Analytic Network Process Framework Research Articles

Supplier selection for the halal instant food and export-oriented industry: a case study using ANP

In a competitive business environment, companies must carefully evaluate a range of complex factors to select suppliers that align with operational requirements and market demands. This study employs the Analytic Network Process (ANP) to identify and prioritize critical criteria for supplier selection, including halal certification, quality, sustainability, cost, delivery, flexibility, responsiveness, and technical capabilities. Data were collected through semi-structured interviews with supply chain managers and questionnaire-based surveys, integrating qualitative and quantitative insights. The ANP model was used to analyze the interdependence between these criteria, revealing that quality ranks highest (0.331), followed by halal certification (0.231) and cost (0.157). These findings highlight the priority given to maintaining high product quality and strict adherence to halal standards over short-term cost considerations. Supporting factors such as delivery, flexibility, responsiveness, technical capabilities, and sustainability were also evaluated for their roles in maintaining an efficient supply chain and meeting international logistics requirements. The structured ANP framework provides practical insights for halal instant food manufacturers, enabling them to optimize supply chain management and align with regulatory standards, market demands, and sustainability objectives. This approach enhances export capabilities and strengthens the competitive position of halal food producers in the global market

SELECTION OF ELECTRICITY TARIFF DESIGNS FOR DISTRIBUTION NETWORKS USING ANALYTIC NETWORK PROCESS

In electricity distribution networks, tariff designs set the interface between the users and network operators or service providers. Tariff designs provide the reference base for tariff schedules covering multiple categories of network users. It is widely accepted that electric utility rate designs have subjective and objective multi-criteria dependencies. Based on utility rate making literature, subcriteria for selection of tariff designs can be listed under the economic, technological, and social criteria. In this study, two widely used electricity tariff designs, volumetric or energy charges and capacity or demand charges are considered. In addition, real-time pricing and a hybrid tariff design that combines energy and capacity charges with critical peak pricing are also included in the comparison. Performance evaluation of these tariff designs on quantifiable parameters relating to economic aspects is carried out using the Tariff Design and Analysis Tool. Literature on electricity tariff designs and pricing provides the metadata on performance relating to qualitative criteria covering mainly the technological and social aspects. A synthesis of the quantitative and qualitative criteria evaluations was done by developing a Benefits-Opportunities-Costs-Risks (BOCR) model in the Analytic Network Process (ANP), a Multi-Criteria Decision Making methodology. A quantitative assessment of inconsistencies in evaluation and synthesis of the model using a consistency index shows that the developed ANP framework for tariff design selection is a valid approach. The developed BOCR model in ANP shows that the hybrid tariff design of Energy and Capacity charges with Coincident Peak Pricing is the best alternative. A sensitivity analysis shows that the ranking is variable when the BOCR priorities change.

Investigating the Role of Artificial Intelligence Technologies in the Construction Industry Using a Delphi-ANP-TOPSIS Hybrid MCDM Concept under a Fuzzy Environment

The construction business is always changing, and with the introduction of artificial intelligence (AI) technology it is undergoing substantial modifications in a variety of areas. The purpose of this research paper is to investigate the function of AI tools in the construction industry using a hybrid multi-criteria decision-making (MCDM) framework based on the Delphi method, analytic network process (ANP), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) under a fuzzy scenario. The ANP framework offers a systematic approach to quantifying the relative importance of AI technologies based on expert opinions gathered during the Delphi process, whereas the fuzzy TOPSIS methodology is used to rank and select the most appropriate AI technologies for the construction industry. The final results from the ANP revealed that the technological factors are the most crucial, followed by the environmental factors, which highly influence the AI environment. In addition, TOPSIS identified robotics and automation as the best AI alternative among the three options, followed by building information modeling (BIM), whereas computer vision was the least preferred among the list. The proposed hybrid MCDM framework enables a comprehensive evaluation and selection process that takes into account the interdependencies between AI technologies and uncertainties in decision-making.

