A simulation analysis of spoke-terminals operating in LTL Hub-and-Spoke freight distribution systems

DUE TO COPYRIGHT RESTRICTIONS ONLY AVAILABLE FOR CONSULTATION AT ASTON UNIVERSITY LIBRARY AND INFORMATION SERVICES WITH PRIOR ARRANGEMENT The research presented in this thesis is concerned with Discrete-Event Simulation (DES) modelling as a method to facilitate logistical policy development within the UK Less-than-Truckload (LTL) freight distribution sector which has been typified by “Pallet Networks” operating on a hub-and-spoke philosophy. Current literature relating to LTL hub-and-spoke and cross-dock freight distribution systems traditionally examines a variety of network and hub design configurations. Each is consistent with classical notions of creating process efficiency, improving productivity, reducing costs and generally creating economies of scale through notions of bulk optimisation. Whilst there is a growing abundance of papers discussing both the network design and hub operational components mentioned above, there is a shortcoming in the overall analysis when it comes to discussing the “spoke-terminal” of hub-and-spoke freight distribution systems and their capabilities for handling the diverse and discrete customer profiles of freight that multi-user LTL hub-and-spoke networks typically handle over the “last-mile” of the delivery, in particular, a mix of retail and non-retail customers. A simulation study is undertaken to investigate the impact on operational performance when the current combined spoke-terminal delivery tours are separated by ‘profile-type’ (i.e. retail or nonretail). The results indicate that a potential improvement in delivery performance can be made by separating retail and non-retail delivery runs at the spoke-terminal and that dedicated retail and non-retail delivery tours could be adopted in order to improve customer delivery requirements and adapt hub-deployed policies. The study also leverages key operator experiences to highlight the main practical implementation challenges when integrating the observed simulation results into the real-world. The study concludes that DES be harnessed as an enabling device to develop a ‘guide policy’. This policy needs to be flexible and should be applied in stages, taking into account the growing retail-exposure.

Enhancing the transparency of accounting research: the case of narrative analysis

Purpose – This paper aims to clarify what ‘narrative analysis’ may entail when it is assumed that interview accounts can be treated as (collections of) narratives. What is considered a narrative and how these may be analyzed is open to debate. After suggesting an approach of how to deal with narrative analysis, the authors critically discuss how far it might offer insights into a particular accounting case. Design/methodology/approach – After having explained what the authors’ view on narrative analysis is, and how this is linked with the extant literature, the authors examine the socialisation processes of two early career accountants that have been articulated in an interview context. Findings – The approach to narrative analysis set out in this paper could help to clarify how and why certain interpretations from an interview are generated by a researcher. The authors emphasise the importance of discussing a researcher’s process of discovery when an interpretive approach to research is adopted. Research limitations/implications – The application of any method, and what a researcher thinks can be distilled from this, depends on the research outlook he/she has. As the authors adopt an interpretive approach to research in this paper, they acknowledge that the interpretations of narratives, and what they deem to be narratives, will be infused by their own perceptions. Practical implications – The authors believe that the writing-up of qualitative research from an interpretive stance would benefit from an explicit acceptance of the equivocal nature of interpretation. The way in which they present and discuss the narrative analyses in this paper intends to bring this to the fore. Originality/value – Whenever someone says he/she engages in narrative analysis, both the “narrative” and “analysis” part of “narrative analysis” need to be explicated. The authors believe that this only happens every so often. This paper puts forward an approach of how more clarity on this might be achieved by combining two frameworks in the extant literature, so that the transparency of the research is enhanced.

