Non-Corporate Research Output (Industrial and Systems Engineering)

Permanent URI for this collectionhttp://hdl.handle.net/2263/4391

A Collection of refereed articles, key note addresses and open lectures of the Department of Industrial - and Systems Engineering.

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Now showing 1 - 20 of 28

BPM education in academia : status, challenges and its future
(2009-06) antoniej@up.ac.za; Janse van Rensburg, Antonie C.
BPM is the newest process management theory which views business processes as assets that can be managed and adapted in response to constant change. Without saying the benefits of BPM arises from this ability that the organisation possess through the philosophy and tools (BPMS). Business process management (BPM) is a strategy for managing and improving the performance of the business through the continuous optimization of business processes in a closed-loop cycle of modeling, execution and measurement.
IE in the public services: contributing towards the ASGISA objectives
(2009-07-08T06:08:17Z) antoniej@up.ac.za; Janse van Rensburg, Antonie C.
Presentation on contributing towards the accelerated and shared growth initiative for South Africa.
Business process modelling - a business fractal approach
(2009-07-08T06:06:57Z) Janse van Rensburg, Antonie C.
The role and position of operations management in an organization depends on the value it contributes to the sustainability of the organization. Tactical operations management ensures that business strategy is appropriately translated into operational policies and objectives. This is done through the planning and control of resource capacity and operational events. One of the key contributing success factors is the appropriate design and optimization of business processes to do so.
The value chain as an operations reference model
(2009-07-08T06:06:43Z) antoniej@up.ac.za; Janse van Rensburg, Antonie C.
The concept of the value chain was made popular by Harvard University's Professor Michael Porter. The Porter value chain has been widely adopted by the business community as a mechanism to understand and comprehend complexity in business evironments, with the ultimate goal of structuring the business to maximise its competitive advantage. Implementing the value chain is not easy: a number of organizations can testify to their failure to derive any benefits at all from this concept. Contributing to this is the fact that the value chain requires certain real-world abstractions that do not come logically to the organization in its definition of the value chain. This is made worse when the organization tries to implement these concepts in real-world situations without "decoding" abstractions back to reality. To overcome this problem, an approach is presented to assist the organization in creating a value chain reference model within the broader context of the organization's enterprise architecture.
Analysing the business process footprint
(SAIIE, 2008-10) antoniej@up.ac.za; Janse van Rensburg, Antonie C.
Presentation on creating smart business processes
The construction of box-plots
(2008-08-29T05:57:51Z) paul.kruger@up.ac.za; Kruger, P.S. (Paul Stephanus), 1944-
A Box-Plot is a visual display of the summary statistics associated with a process on a single graphic. It is a convenient way to compare the statistical characteristics of different processes and to monitor a process for any possible changes over time. In this way Box-Plots are often used in the process industries as part of the real time displays in a control room.
Approximations
(2008-08-29T05:57:00Z) paul.kruger@up.ac.za; Kruger, P.S. (Paul Stephanus), 1944-
The calculation of individual probability terms from a Binomial distribution may cause some computational difficulties for large values of n. The same may be true for the Poisson distribution for large values of the mean. Under these circumstances the Normal distribution may be used as an approximation.
The logical union of events
(2008-08-29T05:56:05Z) paul.kruger@up.ac.za; Kruger, P.S. (Paul Stephanus), 1944-
The logical operations of a Union and an Intersection of several events defined on an event space is often required in the calculation of the probability for compound events. The concepts of Mutual Exclusiveness and Mutual Dependence of events is important in these calculations.
Data sets, descriptive measures, histograms and data patterns
(2008-08-29T05:54:55Z) paul.kruger@up.ac.za; Kruger, P.S. (Paul Stephanus), 1944-
One of the principle purposes of mathematical statistics is to provide tools by which the existence of a "pattern" in a data set may be detected and quantified, or classified. Descriptive statistical measures and graphical tools such as histograms are possibly the most elementary of these pattern recognition tools.
Hypotheses testing : P-values
(2008-08-12T07:00:01Z) paul.kruger@up.ac.za; Kruger, P.S. (Paul Stephanus), 1944-
In statistical hypothesis testing, the P-value is the probability of obtaining a value of the test statistic at least as extreme as the one that was actually observed, given that the null hypothesis is true. The fact that P-values are based on this assumption is crucial to their correct interpretation.
Construction of a stem-and-leaf plot from sample data
(2008-08-12T06:59:15Z) paul.kruger@up.ac.za; Kruger, P.S. (Paul Stephanus), 1944-
