scholarly journals Multicriteria Analysis of Alternative Marine Fuels in Sustainable Coastal Marine Traffic

2021 ◽  
Vol 11 (6) ◽  
pp. 2600
Author(s):  
Nikola Mandić ◽  
Helena Ukić Boljat ◽  
Toni Kekez ◽  
Lidija Runko Luttenberger
Keyword(s):  
Electric Propulsion ◽  
Selection Process ◽  
Multicriteria Analysis ◽  
Decision Support Tool ◽  
Marine Fuel ◽  
Marine Transportation ◽  
Support Tool ◽  
Fuel Selection ◽  
Coastal Marine ◽  
Marine Traffic

Marine transportation is considered to be one of the most important aspects of global transportation services. Due to the increase in marine transportation, there are significant impacts on the marine environment. One of the possible measures for mitigation of the environmental impact could be switching to environmentally friendly fuel. However, the alternative fuel selection process is considered to be a problem due to various criteria to be considered and stakeholders that should be involved in the selection process. The aim of this paper is to demonstrate the application of multicriteria analysis as a decision-support tool for the alternative marine fuel selection problem in coastal marine traffic. The suggested methodology takes into account environmental, technological, and economic aspects, and ensures the participation of different stakeholders in the selection process. The priority ranking of the alternatives is based on a combination of the Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW). The implementation of this method considers the involvement of relevant stakeholders through evaluation of the criteria weights and performance of each alternative with respect to each criterion. The method is applied for the case study of Croatia, where the results demonstrated that the best alternative for all stakeholders is electric propulsion, even though there are differences in opinions and perceptions with respect to the objectives and criteria. The findings of this analysis, likely the first of this type in this area, can serve as a solid basis for strategic planning.

Utilizing analytic hierarchy process for improved decision making within supply chains

2008 ◽  
Vol 27 (1) ◽  
pp. 49-62
Author(s):  
Sameer Kumar ◽  
John Bisson
Keyword(s):  
Analytic Hierarchy Process ◽  
Global Economy ◽  
Supplier Selection ◽  
Selection Process ◽  
Decision Support Tool ◽  
Data Availability ◽  
Analytic Hierarchy ◽  
Support Tool ◽  
Device Manufacturer ◽  
Hierarchy Process

With a growing global economy and competition and increased outsourcing, the supplier selection process has gained more focus and importance within many business enterprises for developing an integrated supply network. Analytic Hierarchy Process (AHP) has been identified as an ideal multi-objective decision support tool to assist firms in completing the supplier selection process as part of strengthening their procurement strategies. This paper involved secondary research methods to gain an understanding of AHP, its various applications, and exploration of how to incorporate non-traditional selection criteria such as environmental criterion into the process. AHP's application for optimal supplier selection to support integrated procurement process is illustrated through an example of a Medical Device Manufacturer (MDM), known for established supplier-customer partnerships and alliances. Major limitation in studying this example included data availability to complete a comprehensive AHP decision management model. However, it was found that AHP is a powerful, structured but flexible method of addressing the multi-criteria supplier selection decision that facilitates building an integrated supply chain.

scholarly journals Urban rent control: a decision support tool for the optimal resources allocation between urban forest projects

2020 ◽  
Vol 27 ◽  
pp. 77-90
Author(s):  
Maria Rosaria Guarini ◽  
Antonio Nesticò ◽  
Pierluigi Morano ◽  
Francesco Sica
Keyword(s):  
Urban Areas ◽  
Urban Forest ◽  
Urban Forestry ◽  
Multicriteria Analysis ◽  
Decision Support Tool ◽  
Quality Level ◽  
Rent Control ◽  
City Development ◽  
Support Tool ◽  
The One

Green areas in urban agglomerations are strategic resource for the sustainable city development. The implementation of Urban Forestry Projects (UFP) allows on the one hand to raise the environmental quality level, improving the microclimate and preserving biodiversity, on the other hand to promote urban regeneration and promote socio-economic development by creating eco-systemic s er vices for the population. The result is a more rational land use and an increase in real estate values. Although the EU Directives show the need to promote the sustainable territory growth through the recover y and redevelopment of the built environment, the implementation of investments based on eco-system logic is rarely counted as a priority action for the city, often preferring a different allocation of available resources. The present work aims first to define an indicators set useful to express the value components – financial, social, cultural and ecological- environmental – for the UFP. These indicator s are the reference terms for the characterization of an innovative protocol of multicriteria analysis for the public operator who wants to establish the optimal distribution of funds between UFP units in limited areas of the urban fabric. The protocol uses the algorithms of mathematical programming and is tested on a case study about urban areas to be redeveloped.