A hybrid measurement systems analysis and uncertainty of measurement approach for industrial measurement in the light controlled factory

The uncertainty of measurements must be quantified and considered in order to prove conformance with specifications and make other meaningful comparisons based on measurements. While there is a consistent methodology for the evaluation and expression of uncertainty within the metrology community industry frequently uses the alternative Measurement Systems Analysis methodology. This paper sets out to clarify the differences between uncertainty evaluation and MSA and presents a novel hybrid methodology for industrial measurement which enables a correct evaluation of measurement uncertainty while utilising the practical tools of MSA. In particular the use of Gage R&R ANOVA and Attribute Gage studies within a wider uncertainty evaluation framework is described. This enables in-line measurement data to be used to establish repeatability and reproducibility, without time consuming repeatability studies being carried out, while maintaining a complete consideration of all sources of uncertainty and therefore enabling conformance to be proven with a stated level of confidence. Such a rigorous approach to product verification will become increasingly important in the era of the Light Controlled Factory with metrology acting as the driving force to achieve the right first time and highly automated manufacture of high value large scale products such as aircraft, spacecraft and renewable power generation structures.

An analysis of police interview discourse and its role(s) in the judicial process

This study analyses the current role of police-suspect interview discourse in the England & Wales criminal justice system, with a focus on its use as evidence. A central premise is that the interview should be viewed not as an isolated and self-contained discursive event, but as one link in a chain of events which together constitute the criminal justice process. It examines: (1) the format changes undergone by interview data after the interview has taken place, and (2) how the other links in the chain – both before and after the interview – affect the interview-room interaction itself. It thus examines the police interview as a multi-format, multi-purpose and multi-audience mode of discourse. An interdisciplinary and multi-method discourse-analytic approach is taken, combining elements of conversation analysis, pragmatics, sociolinguistics and critical discourse analysis. Data from a new corpus of recent police-suspect interviews, collected for this study, are used to illustrate previously unaddressed problems with the current process, mainly in the form of two detailed case studies. Additional data are taken from the case of Dr. Harold Shipman. The analysis reveals several causes for concern, both in aspects of the interaction in the interview room, and in the subsequent treatment of interview material as evidence, especially in the light of s.34 of the Criminal Justice and Public Order Act 1994. The implications of the findings for criminal justice are considered, along with some practical recommendations for improvements. Overall, this study demonstrates the need for increased awareness within the criminal justice system of the many linguistic factors affecting interview evidence.

Analysis and comparative study of different converter modes in modular second life hybrid battery energy storage systems

The use of ex-transportation battery system (i.e. second life EV/HEV batteries) in grid applications is an emerging field of study. A hybrid battery scheme offers a more practical approach in second life battery energy storage systems because battery modules could be from different sources/ vehicle manufacturers depending on the second life supply chain and have different characteristics e.g. voltage levels, maximum capacity and also different levels of degradations. Recent research studies have suggested a dc-side modular multilevel converter topology to integrate these hybrid batteries to a grid-tie inverter. Depending on the battery module characteristics, the dc-side modular converter can adopt different modes such as boost, buck or boost-buck to suitably transfer the power from battery to the grid. These modes have different switching techniques, control range, different efficiencies, which give a system designer choice on operational mode. This paper presents an analysis and comparative study of all the modes of the converter along with their switching performances in detail to understand the relative advantages and disadvantages of each mode to help to select the suitable converter mode. Detailed study of all the converter modes and thorough experimental results based on a multi-modular converter prototype based on hybrid batteries has been presented to validate the analysis.

