scholarly journals IMPROVING STRATEGIC ORIENTATIONS FOR PROMOTING HOTEL SERVICES USING AN INTEGRATED ROUGH MAGDM MODEL

2019 ◽  
Vol 25 (2) ◽  
pp. 188-218 ◽  
Author(s):  
James J. H. Liou ◽  
Artūras Kaklauskas ◽  
Ming-Tsang Lu ◽  
Yen-Ching Chuang
Keyword(s):  
Decision Making ◽  
Customer Orientation ◽  
Practical Experience ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Domain Experts ◽  
Strategic Orientations ◽  
Multiple Attribute ◽  
Network Process ◽  
Hotel Service

This study aims to assist decision makers to improve hotel service performance by developing strategic orientations. Strategic orientations are imprecise and subjective: they vary according to domain experts’ opinions and practical experience. This study develops an integrated rough multiple attribute group decision-making (MAGDM) model that supports decision makers to acquire a systematic view of strategic methods for improving performance to the desired level. The model incorporates three methods. First, we use the rough number approach to determine group opinions from the practical experience of domain experts. We then apply the rough decision making trial and evaluation laboratory (DEMATEL)-based analytic network process to develop a rough influential network relation map (RINRM). The rough influential weights based on strategic orientations and their corresponding attributes are calculated. Finally, we use the modified complex proportional assessment of alternatives with gray relations (mCOPRAS-G) and the influential weights to calculate the relationship ratio between performance and aspiration level. Our model flexibly assesses the vagueness involved in decision-making, enabling more objective expert estimation of attributes in subjective surroundings than traditional multiple attributes decision-making models. We use the Taiwanese hotel industry as an empirical case study. Our study provides useful information on how to enhance hotel services and achieve optimal performance based upon expert judgments and the RINRM. The results show that customer orientation is the optimal strategy for hotel service promotion.

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.   

Strategic Decision Making for Outsourcing Information Systems with a Fuzzy Multi-criteria Decision-Making Approach

2018 ◽  
Vol 6 (8) ◽  
pp. 6
Author(s):  
Mahmoud Modiri ◽  
Mohammad Dashti
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Strategic Decision ◽  
Multi Criteria Decision Making ◽  
Service Support ◽  
Proposed Model ◽  
Network Process ◽  
Selection Of

Today, IS supplier selection is one of the most critical steps in the outsourcing process; the success of outsourcing is highly dependent on the selection of IS suppliers. This paper proposes a new hybrid fuzzy multi-criteria decision-making (MCDM) model, which uses decision-making trial and evaluation laboratory (DEMATEL) technique, analytic network process (ANP), and Vlse Kriterijumska Optimizacija I Kompromisno Resenje(VIKOR) to evaluate four potential suppliers using seven factors and five decision makers using a realistic case study. the results showed that Service support is importance for outsourcing. The proposed model can help practitioners improve their decision making process.

scholarly journals The Analytic Network Process: Astronomy, Icebergs, and Big Box Stores

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Orrin Cooper
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Retail Store ◽  
Decision Makers ◽  
Disruptive Technology ◽  
Network Process ◽  
Big Box

The Analytic Network Process (ANP) is a disruptive technology that has had significant impacts in the field of decision-making. By drawing on an analogy to the field of astronomy we can see that even with all that has been developed we must avoid the illusion of thinking that the field is mature and fully discovered. The ANP has many parallels to icebergs from what portion is visible to the value of providing relevant warning products. One of the most important contributions going forward will be the discovery of the more complex and hidden relationships and tests that ANP decision makers can use to test their models. These discoveries will improve both the reputation of the ANP and decision maker’s confidence in their models. Without these discoveries, the ANP runs the risk of becoming like a big box retail store.

scholarly journals A Sustainable Manufacturing Strategy from Different Strategic Responses under Uncertainty

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Lanndon Ocampo ◽  
Eppie Clark ◽  
Kae Vines Tanudtanud
Keyword(s):  
Decision Making ◽  
Sustainable Manufacturing ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Manufacturing Strategy ◽  
Triangular Fuzzy Numbers ◽  
Strategic Responses ◽  
Huge Amount ◽  
Network Process

This paper presents a decision framework that highlights the integration of manufacturing strategy (MS) and sustainability along with strategic responses as a significant component. This integration raises complexity and uncertainty in decision-making following the number of subjective components with their inherent relationships that must be brought into context and the huge amount of required information in eliciting judgments. Thus, a proposed hybrid multicriteria decision-making (MCDM) approach in the form of an integrated probabilistic fuzzy analytic network process (PROFUZANP) is adopted in this work. In this method, analytic network process (ANP) serves as the main framework in identifying policy options of manufacturing strategy. Fuzzy set theory (FST) is used to describe vagueness in decision-making which is carried out by eliciting judgments in pairwise comparisons using linguistic variables with corresponding triangular fuzzy numbers (TFNs). Probability theory is used to handle randomness in aggregating judgments of multiple decision-makers. Results show that a stakeholder-oriented approach is considered the most relevant strategic response in developing a sustainable manufacturing strategy. The contribution of this work lies in identifying the policies which constitute a sustainable manufacturing strategy using an integrated MCDM approach under uncertainty.

Evaluation of the Environmental Logistics Performance Based on the Analytic Network Process

2010 ◽  
Vol 439-440 ◽  
pp. 760-765
Author(s):  
Jin Yu Wei ◽  
Ting Yuan ◽  
Ran Bi
Keyword(s):  
Decision Making ◽  
Index System ◽  
Evaluation Method ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Network Process ◽  
Traditional Evaluation

Environmental logistics was paid great attention as the results of the rapid developments of society and economy, and threats of the materials and environment. Many experts have studied the environmental logistics, but few of them do evaluation on it. This paper built a reasonable index system and used the decision-making method ANP to improve the traditional evaluation method. The ANP is a method with dependence and feedback and was done in the paper by using the Super Decisions software, the report of which can do a favor for the related decision-makers.