A Stem-and-Leaf plot, is a device for presenting quantitative data in a graphical format, similar to a histogram, to assist in visualizing the shape of a distribution. Unlike histograms, stem-and-leaf plots retain the original data to at least two significant digits. Stem-and-Leaf plots work well for medium sample sizes (say 30 to 100) but for large sample sizes a histogram may be preferred. A basic Stem-and-Leaf plot contains two columns. The left column contains the stems and the right column contains the leaves.
Hypotheses testing : sensitivity
(2008-08-07T12:19:02Z) paul.kruger@up.ac.za; Kruger, P.S. (Paul Stephanus), 1944-
The construction of histograms from sample data
(2008-07-16T07:12:58Z) paul.kruger@up.ac.za; Kruger, P.S. (Paul Stephanus), 1944-
A Histogram is one of the most important tools of descriptive statistics. It provides a Graphical estimation of the Distribution and Statistical Characteristics of the underlying stochastic process from which the sample has been taken. Whenever one is faced with a data set, consisting of n unordered observations from a stable stochastic process, the construction of a histogram should be one of the very first steps in the process of analyzing the data. If the sample size is small it may be difficult to obtain a useful histogram. The choice of the number of intervals, interval size, location and the range is the user's responsibility.
The art and science of business architectures
(2008-06-12T13:59:35Z) antoniej@up.ac.za; Janse van Rensburg, Antonie C.
The presentation addresses sytems thinking and business fractals, the enterprise architecture context and discusses the four process groupings of the Business process model.
Integrated framework for optimising organisation performance
(2008-03-25T12:34:52Z) antonie.jansevanrensburg@up.ac.za; Janse van Rensburg, Antonie C.
Investment Portfolio Manager versus Board of Directors; Financial Market Investment Strategies drive asset classes and asset types; Strategy and context drives investment actions; Integrated framework to represent an organisation as an investment portfolio; Intent is to ensure alignment for optimal performance.
Industrial Engineering support for emerging business
(2008-03-25T12:33:05Z) antonie.jansevanrensburg@up.ac.za; Janse van Rensburg, Antonie C.
According to FutureWorld (see http://asp.futureworld.co.za) the past two decades have seen three major revolutions transforming world markets. The combination of globalisation, new management thinking and technology creates vast new open deregulated markets, wired together by a converging information highway. New and transformed organisations are emerging as leaders as they re-write the rules of business. The South African business environment is currently faced with enormous changes, brought about by new technologies and the quest for global competitiveness. This paper presents established and new disciplines required to deal with emerging business models as seen from an industrial engineering perspective.
Industrial engineering disciplines in the next millenium
(2008-03-25T12:31:27Z) antonie.jansevanrensburg@up.ac.za; Janse van Rensburg, Antonie C.
The combination of globalisation, new management thinking and technology creates vast new open deregulated markets, wired together by a converging information highway. As new and transformed organisations are re-writing the rules of business, new ways are being sought to address the challenge of this new knowledge era. This paper presents industrial engineering disciplines required to deal with emerging business models in service industries.
Industrial engineering support for emerging business models
(2008-03-25T12:29:51Z) antonie.jansevanrensburg@up.ac.za; Janse van Rensburg, Antonie C.
Engineering is concerned with the economical use of limited resources for the benefit of mankind. Business engineering is a systems approach to the analysis, design, development, construction and implementation of holistic business systems (people, processes and resources). Business engineering adds economic value to organisations through productivity improvement, market expansion or new market creation activities. Key focus areas of business engineering are people, business processes, change and knowledge.
Linking business process management and the supply chain
(2008-03-25T12:29:09Z) antonie.jansevanrensburg@up.ac.za; Janse van Rensburg, Antonie C.
Business processes and their supporting architecture forms the foundation of the business process management implementation. A high number of business process change projects fail in organisations. All organisations have, or are part of a supply chain. Effective and efficient operation of a supply chain is critical to the meeting of an organisation’s strategic objectives. The purpose of this presentation is to present the philosophy, principles and approach to define the appropriate baseline for business process management in a supply chain.
Knowledge management
(2008-03-25T12:28:26Z) Breedt, Marlize; antonie.jansevanrensburg@up.ac.za; Janse van Rensburg, Antonie C.
The emergence of the Information Age necessitates the need to manage the organisation’s knowledge asset. The competitive advantage of the organisation depends on the quality of the organisation’s knowledge asset and the successful exploitation of it. Knowledge management aims at leveraging this explicit and tacit knowledge asset to the collective benefit of the organisation by developing an infrastructure to facilitate knowledge processes. Elements such as company know-how, employee competence, the internal knowledge market and client perceptions guide knowledge management initiatives within organisations.

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