Theoretical perspectives in operations management:an analysis of the literature

Purpose - It is important to advance operations management (OM) knowledge while being mindful of the theoretical developments of the discipline. The purpose of this paper is to explore which theoretical perspectives have dominated the OM field. This analysis allows the authors to identify theory trends and gaps in the literature and to identify fruitful areas for future research. A reflection on theory is also practical, given that it guides research toward important questions and enlightens OM practitioners. Design/methodology/approach - The authors provide an analysis of OM theory developments in the last 30 years. The study encompasses three decades of OM publications across three OM journals and contains an analysis of over 3,000 articles so as to identify which theories, over time, have been adopted by authors in order to understand OM topics. Findings - The authors find that the majority of studies are atheoretical, empirical, and focussed upon theory testing rather than on theory development. Some theories, such as the resource-based view and contingency theory, have an enduring relevance within OM. The authors also identify theories from psychology, economics, sociology, and organizational behavior that may, in the future, have salience to explain burgeoning OM research areas such as servitization and sustainability. Research limitations/implications - The study makes a novel contribution by exploring which main theories have been adopted or developed in OM, doing so by systematically analyzing articles from the three main journals in the field (the Journal of Operations Management, Production and Operations Management, and the International Journal of Operations and Production Management), which encompass three decades of OM publications. In order to focus the study, the authors may have missed important OM articles in other journals. Practical implications - A reflection on theories is important because theories inform how a researcher or practicing manager interprets and solves OM problems. This study allows the authors to reflect on the collective OM journey to date, to spot trends and gaps in the literature, and to identify fruitful areas for future research. Originality/value - As far as the authors are aware, there has not been an assessment of the main theoretical perspectives in OM. The research also identifies which topics are published in OM journals, and which theories are adopted to investigate them. The authors also reflect on whether the most cited papers and those winning best paper awards are theoretical. This gives the authors a richer understanding of the current state of OM research.

Combined quality function deployment and logical framework analysis to improve quality of emergency care in Malta

Purpose – The purpose of this paper is to develop an integrated patient-focused analytical framework to improve quality of care in accident and emergency (A&E) unit of a Maltese hospital. Design/methodology/approach – The study adopts a case study approach. First, a thorough literature review has been undertaken to study the various methods of healthcare quality management. Second, a healthcare quality management framework is developed using combined quality function deployment (QFD) and logical framework approach (LFA). Third, the proposed framework is applied to a Maltese hospital to demonstrate its effectiveness. The proposed framework has six steps, commencing with identifying patients’ requirements and concluding with implementing improvement projects. All the steps have been undertaken with the involvement of the concerned stakeholders in the A&E unit of the hospital. Findings – The major and related problems being faced by the hospital under study were overcrowding at A&E and shortage of beds, respectively. The combined framework ensures better A&E services and patient flow. QFD identifies and analyses the issues and challenges of A&E and LFA helps develop project plans for healthcare quality improvement. The important outcomes of implementing the proposed quality improvement programme are fewer hospital admissions, faster patient flow, expert triage and shorter waiting times at the A&E unit. Increased emergency consultant cover and faster first significant medical encounter were required to start addressing the problems effectively. Overall, the combined QFD and LFA method is effective to address quality of care in A&E unit. Practical/implications – The proposed framework can be easily integrated within any healthcare unit, as well as within entire healthcare systems, due to its flexible and user-friendly approach. It could be part of Six Sigma and other quality initiatives. Originality/value – Although QFD has been extensively deployed in healthcare setup to improve quality of care, very little has been researched on combining QFD and LFA in order to identify issues, prioritise them, derive improvement measures and implement improvement projects. Additionally, there is no research on QFD application in A&E. This paper bridges these gaps. Moreover, very little has been written on the Maltese health care system. Therefore, this study contributes demonstration of quality of emergency care in Malta.

Assembly accuracy analysis for small components with a planar surface in large-scale metrology

Large-scale mechanical products, such as aircraft and rockets, consist of large numbers of small components, which introduce additional difficulty for assembly accuracy and error estimation. Planar surfaces as key product characteristics are usually utilised for positioning small components in the assembly process. This paper focuses on assembly accuracy analysis of small components with planar surfaces in large-scale volume products. To evaluate the accuracy of the assembly system, an error propagation model for measurement error and fixture error is proposed, based on the assumption that all errors are normally distributed. In this model, the general coordinate vector is adopted to represent the position of the components. The error transmission functions are simplified into a linear model, and the coordinates of the reference points are composed by theoretical value and random error. The installation of a Head-Up Display is taken as an example to analyse the assembly error of small components based on the propagation model. The result shows that the final coordination accuracy is mainly determined by measurement error of the planar surface in small components. To reduce the uncertainty of the plane measurement, an evaluation index of measurement strategy is presented. This index reflects the distribution of the sampling point set and can be calculated by an inertia moment matrix. Finally, a practical application is introduced for validating the evaluation index.

