Deliberative educational planning : including educators’ deliberations in educational policy making.

The objective of this chapter is to argue a case for the need to include teachers and professional educators in the policy making and implementation processes of the World Bank's Education Sector Strategy 2020. By drawing on evidence from the Consultation Plan, the chapter investigates how communicative practices about teachers are embedded in the discourse of the plan and how these influence the rationalisation of the policy. In doing so, the chapter will examine the relationships between social actions, systems rationalisation and life world rationalisation. Much like commercial and entrepreneurial organisations focus on the voice of the customer (VOC), that is on satisfying the stakeholders and end users in their processes, in this chapter, the voice of the teacher (VOT) is highlighted. The skills and knowledge of key stakeholders need to be leveraged and engaged in order to ensure that the policy achieves its desired aims. In order to frame this argument, notions of Habermas’ communicative action theory is used to show how policy engages in systems steering. Rather than understanding education strategy and reform as a process of engaging only government and policy makers, this chapter suggests that by engaging the practitioners and listening to the practical discourse around reform, teachers can be leaders of reforms rather than obfuscated agents.

Practitioners' opinions on a new construction process model

Construction projects have been criticised for low performance for many decades. One of the reasons for this situation is the temporary multi-organisation of the construction team; the ultimate reason may be due to the divergent background and specialist skills of the project team members. The aim of this paper is to investigate the different opinions of construction participants within the construction process. It focuses on the projects which use the traditional procurement strategy in the building sector as this process is often perceived as being far from efficient. The methodology used in this research is by interview; the targeted interviewees include architects, quantity surveyors, clients and planning supervisors. An expert system which has been developed to model the construction process, called the CONstruction Best Practice System (CONBPS), has been demonstrated and the participants’ comments sought. The findings are that different construction parties have different perceptions of the construction process and their understanding of each other’s role is ambiguous.

An effective heuristic for stockyard planning and machinery scheduling at a coal handling facility

Coal handling is a complex process involving different correlated and highly dependent operations such as selecting appropriate product types, planning stockpiles, scheduling stacking and reclaiming activities and managing train loads. Planning these operations manually is time consuming and can result in non-optimized schedules as future impact of decisions may not be appropriately considered. This paper addresses the operational scheduling of the continuous coal handling problem with multiple conflicting objectives. As the problem is NP-hard in nature, an effective heuristic is presented for planning stockpiles and scheduling resources to minimize delays in production and the coal age in the stockyard. A model of stockyard operations within a coal mine is described and the problem is formulated as a Bi- Objective Optimization Problem (BOOP). The algorithm efficacy is demonstrated on different real-life data scenarios. Computational results show that the solution algorithm is effective and the coal throughput is substantially impacted by the conflicting objectives. Together, the model and the proposed heuristic, can act as a decision support system for the stockyard planner to explore the effects of alternative decisions, such as balancing age and volume of stockpiles, and minimizing conflicts due to stacker and reclaimer movements.

Embracing rigour : developing a community engagement framework for strategic urban planning

Local governments are increasingly seeking new ways to engage with communities through a variety of productive avenues. Yet strategic planning lags behind with an accepted method to consult and engage with communities about proposed policy changes. When engagement methods are used which go beyond those which are legislated for, the process often involves members of communities who are familiar with planning processes, or have time to participate, thereby excluding large sections of the community. In addition, consultation methods often lack rigour in data collection upon which major strategic decisions are based, thereby undermining government's capacity to make quality and informed planning decisions. The aim of this paper is to assist local government urban planners with their community engagement practice in order to form policies which are acceptable to the affected communities. The paper proposes a community engagement framework which introduces rigour within the community engagement process by drawing on research methods from psychology and political science.

Sustainable planning and design of large-scale metropolitan development projects

Actors in the built environment are increasingly considering environmental issues alongside functional and economic aspects of development projects. However, to date in Australia and internationally, there have been few practical examples of integrated applications of sustainability principles in the built environment across all lifecycle phases. In response to this gap, this paper proposes a conceptual framework based on the principal that early intervention is the most cost-effective and efficient means of implementing effective strategies for sustainability. A strategic environmental assessment (SEA) approach is forwarded as an umbrella analytical framework, assembled from analytical methods which are strategically 'tiered' to inform stages of the project decision-making process. Practically applied and timed accordingly, the framework can allow assessments to be targeted towards appropriate decision making levels and enable better decision-making and more efficient resource allocation for major infrastructure development projects.

