Multi-Criteria Decision Making for Solar Panel Selection Using an Integrated Analytical Hierarchy Process and VIKOR approach: A case study

Author(s):  
A. SIVASANGARI ◽  
Gnanasekaran Sasikumar
2013 ◽  
Vol 64 (3) ◽  
Author(s):  
Seyed Navid Seyedi ◽  
Saeed Hakimi ◽  
Hadi Badri Ahmadi ◽  
Pouyan Rezvan ◽  
Mozghan Izadifar

Decision making is contemplated as a serious task in management context and it becomes more challenging when appropriate alternatives should be selected among various options based on some criteria. Analytical Hierarchy Process (AHP) is one of the multi-criteria decision making methods, which is widely used in management science because of its reliable and acceptable performance. In this study, a novel execution of adjusted AHP in decision making was utilized in a case study in Iran in order to find the best method for application of lean concept among alternatives. Previous-mentioned alternatives are consulting, college student, and internal human resource. Case study results demonstrated that using consultants for carrying out lean tools is the best method. The degree of consistency is satisfactory and proved the accuracy and correction of application of AHP in finding the best method for implementation of lean tools.


Author(s):  
NORITA AHMAD ◽  
DANIEL BERG ◽  
GENE R. SIMONS

This research focuses on developing a model that can be used to assess the performance of Small to Medium-Sized Manufacturing Enterprises (SMEs). The model will result from the integration of a decision tool called the Analytical Hierarchy Process (AHP) and a data analysis model called Data Envelopment Analysis (DEA). This research demonstrates that by eliminating flaws and taking advantage of each methodology's specific characteristics in identifying and solving problems, the new integrated AHP/DEA model appears to be a logical and sensible solution in multi-criteria decision-making problem.


Author(s):  
Beyza Ahlatcioglu Ozkok ◽  
Elisa Pappalardo

Making decisions is a part of daily life. The nature of decision-making includes multiple and usually conflicting criteria. Multi Criteria Decision-Making (MCDM) problems are handled under two main headings: Multi Attribute Decision Making (MADM) and Multi Objective Decision Making (MODM). Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision making approach and has successfully been applied to many practical problems. Traditional AHP requires exact or crisp judgments (numbers). However, due to the complexity and uncertainty involved in real world decision problems, decision makers might be more reluctant to provide crisp judgments than fuzzy ones. Furthermore, even when people use the same words, individual judgments of events are invariably subjective, and the interpretations that they attach to the same words may differ. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Here, the authors overview the most known fuzzy AHP approaches and their application, and they present a case study to select an e-marketplace for a firm, which produces and sells electronic parts of computers in Turkey.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 53687-53697 ◽  
Author(s):  
Desmond Jun Yi Tey ◽  
Yee Fei Gan ◽  
Ganeshsree Selvachandran ◽  
Shio Gai Quek ◽  
Florentin Smarandache ◽  
...  

Symmetry ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 363
Author(s):  
Ran Li ◽  
Tao Sun

The recent hype in online purchasing has skyrocketed the importance of the electronic commerce (e-commerce) industry. One of the core segments of this industry is business-to-consumer (B2C) where businesses use their websites to sell products and services directly to consumers. Thus, it must be taken care of that B2C websites are designed in a way which can build a trustworthy and long-term relationship between businesses and consumers. Thus, this study assesses and prioritizes factors for designing a successful B2C e-commerce website. The study employs multi-criteria decision making (MCDM), and to minimize any ambiguity and greyness in the decision-making, it integrates fuzzy and grey respectively with the Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to form FAHP and TOPSIS-Grey. Initially, the study conducts a thorough literature survey to screen important factors reported in past studies. Five main factors and nineteen sub-factors were selected for further prioritization. Later, FAHP prioritized factors based on their importance. Finally, based on the FAHP results, TOPSIS-Grey ranked five alternatives (e-commerce websites). FAHP revealed “service quality” as the most successful website designing factor, while TOPSIS-Grey reported “Website-3” as the most successful website, having incorporated the factors required to design a successful website.


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