Framework for conformity assessment based on an analogy with the Uncertainty Principle of Quantum Mechanics (FCAUP)
Celso Francisco de Moraes and
Messias Borges Silva
International Journal of Production Economics, 2018, vol. 203, issue C, 394-403
Abstract:
This paper aims to introduce an innovative framework, named FCAUP, for planning and implementing conformity assessment based on a conceptual analogy with Heisenberg's Uncertainty Principle of Quantum Mechanics. Conformity assessment is a very important issue in many different areas, such as, operations and quality management, international trade, sustainable development, and so on. FCAUP means “Framework for Conformity Assessment inspired by the Uncertainty Principle”. This original procedure employs quantitative and qualitative techniques for analysis, classification, purposive sampling and execution of double inspections in order to reduce the uncertainty in conformity assessment activities. Its preliminary evaluation has been performed by means of three simulations regarding conformity assessments in manufacturing industries. Simulation results suggest that FCAUP is a consistent method to be used in several categories of conformity assessment.
Keywords: Conformity assessment; Framework; Uncertainty principle analogy; FCAUP (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0925527318302780
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:203:y:2018:i:c:p:394-403
DOI: 10.1016/j.ijpe.2018.07.013
Access Statistics for this article
International Journal of Production Economics is currently edited by Stefan Minner
More articles in International Journal of Production Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().