Now showing items 1-5 of 5
A fuzzy AHP-based simulation approach to concept evaluation in a NPD environment
(TAYLOR & FRANCIS INC, 325 CHESTNUT ST, SUITE 800, PHILADELPHIA, PA 19106 USA, 2005-09)
The evaluation process of conceptual design alternatives in a new product development environment is a critical point for companies who operate in fast-growing markets. Various methods exist that are able to successfully ...
A Fuzzy Risk Assessment Model for Hospital Information System Implementation
(Pergamon-Elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford Ox5 1Gb, England, 2012-01)
There is research which reveals negative effects of IT applications in the healthcare sector on both patients and staff. Therefore, methods are necessary to predict the risk of new healthcare information technology in order ...
A Hybrid Approach To Concept Selection Through Fuzzy Analytic Network Process
(Pergamon-Elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford Ox5 1Gb, England, 2009-02)
Evaluating conceptual design alternatives in a new product development (NPD) environment has been one of the most critical issues for many companies which try to survive in the fast-growing world markets. Therefore, most ...
An Integrated Approach To Evaluating Assembly-Line Design Alternatives With Equipment Selection
(Taylor & Francis Ltd, 4 Park Square, Milton Park, Abingdon Ox14 4Rn, Oxon, England, 2011)
The design and implementation of assembly-line systems have been critical issues for companies since the first assembly-line was started at the Ford Highland Plant in 1913. From that time onwards, most companies have met ...
An analytic network process-based approach to concept evaluation in a new product development environment
(TAYLOR & FRANCIS LTD, 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND, 2007-06)
Selecting the best product concept is one of the most critical tasks in a new product development (NPD) environment. Making decisions at this stage becomes very difficult due to imprecise and uncertain product requirements. ...