Supply chain benefits expectation management framework

Organizations invest heavily in Supply Chain Management Systems expecting the benefits promised by the software vendors and the implementation partners. However, both academic and industry reports suggest that there is growing dissatisfaction among client organizations due to an increasing gap in benefits purported by the software vendors and benefits realised by the client. In order to better manage expectations of the client organization, this study proposes a Benefit Expectation Management Framework for Supply Chain Management Systems, based on Expectation-Confirmation Theory. This study derives 60 expected benefits of Supply Chain Management Systems through 41 vendor-reported customer stories and academic papers. Through comparing those benefits with the received benefits by a case organization that has implemented SAP Supply Chain Management Systems for seven years, two salient factors – long timetable and multiple stakeholders – have been identified as the controlling factors affecting the confirmation level of Supply Chain Management System expectations and further impacting the satisfaction of a client organization. The case study also highlights the likely causes for realized benefits and enduring issues in relation to the Supply Chain Management Systems.

A prospective observational study of patient positioning in a Saudi intensive care unit

Aim: To describe the positioning of patients managed in an intensive care unit (ICU); assess how frequently these patients were repositioned; and determine if any specific factors influenced how, why or when patients were repositioned in the ICU. Background: Alterations in body position of ICU patients are important for patient comfort and are believed to prevent and/or treat pressure ulcers, improve respiratory function and combat the adverse effects of immobility. There is a paucity of research on the positioning of critically ill patients in Saudi Arabian ICUs. Design and Methods: A prospective observational study was undertaken. Participant demographic data were collected as were clinical factors (i.e. ventilation status, primary diagnosis, co-morbidities and Ramsay sedation score) and organizational factors (i.e. time of day, type of mattress or beds used, nurse/patient ratio and the patient's position). Clinical and some organization data were recorded over a continuous 48 hour period. Result: Twenty-eight participants were recruited to the study. No participant was managed in either a flat or prone position. Obese participants were most likely to be managed in a supine position. The mean time between turns was two hours. There was no significant association between the mean time between turns and the recorded variables related to patients' demographic and organizational considerations. Conclusion: Results indicate that patient positioning in the ICU was a direct result of unit policy - it appeared that patients were not repositioned based upon evaluation of their clinical condition but rather according to a two-hour ICU timetable

The OO files : providing online formative feedback on Contract Law learning in a narrative setting

Feedback, both formative and summative, enables students to reflect on their understandings and to restructure their thinking to develop their capabilities. It can also encourage positive motivation and help boost self-esteem. Online multiple choice questions can be an efficient and effective means of providing timely formative feedback. At the same time, locating learning in a narrative environment can facilitate engaging and effective learning experiences. Narratives can help learners to navigate through information and support cognitive and imaginative engagement. This article will discuss The 00 Files, an online suite of modules containing multiple choice questions situated in the narrative of a fictional law firm. It notes student responses to the program and discusses lessons that may be learnt from its development which may be of assistance to academics considering the development of similar programs for their courses.

Effects of eco-driving instructions using a vehicle with automatic transmission on urban roads

Eco-driving instructions could reduce fuel consumption to up to 20% (EcoMove, 2010). Participants (N=13) drove an instrumented vehicle (i.e. Toyota Camry 2007) with an automatic transmission. Fuel consumption of the participants were compared before and after they received eco-driving instructions. Participants drove the same vehicle on the same urban route under similar traffic conditions. Results show that, on free flow sections of the track, all participants drove slightly faster (on average, 0.7 Km/h faster), during the lap for which they were instructed to drive in an eco-friendly manner as compared to when they were not given the eco-driving instruction. Suprisingly, eco-driving instructions increased the RPM significantly in most cases. Fuel consumption slightly decreased (6%) after the eco-driving instructions. We have found strong evidence showing that the fuel saving observed in our experiment (urban environment, automatic transmission) fall short of the 20% reduction claimed in other international trials.

