A multicriteria decision model for the selection of information system for a logistics company using MMASSI/TI

The aim of this work is to apply a methodology of decision support based on a multi-criteria decision analyses (MCDA), model that allows the evaluation and selection of an information system in a Logistics context. We carried out a literature review on supply chain management, logistics and decision theory to support all the practical work. A multi-criteria methodology for decision making support – Multi-criteria Methodology for the Assessment and Selection of Information Systems / Information Technologies (MMASSI / IT) based on logistics processes was applied during the MCDA, supported by a computer application. The ranking of the information systems best suited the decisional context was obtained and its sensitivity and robustness analyses performed.info:eu-repo/semantics/publishedVersio

A MCDA model for olive oil supplier selection using Macbeth

This work proposes a multi-criteria decision-making approach to select suppliers in the olive oil sector. Besides several performance criteria required to the supplier, olive oil characteristics such as colour, smell, and density, as well as organoleptic tests are used. Hence, the assessment and selection of suppliers assumes a major importance and needs to be done yearly. The process of finding a set of suppliers to choose from involves two sequential stages, namely identification and elimination. The identification stage consists of finding a set of potential suppliers. Then, in the elimination stage, suppliers that are not able to meet the thresholds associated with some technical indicators are disregarded. Thus, only a small set of very promising suppliers need to be assessed. The assessment was performed by resorting to the Macbeth approach, resulting in a ranking. The results obtained were validated through sensitivity and robustness analyses.info:eu-repo/semantics/publishedVersio

Operations capability, productivity and business performance: the moderating effect of environmental dynamism

Purpose – The purpose of this study is to investigate the relationships between operations capability, productivity and business performance in the context of environmental dynamism. Design/methodology/approach – A proposed conceptual framework grounded in the resourcebased view (RBV) and dynamic capability view (DCV) is analysed using archival data from 193 automakers in the UK. Findings – The results show that operations capability, as an important dynamic capability, has a significant positive effect on productivity, which in turn leads to improved business performance. The results also suggest that productivity fully mediates the relationship between operations capability and business performance, and that environmental dynamism significantly moderates the relationship between operations capability and productivity. Practical implications – The research findings provide practical insights that will help managers develop operations capability to gain greater productivity and business performance in a dynamic environment

Water Absorption Process Parametric Selection For Natural Composites Using The PROMETHEE Method And Analytical Hierarchy Process For Objective Weights For Ship’s Hull Application

The purpose of this study is to establish the importance of parameters in a water absorption process for natural particulate composite for ship’s hull applications. To attain useful and reliable outcomes, the subjective evaluation of the assessor and weights of inputs are combined in a PROMETHEE and analytical hierarchy process (AHP) approach. The PROMETHEE serves the goal of ranking while the AHP is deployed to establish the objective weighing. It was found that time is the heading parameter for the natural particulate thermoset composite solutions, compared with thickness and length. By integrating PROMETHEE and AHP, it was proved that this approach offers a higher level of confidence to composite developers than initiative practices that currently dominate choices of parameters. It is particularly useful for natural particulate water absorption parametric selection since it is an innovative and scientific choice approach involving multicriteria analysis

Multicriteria Methodology for Selection of a Personal Electric Vehicle

A methodology that can support the decision process for selecting an Electric Vehicle (EV) is crucial. Considering the quantity, diversity, and complexity of existing EV models, their advantages and disadvantages, and people's increasing concern for sustainability, selecting and buying a personal EV appropriate to one's needs and requirements is not a simple task. Currently, criteria such as price, consumption per 100 km, range, comfort, brand, safety, and technology can be used to analyse available EV models. In this context, the decision-making process can be supported by the Multicriteria Decision Analysis (MCDA), “a method that clearly structures and evaluates complex problems with several alternatives, conflicting criteria, and complex scenarios. The novelty of this paper is to present a hybrid MCDA approach, combining two powerful methods (AHP and PROMETHEE) into a single framework to assist EV selection by any given person who has no multicriteria knowledge. A survey was conducted to define relevant criteria for a private person selecting an EV. The approach was validated for EV selection, considering the available offer within a target value, based solely on available public data, and excluding qualitative criteria. The paper discusses a case study whereby the proposed approach, using both quantitative and qualitative criteria, assists a decision-maker in selecting an EV from a set of alternatives, validated by the decision-maker, proving the importance and relevance of supporting the decision-making process

