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This paper gives a review of the finite element techniques (FE) applied in the area of material processing. The latest trends in metal forming, non‐metal forming and powder metallurgy are briefly discussed. The range of applications of finite elements on the subjects is extremely wide and cannot be presented in a single paper; therefore the aim of the paper is to give FE users only an encyclopaedic view of the different possibilities that exist today in the various fields mentioned above. An appendix included at the end of the paper presents a bibliography on finite element applications in material processing for the last five years, and more than 1100 references are listed.

The purpose of this paper is to systematically investigate the patient flow and waiting time problems in hospital emergency departments (EDs) from an integrated voice of customer (VOC) and voice of process (VOP) perspective and to propose a new lean framework for ED process.

A survey was conducted to better understand patients' perceptions of ED services, lean tools such as process mapping and A3 problem-solving sheets were used to identify hidden process wastes and root-cause analysis was performed to determine the reasons of long waiting time in ED.

The results indicate that long waiting times in ED are major concerns for patients and affect the quality of ED services. It was revealed that limited bed capacity, unavailability of necessary staff, layout of ED, lack of understanding among patients about the nature of emergency services are main causes of delay. Addressing these issues using lean tools, integrated with the VOC and VOP perspectives can lead to improved patient flow, higher patient satisfaction and improvement in ED capacity. A future value stream map is proposed to streamline the ED activities and minimize waiting times.

The research involves a relatively small sample from a single case study. The proposed approach will enable the ED administrators to avoid the ED overcrowding and streamline the entire ED process.

This research identified ED quality issues from the integration of VOC and VOP perspective and suggested appropriate lean tools to overcome these problems. This process improvement approach will enable the ED administrators to improve productivity and performance of hospitals.

Learning management systems (LMS) provide detailed information about the processes through event-logs. Process and related data-mining approaches can reveal valuable information from these files to help teachers and executives to monitor and manage their online learning processes. In this regard, the purpose of this paper is to present an overview of the current direction of the literature on educational data mining, and an application framework to analyze the educational data provided by the Moodle LMS.

The paper presents a framework to provide a decision support through the approaches existing in process and data-mining fields for analyzing the event-log data gathered from LMS platforms. In this framework, latent class analysis (LCA) and sequential pattern mining approaches were used to understand the general patterns; heuristic and fuzzy approaches were performed for process mining to obtain the workflows and statistics; finally, social-network analysis was conducted to discover the collaborations.

The analyses conducted in the study give clues for the process performance of the course during a semester by indicating exceptional situations, clarifying the activity flows, understanding the main process flow and revealing the students’ interactions. Findings also show that using the preliminary data analyses before process mining steps is also beneficial to understand the general pattern and expose the irregular ones.

The study highlights the benefits of analyzing event-log files of LMSs to improve the quality of online educational processes through a case study based on Moodle event-logs. The application framework covers preliminary analyses such as LCA before the use of process mining algorithms to reveal the exceptional situations.

Continuous process flow is a prerequisite of lean systems as it helps to reduce throughput times, improve quality, minimize operational costs, and shorten delivery times. The purpose of this paper is to empirically demonstrate the application of a methodology that combines a time‐based study, discrete‐event simulation and the trial and error method to enable a leaner process through more efficient line balancing and more effective flow for a park homes production process. This method is replicable across other contexts and industry settings.

The paper reviews the UK park homes production industry and, specifically, a major factory that builds these homes. It compares the factory method to traditional on‐site construction methods. An empirical study of production times was carried out to collect data in order to analyse the current workload distribution and the process flow performance of the park homes production process. Finally, seven discrete‐event simulation models were developed in order to test different scenarios and define the optimum line balance for every section of the production process.

By combining time study, discrete‐event simulation and trial and error methods, the workload distribution and process flow performance of the park homes production line were analysed and improved. A reduction of between 1.82 and 36.32 percent in balancing losses in some sections of the process was achieved.

This paper supports current knowledge on process flow improvement and line balancing by exploring and analysing these issues in a real‐life context. It can be used to guide production management practitioners in their selection of methods and demonstrates how they are exploited when seeking to improve process flow, efficiency and line balancing of production operations.

The study uses a real industrial application to demonstrate how the methodological combination and deployment of process flow improvement strategies, such as time study, simulation, and trial and error, can help organisations achieve process flow improvements and, as a consequence, a leaner production process.