A tale of two Victorian historic coastal towns : dilemmas of planning and conservation in Queenscliff and Sorrento

Change has engulfed the coastal fringe of Australia. In balancing the built and natural environment, community needs, cultural significance and economic sustainability, planners aim to improve quality of life and create vibrant communities. Yet managing place change, particularly in coastal areas, is fraught with tensions. Most planning discussions about the rapidity of change, the impact of the Sea Change process and increased development have focused upon the extensiveness of residential expansion and the housing styles that challenge the essence of the character of these coastal towns. Character and sense of place qualities are the very reasons that sea changers desire to engage with and reside within these communities. One aspect missing from this discussion and analysis is the impact that large-scale transformations of iconic buildings are having upon these places. This paper examines the consequences that major commercial development projects have upon the communities of Sorrento and Queenscliff. It considers changes (proposed or realised) to four landmark historic hotels: The Koonya and Continental in Sorrento; and the Ozone and Vue Grand in Queenscliff. This paper focuses on issues of planning, social engagement and community debate.

Advancing community engagement practice for strategic urban planning : learning from allied and remote disciplines

Urban planning has the potential to draw on allied and remote disciplines to improve community consultation processes for strategic planning projects. Urban design and landscape architecture have quantitative and qualitative methods which can be utilised to visualise different options of urban intensification which may fit within communities’ expectations of change. Furthermore political science has long used scientifically established psychometric techniques to collect data from broad sections of the population, analysing demographic profiles of communities and understanding their perceptions and attitudes. By appropriating quantitative and qualitative methods from other disciplines, urban planning policies can be developed which may reflect communities’ aspirations of amenity and neighbourhood character. The aim of this paper is to assist local government urban planners with their community engagement practice in order to form policies which are acceptable to the affected communities. The paper draws on Victoria as a case study of community engagement practice, examines research methods from allied and remote disciplines and proposes a community engagement framework which introduces rigour within the community engagement process.

Process evaluation of a community-based intervention program: Healthy Youth Healthy Communities, an adolescent obesity prevention project in Fiji

Nearly one-half of the adult population in Fiji between the ages of 15–64 years is either overweight or obese; and rates amongst school children have, on average, doubled during the last decade. There is an urgent need to scale up the promotion of healthy behaviors and environments using a multi-sectoral approach. The Healthy Youth Healthy Community (HYHC) project in Fiji used a settings approach in secondary schools and faith-based organizations to increase the capacity of the whole community, including churches, mosques and temples, to promote healthy eating and regular physical activity, and to prevent unhealthy weight gain in adolescents aged 13–18 years. The team consisted of a study manager, project coordinator and four research assistants (RAs) committed to planning, designing and facilitating the implementation of intervention programs in collaboration with other stakeholders, such as the wider school communities, government and non-governmental organizations and business partners. Process data were collected on all intervention activities and analyzed by dose, frequency and reach for each specific strategy. The Fiji Action Plan included nine objectives for the school settings; four were based on nutrition and two on physical activity in schools, plus three general objectives, namely capacity building, social marketing and evaluation. Long-term change in nutritional behavior was difficult to achieve; a key contributor to this was the unhealthy food served in the school canteens. Whilst capacity-building proved to be one of the best mechanisms for intervening, it is important to consider the cultural and social factors influencing health behaviors and affecting specific groups.

Geographic information systems and coastal planning in Australia

The objective of this paper is to demonstrate the ability of visualization and simulation techniques to aid and simulate current and future directions in coastal planning. The process of visualization will interrogate the coastal cities of Portland, Apollo Bay, Anglesea and Hobsons Bay in south-eastern Australian coastal seaboard through a progression of projections and simulated forecasts from 2014 to 2050 to see if a process(s) or methodology could help in planning the future growth of coastal settlements. The analysis uses Geographic Information Systems (GIS) associated with planning application software.

Efficient linear programming algorithm for the transmission network expansion planning problem

The transmission network planning problem is a non-linear integer mixed programming problem (NLIMP). Most of the algorithms used to solve this problem use a linear programming subroutine (LP) to solve LP problems resulting from planning algorithms. Sometimes the resolution of these LPs represents a major computational effort. The particularity of these LPs in the optimal solution is that only some inequality constraints are binding. This task transforms the LP into an equivalent problem with only one equality constraint (the power flow equation) and many inequality constraints, and uses a dual simplex algorithm and a relaxation strategy to solve the LPs. The optimisation process is started with only one equality constraint and, in each step, the most unfeasible constraint is added. The logic used is similar to a proposal for electric systems operation planning. The results show a higher performance of the algorithm when compared to primal simplex methods.

