Mengenal pasti tahap motivasi dan kecenderungan keusahawanan di kalangan pelajar semester akhir Ijazah Sarjana Muda Kejuruteraan Mekanikal : satu tinjauan di KUiTTHO

Keusahawanan merupakan bidang yang mencabar dan tidak ramai yang mahu menceburi bidang ini tenitaraa lulusan bidang kejnriiteraan. Mereka ini mempunyai elemen keusahawanan nntuk menjadi usahawan yang beijaya. Oleh itu, timbul persoalan mengapakah pelajar-pelajar ini kurang berminat dengan bidang keusahawanan?. Bersesuaian dengan pennasalahan tersebut, kajian ini dijalankan bertujuan untnk meninjau tahap motivasi bagi memberikan pendedalian dan menarik kecenderungan pelajar kejuruteraan terliadap bidang keusahawanan. Objektif kajian ini berdasarkan kepada beberapa aspek iaitn taliap pengetahuan keusahawanan, motivasi, kecenderungan terhadap bidang keusahawanan dan keperluan subjek atau elemen keusahawanan dalam jumsan kejuruteraan. Kajian yang telah dijalankan adalah kajian deskriptif berbentuk tinjauan yang menggunakan soal selidik sebagai instrumen untuk mendapatkan data. Dengan menggimakan persampelan rawak mudah, seramai 99 orang pelajar semester akhir ijazah Saijana Muda Kejuruteraan Mekanikal telah dipilih sebagai responden kajian. Instrumen kajian adalah soal selidik dan data-data yang diperolehi telah dianalisis menggimakan perisian Statistical Package For Social Science versi 11.0 untuk mendapatkan nilai min dan peratus. Hasil kajian mendapati bahawa pelajar-pelajai' ini mempunyai kecenderungan terhadap bidang keusahawanan dengan skor min keseluruhan 3.573 dan taliap motivasi keusahawanan yang tinggi dengan skor min keseluaihan 3.965 tetapi kekurangan pengetahuan dalam bidang keusahawanan dengan skor min 3.16. Oleh itu. adalah perlu elemen-elemen keusahawanan diterapkan ke dalam kuriknlum kursus kejuaiteraan

Multicriteria Fuzzy Analysis for a GIS-Based Management of Earthquake Scenarios

Objective of this article is the formulation andthe implementation of a decision-making model for theoptimal management of emergencies. It is based on theaccurate definition of possible scenarios resulting fromprediction and prevention strategies and explicitly takesinto account the subjectivity of the judgments of prefer-ence. To this end, a multicriteria decision model, basedon fuzzy logic, has been implemented in a user-friendlygeographical information system (GIS) platform so asto allow for the automation of choice processes betweenseveral alternatives for the spatial location of the investi-gated scenarios. In particular, we have analyzed the po-tentialities of the proposed approach in terms of seismicrisk reduction, simplifying the decision process leadingto the actions to be taken from directors and managers ofcoordination services. Due to the large number of vari-ables involved in the decision process, it has been pro-posed a particularly flexible and streamlined method inwhich the damage scenarios, based on the vulnerabilityof the territory, have represented the input data to de-rive a vector of weights to be assigned to different de-cision alternatives. As an application of the proposedapproach, the seismic damage scenario of a region of400 km2, hit by the 2009 earthquake in L’Aquila (Italy),has been analyzed

Agent and cyber-physical system based self-organizing and self-adaptive intelligent shopfloor

The increasing demand of customized production results in huge challenges to the traditional manufacturing systems. In order to allocate resources timely according to the production requirements and to reduce disturbances, a framework for the future intelligent shopfloor is proposed in this paper. The framework consists of three primary models, namely the model of smart machine agent, the self-organizing model, and the self-adaptive model. A cyber-physical system for manufacturing shopfloor based on the multiagent technology is developed to realize the above-mentioned function models. Gray relational analysis and the hierarchy conflict resolution methods were applied to achieve the self-organizing and self-adaptive capabilities, thereby improving the reconfigurability and responsiveness of the shopfloor. A prototype system is developed, which has the adequate flexibility and robustness to configure resources and to deal with disturbances effectively. This research provides a feasible method for designing an autonomous factory with exception-handling capabilities

Disaster Risk Assessment Developing a Perceived Comprehensive Disaster Risk Index: The Cases of Three Chilean Cities

A significant increase in the impacts caused by extreme events, of both natural and anthropogenic origin, has been observed in recent decades at a global scale. Chile is no exception to this dynamic. Hazards of various origins and their interactions with socioeconomic, urban, and demographic changes, combined with governance issues have led to a significant risk increase. An accurate assessment of this risk is a significantly complex problem and a holistic approach is required. To address this issue, a multi‐criteria decision model has been designed, using the analytic hierarchy process (AHP), which includes qualitative and quantitative variables. The model can be adapted to different contexts, generating a comparable metrics (commensurable) for different cities. The three cities analyzed in this study (Iquique, Puerto Montt, and Puerto Varas) show different levels of risks as a result of a synergic and dynamic combination of factors related not only with natural and physical conditions but also particularly with the variables related to social vulnerability and resilience capacity

FUZZY IN LEAN TO EVALUATE THE DECISION DEGREE

The research aims to structure hierarchically an approach about the importance in decision making processes in the organizational environment, facilitating the applicability of Lean principles. The proposal was carried out using the Fuzzy - Analytic Hierarchy Process (FAHP). We used the parity and individual matrices between three managers and nine supervisor’s experts in production through individual questionnaire application and focal group. The answers were collected through the categorical application, where the moderator role was conducted by the researchers themselves with six constructs and 33 subconstructs in three companies from different branches, having characteristics closely related in the manufacturing sector. As results about the companies’ operations and processes, the values that obtained the highest degree of importance were the management construct (23%); capacity (22%) and costs (20%). We conclude for Lean principles these three factors have a 65% impact degree on decisions.Keywords: FAHP. Lean. Manufacturing. Decision Making Processes. Production.RESUMOA pesquisa buscou estruturar hierarquicamente uma abordagem sobre a importância em processos decisórios no âmbito organizacional, facilitando a aplicabilidade dos princípios Lean. A proposta transcorreu com o auxílio analítico de Fuzzy – Analytic Hierarchy Process (FAHP). Desse modo, utilizou-se das matrizes paritárias e individuais entre três gestores e nove supervisores especialistas em produção utilizando técnicas de aplicação de questionário individual e grupo focal respectivamente. As respostas foram coletadas por meio da aplicação categórica, no qual o papel de moderador foi realizado pelos pesquisadores, com seis constructos e 33 subconstructos em três empresas de ramos diferentes, mas com características do setor manufatureiras fortemente relacionadas. Como respostas sobre as operações e processos das indústrias no âmbito atual, os valores que obtiveram maior grau de importância foram o constructo gestão (23%); capacidade (22%) e custos (20%). Conclui-se que, para princípios Lean, estes três fatores engajados impactam em um grau de 65% nas decisões.Palavras-chave: FAHP. Lean. Manufatureiras. Processos Decisórios. Produção