obtained through questionnaires administered to 480 mobile telecommunications subscribers in six tertiary institutions located in Lagos State, Nigeria. These educational institutions were chosen using a multistage sampling technique. Of 438 questionnaires received from subscribers, 408 were valid. Based on this sample data an AHP model was built to assess the determinants of customer retention decisions. Next, eigen values, an eigen vector and maximum lambda (λMax) were obtained using the AHP analysis for the matrices. This analysis shows that customers considered call quality as the important in the retention decision. We conclude that AHP is a meaningful tool for determining what motivates retention decisions, that can help network operators formulate effective customer retention strategies.

Improvements of Efficiency of Analytical Hierarchy Process (AHP) for Project Priority in International Rural Development

This research was designed to review improvements of efficiency of Analytic Hierarchy Process (AHP) as a way to facilitate decision-making on project priority in international rural development in the following ways; to apply an AHP method; to discover issues that might arise in the research preparation, conduct, and analysis; and ultimately to expand a practical use of AHP in recipient countries. The survey questioned residents of the Dadeldhura district in Far-Western Region of Nepal, on the assumption that one donor country has a plan to implement projects for rural development in a community. This research collected 104 questionnaires. 55 questionnaires with a Consistency Ratio (CR) greater than 0.2 were excluded and 49 questionnaires were accepted for AHP analysis. The rejection rate reached 52.9%. The results of AHP analysis showed that residents considered Number of Beneficiaries the first priority in terms of Criteria. They selected Education as the first priority project that most reflected their opinion. The top three priority projects were Education, Public Health/Hygiene/Sanitation, and Income Generation. Although the AHP method can be a useful tool in deciding project priority, some problems were revealed during the process of preparing and carrying out a survey. By addressing these problems and improving on its application, the AHP method can be expected to contribute to the academic field of international rural development and to allow for a more accurate selection of projects that fully reflect residents’ needs at the early stages of implementation in rural communities of recipient countries.

Selection of the best maintenance approach in the maritime industry under fuzzy multiple attributive group decision-making environment

Many maintenance approaches have been developed and applied successfully in a variety of sectors such as aviation and nuclear industries over the years. Some of those have also been employed in the maritime industry such as condition-based maintenance; however, choosing the best maintenance approach has always been a big challenge due to the involvement of many attributes and alternatives which can also be associated with multiple experts and vague information. In order to accommodate these aspects, and as part of an overall novel Reliability and Criticality Based Maintenance strategy, an existing fuzzy multiple attributive group decision-making technique is employed in this study, which is further enhanced with the use of Analytical Hierarchy Process to obtain a better weighting of the maintenance attributes used. The fuzzy multiple attributive group decision-making technique has three distinctive stages, namely rating, aggregation and selection in which multiple experts’ subjective judgments are processed and aggregated to be able to arrive at a ranking for a finite number of maintenance options. To demonstrate the applicability in a real-life industrial context, the technique is exemplified by selecting the best maintenance approach for shipboard equipment such as the diesel generator system of a vessel. The results denote that preventive maintenance is the best approach closely followed by predictive maintenance, thus steering away from the ship corrective maintenance framework and increasing overall ship system reliability and availability.

Prioritizing Decision Alternatives for Social Media Planning

Purpose: Social media is paving the way to a new way of looking at markets. Consumers have now become a source of insight. The Indian Internet market is growing very fast and so is the use of social media. Therefore there is need to examine methods for social media selection problems. Methodology: The Analytic Hierarchy Process (AHP) has been used to model a complex problem based on multiple non-parametric criteria in a hierarchical structure showing the relationships between goals, criteria, uncertainties and alternatives, where experience, insight and intuition can all be used in a logical manner to derive standardized ratio scale priorities or weights. Findings: Based on the criteria Facebook had the highest composite weight followed by Twitter and finally Youtube. This result agrees with the findings of research based on survey of organisations. Implications: The paper recommends use of AHP as a useful supplement to intuitive decision-making that is normally reserved for media selection problem solving. Originality: Most of the original work in this area is qualitative. This quantitative paper will help in designing innovative and effective social media platform selection strategies for greater social mobilization. AHP can be assessed in terms of the clarity gained, the ability to judge more thoroughly, the scope for adaptation and change, and legitimisation of decision-making.Keywords: AHP, Online Advertising, Online Marketing, Social Media Planning

Prioritizing Decision Alternatives for Social Media Planning

Purpose: Social media is paving the way to a new way of looking at markets. Consumers have now become a source of insight. The Indian Internet market is growing very fast and so is the use of social media. Therefore there is need to examine methods for social media selection problems. Methodology: The Analytic Hierarchy Process (AHP) has been used to model a complex problem based on multiple non-parametric criteria in a hierarchical structure showing the relationships between goals, criteria, uncertainties and alternatives, where experience, insight and intuition can all be used in a logical manner to derive standardized ratio scale priorities or weights. Findings: Based on the criteria Facebook had the highest composite weight followed by Twitter and finally Youtube. This result agrees with the findings of research based on survey of organisations. Implications: The paper recommends use of AHP as a useful supplement to intuitive decision-making that is normally reserved for media selection problem solving. Originality: Most of the original work in this area is qualitative. This quantitative paper will help in designing innovative and effective social media platform selection strategies for greater social mobilization. AHP can be assessed in terms of the clarity gained, the ability to judge more thoroughly, the scope for adaptation and change, and legitimisation of decision-making.

A Proposed Framework in Developing Sustainable Manufacturing Initiatives Using Analytic Hierarchy Process (AHP)

This paper proposes an evaluation framework of input elements in developing sustainable manufacturing (SM) initiatives using the hierarchical structure of sustainability indicators set developed by the US National Institute of Standards and Technology (US NIST) and the analytic hierarchy process (AHP). Determining priority input elements in the development process is essential to ensure that SM initiatives are responsive to the demands of sustainability at firm level. This evaluation exposes a challenge due to the multi-criteria nature of the problem and the presence of subjective criteria with limited available information on their measurement systems. The use of AHP in the context of the hierarchical structure of the US NIST sustainability indicators set provides a comprehensive and promising approach in identifying fundamental inputs in developing effective programs and initiatives that address sustainability. The contribution of this work lies on presenting a framework that could guide decision-makers, in a way that is simple and comprehensive, in their attempt to promote sustainability. Results and implications are reported in this work.