The paper aims to identify the individuals who influence the knowledge sharing processes from an internal social network and to forecast the future knowledge flows that may cross it. Exploratory research is employed, and a four-phase methodology is developed which combines a social network analysis with structural modeling. This is applied to the internal enterprise social network used by a British insurance company. The main results emphasize the most influential groups, their relationships, future knowledge flows, and the connection between the network's heterogeneity and structure, and employees' future knowledge sharing intention. These findings have both theoretical and practical implications. The theory is extended by proving that a social network analysis can be used as a tool for evaluating and predicting future knowledge flows. At the same time, a solution is offered to decision-makers so they will be able to: (i) identify the potential knowledge loss; (ii) determine leaders; (iii) establish who is going to act as a knowledge diffuser, by sharing what they know with their co-workers, and who is going to act as a knowledge repository, by focusing on acquiring increasingly more knowledge; (iv) identify the elements that influence employees' future knowledge sharing intention.

ElsevierGómez Gasquet, P.; Andrés Romano, C.; Lario Esteban, FC. (2012). An agent-based genetic algorithm for hybrid flowshops with sequence dependent setup times to minimise makespan. Expert Systems with Applications. 39 (9)

Abstract:Purpose: In the last years, there is an increasing interest in the manner that transversal competences (TC) are introduced in the curricula. Transversal competences are generic and relevant skills that students have to develop through the several stages of the educational degrees. This paper analyses TCs in the context of the learning process of undergraduate and postgraduate courses. The main aim of this paper is to propose a framework to improve results. The framework facilities the student's training and one of the important pieces is undoubtedly that he has constant feedback from his assessments that allowing to improve the learning. An applying in the analysis and problem solving competence in the context of Master Degree in Advanced Engineering Production, Logistics and Supply Chain at the UPV is carried out. Design/methodology/approach:The work is the result of several years of professional experience in the application of the concept of transversal competence in the UPV with undergraduate and graduate students. As a result of this work and various educational innovation projects, a team of experts has been created, which has been discussing some aspects relevant to the improvement of the teaching-learning process. One of these areas of work has been in relation to the integration of various proposals on the application and deployment of transversal competences. With respect to this work, a conceptual proposal is proposed that has subsequently been empirically validated through the analysis of the results of several groups of students in a degree. Findings:The main result that is offered in the work is a framework that allows identifying the elements that are part of the learning process in the area of transversal competences. Likewise, the different items that are part of the framework are linked to the student's life cycle, and a temporal scope is established for their deployment. Practical implications:One of the most noteworthy practical implications is that the proposed framework includes a tool that allows a clear measurement of the student's evolution throughout his / her formative life cycle. In this way the student has a more consistent and robust vision of his / her training and the academic directors of the titles can have a vision of the impact of the decisions on the learning processes. Originality/value:The analysis of transversal competences is usually presented in the context of a subject. In this paper we propose an approach to cross-curricular competences but in the scope of the student's complete life cycle. The consideration of the entire formative process as well as the identification of the relevant elements that are part of this process are the most original aspects of the work.

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Abstract:Purpose: This paper reviews current literature and contributes a set of findings that capture the current state-of-the-art of the topic of lot streaming in a flow-shop.Design/methodology/approach: A literature review to capture, classify and summarize the main body of knowledge on lot streaming in a flow-shop with makespan criteria and, translate this into a form that is readily accessible to researchers and practitioners in the more mainstream production scheduling community. Findings:The existing knowledge base is somewhat fragmented. This is a relatively unexplored topic within mainstream operations management research and one which could provide rich opportunities for further exploration.Originality/value: This paper sets out to review current literature, from an advanced production scheduling perspective, and contributes a set of findings that capture the current state-of-the-art of this topic.

This paper introduces an integrated modeling approach that has been used to design and implement the ColNet platform. ColNet is the result of creating an integrated system, supporting distributed business processes design and execution in a Collaborative Network (CN) belonging to an Open Ecosystem (VBE). The work has been carried out as a part of the FP7 REMPLANET European Project, which aims at providing methods and tools for better decision-making in non-hierarchical collaborative networks. The functional alignment of Open Service Ecosystems, Collaborative Networks and Services Entities lifecycles is adopted as main functional requirements for the platform design and implementation while, at the same time, they raise an integrated modeling need. Both constitute the underlying approach followed when designing and implementing ColNet and are briefly described here.

The theory of network coordination provides theoretical foundations to explain how companies can overcome organizational boundaries and constraints to jointly manage business processes across their selling chains. In particular, this work focuses on Collaborative Scheduling, a collaboration process whereby selling chain trading partners activate either on-line or off-line inter-firm coordination mechanisms to jointly plan production activities in order to deliver the final products to end customers each one of them, being the delivery date as close to the date desired as possible. The problem of collaborative scheduling is formally defined by means of a mathematical model. In the model, the defined objective function has the goal to minimize the total weighted tardiness of the package of products acquired by the clients to be delivered in a specific date. The delivery date of each Product-Package is conditioned by the latest date established by each supplier for each product that forms part of the same one. Besides, having different process times for each product and different penalties for each Product-Package, each supplier can offer a different mix of additional products with different due date. Due to the complexity of the problem a Genetic Algorithm has been the approach taken for its resolution. The GA elements and procedures are defined and the parameters are tuned. Although the major contribution of this work focuses on the algorithmic development of a proposal in the context of operations research that could help to solve the problem also is discussed the environment in which this occurs and that justifies our interest. In order to validate the proposed solutions diverse configurations are presented and the results obtained by means of the GA and some heuristics rules are compared.

Organisations are concerned about measuring the performance of the product/service they deliver to their customers. In all types of organisations, if a proper performance assessment is to be developed, it should be measured in different dimensions. At University, the new study programs include the development and assessment of transversal competences due to their importance in enhancing the abilities and improving the employability of students. The achievement of transversal competences can be assessed in different levels/stages; for example, the 1st and 2nd years of a Bachelor's degree; the 3rd and 4th years of a Bachelor's degree and at Master's level. The purpose of this paper is to integrate the research into performance management in organisations to develop an approach consisting of four components (a methodology, a solid and integrated performance management framework, graphical diagrams and quantitative techniques) to assess and manage the achievement of transversal competences through the different levels of study using a consolidated approach. The proposal uses the Analytic Network Process (ANP) to model dependences and feedback among the elements of the competences.