scispace - formally typeset
Search or ask a question

Showing papers in "ORiON in 2013"


Journal ArticleDOI
01 Jun 2013-ORiON
TL;DR: Two objectives, namely the cost of assigning weapon systems for engagement and the accumulated survival probabilities of observed threats as a result of these engagements, were isolated from these factors in order to derive a bi-objective WA model, solved in the context of a simulated, but realistic, GBAD environment.
Abstract: A typical ground-based air defence (GBAD) environment comprises defended assets on the ground which require protection from enemy aircraft entering the defended airspace. Protection against these aircraft is afforded by means of pre-deployed ground-based weapon systems that are assigned to engage these enemy aircraft according to some pre-specified criterion or set of criteria. The conditions under which human operators have to propose assignments of weapon systems to engage these aircraft are severely stressful since time is a critical factor and there is no room for error. Some progress has already been made with respect to the design of computerised threat evaluation and weapon assignment (TEWA) decision support systems (DSSs) within the context of a GBAD system. However, the weapon assignment (WA) component within such a TEWA DSS is typically based on a single criterion (objective). The aim in this paper is to model the WA problem as a multiobjective decision problem. A list of relevant factors (related to objectives) is identified by means of feedback received from a WA questionnaire which was completed by a number of military experts. For illustrative purposes, two objectives, namely the cost of assigning weapon systems for engagement and the accumulated survival probabilities of observed threats as a result of these engagements, were isolated from these factors in order to derive a bi-objective WA model. This model is solved in the context of a simulated, but realistic, GBAD environment by means of an existing multiobjective solution technique called the Nondominated Sorting Genetic Algorithm II.

7 citations


Journal ArticleDOI
01 Dec 2013-ORiON
TL;DR: This paper uses data envelopment analysis (DEA) and stochastic multicriteria acceptability analysis (SMAA) to assess the efficiency with which players at the 2011 Cricket World Cup converted inputs into performance outputs.
Abstract: In limited overs cricket, efficiency plays a significant role in team success Batsmen especially are under pressure to score quickly rather than in large quantities because only 50 overs are available per innings This paper uses data envelopment analysis (DEA) and stochastic multicriteria acceptability analysis (SMAA) to assess the efficiency with which players at the 2011 Cricket World Cup converted inputs (balls faced or bowled) into performance outputs The effect that non-discretionary variables like the cricketing resources available to a player have on his efficiency is controlled for, allowing for a fairer assessment across players from different countries

6 citations


Journal ArticleDOI
01 Jun 2013-ORiON
TL;DR: The random local search exhibits the best overall solution quality, however, the generalised extremal optimisation approach delivers comparable results in considerably shorter computational times.
Abstract: In this paper the sequencing of orders on a unidirectional picking line is considered. The aim of the order sequencing is to minimise the number of cycles travelled by a picker within the picking line to complete all orders. A tabu search, simulated annealing, genetic algorithm, generalised extremal optimisation and a random local search are presented as possible solution approaches. Computational results based on real life data instances are presented for these metaheuristics and compared to the performance of a lower bound and the solutions used in practise. The random local search exhibits the best overall solution quality, however, the generalised extremal optimisation approach delivers comparable results in considerably shorter computational times.

4 citations


Journal ArticleDOI
01 Jun 2013-ORiON
TL;DR: In this article, the authors explored the theme of training operational research practitioners in South Africa by critically evaluating a Masters program in Operational Research in Development (ORD), launched in 2005 at the University of Cape Town.
Abstract: This paper explores the theme of training operational research (OR) practitioners in South Africa by critically evaluating a Masters program in Operational Research in Development (ORD), launched in 2005 at the University of Cape Town. This program was specifically focused on applying OR to the problems of the developing world in general and Africa in particular. We describe the program and review the practical work undertaken by students participating in the program. Topics range widely across domains including health (antimalarial drug resistance); poverty (food banking); governance (NGO management structures and monitoring of local government performance) and sustainable livelihoods (spaza shop operations). We use the review to highlight strengths and weaknesses of the program, as well as challenges faced in the OR education in South Africa at a postgraduate level.

3 citations


Journal ArticleDOI
01 Dec 2013-ORiON
TL;DR: In this paper, a generalization of UFLP is considered in which some demand points, called self-serving, could be served exclusively by a new server at that point.
Abstract: In classical uncapacitated facility location problems (UFLP) the goal is to satisfy requirements of some demand points by setting up some servers, among potential facility locations, such that the total cost including service costs and fixed costs are minimized. In this paper a generalization of UFLP is considered in which some demand points, called self-serving, could be served exclusively by a new server at that point. Numerical experiments show that near optimal solutions are achieved by the proposed method.

3 citations


Journal ArticleDOI
01 Dec 2013-ORiON
TL;DR: In this paper, the authors point out the properties which a secondary series should have in order to improve the forecast accuracy of the primary series and propose a proposal which can be used to select a primary series from several candidate series.
Abstract: Common singular spectrum analysis is a technique which can be used to forecast a primary time series by using the information from a secondary series. Not all secondary series, however, provide useful information. A first contribution in this paper is to point out the properties which a secondary series should have in order to improve the forecast accuracy of the primary series. The second contribution is a proposal which can be used to select a secondary series from several candidate series. Empirical studies suggest that the proposal performs well.

