A multi-criteria decision making method for sustainable development of Naples port city-area

2014 ◽  
Vol 49 (4) ◽  
pp. 1647-1659 ◽  
Author(s):  
Bice Cavallo ◽  
Livia D’Apuzzo ◽  
Massimo Squillante
Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1274
Author(s):  
Ngoc Bao Tu Nguyen ◽  
Gu-Hong Lin ◽  
Thanh-Tuan Dang

The COVID-19 pandemic has boosted the growth of the online food delivery (OFD) market in every corner of the world. In Vietnam, the food delivery service is rising rapidly and opening a large gateway of opportunities for numerous OFD platforms, also making it a competing business market in this country. Thus, to keep up with the ever-changing market dynamics, there are numerous measures and dimensions for the OFD entrepreneurs to take into consideration towards sustainable development. This paper’s objective is to evaluate major OFD companies in Vietnam based on a comprehensive set of criteria, which are social and environmental criteria (healthy and safety, information security, and environmental impact), economic criteria (delivery cost, operational capability, and risk management), service quality (order fulfillment, delivery speed, convenience of payment, online/offline service level, and customer feedback), and technology (web design, real-time tracking systems, and marketing techniques). To achieve this objective, this work proposes a multi-criteria decision-making (MCDM)-based framework combining the fuzzy analytic hierarchy process (FAHP) and the weighted aggregated sum product assessment (WASPAS). The FAHP is used to generate criteria weights in which fuzzy set theory is applied to translate the linguistic evaluation statements of experts. Then, WASPAS is used to rank the OFD companies against the selected criteria. The evaluation criteria that have obtained maximum weight priority in the FAHP analysis are “convenience of payment”, “delivery speed”, “online service level”, “order fulfillment”, and “delivery cost”. From the final ranking of WASPAS, Foody is today the best performing OFD player in Vietnam regarding the selected criteria, followed by GrabFood and Now. The proposed methodology can be an accurate and robust evaluation model for the industry, while the managerial implications of this study provide significant materials for decision-makers in the OFD market in improving their businesses towards sustainable development.


2019 ◽  
Vol 8 (1) ◽  
pp. 102-109
Author(s):  
Ayan Chattopadhyay ◽  
Somarata Chakraborty

The success of Millennium Development Goals (MDGs) has led to the initiation of Sustainable Development Goals by the United Nations, earmarking a time frame of 2016–2030 for its achievement. The Sustainable Development Goals framework consists of 17 goals and 169 targets within the three broader dimensions of economic, social and environmental development. The performance evaluation of Indian states and union territories, available in SDG India Index Baseline Report, 2018, has been recently concluded by NITI Aayog. Focusing on goal 4that puts thrust on quality education, NITI Aayog has considered 7 criteria capturing targets 4.1 besides 4.c and 36 alternatives (Indian states and union territories) within a multi criteria decision making environment where criteria weights are assumed to be equal, performance calculated on the basis of simple arithmetic average theory and missing value cases not considered in their computation. This simplistic approach partially captures the effect of complex interplay between the multiple criterions. The purpose of this paper is to re-evaluate the performance of Indian states and union territories with respect to goal 4of Sustainable Development Goals, as estimated by NITI Aayog. It also aims to provide a more holistic picture on performance ranking by incorporating varying weights of criteria, as obtained from Shannon’s entropy, and replacing arithmetic average theory with a more rigorous mathematical model within the domain of multi criteria decision making. In this study Technique for Order Preference by Similarity to Ideal Solution have been used to generate an index for ranking alternatives and all missing values have been figured from expectation maximization algorithm. As expected, rank reversal phenomenon has been observed and a very low level of convergence between ranks obtained from the proposed approach and that of NITI Aayog emerges.


Buildings ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 244 ◽  
Author(s):  
Karolina Ogrodnik

The primary goal of this paper is to present the application potential of MCDM/MCDA (multi-criteria decision-making/multi-criteria decision analysis) methods in the field of architecture and urban planning and in energy efficient construction, especially in the context of sustainable development paradigm. The first part of this paper is devoted to literature studies pertaining to multi-criteria decision-making support in the selected fields. On the basis of the delivered review, it was demonstrated that the most popular methods belonging to the MCDM/MCDA group that have been used so far for the purpose of resolving selected decision-making challenges, is the AHP (analytic hierarchy process) method with modifications, TOPSIS (technique for order of preference by similarity to ideal solution) method, as well the up-and-coming COPRAS (complex proportional assessment) method. In addition, by reviewing the literature, it was found that MCDM/MCDA methods constitute an effective support tool at the stage of evaluating and selecting project solutions, and are especially helpful in framing various social, economic, environmental criteria that are permanently linked to the rule of sustainable development. The empirical section of this paper, through a case study, presents a comparative analysis of the classical AHP method with its extension onto fuzzy sets. The case study pertained to the criteria for the location of single-family residential buildings with solar installations.