An Integrated Choice Model for the Evaluation of Urban Sustainable Renewal Scenarios

2014 ◽  
Vol 1030-1032 ◽  
pp. 2399-2406 ◽  
Author(s):  
Vincenzo del Giudice ◽  
Pierfrancesco de Paola ◽  
Francesca Torrieri
Keyword(s):  
Choice Model ◽  
Multicriteria Analysis ◽  
Decision Support Tool ◽  
Complex Problem ◽  
Real Estate Market ◽  
Support Tool ◽  
South Italy ◽  
Uncertain Factor ◽  
Alternative Scenarios ◽  
The City

The need for renewal of disused urban area is widespread in many context of south Italy where the lack of public funds make difficult the management and maintenance of sites that often have considerable historical and architecture values.The choice of functions that can represent elements of attraction for the economic and social regeneration of these disused sites is a complex problem, given the multiplicity of interests involved and the uncertain factor determined by the non-typical conditions of real estate market, both from the demand and the supply side.In the present paper we propose to implement a choice model, based on the integration of multicriteria analysis and random utility model (referred to McFadden theory), able to support a participatory decision process of selecting alternative scenarios of requalification of an urban disused area located in a small village near the city of Naples, in the south of Italy.The positive results obtained show that the model proposed can be a useful decision support tool in environments characterized by high complexity, where the objective is precisely to highlight the elements that influence the dynamics of choice for building shared “bottom up” development strategies.

scholarly journals A Decision Support Tool for Supplier Evaluation and Selection

2021 ◽  
Vol 13 (22) ◽  
pp. 12387
Author(s):  
Ana Paula Lopes ◽  
Nuria Rodriguez-Lopez
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Decision Support Tool ◽  
Poor Quality ◽  
Preference Ranking ◽  
Supplier Evaluation ◽  
Support Tool ◽  
Strong Point

The supplier selection process is considered one of the most relevant decisions in supply chain management due to its effect on the product quality and on buyer performance. Supplier selection is often unstructured, and is generally based on the lowest-price proposal. However, this type of selection involves a high risk, sometimes resulting in project delays, poor quality of acquired goods, and large financial losses. Price is undoubtedly an important criterion when choosing a supplier; however, other equally important criteria must be considered. Therefore, supplier selection should be formulated as a multi-criteria decision-making (MCDM) problem. This study uses the PROMETHEE-GAIA (Preference Ranking Organization Method for Enrichment of Evaluations—Geometrical Analysis for Interactive Assistance) method to classify and select suppliers in an agrifood company. One of the advantages of this method is that it allows decision-makers to set their preferences considering all the relevant criteria simultaneously, and their relative importance. The case study demonstrates that PROMETHEE constitutes a flexible MCDM tool for supplier evaluation and selection, rank the different alternatives, and provide valuable insights. The results show that the supplier selection process has a strong point related to the existence of two groups of suppliers, one focused on economic criteria and other related to the innovative capacity. However, a flaw emerges, as little relevance is associated to the environmental criterion.

scholarly journals Analysis and modelling of territorial vulnerability to epidemiological diseases in the Wilaya of Batna (Algeria) – case of tuberculosis

2021 ◽  
Vol 4 ◽  
pp. 31-45
Author(s):  
Douha Asma ◽  
◽  
Kalla Mahdi ◽  
Keyword(s):  
Spatial Distribution ◽  
Multicriteria Analysis ◽  
Decision Support Tool ◽  
Decision Makers ◽  
Standard Of Living ◽  
Support Tool ◽  
Number Of Factors ◽  
Economic Reality ◽  
The Relationship ◽  
National Control