Australian adolescents’ perceived school-based barriers and facilitators to engagement in physical activity

OBJECTIVE: School-aged youth spend a significant amount of time either in transit to and from school, or within school settings performing a range of varying learning-based activities. Adolescent physical activity has also been shown to increase the likelihood of maintaining physical activity throughout adulthood. The purpose of this study is to investigate adolescents’ perceived school-based barriers and facilitators to engagement in physical activity. METHODS: One-hundred and twenty four participants (38 males and 86 females) were recruited from two non-denominational same-sex private schools, in Brisbane, Australia. The mean age and standard deviation (SD) was 13.83 (0.56) and 14.40 (2.33) for males and females respectively. Participants responded to a series questions regarding perceived barriers and facilitators to engagement in physical activity. Quantitative data was analysed using descriptive statistics and frequency distributions, and qualitative data with thematic analysis. RESULTS: A total of 121 (97.6%) participants had complete data sets and were included in the analysis. School timetable (44.6%), homework (81.8%), and assessment (81.0%) were identified as the most prominent perceived factors, increasing the difficulty of physical activity engagement. Physical Education classes (71.9%) and school sport programs (80.2%) were identified as the most prominent perceived factors that facilitate engagement in physical activity. There was no significant gender effect. CONCLUSIONS: Each of the identified factors perceived by adolescent's as either barriers or facilitators to engagement in physical activity may be addressed by administrators at a school and government policy level. These may include strategies such as; increasing the assigned hours to physical education classes, providing additional extra-curricular sporting opportunities, and reviewing the time allocated to homework and assessment items. This may provide a simpler, low-cost solution to increasing youth physical activity, as opposed to contemporary higher-cost strategies utilising increased staff commitment, mass media, provision of equipment and counsellors and other health professionals.

Determining operations affected by delay in predictive train timetables

Constructing train schedules is vital in railways. This complex and time consuming task is however made more difficult by additional requirements to make train schedules robust to delays and other disruptions. For a timetable to be regarded as robust, it should be insensitive to delays of a specified level and its performance with respect to a given metric, should be within given tolerances. In other words the effect of delays should be identifiable and should be shown to be minimal. To this end, a sensitivity analysis is proposed that identifies affected operations. More specifically a sensitivity analysis for determining what operation delays cause each operation to be affected is proposed. The information provided by this analysis gives another measure of timetable robustness and also provides control information that can be used when delays occur in practice. Several algorithms are proposed to identify this information and they utilise a disjunctive graph model of train operations. Upon completion the sets of affected operations can also be used to define the impact of all delays without further disjunctive graph evaluations.

Reconceptualizing statistical learning in the early years

This chapter argues for the need to restructure children’s statistical experiences from the beginning years of formal schooling. The ability to understand and apply statistical reasoning is paramount across all walks of life, as seen in the variety of graphs, tables, diagrams, and other data representations requiring interpretation. Young children are immersed in our data-driven society, with early access to computer technology and daily exposure to the mass media. With the rate of data proliferation have come increased calls for advancing children’s statistical reasoning abilities, commencing with the earliest years of schooling (e.g., Langrall et al. 2008; Lehrer and Schauble 2005; Shaughnessy 2010; Whitin and Whitin 2011). Several articles (e.g., Franklin and Garfield 2006; Langrall et al. 2008) and policy documents (e.g., National Council of Teachers ofMathematics 2006) have highlighted the need for a renewed focus on this component of early mathematics learning, with children working mathematically and scientifically in dealing with realworld data. One approach to this component in the beginning school years is through data modelling (English 2010; Lehrer and Romberg 1996; Lehrer and Schauble 2000, 2007)...

A hybrid constructive heuristic and simulated annealing for railway crew scheduling

Railway crew scheduling problem is the process of allocating train services to the crew duties based on the published train timetable while satisfying operational and contractual requirements. The problem is restricted by many constraints and it belongs to the class of NP-hard. In this paper, we develop a mathematical model for railway crew scheduling with the aim of minimising the number of crew duties by reducing idle transition times. Duties are generated by arranging scheduled trips over a set of duties and sequentially ordering the set of trips within each of duties. The optimisation model includes the time period of relief opportunities within which a train crew can be relieved at any relief point. Existing models and algorithms usually only consider relieving a crew at the beginning of the interval of relief opportunities which may be impractical. This model involves a large number of decision variables and constraints, and therefore a hybrid constructive heuristic with the simulated annealing search algorithm is applied to yield an optimal or near-optimal schedule. The performance of the proposed algorithms is evaluated by applying computational experiments on randomly generated test instances. The results show that the proposed approaches obtain near-optimal solutions in a reasonable computational time for large-sized problems.

