Application of operations research techniques to improve efficiency in the emergency department

The main aim of this thesis is to analyse and optimise a public hospital Emergency Department. The Emergency Department (ED) is a complex system with limited resources and a high demand for these resources. Adding to the complexity is the stochastic nature of almost every element and characteristic in the ED. The interaction with other functional areas also complicates the system as these areas have a huge impact on the ED and the ED is powerless to change them. Therefore it is imperative that OR be applied to the ED to improve the performance within the constraints of the system. The main characteristics of the system to optimise included tardiness, adherence to waiting time targets, access block and length of stay. A validated and verified simulation model was built to model the real life system. This enabled detailed analysis of resources and flow without disruption to the actual ED. A wide range of different policies for the ED and a variety of resources were able to be investigated. Of particular interest was the number and type of beds in the ED and also the shift times of physicians. One point worth noting was that neither of these resources work in isolation and for optimisation of the system both resources need to be investigated in tandem. The ED was likened to a flow shop scheduling problem with the patients and beds being synonymous with the jobs and machines typically found in manufacturing problems. This enabled an analytic scheduling approach. Constructive heuristics were developed to reactively schedule the system in real time and these were able to improve the performance of the system. Metaheuristics that optimised the system were also developed and analysed. An innovative hybrid Simulated Annealing and Tabu Search algorithm was developed that out-performed both simulated annealing and tabu search algorithms by combining some of their features. The new algorithm achieves a more optimal solution and does so in a shorter time.

Vulnerable and invisible : depictions of trafficking victims in public awareness campaigns

Public concern about the crime of human trafficking has dramatically risen over the last two decades. . This concern and panic has both spawned and been fuelled by an array of public awareness campaigns that aim to educate the public about this crime. Campaigns such as the Blue Blindfold Campaign in the UK, the UN-driven Blue Heart Campaign, and the worldwide Body Shop campaign have contributed to the public’s awareness and, to an extent, understanding of the phenomenon of human trafficking. This research explores these and other government and non-government campaigns aimed at raising public awareness of human trafficking. It questions the rationale, call to action and impact of these efforts, and analyses the depiction of trafficking victims in these campaigns. In particular, this research argues that some of these campaigns perpetuate an understanding of a hierarchy of victimisation of trafficking. A public focus on sex trafficking often results in the conflation of prostitution and trafficking, and renders invisible the male and female victims of trafficking for other forms of labour.

Optimising a coal rail network under capacity constraints

This research deals with an innovative methodology for optimising the coal train scheduling problem. Based on our previously published work, generic solution techniques are developed by utilising a “toolbox” of standard well-solved standard scheduling problems. According to our analysis, the coal train scheduling problem can be basically modelled a Blocking Parallel-Machine Job-Shop Scheduling (BPMJSS) problem with some minor constraints. To construct the feasible train schedules, an innovative constructive algorithm called the SLEK algorithm is proposed. To optimise the train schedule, a three-stage hybrid algorithm called the SLEK-BIH-TS algorithm is developed based on the definition of a sophisticated neighbourhood structure under the mechanism of the Best-Insertion-Heuristic (BIH) algorithm and Tabu Search (TS) metaheuristic algorithm. A case study is performed for optimising a complex real-world coal rail system in Australia. A method to calculate the lower bound of the makespan is proposed to evaluate results. The results indicate that the proposed methodology is promising to find the optimal or near-optimal feasible train timetables of a coal rail system under network and terminal capacity constraints.

Comparing retail union strategy in a neoliberal context : the case of Australia and New Zealand

Retail employees are amongst the most vulnerable workers in the context of neoliberal market economies. In many countries, low paid retail employees comprise around 10 per cent of the workforce (ABS 2011). The retail labour market is typically highly feminised and youthful, with many employees in part time and various forms of precarious employment (Tailby & Pollert 2011). However, the industry and its trade unions have rarely been the focus of academic study (Tilly & Carré 2011). This paper thus aims to analyse and compare trade union strategies in the retail industry in Australia and New Zealand, by utilising findings from a larger comparative study. The respective unions studied are the Shop Distributive and Allied Workers Union (SDA) in Australia and the National Distribution Union (NDU) in New Zealand. Data from interviews with union officials at different levels and from different regional locations in Australia and NZ are analysed. Union policy documents are also utilised to support the empirical data. Key findings from the comparison of retail unions’ strategy in Australia and NZ include: 1) the importance of institutional factors and internal political differences in shaping and constraining union strategies; 2) different emphases on external relationships and variations in partnership approaches; 3) the need to recruit to ‘stand still’ by retail unions in both countries; and, 4) similarities and differences in the unions’ organising approaches. The paper concludes by examining the implications of these findings for retail unions’ strategic choices and their ability to deliver workplace justice for employees.