Parallel simulated annealing applied to long term transmission network expansion planning

The simulated annealing optimization technique has been successfully applied to a number of electrical engineering problems, including transmission system expansion planning. The method is general in the sense that it does not assume any particular property of the problem being solved, such as linearity or convexity. Moreover, it has the ability to provide solutions arbitrarily close to an optimum (i.e. it is asymptotically convergent) as the cooling process slows down. The drawback of the approach is the computational burden: finding optimal solutions may be extremely expensive in some cases. This paper presents a Parallel Simulated Annealing, PSA, algorithm for solving the long term transmission network expansion planning problem. A strategy that does not affect the basic convergence properties of the Sequential Simulated Annealing algorithm have been implementeded and tested. The paper investigates the conditions under which the parallel algorithm is most efficient. The parallel implementations have been tested on three example networks: a small 6-bus network, and two complex real-life networks. Excellent results are reported in the test section of the paper: in addition to reductions in computing times, the Parallel Simulated Annealing algorithm proposed in the paper has shown significant improvements in solution quality for the largest of the test networks.

A linear optimization approach to the combined production planning model

Two fundamental processes usually arise in the production planning of many industries. The first one consists of deciding how many final products of each type have to be produced in each period of a planning horizon, the well-known lot sizing problem. The other process consists of cutting raw materials in stock in order to produce smaller parts used in the assembly of final products, the well-studied cutting stock problem. In this paper the decision variables of these two problems are dependent of each other in order to obtain a global optimum solution. Setups that are typically present in lot sizing problems are relaxed together with integer frequencies of cutting patterns in the cutting problem. Therefore, a large scale linear optimizations problem arises, which is exactly solved by a column generated technique. It is worth noting that this new combined problem still takes the trade-off between storage costs (for final products and the parts) and trim losses (in the cutting process). We present some sets of computational tests, analyzed over three different scenarios. These results show that, by combining the problems and using an exact method, it is possible to obtain significant gains when compared to the usual industrial practice, which solve them in sequence. (C) 2010 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

A development process proposal for the ERP5 system

Modeling ERP software means capturing the information necessary for supporting enterprise management. This modeling process goes down through different abstraction layers, from enterprise modeling to code generation. Thus ERP is the kind of system where enterprise engineering undoubtedly has, or should have, a strong influence. For the case of Free/Open Source ERP, the lack of proper modeling methods and tools can jeopardize the advantage brought by source code availability. Therefore, the aim of this paper is to present a development process proposal for the Open Source ERP5 system. The proposed development process aims to cover different abstraction levels, taking into account well established standards and common practices, as well as platform issues. Its main goal is to provide an adaptable meta-process to ERP5 adopters. © 2006 IEEE.

Planning accelerated life tests under Exponentiated-Weibull-Arrhenius model

Purpose - The purpose of this paper is to present designs for an accelerated life test (ALT). Design/methodology/approach - Bayesian methods and simulation Monte Carlo Markov Chain (MCMC) methods were used. Findings - In the paper a Bayesian method based on MCMC for ALT under EW distribution (for life time) and Arrhenius models (relating the stress variable and parameters) was proposed. The paper can conclude that it is a reasonable alternative to the classical statistical methods since the implementation of the proposed method is simple, not requiring advanced computational understanding and inferences on the parameters can be made easily. By the predictive density of a future observation, a procedure was developed to plan ALT and also to verify if the conformance fraction of the manufactured process reaches some desired level of quality. This procedure is useful for statistical process control in many industrial applications. Research limitations/implications - The results may be applied in a semiconductor manufacturer. Originality/value - The Exponentiated-Weibull-Arrhenius model has never before been used to plan an ALT. © Emerald Group Publishing Limited.

Enterprise systems modeling: The ERP5 development process

The design and implementation of an ERP system involves capturing the information necessary for implementing the system's structure and behavior that support enterprise management. This process should start on the enterprise modeling level and finish at the coding level, going down through different abstraction layers. For the case of Free/Open Source ERP, the lack of proper modeling methods and tools jeopardizes the advantages of source code availability. Moreover, the distributed, decentralized decision-making, and source-code driven development culture of open source communities, generally doesn't rely on methods for modeling the higher abstraction levels necessary for an ERP solution. The aim of this paper is to present a model driven development process for the open source ERP ERP5. The proposed process covers the different abstraction levels involved, taking into account well established standards and common practices, as well as new approaches, by supplying Enterprise, Requirements, Analysis, Design, and Implementation workflows. Copyright 2008 ACM.