A demand-responsive decision support system for coal transportation

In this paper, a demand-responsive decision support system is proposed by integrating the operations of coal shipment, coal stockpiles and coal railing within a whole system. A generic and flexible scheduling optimisation methodology is developed to identify, represent, model, solve and analyse the coal transport problem in a standard and convenient way. As a result, the integrated train-stockpile-ship timetable is created and optimised for improving overall efficiency of coal transport system. A comprehensive sensitivity analysis based on extensive computational experiments is conducted to validate the proposed methodology. The mathematical proposition and proof are concluded as technical and insightful advices for industry practice. The proposed methodology provides better decision making on how to assign rail rolling-stocks and upgrade infrastructure in order to significantly improve capacity utilisation with the best resource-effectiveness ratio. The proposed decision support system with train-stockpile-ship scheduling optimisation techniques is promising to be applied in railway or mining industry, especially as a useful quantitative decision making tool on how to use more current rolling-stocks or whether to buy additional rolling-stocks for mining transportation.

Mindfulness-meditation on the move : implementation of an ACT-based mindfulness practice intervention and training within a University Dance program

As part of the introduction of a broader dance medicine and science related health and wellbeing program, a 9 week mindfulness-meditation ACT-based program was delivered to all students undertaking full-time University dance training (N = 106). The aim of the program was to assist students in the further development of performance psychology skills that could be applied in both performance and non-performance settings. Participant groups were comprised of both male (N = 12) and female (N = 94) students from across all three year levels of two undergraduate dance courses, divided into three groups by mixed year levels due to timetable scheduling requirements. Pre- and post-testing was undertaken utilising the Mindful Attention Awareness Scale (MAAS-15), a uni-dimensional measure of mindfulness, in addition to qualitative questions checking the current level of awareness and understanding of mindfulness practice and its application. Weekly sessions were conducted by qualified sport and exercise psychologists and covered key practices such as: Mindfulness of Body, Mindfulness of Breathing, Mindfulness of Sounds, ACT-based and general Imagery exercises, Developing Open Awareness, Mindfulness of Emotions, and Developing Inner Stillness. Students were required to maintain a reflective journal that was utilised at the end of each weekly session, in addition to completion of a mid-Semester reflective debrief. Teaching staff additionally attended the weekly sessions and linked the mindfulness practice learnings into the student’s practical dance and academic classes where appropriate. Anecdotal feedback indicates that participation in the mindfulness-meditation sessions and the development of these mental skills has resulted in positive performance and personal outcomes. Observations collated from staff and students, results from the data collection phases and recommendations regarding future applications within dance training settings will be discussed within the presentation.

Restructuring arts and cultural funding in Tanzania : expectations and impasses

In 1984, the Tanzanian government established the Tanzania Culture Trust Fund (TCTF) – well known as ‘Mfuko’ – with the support of the Swedish government. The focus of Mfuko was to enable the arts and cultural sector to strengthen its position through grant allocations. However, rural artists have limited opportunity to access financial support to strengthen their works. The challenge remains: how to restructure arts and cultural funding in line with cutting dependence on foreign aid. This article reports on the research findings of a case study based on ‘Strategies for youth employment in Tanzania: A creative industries approach’. The study was undertaken in Dar-Es-Salaam, Bagamoyo, Dodoma, Lindi and Morogoro from July to October, 2012. This study employed mixed me thods incorporating questionnaires, interviews, and focus groups. This paper argues that lack of deliberate initiatives to restructure arts and cultural funding (in line with cutting dependence on foreign assistance) have prevented artists from fulfilling their desire for better lives. Hence, the severe lack of financial support to the artists remains a challenge to meeting the Millennium Development Goals and Tanzania Development Vision 2025. Although this discussion is specific to Tanzania, the significance and contribution of this case may apply to other developing countries.