Evaluating vehicle painting plans in an automobile assembly plant using an integrated AHP-PROMETHEE approach

The painting activity is one of the most complex and important activities in automobile manufacturing. The inherent complexity of the painting activity and the frequent need for repainting usually turn the painting process into a bottleneck in automobile assembly plants, which is reflected in higher operating costs and longer overall cycle times. One possible approach for optimizing the performance of the paint shop is to improve the efficiency of the color planning. This can be accomplished by evaluating the relative merits of a set of vehicle painting plans. Since this problem has a multicriteria nature, we resort to the multicriteria decision analysis (MCDA) methodology to tackle it. A recent trend in the MCDA field is the development of hybrid approaches that are used to achieve operational synergies between different methods. Here we apply, for the first time, an integrated approach that combines the strengths of the analytic hierarchy process (AHP) and the Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE), aided by Geometrical Analysis for Interactive Aid (GAIA), to the problem of assessing alternative vehicle painting plans. The management of the assembly plant found the results of value and is currently using them in order to schedule the painting activities such that an enhancement of the operational efficiency of the paint shop is obtained. This efficiency gain has allowed the management to bid for a new automobile model to be assembled at this specific plant

Evaluating vehicle painting plans in an automobile assembly plant using an integrated AHP-PROMETHEE approach

The painting activity is one of the most complex and important activities in automobile manufacturing. The inherent complexity of the painting activity and the frequent need for repainting usually turn the painting process into a bottleneck in automobile assembly plants, which is reflected in higher operating costs and longer overall cycle times. One possible approach for optimizing the performance of the paint shop is to improve the efficiency of the color planning. This can be accomplished by evaluating the relative merits of a set of vehicle painting plans. Since this problem has a multicriteria nature, we resort to the multicriteria decision analysis (MCDA) methodology to tackle it. A recent trend in the MCDA field is the development of hybrid approaches that are used to achieve operational synergies between different methods. Here we apply, for the first time, an integrated approach that combines the strengths of the analytic hierarchy process (AHP) and the Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE), aided by Geometrical Analysis for Interactive Aid (GAIA), to the problem of assessing alternative vehicle painting plans. The management of the assembly plant found the results of value and is currently using them in order to schedule the painting activities such that an enhancement of the operational efficiency of the paint shop is obtained. This efficiency gain has allowed the management to bid for a new automobile model to be assembled at this specific plant.info:eu-repo/semantics/publishedVersio