2017 ◽  
Vol 7 (4) ◽  
pp. 51 ◽  
Author(s):  
Janaina M. de A. Dias ◽  
Eduardo G. Salgado ◽  
Sandro Barbosa ◽  
Augusto D. Alvarenga ◽  
Jean M. S. Lira

For the quantification and ranking of sustainablility reliable indicators are needed in the economic, social and environmental areas. For this, decision-making methods have been used to identify and rank the most important indicators. However, it is important to know which method to use, since this choice can modify the result. Therefore, two methods of multi-criteria decision making were evaluated: Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and TOPSIS with Hierarchical Analytical Process (AHP). It was observed a difference between the methods tested, where the TOPSIS-AHP method presented better performance as a function of the weights assigned by the specialists. The research results demonstrated which countries have a more balanced sustainable development in environmental, social and economic levels together. In this case, the three most sustainable countries are Switzerland, Sweden and Norway. Additionally this research shows which countries are more sustainable taking into account each indicator separately. It is expected that the results provide a basis in decision-making and it contribute to the best choices in all aspects of sustainability.


2020 ◽  
Vol 12 (11) ◽  
pp. 4606 ◽  
Author(s):  
Min-Yuan Cheng ◽  
Shu-Hua Yeh ◽  
Woei-Chyi Chang

In Taiwan, the most advantageous tender in governmental procurement is the selection of a general contractor based on a score or ranking evaluated by a committee. Due to personal, subjective preferences, the contractor selection of committee members may be different, causing cognitive difference between the results of the members’ selection and the preliminary opinions provided by the working group. Integrated, multi-criteria decision making techniques, combined with preference relation, Bayesian, fuzzy utility, and prospect theories are used to assess factors weighing up the duration/cost/quality, probability of external information, and utility function system. The paper proposes a Bayesian fuzzy prospect model for group decision making, based on probability and utility multiplied relation, and taking the sustainable development factors into consideration. This study aims to provide committees with an objective model to select the best contractor for public construction projects. The results of this study can avoid the lowest bidder being selected; besides, the score gap of contractor selection can be increased, and the difference between the top three contractors’ scores can be decreased as well. In addition to proposing an innovative decision-making system of contractor selection and an index weight-assessing system for sustainable development, this model will be widely applied and sustainably updated for other cases.


2020 ◽  
Vol 39 (5) ◽  
pp. 6109-6119
Author(s):  
Lazim Abdullah ◽  
Siti Nuraini Rahim

Recently, researchers have shown an increased interest in integrating the neutrosophic sets with multi-criteria decision making (MCDM) methods. Previous literature have suggested the integration of neutrosophic set with the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method, in which the three memberships of neutrosophic set are utilized to solve problems that are characterized by non-deterministic information. Differently from the neutrosophic DEMATEL, which directly used three independent memberships, this paper proposes bipolar neutrosophic DEMATEL (Bipolar NS-DEMATEL) of which the positive and negative of truth, indeterminate and false memberships of bipolar neutrosophic set are introduced to enhance decision in urban sustainable development. Three criteria and fifteen sub-criteria of urban sustainable development are the main MCDM structures that need to be solved using the proposed method. A group of experts were invited to provide rating of performance values of sub-criteria of urban sustainable development problem using a bipolar neutrosophic linguistic scale. The proposed Bipolar NS-DEMATEL is applied to segregate the sub-criteria of urban sustainable development into cause and effect groups. In addition, the network relation map is drawn to observe the interaction among the sub-criteria. The Bipolar NS-DEMATEL suggests that air quality (SC12) is the most important sub-criteria in managing urban sustainable development. The result also unveils that the sub-criterion safety (SC21) is impacted and influenced by other sub-criteria. The identification of sub-criteria in accordance with their net causer and net receiver would help the authority in prioritizing sub-criteria that may directly be affected by urban development.


2020 ◽  
Vol 14 (4) ◽  
pp. 524-530
Author(s):  
Fisnik Osmani ◽  
Atanas Kochov ◽  
Betim Shabani ◽  
Mirjeta Ilazi

Sustainable Development and Decision Making are just two of the many processes that affect the industry sector. SDG7, SDG8, SDG9 and SDG 12 as four goals of sustainable development show the indicators we have to deal with, given that the energy, industry, economy and production are closely connected. This research focuses on promoting sustainable development in the industry, by testing very important indicators using the MCDM method. Our analysis was carried out with the help of a multi-criteria decision-making method - the Hierarchical Analytical Process. Through this method, we have identified specific areas that need improvement, the importance of the indicators separately, ranking so by their importance and impact in the industry, economy and production.


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