Planning to Learn : Creating and Using a Personal Planner with Young People on the Autism Spectrum

Late intervention often means that young people on the autism spectrum appear to act on impulse, seem disorganized, or fail to learn from past experiences. In this practical, effective resource, the authors share tried and tested techniques for creating and using a personal planner to help individuals on the autism spectrum to develop independence. "Planning to Learn" is split into three parts. The first part guides adults in helping young people to make sense of the world and to develop and practise coping strategies for any given situation. The authors also explain how simple visual and verbal cues can help people to cope successfully in stressful situations. The second part provides worksheets for the young person to complete to learn how to use plans in different situations, for example staying calm when waiting for a doctor, or coping with a change in the school timetable. Each individual makes a unique planner with procedures to refer to, such as responding to pressure, calming down, being organised, and being around people. The third part includes useful cards, schedules and plans for photocopying and including in the planner. This illustrated photocopiable workbook is packed with guidance, support and helpful notes for those new to, or experienced in, working with children and young people with ASD. It can be used within educational and community settings or at home.

The Australian Qualifications Framework for bachelor degree in property economics

The Australian Qualifications Framework (AQF) requires every course in Australia to be reviewed and compliant by 2015. This paper compares the difference between AQF level 7 and level 8 and outlines the paradigm shift in course development, improvement and quality assurance. The AQF requires an outcome oriented process which influences the development, monitoring and implementation of AQF courses. Firstly the graduate profile is defined to underscore the direction of the property course development. Required graduate attributes are then defined, together with course learning outcomes. Each unit/subject assessment is then designed to reflect the desired learning outcomes, and then finally the unit/subject content is backfilled. This reverse engineered process will ensure that all students have been taught and assessed on the graduate attributes which will form the graduate profile. Therefore, monitoring the inclusion of learning outcomes on unit/subject level during course restructure and development is crucial to achieve the course learning outcomes. This paper recommends that further evaluation needs to be conducted in the course development phases by involving professional accreditation bodies, industry representatives, students and recent graduates in this course development process. It also discusses challenges for developing an undergraduate property course.

An operational-level multi-stage mine production timetabling model for optimally synchronising drilling, blasting and excavating operations

This paper proposes a new multi-stage mine production timetabling (MMPT) model to optimise open-pit mine production operations including drilling, blasting and excavating under real-time mining constraints. The MMPT problem is formulated as a mixed integer programming model and can be optimally solved for small-size MMPT instances by IBM ILOG-CPLEX. Due to NP-hardness, an improved shifting-bottleneck-procedure algorithm based on the extended disjunctive graph is developed to solve large-size MMPT instances in an effective and efficient way. Extensive computational experiments are presented to validate the proposed algorithm that is able to efficiently obtain the near-optimal operational timetable of mining equipment units. The advantages are indicated by sensitivity analysis under various real-life scenarios. The proposed MMPT methodology is promising to be implemented as a tool for mining industry because it is straightforwardly modelled as a standard scheduling model, efficiently solved by the heuristic algorithm, and flexibly expanded by adopting additional industrial constraints.

A new constraint programming approach for optimising a coal rail system

Because of the bottlenecking operations in a complex coal rail system, millions of dollars are costed by mining companies. To handle this issue, this paper investigates a real-world coal rail system and aims to optimise the coal railing operations under constraints of limited resources (e.g., limited number of locomotives and wagons). In the literature, most studies considered the train scheduling problem on a single-track railway network to be strongly NP-hard and thus developed metaheuristics as the main solution methods. In this paper, a new mathematical programming model is formulated and coded by optimization programming language based on a constraint programming (CP) approach. A new depth-first-search technique is developed and embedded inside the CP model to obtain the optimised coal railing timetable efficiently. Computational experiments demonstrate that high-quality solutions are obtainable in industry-scale applications. To provide insightful decisions, sensitivity analysis is conducted in terms of different scenarios and specific criteria. Keywords Train scheduling · Rail transportation · Coal mining · Constraint programming