Data Mining Practical Machine Learning Tools and Techniques

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A Break in the Clouds: Towards a Cloud Definition

* Starting from Need* Evolution of the Toyota Production System* Further Development* Genealogy of the Toyota Production System* The True Intention of the Ford System* Surviving the Low-Growth Period

Toyota production system : beyond large-scale production

Traditional engineering instruction is deductive, beginning with theories and progressing to the applications of those theories Alternative teaching approaches are more inductive Topics are introduced by presenting specific observations, case studies or problems, and theories are taught or the students are helped to discover them only after the need to know them has been established This study reviews several of the most commonly used inductive teaching methods, including inquiry learning, problem-based learning, project-based learning, case-based teaching, discovery learning, and just-in-time teaching The paper defines each method, highlights commonalities and specific differences, and reviews research on the effectiveness of the methods While the strength of the evidence varies from one method to another, inductive methods are consistently found to be at least equal to, and in general more effective than, traditional deductive methods for achieving a broad range of learning outcomes

Inductive Teaching and Learning Methods: Definitions, Comparisons, and Research Bases

Globalisation of supply chains makes their management and control more difficult. Blockchain technology, as a distributed digital ledger technology which ensures transparency, traceability, and sec...

Blockchain technology and its relationships to sustainable supply chain management

The resources and planning and limiting factors in the building industry sector are identified, the non conformities originated during the projects are listed, and the models used in this type of industry are evaluated, based on the concept of lean construction. The proposed model is directed to the reduction losses and to the optimization of productive processes. It allows an overall planning of different resources in order to minimize usual conflicts in this type of industry. The improvements derived from the model show the benefits of lean production management philosophies. The model was applied in a small company, as a case study, and has demonstrated to be flexible and to have adapting capabilities in the decision making.

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Modelo de Planificación Basado en Construcción Ajustada para Obras de Corta Duración

A major challenge for Information Systems design and management within healthcare units is the need to accommodate the complexity and changeability in terms of their clinical protocols, technology, business and administrative processes. Interoperability is the response to these demands but there are many ways to achieve an “interoperable” information system. In this paper we address the requirements of a healthcare interoperability framework to enhance enterprise architecture interoperability of healthcare organizations, while maintaining the organization’s technical and operational environments, and installed technology. The paper advocates the role of the Chief Information Officer (CIO) in dealing with challenges posed by the need to achieve healthcare interoperability at the different layers, and in developing and executing an interoperability strategy, which must be aligned with the health organization’s business, administrative and clinical processes.

Challenges for the Development of Interoperable Information Systems in Healthcare Organizations

Department of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran UNIDEMI, Department of Industrial and Mechanical Engineering, Faculty of Science and Technology, Universidade Nova de Lisboa, Lisbon, Lisboa, Portugal Correspondence Meysam Maleki, UNIDEMI, Department of Industrial and Mechanical Engineering, Faculty of Science and Technology, Universidade Nova de Lisboa, Lisbon 2829‐516, Lisboa, Portugal. Email: maleki@fct.unl.pt

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Solving MCDM problems based on combination of PACMAN and LINMAP

The ultimate goal of supply chains is to satisfy their end customers. To do so, they implement a set of practices along their chain in order to generate value for customers. Therefore, aligning supply chain practices with customer values is a core objective of supply chains. The current research employs Bayesian Networks (BNs) and Analytic Network Processes (ANPs) to integrate practices and customer values in a supply chain as well as quantifying their mutual correlations. In the first phase, it collects and analyzes data about six specific customer values; in the second phase, the importance of practices is evaluated by experts in the respective industry using ANPs; and in the final phase, the output of the two analyses meet in a BN to generate a model which is capable of quantifying their mutual correlations given the input data. In addition, the proposed approach can handle scenarios for identifying whether a specific customer value is preferred by the end customer and what practices should be implemen...

Integration of practices and customer values in a supply chain

Measure the performance of maintenance service and the influence of implemented practices in maintenance activities is essential to the success of companies. Maintenance managers deal with the complex tasks of find out the best maintenance performance indicators which can help them in achieve goals. In this chapter a new approach is introduced for maintenance Key Performance Indicators (KPIs) selection using the original ELECTRE I, which is a Multi Criteria Decision Making method. This chapter describes the methodology of the decision model and a case study to exemplify its use is presented. The proposed methodology determines a ranking of possible alternatives after its evaluations according important criteria. The proposed methodology that involves decision maker’s preference information makes the decision process more explicit, rational and efficient. Light to the results, this chapter proves that the new methodology is an effective tool to assist maintenance managers in accurate KPIs selection tasks in line with maintenance objectives and strategies.

Virgilio Cruz-Machado

Papers

Modelo de Planificación Basado en Construcción Ajustada para Obras de Corta Duración

Challenges for the Development of Interoperable Information Systems in Healthcare Organizations

Solving MCDM problems based on combination of PACMAN and LINMAP

Integration of practices and customer values in a supply chain

Decision Methodology for Maintenance KPI Selection: Based on ELECTRE I