How do engineering students develop practical competencies during a period of industrial placement? - Students' perceptions

This paper explores engineering students' perceptions of developing practical competencies as experienced in their industrial placements. In addition, it discusses the criticisms in the literature on Problem Based Learning, Project Based Learning and Conceive-Design-Implement-Operate in relation to the evaluation of effective learning and teaching during placements. The paper goes on to discuss a study which examines how undergraduate engineering students develop practical competencies during their industrial placements. A phenomenological research approach is adopted using in-depth interviews and document analysis. The research findings from this PhD study will contribute to the knowledge, theory and practice for the students, the industries and the institutions of higher education as students' practical competencies are developed and graduate employability rises. In conclusion, this study explores students' experiences of developing practical competencies during industrial placements. Hence, the study should be able to contribute to a set of evidence-based guidelines for higher education institutions and industry.

Predicting practical benefits of dynamic asset ratings of 33kv distribution transformers

This paper reports potential benefits around dynamic thermal rating prediction of primary transformers within Western Power Distribution (WPD) managed Project FALCON (Flexible Approaches to Low Carbon Optimised Networks). Details of the thermal modelling, parameter optimisation and results validation are presented with asset and environmental data (measured and day/week-ahead forecast) which are used for determining dynamic ampacity. Detailed analysis of ratings and benefits and confidence in ability to accurately predict dynamic ratings are presented. Investigating the effect of sustained ONAN rating compared to a dynamic rating shows that there is scope to increase sustained ratings under ONAN operating conditions by up to 10% higher between December and March with a high degree of confidence. However, under high ambient temperature conditions this dynamic rating may also reduce in the summer months.

Advanced predictive-analysis-based decision support for collaborative logistics networks

Purpose – The purpose of this paper is to examine challenges and potential of big data in heterogeneous business networks and relate these to an implemented logistics solution. Design/methodology/approach – The paper establishes an overview of challenges and opportunities of current significance in the area of big data, specifically in the context of transparency and processes in heterogeneous enterprise networks. Within this context, the paper presents how existing components and purpose-driven research were combined for a solution implemented in a nationwide network for less-than-truckload consignments. Findings – Aside from providing an extended overview of today’s big data situation, the findings have shown that technical means and methods available today can comprise a feasible process transparency solution in a large heterogeneous network where legacy practices, reporting lags and incomplete data exist, yet processes are sensitive to inadequate policy changes. Practical implications – The means introduced in the paper were found to be of utility value in improving process efficiency, transparency and planning in logistics networks. The particular system design choices in the presented solution allow an incremental introduction or evolution of resource handling practices, incorporating existing fragmentary, unstructured or tacit knowledge of experienced personnel into the theoretically founded overall concept. Originality/value – The paper extends previous high-level view on the potential of big data, and presents new applied research and development results in a logistics application.

Better queue management in a busy public hospital of a developing country without appointment system::an application using data envelopment analysis