CPT-MABAC method for spherical fuzzy multiple attribute group decision making and its application to green supplier selection

2021 ◽  
pp. 1-11
Author(s):  
Huiyuan Zhang ◽  
Guiwu Wei ◽  
Xudong Chen
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Supplier Selection ◽  
Group Decision ◽  
Comparison Method ◽  
Entropy Method ◽  
Decision Makers ◽  
Green Supplier Selection ◽  
Multiple Attribute ◽  
Psychological Perceptions

The green supplier selection is one of the popular multiple attribute group decision making (MAGDM) problems. The spherical fuzzy sets (SFSs) can fully express the complexity and fuzziness of evaluation information for green supplier selection. Furthermore, the classic MABAC (multi-attributive border approximation area comparison) method based on the cumulative prospect theory (CPT-MABAC) is designed, which is an optional method in reflecting the psychological perceptions of decision makers (DMs). Therefore, in this article, we propose a spherical fuzzy CPT-MABAC (SF-CPT-MABAC) method for MAGDM issues. Meanwhile, considering the different preferences of DMs to attribute sets, we obtain the objective weights of attributes through entropy method. Focusing on the current popular problems, this paper applies the proposed method for green supplier selection and proves for green supplier selection based on SF-CPT-MABAC method. Finally, by comparing existing methods, the effectiveness of the proposed method is certified.

scholarly journals Model-driven development platform selection: four industry case studies

2021 ◽  
Author(s):  
Siamak Farshidi ◽  
Slinger Jansen ◽  
Sven Fortuin
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Decision Makers ◽  
Development Activity ◽  
Model Driven Development ◽  
Domain Experts ◽  
Theoretical Contribution ◽  
Model Driven ◽  
Development Platform ◽  
Software Production

AbstractModel-driven development platforms shift the focus of software development activity from coding to modeling for enterprises. A significant number of such platforms are available in the market. Selecting the best fitting platform is challenging, as domain experts are not typically model-driven deployment platform experts and have limited time for acquiring the needed knowledge. We model the problem as a multi-criteria decision-making problem and capture knowledge systematically about the features and qualities of 30 alternative platforms. Through four industry case studies, we confirm that the model supports decision-makers with the selection problem by reducing the time and cost of the decision-making process and by providing a richer list of options than the enterprises considered initially. We show that having decision knowledge readily available supports decision-makers in making more rational, efficient, and effective decisions. The study’s theoretical contribution is the observation that the decision framework provides a reliable approach for creating decision models in software production.

scholarly journals The Decision Making Trial and Evaluation Laboratory (Dematel) and Analytic Network Process (ANP) for Safety Management System Evaluation Performance

2018 ◽  
Vol 31 ◽  
pp. 12006 ◽  
Author(s):  
Lisa Rolita ◽  
Bayu Surarso ◽  
Rahmat Gernowo
Keyword(s):  
Decision Making ◽  
Management System ◽  
Evaluation System ◽  
Safety Management ◽  
Analytic Network Process ◽  
Performance Criterion ◽  
Questionnaire Data ◽  
Safety Management System ◽  
International Airport ◽  
Network Process

In order to improve airport safety management system (SMS) performance, an evaluation system is required to improve on current shortcomings and maximize safety. This study suggests the integration of the DEMATEL and ANP methods in decision making processes by analyzing causal relations between the relevant criteria and taking effective analysis-based decision. The DEMATEL method builds on the ANP method in identifying the interdependencies between criteria. The input data consists of questionnaire data obtained online and then stored in an online database. Furthermore, the questionnaire data is processed using DEMATEL and ANP methods to obtain the results of determining the relationship between criteria and criteria that need to be evaluated. The study cases on this evaluation system were Adi Sutjipto International Airport, Yogyakarta (JOG); Ahmad Yani International Airport, Semarang (SRG); and Adi Sumarmo International Airport, Surakarta (SOC). The integration grades SMS performance criterion weights in a descending order as follow: safety and destination policy, safety risk management, healthcare, and safety awareness. Sturges' formula classified the results into nine grades. JOG and SMG airports were in grade 8, while SOG airport was in grade 7.

scholarly journals Applying ANP in Establishing a Decision-Making Model for the Destination Selection of Large-scale Exhibitions

2017 ◽  
Vol 7 (1) ◽  
pp. 100
Author(s):  
Wen-Tsung Wu ◽  
Chie-Bein Chen
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Analytic Network Process ◽  
Cost Ratio ◽  
Benefit Cost Ratio ◽  
Network Process ◽  
Second Tier ◽  
High Benefit ◽  
Decision Making Model ◽  
Selection Of

This study investigates the decision-making issues in the selection of destinations for large-scale exhibitions by the cultural and creative industry. We use the Rubber Duck China Tour by the Dutch artist Florentijn Hofman as an example and adopt the analytic network process technique to evaluate destination options for the exhibition, as well as to explore the impacts of the evaluation of destination feasibilities on exhibition investment. The results show that power, a high benefit-cost ratio, first-tier cities, integration with local communities, and a rich and interesting theme are the top five factors that curators should consider when planning exhibitions. Considering the priority among cities of various tiers, first-tier cities are the most favorable, followed by fourth-tier, third-tier, and second-tier cities. The decision-making model provides curators with a reliable reference for selecting destinations for future exhibitions.

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