Implementation Strategy of the Mutanaqishah Musyarakah Academic at Home Ownership Financing in Sharia Banks in Indonesia

This research aims to: (1) Knowing the obstacles faced in implementing the Mutanaqisah Musharaka Financing (2) The solutions taken to overcome these obstacles; and (3) the right strategy to apply musyarakah mutanaqisah financing. This study uses the Analytic Network Process (ANP) method and the assistance of Super Decision software. ANP is carried out in three stages, namely: first, in-depth interviews with Islamic banking experts and practitioners to identify the factors that influence the minimum amount of musyarakah mutanaqisah. Second, the results of the first step are used to create an ANP framework and a questionnaire addressed to Islamic banking experts and practitioners; and third, ANP analysis to determine the best priorities, solutions and strategies for implementing Musyarakah mutanaqisah financing in Islamic banking.The results showed that: (1) The constraints faced by Islamic banking in implementing Musyarakah Mutanaqisah financing for Islamic banking KPRS financing can be divided into two, namely internal and external problems. Internal problems stem from internal banking, banking human resources, and musyarakah mutanaqisah financing products. External problems originate from customers, authorities, and Islamic banks. The most priority problem faced is internal problems, namely human resources (HR) associated with low knowledge and skills about the MMQ contract. Meanwhile, the most dominant external problem is Islamic banking with a lack of insight into the MMQ contract. (2) The solutions given in determining the financing strategy for the musyarakah mutanaqisah are divided into two, namely internal and external solutions. The most priority solution comes from internal solutions, namely product solutions in the form of Islamic banking that must vary the contract, especially for the MMQ contract; and (3) The alternative with the most priority in determining the financing implementation strategy with the musyarakah mutanaqisah contract in Islamic banking is the Socialization and Education Program, followed by Contract Optimization, Portfolio Development, Image Strengthening, MMQ Segmentation Mapping, and MMQ financing market segmentation.

Interval-valued intuitionistic fuzzy analytic network process

The analytic network process framework is investigated to solve multi-criteria decision making problems in interval-valued intuitionistic fuzzy environments. First, a new approximate multiplicative consistent interval-valued intuitionistic fuzzy preference relation is defined, and the equivalent condition of approximate consistency is given by using the chance-constraint programming model of the Me measure. Second, a new method to derive the priorities from the interval-valued intuitionistic fuzzy preference relation is proposed, and the corresponding algorithm flow of the interval-valued intuitionistic fuzzy analytic network process is established. Finally, the feasibility and effectiveness of the interval-valued intuitionistic fuzzy analytic network process are verified by using a numerical example.

Performance indicator selection for operating room supply chains: An application of ANP

Manufacturing and maintenance processes significantly benefit from effective and integrated Supply Chain Management (SCM). Recently, hospitals start to recognize the importance of these logistics initiatives to improve their operational performance while also maintaining high quality of patient care. Patient care processes are supported by a range of supply chain activities including inventory management and distribution of medical supplies to point-of-care locations. At the operating room for instance, the logistics staff’s goal is managing materials and information flows to have the requested materials at the right operating room at the right time, in the most efficient way. However, poor inventory management, lack of standardization and lack of coordination between departments complicate healthcare logistics processes, and hence result in many waste. Opportunities for efficiency gains in these logistics processes can be identified by measuring the performance of the internal supply chain. This paper presents a rigorously defined logistics performance measurement framework to evaluate the efficiency of logistics processes in operating rooms. The Analytic Network Process (ANP) is utilized as a popular Multi-Criteria Decision-Making (MCDM) technique to provide effective decision-support models. The proposed ANP-based framework is a first step towards measuring the performance of operating room supply chain processes by selecting and prioritizing logistics objectives and associated Key Performance Indicators (KPIs). Further research is required to validate the ANP framework by including multiple stakeholders’ preferences, as they may have conflicting views on performance definitions. The final goal of the framework is to support hospital logistics managers in making transparent and informed decisions to improve inventory and distribution policies in the operating room while considering all stakeholders’ preferences.

