scholarly journals Evaluating Performance of Software Durability through an Integrated Fuzzy-Based Symmetrical Method of ANP and TOPSIS

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 493 ◽  
Author(s):  
Suhel Ahmad Khan ◽  
Mamdouh Alenezi ◽  
Alka Agrawal ◽  
Rajeev Kumar ◽  
Raees Ahmad Khan
Keyword(s):  
Early Stage ◽  
Quantitative Estimation ◽  
Analytic Network Process ◽  
Ideal Solution ◽  
Effective Technique ◽  
New Approach ◽  
Network Process ◽  
Optimal Maintenance ◽  
The Cost ◽  
Symmetrical Method

Acceptance of any new approach by the organizations depends upon the users’ needs. Currently, reducing the cost and time invested in maintenance is a major challenge for the practitioners. Moreover, symmetrical and optimal maintenance is the need of the hour and it can be achieved by increasing the durability of software. Many attributes of the quality may affect the durability of the software and identification of durability attributes is a crucial task at the early stage of software development. Thus, it is a problem that contains multi-criteria within it. With the help of quantitative estimation, software durability may be assessed symmetrically and increased. In this row, the authors of this article have attempted to posit an effective technique to assess the durability of software. Based on empirical data through research, the presenters of this article suggest that fuzzy-based symmetrical method of Analytic Network Process (ANP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) would be an accurate methodology for assessing the durability of software. For determining the efficacy of this assessment, the researchers took six alternative software of a University. The results, as presented in this paper, would serve as guidelines for the practitioners who aim at achieving the preferred software durability.

scholarly journals Evaluating Green Performance of Suppliers via Analytic Network Process and TOPSIS

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Gülşen Akman ◽  
Hamit Pışkın
Keyword(s):  
Performance Evaluation ◽  
Evaluation System ◽  
Evaluation Criteria ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Ideal Solution ◽  
Manufacturing Companies ◽  
Green Performance ◽  
Network Process ◽  
Green Suppliers

Developments in environmental issues in the last few years have been forcing manufacturing companies to improve their environmental performances. Many firms developed integrated relationships with their suppliers to increase their environmental performance and to decrease their hazardous effects on the environment. Then, selecting suitable and green suppliers in the supply chain has become a key strategic consideration. A performance evaluation system for green suppliers is necessary to determine the suitability of suppliers to cooperate with the firm. Therefore, in this study, a model for evaluating green performance of suppliers is proposed, and a hybrid multicriteria decision making model is developed in order to evaluate green performance of the suppliers. The analytical network process technique is applied to handle the relationships and dependence of selection criteria and subcriteria and determine weights of the criteria. The technique for order preference by similarity to ideal solution is used to sequence the suppliers for ideal solution of the suppliers’ green performance evaluation problem. After a comprehensive literature survey, evaluation criteria of green performance for suppliers are determined. Finally, green performance of 18 suppliers of an automobile company was evaluated by this model. These 18 suppliers manufacture chassis and its components.

Cost Effects of Modular Product Family Structures: Methods and Quantification of Impacts to Support Decision Making

2017 ◽  
Vol 139 (2) ◽  
Author(s):  
Sebastian Ripperda ◽  
Dieter Krause
Keyword(s):  
Decision Making ◽  
Early Stage ◽  
Management Strategies ◽  
Product Family ◽  
Product Variety ◽  
Family Structures ◽  
New Approach ◽  
Modular Product ◽  
Reducing Costs ◽  
The Cost

Customer demands and global markets prompt companies to offer increasing product variety. The use of modular product structures is a possible strategy for providing the necessary external variety to the market and reducing costs by lowering internal variety within the company. Current research provides several approaches for developing modular product family structures. As modularity is a gradual property, these methods generate different product structure concepts and companies have to decide at an early stage and without detailed information which concepts to implement. Most existing modularization methods offer only little or no support for decision making, particularly in terms of cost effects. This article illustrates the cost effects of variety and modular product family structures, the various cost impacts of variety management strategies and modularization methods in a literature review. A new approach to quantify these cost effects to support concept selection during modular product family design is introduced.

Risk Evaluation of Charging Facilities of Electric Vehicles Based on Fuzzy Analytic Network Process

2014 ◽  
Vol 1070-1072 ◽  
pp. 1600-1608 ◽  
Author(s):  
Jun Dong ◽  
Gui Yuan Xue ◽  
Bing Jing Wang
Keyword(s):  
Electric Vehicles ◽  
Early Stage ◽  
Evaluation Model ◽  
Analytic Network Process ◽  
Real Problem ◽  
Scanning Method ◽  
Stage Of Development ◽  
Social Risks ◽  
Network Process ◽  
Fuzzy Analytic Network Process

With the development of the electric vehicles, the planning and construction of the charging facilities rapidly grow. However, as a new thing, it is still in the early stage of development, accompanied with large uncertainty and high investment risk for enterprises. So it is a real problem to identify these risks and avoid them. The paper analyzes these risks using environmental scanning method for the first time and sums them up to 6 main risks: the policy and legal risks, the social risks, the economic risks, technology and industry risks, risks of resources and competence in enterprise; This paper also build a evaluation model based on fuzzy analytic network process. At last we put forward several coping strategies to some key risks. The work of this paper helps enterprises to identify risks of charging facilities and avoid them.