Queuing is a key efficiency criterion in any service industry, including Healthcare. Almost all queue management studies are dedicated to improving an existing Appointment System. In developing countries such as Pakistan, there are no Appointment Systems for outpatients, resulting in excessive wait times. Additionally, excessive overloading, limited resources and cumbersome procedures lead to over-whelming queues. Despite numerous Healthcare applications, Data Envelopment Analysis (DEA) has not been applied for queue assessment. The current study aims to extend DEA modelling and demonstrate its usefulness by evaluating the queue system of a busy public hospital in a developing country, Pakistan, where all outpatients are walk-in; along with construction of a dynamic framework dedicated towards the implementation of the model. The inadequate allocation of doctors/personnel was observed as the most critical issue for long queues. Hence, the Queuing-DEA model has been developed such that it determines the ‘required’ number of doctors/personnel. The results indicated that given extensive wait times or length of queue, or both, led to high target values for doctors/personnel. Hence, this crucial information allows the administrators to ensure optimal staff utilization and controlling the queue pre-emptively, minimizing wait times. The dynamic framework constructed, specifically targets practical implementation of the Queuing-DEA model in resource-poor public hospitals of developing countries such as Pakistan; to continuously monitor rapidly changing queue situation and display latest required personnel. Consequently, the wait times of subsequent patients can be minimized, along with dynamic staff scheduling in the absence of appointments. This dynamic framework has been designed in Excel, requiring minimal training and work for users and automatic update features, with complex technical aspects running in the background. The proposed model and the dynamic framework has the potential to be applied in similar public hospitals, even in other developing countries, where appointment systems for outpatients are non-existent.

An analysis and comparison of commonly available United Kingdom prescribing resources

Background and objective: Safe prescribing requires accurate and practical information about drugs. Our objective was to measure the utility of current sources of prescribing guidance when used to inform practical prescribing decisions, and to compare current sources of prescribing guidance in the UK with idealized prescribing guidance. Methods: We developed 25 clinical scenarios. Two independent assessors rated and ranked the performance of five common sources of prescribing guidance in the UK when used to answer the clinical scenarios. A third adjudicator facilitated review of any disparities. An idealized list of contents for prescribing guidance was developed and sent for comments to academics and users of prescribing guidance. Following consultation an operational check was used to assess compliance with the idealized criteria. The main outcome measures were relative utility in answering the clinical scenarios and compliance with the idealized prescribing guidance. Results: Current sources of prescribing guidance used in the UK differ in their utility, when measured using clinical scenarios. The British National Formulary (BNF) and EMIS LV were the best performing sources in terms of both ranking [mean rank 1·24 and 2·20] and rating [%excellent or adequate 100% and 72%]. Current sources differed in the extent to which they fulfilled criteria for ideal prescribing guidance, but the BNF, and EMIS LV to a lesser extent, closely matched the criteria. Discussion: We have demonstrated how clinical scenarios can be used to assess prescribing guidance resources. Producers of prescribing guidance documents should consider our idealized template. Prescribers require high-quality information to support their practice. Conclusion: Our test was helpful in distinguishing between prescribing resources. Producers of prescribing guidance should consider the utility of their products to end-users, particularly in those more complex areas where prescribers may need most support. Existing UK prescribing guidance resources differ in their ability to provide assistance to prescribers. © 2010 Blackwell Publishing Ltd.

Continuous quality improvement in a Maltese hospital using logical framework analysis

Purpose: The purpose of this paper is to present the application of logical framework analysis (LFA) for implementing continuous quality improvement (CQI) across multiple settings in a tertiary care hospital. Design/methodology/approach: This study adopts a multiple case study approach. LFA is implemented within three diverse settings, namely, intensive care unit, surgical ward, and acute in-patient psychiatric ward. First, problem trees are developed in order to determine the root causes of quality issues, specific to the three settings. Second, objective trees are formed suggesting solutions to the quality issues. Third, project plan template using logical framework (LOGFRAME) is created for each setting. Findings: This study shows substantial improvement in quality across the three settings. LFA proved to be effective to analyse quality issues and suggest improvement measures objectively. Research limitations/implications: This paper applies LFA in specific, albeit, diverse settings in one hospital. For validation purposes, it would be ideal to analyse in other settings within the same hospital, as well as in several hospitals. It also adopts a bottom-up approach when this can be triangulated with other sources of data. Practical implications: LFA enables top management to obtain an integrated view of performance. It also provides a basis for further quantitative research on quality management through the identification of key performance indicators and facilitates the development of a business case for improvement. Originality/value: LFA is a novel approach for the implementation of CQI programs. Although LFA has been used extensively for project development to source funds from development banks, its application in quality improvement within healthcare projects is scant.