Intuitionistic Fuzzy Analytic Network Process

Since the analytic network process (ANP) is much more flexible than the analytic hierarchy process in handling the multiple criteria decision making (MCDM) problems in which the criteria or subcriteria are interdependent, it has attracted many scholars’ attention and has been applied into many different areas. Given the powerfulness of intuitionistic fuzzy set in representing positive, negative, and indeterminate information, this paper investigates the ANP framework for the MCDM problems in which all the pairwise comparison judgment information over the objects are represented by intuitionistic fuzzy numbers. We first justify the way to decompose the MCDM problem into a holarchy and network structure, based on which, the intuitionistic fuzzy preference relations (IFPRs) can be constructed through pairwise comparisons over the goals, criteria, clusters as well as the elements. Considering that not all the IFPRs are consistent, we then propose a new method to derive the priorities from the IFPRs no matter the IFPRs are consistent or not. After that, we address the way to construct the supermatrix for those interdependent elements. The complete algorithm of intuitionistic fuzzy ANP (IFANP) is given and illustrated by a flow chart. To show the applicability and efficiency of the IFANP, we implement the method to a case study concerning the brand management of the six golden flowers of Sichuan liquor. Some comparative analyses are given to clarify the advantages and invalidation of the IFANP.

Assessing area-wide bikeability: A grey analytic network process

This article proposes a bikeability assessment method to evaluate zone-based friendliness to biking within an area. The proposed method is developed as an analytic network process (ANP) that contains grey numbers and multiple assessment criteria. The grey ANP is unique in bikeability literature and overcomes the disadvantages of existing assessment methods in the following ways. (1) The ANP framework can manage the interdependences among criteria and zones, (2) the multiple assessment criteria can consider comprehensive perspectives of bikeability, and (3) the grey numbers measure possible ranges of criteria performances and are good at handling various performances within a zone. The application of the method to the bikeability assessment of zones in Daan District, Taipei City, Taiwan not only verifies the effectiveness of the method but also provides action directions to the local administration in developing bike-friendly environments.

LCA Integrated ANP Framework for Selection of Sustainable Manufacturing Processes

In recent times, the focus of sustainable development has been shifted toward the process domain to achieve greater environmental benefits. Improved sustainability in the process domain can be achieved by selecting sustainable process or through improvement studies. In this study, sustainability performance of injection molding (IM) and selective laser sintering (SLS) processes are compared to select the sustainable process. Life cycle assessment (LCA) has been widely accepted for assessing the environmental performance of manufacturing process. However, the problem with LCA is the interpretation of impact category scores when comparing alternate processes. Therefore, an effort has been made to integrate analytical network process (ANP) methodology with LCA in which LCA methodology calculates the impact score and ANP computes the Single Point Process Sustainability Score (SPPSS) to compare alternate processes. Based on the inventory data collected for higher production rates, SPPSS for IM and SLS processes are computed as 0.038 and 0.068, respectively. Based on the score, IM has been identified as a sustainable process for higher production volume. Hence, the practical usability of the proposed methodology is validated by the study. This study also appreciates the application of ANP along with LCA for decision making in the real-time scenario.

Modeling the Metrics of Individual, Organizational and Technological Knowledge Sharing Barriers

In today's knowledge-based business, knowledge is the only source of competitive advantage for engineering industries. Knowledge sharing plays an important role in the success of knowledge management (KM). Knowledge sharing barriers (KSBs) become obstacles for KM to achieve the goals of the industries. In this paper, three categories of KSBs have been identified such as individual, organizational and technological. The main purpose of this research is to measure the effectiveness of individual, organizational and technological KSBs by the application of an analytical network process (ANP) framework which helps to the managers for taking decision to enhance the successful knowledge sharing in the engineering industries. An ANP framework has been developed with the help of identified determinants, dimensions and enablers to evaluate alternatives such as individual, organizational and technological KSBs. Results indicate that the organizational KSBs have the maximum effect on knowledge sharing followed by technological and individual KSBs.

Evaluation of harvesting methods for Sustainable Forest Management (SFM) using the Analytical Network Process (ANP)

Forest harvesting is a basic component of Sustainable Forest Management (SFM). Consideration of all aspects of harvesting operations in an effort to improve forest practices requires an approach that first addresses multiple criteria and incorporates a wide range of data. Second, the approach should provide a framework to evaluate both quantitative and qualitative criteria. In this study, the Analytical Network Process (ANP) is utilized to evaluate three existing harvesting methods by integrating the main components of the FAO Model Code of Harvesting Practice as an international mechanism for local management. The ANP framework helps forest managers to prioritize all alternatives and criteria with respect to each other and to develop their corresponding preferences. This study is an analysis of the environmental, economic, and social context of harvesting operations with the goal of making forest practices more sustainable and leading forest utilization to SFM. Although the criteria are calibrated for Caspian forests (northern Iran), the key principles applied here can be used or developed in other countries or regions.