scholarly journals Analytic Network Process-Based Multi-Criteria Decision Approach and Sensitivity Analysis for Temporary Facility Layout Planning in Construction Projects

2018 ◽  
Vol 8 (12) ◽  
pp. 2434 ◽  
Author(s):  
Haifeng Jin ◽  
Mingyuan Zhang ◽  
Yongbo Yuan
Keyword(s):  
Labor Productivity ◽  
Construction Projects ◽  
Facility Layout ◽  
Spatial Relation ◽  
Analytic Network Process ◽  
Planning Problem ◽  
Layout Planning ◽  
Sensitivity Evaluation ◽  
Network Process ◽  
The Cost

In construction projects, the planning objectives include the safety and labor productivity of the activities, along with the cost influence affecting the overall performance of construction. Temporary facilities are critical in supporting structures and equipment that impact the direct task executions and resource transportation during various construction stages. The positioning of temporary facilities and the relative spatial relation between multiple facilities are critical factors that affect the success of construction delivery. To ensure the balance among safety, labor productivity and construction cost performance, all influencing factors associated with the construction objectives should be taken into account in temporary facility layout planning. This paper proposes a novel multi-criteria temporary facility layout planning model that integrates Analytic Network Process (ANP) modeling and simulation-based sensitivity evaluation, which effectively transforms the spatial layout planning problem into a mathematical decision problem. An application example is analyzed to demonstrate its capabilities of optimizing temporary facility layout planning. The proposed framework provides the construction managers and layout planners with a useful tool for selecting the optimal alternative of temporary facility layout plan on the construction site.

scholarly journals USING A HYBRID MODEL TO EVALUATE DEVELOPMENT STRATEGIES FOR DIGITAL CONTENT

2015 ◽  
Vol 23 (6) ◽  
pp. 795-809 ◽  
Author(s):  
Ching-Chiang YEH
Keyword(s):  
Evaluation Model ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Development Strategies ◽  
Digital Content ◽  
Illustrative Case ◽  
Ideal Solution ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
Network Process

Digital content (DC) is one of the most important areas of growth within the global creative and knowledge-based economy. The paper aims to propose a systematic approach to evaluating strategies to develop DC industry and how it should be effectively implemented. Our analysis employs a hybrid multiple criteria decision making (MCDM) approach by using the interpretive structural modelling (ISM) method to deal with the interrelationship among criteria, and the analytic network process (ANP) method is employed to determine the relative weights of each criterion. Finally, in order to choose the alternative for the ideal solution of this problem, a technique for order performance by similarity to ideal solution (TOPSIS) is used. To demonstrate the validity of this method, the Taiwan’s DC industry is used as an illustrative case. The study generates results that can serve as a reference for decision-makers in the formulation of their development strategies for DC. Moreover, the evaluation model constructed in this study goes beyond existing measures and may serve as a reference for a decision-maker.

scholarly journals Exploring Company Performance Measurement for Truck Manufacturers

2020 ◽  
Vol 10 (1) ◽  
pp. 102-124
Author(s):  
Qinqin Zeng ◽  
Wouter W.A. Beelaerts van Blokland
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Analytic Network Process ◽  
Quantitative Model ◽  
Series Data ◽  
Fiscal Year ◽  
Company Performance ◽  
Ideal Solution ◽  
Network Process

This paper aims to develop a quantitative model of company performance from an inventory perspective for truck manufacturers. With the inventory performance as a new dimension, fourteen indicators are identified to form a conceptual framework for truck manufacturers to measure their company performance. Accordingly, techniques of the fuzzy logic and the analytic network process (ANP) are used to generate the quantitative model, considering the interdependency between the indicators and the uncertainty arising from human qualitative judgments. A case study is conducted in nine truck manufacturers, with time series data from the fiscal year 2004 to 2015. The ranking result out of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used as a validation, which proves the higher accuracy of the model developed.

Maintenance Strategy Evaluation Using ANP and Goal Programming

2011 ◽  
Vol 2 (2) ◽  
pp. 56-77 ◽  
Author(s):  
Sarojini Jajimoggala ◽  
V. V. S. Kesava Rao ◽  
Beela Satyanarayana
Keyword(s):  
Goal Programming ◽  
Multiple Criteria Decision Making ◽  
Cost Savings ◽  
Integrated Approach ◽  
Analytic Network Process ◽  
Maintenance Strategy ◽  
Maintenance Policy ◽  
Network Process ◽  
Criteria Weights ◽  
Optimal Maintenance

An optimal maintenance strategy mix is necessary for increasing availability and reliability levels of production facilities without significantly increasing operational costs. The selection of maintenance strategies is a typical Multiple Criteria Decision-Making (MCDM) problem with conflicting goals. Consideration of interdependence among the criteria and alternative policies for maintenance strategy provides valuable cost savings and greater benefits for any hybrid flow systems. For any decision maker, it is convenient to prioritize the criteria of MCDM problems and goals of goal programming problems in fuzzy terms. This paper presents an integrated approach for maintenance policy selection, using fuzzy Analytic Network Process (ANP) within a Goal Programming, based on fuzzy preemptive priority where goal hierarchies are specified in different levels of fuzzy importance. To overcome the criticism of inconsistency, unbalanced scale of judgments and uncertainty in the pair-wise comparison process, criteria weights are determined using modified fuzzy LLSM method.

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