The association between objectively measured neighborhood features and walking in middle-aged adults

Purpose: To explore the role of the neighborhood environment in supporting walking Design: Cross sectional study of 10,286 residents of 200 neighborhoods. Participants were selected using a stratified two-stage cluster design. Data were collected by mail survey (68.5% response rate). Setting: The Brisbane City Local Government Area, Australia, 2007. Subjects: Brisbane residents aged 40 to 65 years. Measures Environmental: street connectivity, residential density, hilliness, tree coverage, bikeways, and street lights within a one kilometer circular buffer from each resident’s home; and network distance to nearest river or coast, public transport, shop, and park. Walking: minutes in the previous week categorized as < 30 minutes, ≥ 30 < 90 minutes, ≥ 90 < 150 minutes, ≥ 150 < 300 minutes, and ≥ 300 minutes. Analysis: The association between each neighborhood characteristic and walking was examined using multilevel multinomial logistic regression and the model parameters were estimated using Markov chain Monte Carlo simulation. Results: After adjustment for individual factors, the likelihood of walking for more than 300 minutes (relative to <30 minutes) was highest in areas with the most connectivity (OR=1.93, 99% CI 1.32-2.80), the greatest residential density (OR=1.47, 99% CI 1.02-2.12), the least tree coverage (OR=1.69, 99% CI 1.13-2.51), the most bikeways (OR=1.60, 99% CI 1.16-2.21), and the most street lights (OR=1.50, 99% CI 1.07-2.11). The likelihood of walking for more than 300 minutes was also higher among those who lived closest to a river or the coast (OR=2.06, 99% CI 1.41-3.02). Conclusion: The likelihood of meeting (and exceeding) physical activity recommendations on the basis of walking was higher in neighborhoods with greater street connectivity and residential density, more street lights and bikeways, closer proximity to waterways, and less tree coverage. Interventions targeting these neighborhood characteristics may lead to improved environmental quality as well as lower rates of overweight and obesity and associated chromic disease.

A practical approach for identifying expected solution performance and robustness in operations research applications

A practical approach for identifying solution robustness is proposed for situations where parameters are uncertain. The approach is based upon the interpretation of a probability density function (pdf) and the definition of three parameters that describe how significant changes in the performance of a solution are deemed to be. The pdf is constructed by interpreting the results of simulations. A minimum number of simulations are achieved by updating the mean, variance, skewness and kurtosis of the sample using computationally efficient recursive equations. When these criterions have converged then no further simulations are needed. A case study involving several no-intermediate storage flow shop scheduling problems demonstrates the effectiveness of the approach.

A new approach to automatically producing schedules for cane railways

The scheduling of locomotive movements on cane railways has proven to be a very complex task. Various optimisation methods have been used over the years to try and produce an optimised schedule that eliminates or minimises bin supply delays to harvesters and the factory, while minimising the number of locomotives, locomotive shifts and cane bins, and also the cane age. This paper reports on a new attempt to develop an automatic scheduler using a mathematical model solved using mixed integer programming and constraint programming approaches and blocking parallel job shop scheduling fundamentals. The model solution has been explored using conventional constraint programming search techniques and found to produce a reasonable schedule for small-scale problems with up to nine harvesters. While more effort is required to complete the development of the full model with metaheuristic search techniques, the work completed to date gives confidence that the metaheuristic techniques will provide near optimal solutions in reasonable time.

Study of mechanical deformations on tough skinned vegetables during mechanical peeling process

Peeling is an essential phase of post harvesting and processing industry; however undesirable processing losses are unavoidable and always have been the main concern of food processing sector. There are three methods of peeling fruits and vegetables including mechanical, chemical and thermal, depending on the class and type of fruit. By comparison, the mechanical methods are the most preferred; mechanical peeling methods do not create any harmful effects on the tissue and they keep edible portions of produce fresh. The main disadvantage of mechanical peeling is the rate of material loss and deformations. Obviously reducing material losses and increasing the quality of the process has a direct effect on the whole efficiency of food processing industry, this needs more study on technological aspects of these operations. In order to enhance the effectiveness of food industrial practices it is essential to have a clear understanding of material properties and behaviour of tissues under industrial processes. This paper presents the scheme of research that seeks to examine tissue damage of tough skinned vegetables under mechanical peeling process by developing a novel FE model of the process using explicit dynamic finite element analysis approach. A computer model of mechanical peeling process will be developed in this study to stimulate the energy consumption and stress strain interactions of cutter and tissue. The available Finite Element softwares and methods will be applied to establish the model. Improving the knowledge of interactions and involves variables in food operation particularly in peeling process is the main objectives of the proposed study. Understanding of these interrelationships will help researchers and designer of food processing equipments to develop new and more efficient technologies. Presented work intends to review available literature and previous works has been done in this area of research and identify current gap in modelling and simulation of food processes.