Performance comparison based on customer relationship management using analytic network process

Customer relationship management (CRM) is a multi-perspective business paradigm which aims maximizing the benefits gained from relationships with customers. The aim of this paper is to compare the CRM performances of e-commerce firms using a multiple criteria decision making (MCDM) approach. Analytical network process (ANP) is a MCDM methodology which can take the inner and outer dependencies among multiple criteria into consideration. As there are dependencies among CRM performance evaluation criteria, ANP is used for comparing the CRM performances of the e-commerce firms under consideration. A sensitivity analysis also provided in order to monitor the robustness of the proposed ANP framework to changes in the weights of evaluation criteria. To the authors’ knowledge, this will be the first study which evaluates CRM performance using ANP.

An ANP framework for property pricing combining quantitative and qualitative attributes

This paper presents a new comparative methodology for the valuation of urban properties based on the Analytic Network Process (ANP), with the twin objective of overcoming the drawbacks found in classical urban valuation methods and enhancing the current set of tools available for the appraiser. The ANP enables to tackle contexts in which scant information is available, qualitative variables are considered and, unlike the Analytic Hierarchy Process, interdependences among variables are present, all very common situations in professional valuation practice, so this study proposes its application to the field of urban valuation. To illustrate the new proposal, a real case study is put forward alongside four different models for solving it, with the aim of analysing the varying accuracy of each model. It may be concluded that the more information taken into account in relation to the interdependences between criteria and alternatives, the greater the accuracy of the results.

Use of analytic network process in selecting knowledge management strategies

PurposeIn order to maintain competitive advantage, companies need to have and manage successful knowledge management (KM) strategies which are difficult to imitate. However, various critical factors, such as determinants, dimensions, and enablers, which affect the evaluation of a successful KM strategy, have not been systematically investigated. The purpose of this paper is to bridge this gap by providing a good insight into the use of analytic network process (ANP) that is a multi‐criteria, decision‐making methodology in selecting an appropriate KM strategy.Design/methodology/approachIn this study, after the decision criteria of KM strategy are introduced, an ANP model is developed and applied to KM strategy selection problem as a framework to guide KM managers.FindingsFirst, the comprehensive ANP framework presents a roadmap for successfully selecting an appropriate KM strategy for Turkish manufacturing organizations. Second, as compared to the human‐oriented KM strategy (HKM) and system‐oriented KM strategy (SKM), dynamic KM strategy (DKM) can lead to a more targeted improvement in terms of knowledge transparency, knowledge sharing and communication. Finally, findings demonstrate that the ANP model, with minor modifications, can be useful to all firms in their KM strategy selection decisions.Research limitations/implicationsThe developed ANP model provides firms with a simple, flexible, and easy to use approach to evaluate KM strategies efficiently. However, ANP is a highly complex methodology and requires more numerical calculations in assessing composite priorities than the traditional analytic hierarchy process (AHP) and hence it increases the effort.Originality/valueWhile the selection of a suitable KM strategy is an important component of organization's success, very little research has devoted explicit attention to this issue. ANP has the ability to be used as a decision‐making analysis tool since it incorporates feedback and interdependent relationships among decision criteria and alternatives. In addition, it gives valuable information and guidelines which hopefully will help the KM managers to evaluate KM strategies through their organizations in an effective way.

An analytic network process approach for sales forecasting

New product sales forecast is a difficult but essential task for companies, as it drives a variety of multifunctional decisions. Most new product forecasting literature presents sophisticated statistical techniques and complex methodologies with little or no thought given to ease of implementation. As a result, there is a significant gap between what forecast academics create and what forecast models professionals really seek. This study proposes a new product sales forecast model based on an Analytic Network Process framework. The analytic network process (ANP) is a multicriteria decision analysis technique that takes into account both tangible and intangible criteria with interdependencies and feedback among them. It is argued that the proposed framework is more flexible and is more comprehensive than traditional methods and previously developed models. The ANP model is illustrated through a real example concerning the sales forecast of a new edition (book).

