Retail Location Decision Using an Integrated DEMATEL-ANP Method

2018 ◽  
Vol 9 (1) ◽  
pp. 51-65 ◽  
Author(s):  
Satyendra Sharma ◽  
Srikanta Routroy ◽  
Rohan Desai
Keyword(s):  
Decision Making ◽  
Integrated Model ◽  
Location Decisions ◽  
Location Decision ◽  
Analytical Network Process ◽  
Scientific Methods ◽  
Network Process ◽  
Retail Location ◽  
Retail Chains ◽  
First Time

This study focuses on developing a model for making retail location decisions which addresses the limitations of existing methods. The integrated DEMATEL-ANP method used here successfully accounts for interdependencies between the selected criteria. After reviewing the existing methods for decision making, the Decision Making Trial and Evaluation (DEMATEL) and the Analytical Network Process (ANP) methods were chosen. DEMATEL evaluates the degrees of influence the criteria have on each other. ANP is used to assign weights to criteria and the sub-criteria, and eventually derive the weights for the alternative locations. The integrated model helps prioritize among the available alternatives based on scientific methods, much more reliable than intuition and experience based methods still practiced today. Adopting this method can help retail chains make more informed decisions. This is the first time an integrated DEMATEL-ANP method has been applied in the context of retail location decision.

scholarly journals DEVELOPING AN INTEGRATED MODEL FOR EVALUATING R&D ORGANIZATIONS’ PERFORMANCE: COMBINATION OF DEA-ANP

2021 ◽  
Vol 27 (4) ◽  
pp. 970-991
Author(s):  
Seyed Amirali Hoseini ◽  
Alireza Fallahpour ◽  
Kuan Yew Wong ◽  
Jurgita Antuchevičienė
Keyword(s):  
Decision Making ◽  
Productivity Growth ◽  
Growth And Development ◽  
Integrated Model ◽  
Data Envelopment ◽  
Analytical Network Process ◽  
Evaluative Criteria ◽  
Network Process ◽  
Acceptable Model ◽  
Decision Making Model

Assessing the performance of the Research and development (R&D) organizations to achieve higher productivity, growth, and development is always a critical necessity. Therefore, developing a more accurate model to evaluate the performance is always required. For this purpose, this study is aimed at developing a decision-making model for evaluating R&D performance. The model comes up with determining the most proper evaluative criteria for assessing R&D organizations. Then, it integrates Data Envelopment Analysis (DEA) with Analytical Network Process (ANP) to assess R&D performance. This paper is aimed to develop an integrated model for evaluating R&D performance. The findings of the study show that the DEA-ANP model is an accurate and acceptable model for evaluating R&D organizations’ performance.

scholarly journals A Model Proposed for the Prediction of Future Sustainable Residence Specifications Using Analytical Network Process

2019 ◽  
Vol 4 (3) ◽  
pp. 109
Author(s):  
Ayman M. Zakaria Eraqi ◽  
Walid Abdul-Hady Shoura
Keyword(s):  
Decision Making ◽  
Developing Countries ◽  
Demographic Characteristics ◽  
Relative Importance ◽  
Good Decision ◽  
Analytical Network Process ◽  
Network Process ◽  
Decision Structure ◽  
Occupant Satisfaction

In Egypt, people are unable to determine the qualities of appropriate residence that achieves quality and occupant satisfaction, and contributes to sustainability of residential conglomerations. In general, developing countries lack housing information which can be used to enhance quality of residence. Also, the methods of assessing and identifying the appropriate criteria for future residence quality remain traditional ones that cannot address the multiple, conflicting, overlapping aspects to reach a good decision. This calls for using the Analytical Network Process  (ANP), an effective tool for specifying the relative importance of all factors impacting a specific issue for making an appropriate residential decision. In addition, this method provides results for the decision element impacts network within the decision structure; thus contributing to more understanding of the mechanisms and requirements of residence selection. The proposed decision structure comprises a two-level network: main clusters, main elements, and sub-elements included in the demographic characteristics group, the residence criteria group, the demand parameters group, the supply parameters group, the residence specifications group, and the alternatives group which representing, in total, the decision and specifying the percentage needed for each housing level. Results of the model showed complete capacity in smoothly addressing complexities and overlapping in the decision structure. The decision structure showed that 52% chose luxury residence, 28% chose middle-class residence, and 19.5% chose the economic residence. Mechanisms of decision making were analyzed; particularly in terms of relationship to demographic characteristics and residence specifications. Also, the importance and impact of demand / supply parameters in reaching decision were analyzed.

scholarly journals Strategies for Improving the E-Waste Management Supply Chain Sustainability in Indonesia (Jakarta)

