1,459,528 research outputs found
Measuring Process Modelling Success
Process-modelling has seen widespread acceptance, par ticularly on large IT-enabled Business Process Reengineering projects. It is applied, as a process design and management technique, across all life-cycle phases of a system. While there has been much research on aspects of process-modelling, little attention has focused on post-hoc evaluation of process-modelling success. This paper addresses this gap, and presents a process-modelling success measurement (PMS) framework, which includes the dimensions: process-model quality; model use; user satisfaction; and process modelling impact. Measurement items for each dimension are also suggested
Fine-grain process modelling
In this paper, we propose the use of fine-grain process
modelling as an aid to software development. We suggest
the use of two levels of granularity, one at the level of the
individual developer and another at the level of the
representation scheme used by that developer. The
advantages of modelling the software development process
at these two levels, we argue, include respectively: (1) the
production of models that better reflect actual
development processes because they are oriented towards
the actors who enact them, and (2) models that are
vehicles for providing guidance because they may be
expressed in terms of the actual representation schemes
employed by those actors. We suggest that our previously
published approach of using multiple “ViewPoints” to
model software development participants, the perspectives
that they hold, the representation schemes that they
deploy and the process models that they maintain, is one
way of supporting the fine-grain modelling we advocate.
We point to some simple, tool-based experiments we have
performed that support our proposition
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Hybrid process modelling within business process management projects
Business Process Management (BPM) is still an important research topic amongst both academics
and businesses. The recent recession has forced businesses to focus on cost control and efficiency
in order to better cope with the economic downturn. Many companies in this situation turn to BPM
software as a means of improving their efficiency and costs by reducing aspects of the business
such as process lead-times and material costs. In order to identify areas of the business and its
processes which require changing the business will most likely adopt a method of modelling their
business processes. Because of the large number of available techniques decision makers usually
struggle to decide the best approach. Recent literature has also pointed out that prevalent
modelling techniques are designed to serve one specific purpose and may not be capable of
modelling the whole picture. The key relationship between the information systems and the human
behaviour is one example of where existing techniques are biased towards opposite ends of the
scale. This paper proposes the use of a hybrid modelling notation composed of multiple existing
notations in order to bridge this. The hybrid notation was applied to a BPM project at a company
in the construction industry and a case study conducted with its users
The business process modelling ontology
In this paper we describe the Business Process Modelling Ontology (BPMO), which is part of an approach to modelling business processes at the semantic level, integrating knowledge about the organisational context, workflow activities and Semantic Web Services. We harness knowledge representation and reasoning techniques so that business process workflows can: be exposed and shared through semantic descriptions; refer to semantically annotated data and services; incorporate heterogeneous data though semantic mappings; and be queried using a reasoner or inference engine. In this paper we describe our approach and evaluate BPMO through a use case
The integrated use of enterprise and system dynamics modelling techniques in support of business decisions
Enterprise modelling techniques support business process re-engineering by capturing existing processes and based on perceived outputs, support the design of future process models capable of meeting enterprise requirements. System dynamics modelling tools on the other hand are used extensively for policy analysis and modelling aspects of dynamics which impact on businesses. In this paper, the use of enterprise and system dynamics modelling techniques has been integrated to facilitate qualitative and quantitative reasoning about the structures and behaviours of processes and resource systems used by a Manufacturing Enterprise during the production of composite
bearings. The case study testing reported has led to the specification of a new modelling methodology for analysing and managing dynamics and complexities in production systems. This methodology is based on a systematic transformation process, which synergises the use
of a selection of public domain enterprise modelling, causal loop and continuous simulationmodelling techniques. The success of the modelling process defined relies on the creation of useful CIMOSA process models which are then converted to causal loops. The causal loop models are
then structured and translated to equivalent dynamic simulation models using the proprietary continuous simulation modelling tool iThink
Modelling of the dip-coating process
Dipcoating, wherein an object is withdrawn from a liquid bath, retaining a thin layer of liquid which then dries, is perhaps the simplest of coating techniques. SOLA Optical asked the MISG to investigate this process as a means of applying a protective coating to spectacle lenses. The theory, as proposed by the group, involves the 'lubrication' form of the equations of slow viscous flow. This yields an estimate of the wet coating thickness variation, which in turn depends on the liquid properties, the pull rate, and the lens curvature. When this thickness is reduced by the volatile fraction of the coating, predicted thicknesses are in rough agreement with reported values. Once applied, the liquid film drains downward and this effect is modelled numerically. An outline of a more complete model, allowing evaporation and drying, is also presented
HOW CAN PD PROCESS MODELLING BE MADE MORE USEFUL? AN EXPLORATION OF FACTORS WHICH INFLUENCE MODELLING UTILITY
In what sense is PD process modelling useful? and how can the utility of modelling be improved?
In this paper, we approach these questions through an analysis of PD process modelling ‘utility’ – which in broad terms we consider to be the degree to which a model-based approach or modelling intervention benefits practice. We view the utility of modelling as a composite characteristic which depends both on the properties of models and on the way they are applied. The paper draws upon
established principles of cybernetic systems in an attempt to explain the role played by process modelling in operating and improving PD processes. We use this framework to identify eight key factors which influence the utility of modelling in the context of use. Further, we indicate how these
factors can be interpreted to identify opportunities to improve modelling utility.International Design Conference - DESIGN 201
Modeling batch annealing process using data mining techniques for cold rolled steel sheets
The annealing process is one of the important operations in production of cold rolled steel sheets, which significantly influences the final product quality of cold rolling mills. In this process, cold rolled coils are heated slowly to a desired temperature and then cooled. Modelling of annealing process (prediction of heating and cooling time and trend prediction of coil core temperature) is a very sophisticated and expensive work. Modelling of annealing process can be done by using of thermal models. In this paper, Modelling of steel annealing process is proposed by using data mining techniques. The main advantages of modelling with data mining techniques are: high speed in data processing, acceptable accuracy in obtained results and simplicity in using of this method. In this paper, after comparison of results of some data mining techniques, feed forward back propagation neural network is applied for annealing process modelling. A good correlation between results of this method and results of thermal models has been obtained
An Audience Centred Approach to Business Process Reengineering
This paper describes a method for process modelling which is designed to provide guidance to the business process modeller. The method has evolved from our experience of attempting to apply software process modelling approaches to business processes. A major influence on the method has been our observations that a pragmatic approach to notation selection is required in order to maintain a
meaningful dialogue with end-users. Business process modelling methods typically fall into two camps. General methods attempt to describe the managerial activities which surround the modelling itself (Coulson-Thomas, 94; GISIP, 95). Specific methods, on the other hand, tend to
concentrate on the details of a particular notational approach. However, as with programming languages or design methods, no single notational approach is best suited to all problems. Ideally, the process modeller should be able to incorporate the appropriate notational approach into some coherent generic modelling method.This paper addresses the needs of the modeller at the detailed level without prescribing a specific notation. This is achieved by describing categories of modelling activities which the modeller should undertake within process modelling, and
suggesting how notations may be used within these categories. Our method is generally applicable, and is illustrated here by models of processes within the
Construction industry
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