International Journal of Production Management and Engineering - Vol 04, No 1 (2016)
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Tabla de contenidos
Editorial
- Understanding Organisational Engineering.
Papers
- A Cloud Platform to support Collaboration in Supply Networks
- Cost modelling as decision support when locating manufacturing facilities
- Methods of sociological diagnostics in the assessment of staff's competencies: a case of a state museum (St. Petersburg, Russia)
- Social network analysis and supply chain management
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- PublicationUnderstanding Organisational Engineering(Universitat Politècnica de València, 2016-01-15) Ortiz Bas, Ángel; Departamento de Organización de Empresas; Centro de Investigación en Gestión e Ingeniería de Producción; Escuela Técnica Superior de Ingeniería Industrial[EN] This paper analyses the concept of organisational engineering by stressing the main functions or phases to be developed and linking them with enperprise management but also emphasizing the differences. The paper also states that organisational engineering is well-founded and robust discipline.
- PublicationSocial network analysis and supply chain management(Universitat Politècnica de València, 2016-01-15) Rodríguez Rodríguez, Raúl; Leon, Ramona-Diana; Departamento de Organización de Empresas; Centro de Investigación en Gestión e Ingeniería de Producción; Escuela Técnica Superior de Ingeniería Industrial; Escuela Politécnica Superior de Gandia; European Commission[EN] This paper deals with social network analysis and how it could be integrated within supply chain management from a decision-making point of view. Even though the benefits of using social analysis have are widely accepted at both academic and industry/services context, there is still a lack of solid frameworks that allow decision-makers to connect the usage and obtained results of social network analysis – mainly both information and knowledge flows and derived results- with supply chain management objectives and goals. This paper gives an overview of social network analysis, the main social network analysis metrics, supply chain performance and, finally, it identifies how future frameworks could close the gap and link the results of social network analysis with the supply chain management decision-making processes.
- PublicationMethods of sociological diagnostics in the assessment of staff's competencies: a case of a state museum (St. Petersburg, Russia)(Universitat Politècnica de València, 2016-01-15) Usiaeva, Asiia; Rubtcova, Mariia; Pavlenkova, Irina; Petropavlovskaya, Svetlana[EN] The study is dedicated to research of methods of sociological diagnostics, which can be used in the assessment of staff's competencies. Theoretical framework of this survey is T. Parson’s structural functionalism, the approach that sees the society as a complex system. The research questions were how we can analyze competencies by using sociological diagnostics and what the features of sociological diagnostics are. In order to achieve the target, it was analyzed the assessment of staff's competencies in the museum complex “The Cathedral”, Saint-Petersburg, Russia. Methodology of the research was structured observation, data collected by using “Mystery shopper” method. As a result, it was showed which techniques were applied in the staff’s assessment in this museum. Besides, the researcher discovered the level of museum staff’s competencies and revealed that the least developed employees’ competence was communication with visitors.
- PublicationCost modelling as decision support when locating manufacturing facilities(Universitat Politècnica de València, 2016-01-15) Windmark, Christina; Andersson, Carin; Swedish Governmental Agency for Innovation Systems[EN] This paper presents a methodology for cost estimation in developing decision supports for production location issues. The purpose is to provide a structured work procedure to be used by practitioners to derive the knowledge needed to make informed decisions on where to locate production. This paper present a special focus on how to integrate cost effects during the decision process. The work procedure and cost models were developed in close collaboration with a group of industrial partners. The result is a structure of cost estimation tools aligned to different steps in the work procedure. The cost models can facilitate both cost estimation for manufacturing a product under new preconditions, including support costs, and cost simulations to analyse the risks of wrong estimations and uncertainties in the input parameters. Future research aims to test the methodology in ongoing transfer projects to further understand difficulties in managing global production systems. In existing models and methods presented in the literature, cost is usually estimated on a too aggregated level to be suitable for decision support regarding production system design. The cost estimation methodology presented here provides new insights on cost driving factors related to the production system.
- PublicationA Cloud Platform to support Collaboration in Supply Networks(Universitat Politècnica de València, 2016-01-15) Andrés Navarro, Beatriz; Sanchis, Raquel; Poler, Raul; Departamento de Organización de Empresas; Centro de Investigación en Gestión e Ingeniería de Producción; Escuela Politécnica Superior de Alcoy; European Commission[EN] Collaboration is a trend in supply networks management, based on the jointly planning, coordination and integration of processes, participating all network entities. Due to the current characteristics of uncertainty in the markets and economic crisis, there is a need to encourage collaboration tools to reduce costs and increase trust and accountability to market requirements. This study presents an overview of the research carried out in the H2020 European Project: Cloud Collaborative Manufacturing Networks (C2NET), which is directed towards the development a cloud platform that consist of, optimization tools, collaboration tools to support and agile management of the network. The collaborative cloud platform allows to collect real time information coming from real-world resources and considering all the actors involved in the process. The collaborative cloud provides real time data gathered from the entire network partners in order to improve their decision-making processes.