2021 ◽  
Vol 13 (24) ◽  
pp. 13955
Author(s):  
Nurhadi Wibowo ◽  
Jerry Kuswara Piton ◽  
Rahmat Nurcahyo ◽  
Djoko Sihono Gabriel ◽  
Farizal Farizal ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Public Education ◽  
Waste Management ◽  
Electronic Waste ◽  
Waste Streams ◽  
Analytical Network Process ◽  
The Public ◽  
The World ◽  
Network Process

Electronic waste (e-waste) has become one of the fastest-growing waste streams in the world. However, only 17.4% of it can be collected and recycled in 2019. This study aims to formulate strategies to improve the supply chain of e-waste management in Indonesia. Methods used to develop strategies in this study are the Decision-Making Trial and Evaluation Laboratory (DEMATEL), the Analytical Network Process (ANP), Strength–Weaknesses–Opportunities–Threats (SWOT), and the Quantitative Strategic Planning Matrix (QSPM). The results show that infrastructure criteria have the largest weight, that is 0.267, followed by a social environment with 0.261, regulation with 0.244, stakeholder with 0.122, and economy with 0.054. The top priority of the selected strategies is to improve public education (ST1) and provide socialization of regulations and sanctions to the public (ST2).

scholarly journals Selection of Industrial Robots for Automation Applications in Multiple Attribute Decision Making Environment using the Analytical Network Process

2018 ◽  
Vol 7 (3.12) ◽  
pp. 392 ◽  
Author(s):  
N Rishi Kanth ◽  
A Srinath ◽  
J Suresh Kumar
Keyword(s):  
Decision Making ◽  
Multiple Attribute Decision Making ◽  
Industrial Robots ◽  
Decision Makers ◽  
Analytical Network Process ◽  
Multiple Attribute ◽  
Network Process ◽  
Complex Relationships ◽  
Robot Selection ◽  
Selection Of

Analytical Network process (ANP), is applied here as a decision making technique for the selection of appropriate robots for industrial and automation applications. The core motivation of applying, in particular, the ANP technique is that robot selection is dependent upon a number of attributes and criteria which have strong influences/interdependencies upon each other. The ANP, as a multiple attribute decision making (MADM) technique for robot selection, captures the effects of these cross hierarchical dependencies, and appropriately maps the influences within the clusters and between the various alternatives. Simultaneously, the technique does not include the assumption of independence of higher-level elements from lower level elements and about the independence of the elements within a level. First, a set of attributes, which influence the selection of the robots, are identified. Next, using the various steps of ANP, viz., pair wise comparisons matrices and priority vectors determination and the development of the super-matrix the global weights of the attributes with respect to other attributes are determined. The final alternatives are then rated as per the graduated weights of the respective attributes. Thus, a comprehensive solution towards selection of robots enabling the decision-makers to suitably understand the complex relationships of the relevant qualitative and quantitative attributes in the decision-making is obtained. The technique is also illustrated using detailed analysis for a specific case of decision making between three robot suppliers and selection of appropriate robot from alternatives. In order to get more insight into relationships among various attributes and their effect on decision makers, the sensitivity analysis of the results with respect to determinant level attributes is carried out.   

Big Data Analytics: The New Boundaries of Retail Location Decision Making

2018 ◽  
Vol 4 (4) ◽  
pp. 390-408 ◽  
Author(s):  
Joseph Aversa ◽  
Sean Doherty ◽  
Tony Hernandez
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Location Decision ◽  
Retail Location

scholarly journals Use of Analytical Network Process Algorithm in the decision-making process

2021 ◽  
Vol 1933 (1) ◽  
pp. 012028
Author(s):  
Buyung Perdana Surya ◽  
Laila Refiana Sai ◽  
Jenita ◽  
Suwarno Suwarno ◽  
Wirdayani Wahab ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
Analytical Network Process ◽  
Network Process

Applying the Fuzzy Analytical Network Process in Digital Marketing

2016 ◽  
pp. 202-232 ◽  
Author(s):  
Patrick Kaltenrieder ◽  
Sara D'Onofrio ◽  
Edy Portmann
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Information Overload ◽  
Digital Marketing ◽  
Multi Criteria Decision Making ◽  
Analytical Network Process ◽  
Network Process ◽  
Mcdm Method ◽  
The Web ◽  
Advanced Visualization

The fuzzy analytical network process (FANP) is introduced as a potential multi-criteria-decision-making (MCDM) method to improve digital marketing management endeavors. Today's information overload makes digital marketing optimization, which is needed to continuously improve one's business, increasingly difficult. The proposed FANP framework is a method for enhancing the interaction between customers and marketers (i.e., involved stakeholders) and thus for reducing the challenges of big data. The presented implementation takes realities' fuzziness into account to manage the constant interaction and continuous development of communication between marketers and customers on the Web. Using this FANP framework, the marketers are able to increasingly meet the varying requirements of their customers. To improve the understanding of the implementation, advanced visualization methods (e.g., wireframes) are used.

Sign in / Sign up

Export Citation Format

Share Document