The application of lean and quality improvement methods is very common in process improvement projects at organisational levels. The purpose of this research is to assess the adoption of Lean Six Sigma™ approaches for addressing a complex process-related issue in the coal industry.

The sticky coal problem was investigated from the perspective of process-related issues. Issues were addressed using a blended Lean value stream of supply chain interfaces and waste minimisation through the Six Sigma™ DMAIC problem-solving approach, taking into consideration cross-organisational processes.

It was found that the tendency to “solve the problem” at the receiving location without communication to the upstream was, and is still, a common practice that led to the main problem of downstream issues. The application of DMAIC Six Sigma™ helped to address the broader problem. The overall operations were improved significantly, showing the reduction of sticky coal/wagon hang-up in the downstream coal handling terminal.

The Lean Six Sigma approaches were adopted using DMAIC across cross-organisational supply chain processes. However, blending Lean and Six Sigma methods needs to be empirically tested across other sectors.

The proposed methodology, using a framework of Lean Six Sigma approaches, could be used to guide practitioners in addressing similar complex and recurring issues in the manufacturing sector.

This research introduces a novel approach to process analysis, selection and contextualised improvement using a combination of Lean Six Sigma™ tools, techniques and methodologies sustained within a supply chain with certified ISO 9001 quality management systems.

The purpose of this paper is the analysis of reasons to involve financial service providers (FSPs) in the integrated management of supply chain flows through supply chain finance (SCF) practices. In addition, service requirements are derived for FSPs in order to respond to company needs related to SCF practices.

The selected methodology represents a multi-method approach. First, a survey with 62 companies from Switzerland and ten expert interviews were applied to analyze company needs. Second, the study was complemented with a review of gray press, online offers and 11 expert interviews on the service offer of FSPs for managing supply chain flows.

The results derive company needs for an integrated management of supply chain flows. The company needs are matched with available service offer of FSPs. Based on this match quality gaps are identified and service requirements are derived. The results describe initial measures to close the quality gaps.

This research primarily focuses on financial flows related to the working capital of companies thereby neglecting fixed assets.

The results provide companies with a structured process to analyze the value added of FSPs. FSPs can use the results to better match their service offer with company needs.

This research contributes to research on SCF by developing a structured process for analyzing the company needs for SCF practices as well as the value added of FSPs in offering these practices.

The paper reviews the systems movement and suggests that systems engineering is required for successful problem solving and the redesign of manufacturing systems. A case study is outlined to indicate the application of systems engineering in manufacturing systems analysis. The urgent requirement for a new management team to gain insight into internal manufacturing processes and perceived problems provided a major driving force behind the project. The analysis revealed that the perceived problem of lack of automated handling within the assembly area was just one factor leading to poor manufacturing performance. System complexity and a lack of internal systems integration was highlighted; attributable to a number of causes categorised as organisational and attitudinal as well as technological.

To present the findings of the research on the use of concurrent engineering in the development of polymeric based composite automotive clutch pedal. It covers the use of various IT such as expert system, FEA, CAD, mould flow and rapid prototyping in order to carry out various activities such as material selection, total design, design analysis and mould flow analysis.

The work started with the conceptual design of an automotive composite clutch pedal. Various design guides related to composite materials were followed. The final concept of the composite clutch pedal is developed using Pro/Engineer solid modelling package. Design analysis was carried out using LUSAS to study the optimum pedal lever cross section and the optimum rib patterns in pedal lever. Mould flow analysis was investigated to predict the behaviour of materials inside the injection moulding machine and the results are compared with experimental values. Rapid prototyping models were developed based on two techniques namely 3D printer and stereolithography and they are compared in terms of quality, time and cost.

In this study, the integrated IT tools enable the designer to design and manufacture automotive an composite clutch pedal at higher quality and faster time compared to a metal counterpart. By adopting composite design guides, weight saving from implementing composite materials in the clutch pedal is achievable. It is found that an expert system for material selection enables designer to select the suitable composite material for the clutch pedal by considering various parameters such as strength, modulus, density, manufacturing and economic constraints. Rapid prototyping models enable the designer to communicate effectively their design to other parties early in the design process. Mould flow analysis is carried out to predict the behaviour of material inside the mould and to design the optimum moulding parameters such as fill time, fill temperature and gate location.