Analytic network process decision-making to assess slicing machine in terms of precision and control wafer quality

We discuss and develop a manufacturing quality yield model to forecast the 12 in silicon wafer slicing based on an analytic network process (ANP) framework. The ANP is a general theory of relative measurement used to derive composite-priority-ratio scales from individual-ratio scales that represent the relative influence of factors that interact with respect to the control criteria. Through its supermatrix, which is composed of matrices of column priorities, the ANP framework captures the outcome of dependence and feedback within and between clusters of factors. Additionally, the proposed algorithm can select the evaluation outcomes to identify the optimal machine of precision. Finally, results of the EWMA control chart and Process Capability Indices demonstrate the feasibility of the proposed ANP-based algorithm in effectively selecting the evaluation outcomes and in evaluating the precision of the optimal performing machines. We illustrate how the ANP model implemented for helping the engineer can find out the manufacturing process yield quickly and effectively.

An Analytic Network Process model for financial-crisis forecasting

We discuss and develop an imbalance-crisis turning point model to forecast the likelihood of a financial crisis based on an Analytic Network Process framework. The Analytic Network Process (ANP) is a general theory of relative measurement used to derive composite-priority-ratio scales from individual-ratio scales that represent relative influence of factors that interact with respect to control criteria. Through its supermatrix, which is composed of matrices of column priorities, the ANP framework captures the outcome of dependence and feedback within and between clusters of explanatory factors. We argue that our framework is more flexible and is more comprehensive than traditional methods and previous models. We illustrate how the ANP model would be implemented for forecasting the probability of crises.

A Group Analytic Network Process (ANP) for Incomplete Information

In this paper, we propose an ANP framework for group decision-making problem with incomplete information. The proposed method consists of three parts, namely, aggregation of weights of alternatives, aggregation of weights of criteria and evaluation of global weights. In aggregating weights of alternatives, we calculate group weights from individual weights, which have been calculated by some AHP, by using a quadratic programming problem. In aggregating the weights of criteria, we calculate the weights for evaluating an alternative from the matrix, which is geometric average of pairwise comparison matrices of decision makers only who evaluate the alternative. Then the weights of criteria may be different in each alternative. Hence, we use the supermatrix method of ANP for evaluating global weights. A small numerical example shows that our proposed framework enables us to obtain the global weights of a group decision-making problem with incomplete information.

Using the Analytical Network Process (ANP) based on BOCR Model to select the most suitable region for forestation with almond species

Abstract. Mohammadi MF, Najafi A, Ahmadlo F. 2015. Using the Analytical Network Process (ANP) based on BOCR Model to select the most suitable region for forestation with almond species. Nusantara Bioscience 7: 118-127. Forestation is the answer not only to the growing demand for timber and wood fiber, but also to the problem of deforestation. Forests in arid and semi-arid regions are in the specific conditions because of being in short of water and soil nutrition. Therefore, protection and rehabilitation of these forests is of very important due to its environmental condition as well as selecting suitable species for forestation. Considering all aspects of forestation in an effort to improve forest practices requires an approach that addresses multiple criteria and incorporates a wide range of data. After that, the approach should provide a framework to evaluate both quantitative and qualitative criteria. In this study, the Analytical Network Process (ANP) is utilized to evaluate four existing sites for forestation with Almond (Amygdalus scoparia) in Markazi province, central of Iran. The ANP framework helps forest managers to prioritize all the alternatives and criteria with respect to each other and developing their corresponding preferences. This study is an analysis of the environmental, social-economic, and sustainability-genetic diversion context of forestation with the goal of making forest practices more sustainable. The results indicate that Risk and Cost priorities are more important in making decision (0.53, 0.47), compared to Benefits and Opportunities (0.29, 0.25). The final synthesis of the system shows that Sarabadan (B site) is the best choice among four potential regions which were evaluated for forest plantation based on judgment’s comparisons.