15,781 research outputs found
DSS for selection and evaluation of information system in SMEs
In the agri-food sector the SMEs demand more efficiences in marketing, logistics, production planning and controlling, bookkeeping and information services. For these tasks they need correct information in any time and anywhere. The best solution can be an integrated information system, an ERP system. The tendency is that these types of organization introduce ERP system successfully. It can give a flexible solution, enabling us to meet and exceed our business requirements. The introduction of a computerized information system, similarly to any other investment requires pre- and post calculations for the economic efficiency, repayment and efficacy of the fixed assets and if possible for its profitability as well. In small enterprises human resources are restricted. For this reason project analyse are neglected in most of the cases. The SMEs and ERP dealer need tools for selecting the right system and evaluate the investment
A problem based / experiential learning approach to teaching maintenance engineering
Good maintenance practice lies at the heart of a manufacturing industry being able to retain its
production capabilities and to ensure the integrity of increasingly complex systems. Consequences of system failure can exceed mere monetary penalties to include the well being of staff. From an engineering education perspective, rapid development in technology in
parallel with the evolution of traditional engineering disciplines, necessitates the utilization of
innovative ways to teach non-traditional or interdisciplinary topics like maintenance. Another
challenge in this context, is the ability to allocate time and physical resources in ever more condensed engineering curricula whilst making the learning process engaging for students.
This paper details a recent trial to teach a short undergraduate course on maintenance within a
mechanical engineering degree where students also look at some safety considerations associated with maintenance practice. A combined Problem Based Learning/Experiential
Learning approach applied to machine tool maintenance was adopted using resources readily available in most engineering schools
Task analysis for error identification: Theory, method and validation
This paper presents the underlying theory of Task Analysis for Error Identification. The aim is to illustrate the development of a method that has been proposed for the evaluation of prototypical designs from the perspective of predicting human error. The paper presents the method applied to representative examples. The methodology is considered in terms of the various validation studies that have been conducted, and is discussed in the light of a specific case study
Health and social care workforce planning and development â an overview
Purpose
- The purpose of this paper is to discuss the issues relating to getting the right health and social care staff with the right skills in the right place at the right time and at the right price.
Design/methodology/approach
- Key points arising from several master-classes with health and social care managers, supported by a literature review, generated remarkable insights into health and social care workforce planning and development (WP & D).
Findings
- Flawed methods and overwhelming data are major barriers to health and social care WP & D. Inefficient and ineffective WP & D policy and practice, therefore, may lead to inappropriate care teams, which in turn lead to sub-optimal and costly health and social care. Increasing health and social care demand and service re-design, as the population grows and ages, and services move from hospital to community, means that workforce planners face several challenges. Issues that drive and restrain their health and social care WP & D efforts are lucid and compelling, which leave planners in no doubt what is expected if they are to succeed and health and social care is to develop. One main barrier they face is that although WP & D definitions and models in the literature are logical, clear and effective, they are imperfect, so planners do not always have comprehensive tools or data to help them determine the ideal workforce. They face other barriers. First, WP & D can be fragmented and uni-disciplinary when modern health and social care is integrating. Second, recruitment and retention problems can easily stymie planners' best endeavours because the people that services need (i.e. staff with the right skills), even if they exist, are not evenly distributed throughout the country.
Practical implications
- This paper underlines triangulated workforce demand and supply methods (described in the paper), which help planners to equalise workloads among disparate groups and isolated practitioners - an important job satisfaction and staff retention issue. Regular and systematic workforce reviews help planners to justify their staffing establishments; it seems vital, therefore, that they have robust methods and supporting data at their fingertips
A framework and tool to manage Cloud Computing service quality
Cloud Computing has generated considerable interest in both companies specialized
in Information and Communication Technology and business context in general.
The Sourcing Capability Maturity Model for service (e-SCM) is a capability model for
offshore outsourcing services between clients and providers that offers appropriate strategies
to enhance Cloud Computing implementation. It intends to achieve the required
quality of service and develop an effective working relationship between clients and
providers. Moreover, quality evaluation framework is a framework to control the quality of
any product and/or process. It offers a tool support that can generate software artifacts to
manage any type of product and service efficiently and effectively. Thus, the aim of this
paper was to make this framework and tool support available to manage Cloud Computing
service quality between clients and providers by means of e-SCM.Ministerio de Ciencia e InnovaciĂłn TIN2013-46928-C3-3-RJunta de AndalucĂa TIC-578
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