In this study, the originality lies in the integration of various IT tools in the development of composite clutch pedal. The designer is exposed to various design and manufacturing issues from the implementation of such approach early in the design process.

Accident emergency hospital (AEH) services require cohesive, collective, uninterrupted streamlined medical diagnostic and satisfactory patient care. Medical service efficiency in AEHs is difficult to quantify due to the clinical complexity involved in treatment involving various units, patient conditions, changes in contemporary medical practices and technological developments. This paper aims to show how to measure efficiency by eliminating waste in AEH system, identify service failure points, identify benchmark medical services, identify patient throughput time and measure treatment time when AEH services are nonstandard. The applications shown in this paper are distinct in particular; we the authors use nontraditional and systems engineering approach to collect data as the traditional data collection is difficult in real-time AEHs.

The authors show in this study how to measure overall patient treatment time from admission to discharge. Project evaluation and review technique (PERT) captures the inconsistencies involved in measuring treatment time, including measures of variability. The irregular treatment time and complexity involved in the emergency health-care services are usual. The research methodology illustrates how the time function map and service blueprint can improve value-added time in AEHs and benchmark services between similar AEHs.

The inconsistency in treatment time between AEH in public and private hospital is found to be in ratio of 1:20. The private hospital suggests variety of treatments and long stays for recovery. The PERT computations show that the average time a patient remains in a government AEH is about 10 days. The standard deviation of the AEH treatment time is about 0.043 per cent of the expected patient care time. The inconsistency is not significant as compared to the expected value. In 89.64 per cent of the cases, a patient may be discharged in less than 10 days’ time. The patient on average is discharged in 13 days in a private hospital.

The patient treatment time of an AEH is evaluated with PERT project management approach to account for inconsistencies in treatment time. This research makes new contributions in benchmarking AEH throughput time, identify medical service failure points with service blueprint, measure the efficiency with time function map and collect patient data with nontraditional methods. The inherent inconsistencies in a clinical process are identified by PERT analysis with the variance as a characteristic of the treatment time. Improvement of variability implies cost reduction in AEH system.

The purpose of this paper is to provide a comprehensive description, justification and modus operandi for implementation of cellular operations within healthcare delivery supply chains. The methodology outlined has a sound theoretical basis, has been proven in a wide range of market sectors (including hospitals) and hence qualifies for consideration as a contribution to “new management theory”.

Approach is based on the well established management‐by‐projects (MBP) methodology for analysis, design and effective implementation of change. There is detailed coverage of the five‐step MBP programme with specific applications in healthcare. The importance of “people involvement” as a core requirement is demonstrated via the set‐up of task forces to design and operate such cells. These groups integrate cognate activities so as to provide seamless patient flow within the healthcare delivery process. MBP is derived from a systems perspective. This in turn is concerned with maintaining quality, reducing uncertainty, smooth transference, synchronisation, schedule adherence, and minimisation of throughput times.

The outputs from case studies executed in a large UK teaching hospital confirm the substantial benefits accruing from cellular operation. In both materials supplies and urology admission processes significant improvements result form adoption of the MBP change methodology. This includes substantive 50 per cent reduction in patient throughput times, plus 25 per cent increase in bed utilisation. Measurable cost benefits are achieved in materials supply, especially via simplification of ordering systems.

The healthcare applications demonstrate the applicability of MBP within this specialised scenario. However, the solutions depend on the innovatory capability of the relevant task forces who execute the projects. Since these necessarily include participation by coal‐face “players”, i.e. doctors, nurses, support staff, etc. advised by internal “change experts” the solutions adopted are shaped to be the best and most appropriate “local” schema.

It is essential that task forces be properly constituted, well trained, well advised, and actively practice the plan‐do‐check‐act cyclic route of well‐tested improvement. “Train‐Do” is the key. However, in healthcare especially, the “Elephant Must Be Eaten in Bite Sized Chunks”. In other words the organisation needs visible progressive change, unit‐by‐unit, thus avoiding saturation of scarce resources.

Brings together the MBP methodology and cellular organisational concepts into an integrated, sustainable, systems based approach to the analysis, design and implementation of effective change.