2 citations


Journal ArticleDOI
01 Dec 2013-ORiON
TL;DR: In this paper, the same day of the week increases in peak electricity demand using the Generalized Pareto-type (GP-type) distribution is discussed and the use of the GSP is easier since it has only one parameter to estimate instead of two.
Abstract: Modelling of the same day of the week increases in peak electricity demand using the Generalized Pareto-type (GP-type) distribution is discussed. The GP-type distribution discussed in this paper has one parameter to estimate and as such, it is referred to as the Generalized Single Pareto (GSP). The data is from Eskom, South Africa's power utility company and is for the years 2000 to 2011. A comparative analysis is done with a Generalized Pareto Distribution (GPD). Although both the GSP and the GPD fit the data, the use of the GSP is easier since it has only one parameter to estimate instead of two as is the case with the GPD. Modelling of the same day of the week increases in peak electricity demand improves the reliability of a power network if an accurate assessment of the level and frequency of future extreme load forecasts is carried out.

2 citations


Journal ArticleDOI
01 Jun 2013-ORiON
TL;DR: This paper characterise all steady states of the ESPD as well as the structures of those initial states that lead to the emergence of persistent substates of cooperation over time, and determines analytically the probability that the game's states will evolve from a randomly generated initial state towards a steady state which accommodates some form of persistent cooperation.
Abstract: In this paper we consider the Evolutionary Spatial Prisoner's Dilemma (ESPD) in which players are modelled by the vertices of a cycle representing a spatial or organisational structure amongst the players. During each round of the ESPD every pair of adjacent players in the cycle play a classical prisoner's dilemma against each other, and they update their strategies from one round to the next based on the perceived success achieved by the strategies of neighbouring players during the previous round. In this way players are able to adapt and learn from each other's strategies as the game progresses without being able to rationalise good strategies. We characterise all steady states of the game as well as the structures of those initial states that lead to the emergence of persistent substates of cooperation over time. We finally determine analytically (i.e. without using simulation) the probability that the game's states will evolve from a randomly generated initial state towards a steady state which accommodates some form of persistent cooperation. More specifically, we show that there exists a range of game parameter values for which the likelihood of the emergence of persistent cooperation increases to almost certainty as the length of the cycle increases.

2 citations


Journal ArticleDOI
01 Jun 2013-ORiON
TL;DR: In this article, some statistical approaches to extracting the weights of objects from a judgment matrix are reviewed and new ideas which are rooted in the traditional method of paired comparisons are introduced, which is a multicriteria decision-making technique developed by Saaty in the 1970s.
Abstract: The Analytic Hierarchy Process is a multicriteria decision making technique developed by Saaty in the 1970s. The core of the approach is the pairwise comparison of objects according to a single criterion using a 9-point ratio scale and the estimation of weights associated with these objects based on the resultant judgment matrix. In the present paper some statistical approaches to extracting the weights of objects from a judgment matrix are reviewed and new ideas which are rooted in the traditional method of paired comparisons are introduced.

2 citations


Journal ArticleDOI
01 Jun 2013-ORiON
TL;DR: The Tom Rozwadowski (TR) medal is the most prestigious award of the Operations Research Society of South Africa (ORSSA) as mentioned in this paper and it was first presented in 1971 in honour of one of ORSSA's founding members.
Abstract: The Tom Rozwadowski (TR) medal is the most prestigious award of the Operations Research Society of South Africa (ORSSA). The award, first presented in 1971, was established in honour of one of ORSSA's founding members. Initially the medal was to be presented to a member of the society for a paper of most outstanding merit, but the rules were subsequently adapted and currently the medal is awarded to the best paper published during the previous calendar year. This review endeavours to present an analysis of all the award winning papers since its inception. The aim is three-fold, namely: to present a historical review, to detect any trends within Operations Research (OR) in South Africa and to present a view of OR in the country. The analysis indicates that these award-winning papers are very diverse in nature, which certainly epitomises OR in South Africa, but the sample is small and thus not representative enough to be used to draw strict conclusions about the evolution of OR in South Africa. The papers, in general, exhibit originality, quality and clarity of exposition while there is clear interaction between theory and practice.

Journal ArticleDOI
01 Jun 2013-ORiON
TL;DR: In this paper, a state space model is proposed for improving the estimate of the size of a wildlife population by combining data from current and past surveys, which takes into account the unknown) birth rate in the population and all known losses (mortalities and relocations) and gains (introductions) between successive surveys, as well as the errors in the survey estimates.
Abstract: Arising from a study conducted in the Hluhluwe-iMfolosi Park by the author in the late nineties, a method is proposed for improving the estimate of the size of a wildlife population by combining data from current and past surveys. The method is based on a simple state space model which takes into account the (unknown) birth rate in the population and all known losses (mortalities and relocations) and gains (introductions) in the population between successive surveys, as well as the errors in the survey estimates. The method is applied to the White- and Black Rhinoceros populations in the Hluhluwe-iMfolosi Park and tentative conclusions are drawn on the health of these two populations.