Análise e qualificação de fornecedores de serviços de transporte internacional

Dissertação de mestrado em Engenharia IndustrialNuma época em que as empresas concorrem cada vez mais entre si para obter vantagem competitiva num mercado muito competitivo, onde as margens de lucro estão cada vez mais reduzidas, a escolha do fornecedor que cumpra as cada vez maiores exigências do mercado torna-se um assunto premente. Consciente disso, a empresa Garland, que opera no mercado logístico nacional e internacional, decidiu estudar uma forma de avaliação e seleção de fornecedores para o setor de transporte rodoviário internacional por forma a agilizar o seu processo de seleção de fornecedores. Neste estudo, foi pedido, pela Garland, uma forma de selecionar fornecedores, onde os critérios a ter em conta deveriam abranger várias componentes relevantes para a mesma, desde fatores humanos, a fatores técnicos e funcionais da empresa a ser avaliada. Sendo que nem todos os critérios têm o mesmo peso, uns são quantitativos e outros qualitativos, foi necessário a utilização de um método que se adequasse a esta problemática. Neste contexto, a utilização de métodos de análise multicritério são frequentes. Existem vários métodos multicritério, sendo que um dos mais amplamente utilizados para a problemática da escolha e avaliação dos critérios de seleção de fornecedores tem sido o método AHP e suas variantes, devido à existência de software de implementação e facilidade de compreensão. No entanto, têm sido apontadas na literatura algumas fragilidades a este método, nomeadamente problemas de compensação, de consistência, entre outros. Assim, tem tido apresentada a sua utilização conjugada com outros métodos para ultrapassar algumas das fragilidades apontadas, nomeadamente com o método PROMETHEE. Para a fase de estruturação do problema, definição de critérios e respetivos pesos, e das alternativas foi usado o método AHP e para avaliação das alternativas, os fornecedores, em cada um dos critérios e sua agregação foi usado o método PROMETHEE. A escolha dos critérios relevantes de avaliação foi realizada através da recolha inicial de informação, incluindo reuniões com os variados elementos intervenientes na empresa e recolha de preferências dos critérios dos elementos decisórios da Garland, tendo daí resultado a quantificação do peso de cada um dos critérios. O conjunto de critérios, bem como os seus pesos, calculados pelo método AHP, foram utilizados usando o método PROMETHEE, onde foram avaliados os fornecedores e criado um ranking dos mesmos. O modelo híbrido proposto foi testado para uma rota usual previamente estabelecida, com cinco fornecedores habituais. O uso combinado destas duas metodologias distintas, nas diferentes fases do modelo multicritério, permitiu, de forma explícita, a implementação do modelo. Os resultados do ranking final foram validados pela análise de sensibilidade dos critérios.At a time where companies compete with each other to obtain competitive advantage, in a very competitive market, where the profit margins are shrinking, the supplier choice that meets, the ever increasing market demands, becomes an urgent matter. Aware of that Garland, which operates in logistics market, decided to study a supplier evaluation and selection for the international road transport sector, in order to speed up its supplier selection process. In this study, Garland asked a way to select suppliers, where the criteria to be considered should cover several relevant components, from human factors, to technical and functional factors of the company to be evaluated. Since not all criteria have the same weight, some are quantitative and some qualitative, it was necessary to use a method that would fit this problem. In this context, the use of multicriteria analysis methods are frequent. There are several multicriteria methods, being one of the most widely used for the problem of choice and evaluation of supplier selection criteria has been the AHP method and its variants, due to the existence of implementation software and ease of understanding. However, some weaknesses to this method have been pointed out in the literature, namely compensation, consistency problems, among others. Thus, its use has been presented in conjunction with other methods to overcome some of the weaknesses pointed out, namely with the PROMETHEE method. For the structuring phase of the problem, definition of criteria and their weights, and the alternatives was used the AHP method and for evaluation of the alternatives, the suppliers, in each of the criteria and its aggregation was used the PROMETHEE method. The choice of the relevant evaluation criteria was carried out through the initial collection of information, following a meeting with the various stakeholders of the company, following the collection of preferences from Garland's decision-making criteria, resulting in the quantification of the weight of each of the criteria. The set of criteria, as well as their weights, calculated by the AHP method, were used using the PROMETHEE method, where suppliers were evaluated and created a ranking of them. The proposed hybrid model was tested for a previously established usual route with five usual suppliers. The combined use of these two distinct methodologies, in the different phases of the multicriteria model, explicitly allowed the implementation of the model. The results of the final ranking were validated by the sensitivity analysis of the criteria

Supplier evaluation and selection in fuzzy environments: a review of MADM approaches

In past years, the multi-attribute decision-making (MADM) approaches have been extensively applied by researchers to the supplier evaluation and selection problem. Many of these studies were performed in an uncertain environment described by fuzzy sets. This study provides a review of applications of MADM approaches for evaluation and selection of suppliers in a fuzzy environment. To this aim, a total of 339 publications were examined, including papers in peer-reviewed journals and reputable conferences and also some book chapters over the period of 2001 to 2016. These publications were extracted from many online databases and classified in some categories and subcategories according to the MADM approaches, and then they were analysed based on the frequency of approaches, number of citations, year of publication, country of origin and publishing journals. The results of this study show that the AHP and TOPSIS methods are the most popular approaches. Moreover, China and Taiwan are the top countries in terms of number of publications and number of citations, respectively. The top three journals with highest number of publications were: Expert Systems with Applications, International Journal of Production Research and The International Journal of Advanced Manufacturing Technology