Some epidemiological situations, because of their magnitude and their propagation dynamics, can escape local or national control. For example, the world is currently experiencing an uncontrollable cross-border spread of the corona virus (Covid-19). The Wilaya of Batna is among the most affected in Algeria by many epidemiological diseases, including tuberculosis, which raises questions about possible causal links between this contagious and often fatal disease and the environmental and socio-economic reality of this territory. We based our study on a number of factors, covering economic, societal and health aspects, which constitute indicators of the standard of living in each of the 61 communes of the Wilaya of Batna. The relationship between the epidemiological status of tuberculosis in these communes and these indicators showed significant correlations and thus confirmed the reliability of the choice of parameters of vulnerability to tuberculosis. To understand their interaction and impact on the disease and its spatial distribution, we used the hierarchical multicriteria analysis (AHP) method, the results of which were implemented in a GIS database. The aim was to provide health and territorial decision makers with a decision support tool. The results show that the spatial distribution of tuberculosis cases which reappeared in the Wilaya of Batna after its eradication since years is in good correlation with the socio-economic situation of each commune of the territory and confirm that this scourge of tuberculosis is closely linked to the degradation of the living conditions of the inhabitants.

Decision Support Tools for Selection of External Protective Coating for Pipelines

2017 ◽  
Author(s):  
S. Yasseri ◽  
H. Bahai ◽  
M. T. Rahmati
Keyword(s):  
Decision Support ◽  
High Performance ◽  
Selection Process ◽  
Decision Support Tool ◽  
Cost Effective ◽  
Single Type ◽  
Support Tool ◽  
Support Tools ◽  
Good Coating ◽  
Selection Of

A good coating is one with high performance and durability; has a low surveillance and maintenance requirement; is easily applied with no health risks and finally is cost effective. It is unlikely that a single type of coating would be able to satisfy all these needs. Thus, a decision support tool is needed to help identify the most appropriate choice. This paper presents three simple methods for this selection process, and allows the judgment of more than one expert to be aggregated in order to reach a consensus. An example is presented which demonstrates the application of these methods, by providing the decision-maker the ability to weigh options and set priorities in deciding on the best compromise solution for a corrosion coating material.

Decision Support from Genetic Algorithms for Ship Collision Avoidance Route Planning and Alerts

2009 ◽  
Vol 63 (1) ◽  
pp. 167-182 ◽  
Author(s):  
Ming-Cheng Tsou ◽  
Sheng-Long Kao ◽  
Chien-Min Su
Keyword(s):  
Decision Support ◽  
Collision Avoidance ◽  
Biological Evolution ◽  
Route Planning ◽  
Decision Support Tool ◽  
Support Tool ◽  
Marine Traffic ◽  
International Regulations ◽  
Restoration Time ◽  
Advance Notice

When an officer of the watch (OOW) faces complicated marine traffic, a suitable decision support tool could be employed in support of collision avoidance decisions, to reduce the burden and greatly improve the safety of marine traffic. Decisions on routes to avoid collisions could also consider economy as well as safety. Through simulating the biological evolution model, this research adopts the genetic algorithm used in artificial intelligence to find a theoretically safety-critical recommendation for the shortest route of collision avoidance from an economic viewpoint, combining the international regulations for preventing collisions at sea (COLREGS) and the safety domain of a ship. Based on this recommendation, an optimal safe avoidance turning angle, navigation restoration time and navigational restoration angle will also be provided. A Geographic Information System (GIS) will be used as the platform for display and operation. In order to achieve advance notice of alerts and due preparation for collision avoidance, a Vessel Traffic Services (VTS) operator and the OOW can use this system as a reference to assess collision avoidance at present location.

A HYBRID FUZZY-PROMETHEE METHOD FOR LOGISTICS SERVICE SELECTION: DESIGN OF A DECISION SUPPORT TOOL

2010 ◽  
Vol 18 (04) ◽  
pp. 345-369 ◽  
Author(s):  
DAVIDE ALOINI ◽  
RICCARDO DULMIN ◽  
VALERIA MININNO
Keyword(s):  
Service Providers ◽  
Selection Process ◽  
Service Selection ◽  
Decision Support Tool ◽  
Automated System ◽  
Electronic Market ◽  
Support Tool ◽  
Logistics Service ◽  
Carrier Selection ◽  
Promethee Method

Among the traditional logistics services, transportation is one of the most commonly outsourced activities. Nevertheless the carrier selection process is critic presenting its own peculiarities which should be accurately managed. This paper presents a hybrid multi-criteria/fuzzy method for the selection of the carrier among a number of pre-selected logistics service providers. The method was developed and applied to the case of Power-One Inc., a multinational company in the Power-electronic market. Finally, an automated system supporting the decision making process was designed to support users.

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