Nonprofit Directors' and Officers' Insurance

In the present economic climate it is easy to get carried away by the negative aspects of the rationalisation and review process which has taken place. As a person considering an offer to take up office with a non-profit organisation or as a person already holding such a position, one way of dealing with the increased exposure to liability may be to refuse the offer or resign from your position. Although this is a legitimate risk management tool (and appropriate in some circumstances), it is essential to the recovery of the economy that the "close up shop mentality" does not prevail. Although regulation of the business community and the community in general and enforcement of those regulations is increasing, the legal framework in which directors, officers and committee members of non-profit organisations operate has not substantially changed in recent times. It is necessary to face up to liability exposures (many of which have existed for centuries) and take steps to manage those exposures in order to carry out the objects of the organisation you serve and which in turn serves the community.

Scheduling techniques to optimise rail operations

In Australia, railway systems play a vital role in transporting the sugarcane crop from farms to mills. The sugarcane transport system is very complex and uses daily schedules, consisting of a set of locomotives runs, to satisfy the requirements of the mill and harvesters. The total cost of sugarcane transport operations is very high; over 35% of the total cost of sugarcane production in Australia is incurred in cane transport. Efficient schedules for sugarcane transport can reduce the cost and limit the negative effects that this system can have on the raw sugar production system. There are several benefits to formulating the train scheduling problem as a blocking parallel-machine job shop scheduling (BPMJSS) problem, namely to prevent two trains passing in one section at the same time; to keep the train activities (operations) in sequence during each run (trip) by applying precedence constraints; to pass the trains on one section in the correct order (priorities of passing trains) by applying disjunctive constraints; and, to ease passing trains by solving rail conflicts by applying blocking constraints and Parallel Machine Scheduling. Therefore, the sugarcane rail operations are formulated as BPMJSS problem. A mixed integer programming and constraint programming approaches are used to describe the BPMJSS problem. The model is solved by the integration of constraint programming, mixed integer programming and search techniques. The optimality performance is tested by Optimization Programming Language (OPL) and CPLEX software on small and large size instances based on specific criteria. A real life problem is used to verify and validate the approach. Constructive heuristics and new metaheuristics including simulated annealing and tabu search are proposed to solve this complex and NP-hard scheduling problem and produce a more efficient scheduling system. Innovative hybrid and hyper metaheuristic techniques are developed and coded using C# language to improve the solutions quality and CPU time. Hybrid techniques depend on integrating heuristic and metaheuristic techniques consecutively, while hyper techniques are the complete integration between different metaheuristic techniques, heuristic techniques, or both.

Revising written messages

Chapter 9 provides strategies for revising professional writing style typically used in formal reports and proposals.

Understanding reports and proposals

Chapter 10 explains the functions and types of report and proposal documents commonly used in business and professional contexts.

Organising reports and proposals

Chapter 12 explains the structure and style of formal report and proposal documents.

The promotion of sustainability agenda for facilities management through developing knowledge capabilities

The growing awareness of sustainability issues around the world has put extensive pressure on the construction industry to improve its sustainable practice. Sustainability principles need to be applied to not just during design and construction phase but the entire life cycle of a construction project. Compared to sustainability endeavours on earlier development phases, the pace to implement sustainability agenda during the operation and maintenance phase has not been as fast during past practices of facilities management (FM). Literature study suggests that sustainable practices in FM activities can bring substantial benefits such as reducing energy consumptions and waste, while increasing productivity, financial return and standing in the community. It also suggests several barriers which inhibit the implementation of sustainability in FM practices, including the lack of knowledge, discrepancy between capability and skills, and unwillingness of the FM personnel and organizations to adapt to new routines in order to implement sustainability in their business. The capabilities of FM personnel and organizations were regarded as the key enablers in managing sustainability knowledge. In a sustainable development context, capabilities are vital to the fostering of competency in an organization to innovate in a more sustainable way and support the agenda in an organization. Additionally, research which focused on people’s capabilities and skills is still lagging behind the efforts to develop guidelines, technical manuals and knowledge portals. Therefore, it is beneficial to explore the issues of capabilities in dealing with the implementation of sustainable practices in FM. This paper introduces a research project which is aimed at establishing a knowledge capabilities framework for promoting sustainability measures in FM practices. It will explore and highlight challenges to integrate sustainability as well as the personnel and organizational capabilities that are vital in dealing with knowledge issues in implementing sustainability agenda in FM practices. The expected outcome of this research has the potential to further sustainability endeavours in FM practices, while providing a useful source of knowledge to the FM personnel and organizations.

Varieties of collaboration: The case of an Australian retail union

Much has been written about varieties of collaboration and the interplay between conflict and collaboration in industrial relations. This paper explores the preconditions, processes and outcomes associated with the collaborative strategies of an Australian retail trade union: the Shop, Distributive and Allied Employees' Association. The data were collected from an extensive series of interviews with officials and organisers within the union across all Australian states. We find that despite taking a servicing approach, and indeed never aggressively organising members, the union has managed to achieve a range of outcomes that exceed retail employment conditions in other countries. We argue that this is partly a result of the Australian legislative framework, which is inherently pluralist and supportive of collective bargaining. This environment, whereby unions are not forced to fight to represent members, can be conducive to collaborative employment relations, particularly in industries where the parties do not adopt an adversarialist stance.