Thesis-2004-Ajaefobi.pdf (9.76 MB)
Human systems modelling in support of enhanced process realisation
thesis
posted on 2018-10-09, 13:54 authored by Joseph O. AjaefobiHuman resources are key assets of any business. However present approaches used by industry
to resource business processes do not readily facilitate reasoning and future prediction about the
suitability of assigned human resources and their organising structures. This lack probably
impacts significantly on the profitability, responsiveness and long-term competitiveness of
Manufacturing Enterprises (MEs). Hence this thesis develops the use of existing and new
Enterprise Modelling (EM) constructs, with a view to systemising matching of Human Systems
(HSs) to Business Processes (BPs).
Classical approaches to system design typically develop models of (a) requirements and (b)
candidate systems that have potential capabilities to effectively implement requirements.
Subsequently models of candidate systems are matched to requirements models, thereby
selecting a system that can realise expected outputs in a timely and effective manner.
Manufacturing enterprises deploy various forms of human and technical systems to accomplish
value adding activities. The term human system is used to qualify different types of people with
distinct competencies and performance capacities deployed to relate and interact in a structured
working environment for attainment of common objectives. [Continues.]
History
School
- Mechanical, Electrical and Manufacturing Engineering
Publisher
© J.O. AjaefobiPublisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2004Notes
A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.Language
- en