159 research outputs found

    Improving efficiency of material flows in an automotive assembly plant:A case study

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    This paper investigates the in-plant logistics processes in automotive manufacturing and specifically, the material flows between the storage facility, the production lines, and the internal returns area. The aim is to improve the efficiency of the plant by looking at the current material flows of the case study company. Qualitative and quantitative data was collected through interviews and personal observations and was analysed. Using discrete event-based simulation, the current material flows were investigated. Our analysis showed that in plant's internal returns area efficiency gains are possible by reducing traffic congestion. A solution with minor changes in the layout was proposed and tested which showed an increase in the capacity of the system and a reduction in delays

    Developing a ‘best practice’ supply chain performance and operational framework for dairy producers : a multiple case study analysis in Egypt

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    Supply chain management is based on the global concept, where different companies are connected worldwide. Moreover, supply chain performance management is a growing field of study, especially for perishable products. Egyptian dairy producers have suffered a significant drop in their production since 2011, due to the poor quality and quantity of raw milk, changes in governmental regulations, hazard risks, and volatility in consumer taste. This has threatened meeting the increasing market demand for dairy products. Extant literature highlighted the following gaps: limited research assessing the dairy producers' supply chain performance in a detailed view from an operational perspective, and lack of specific performance measures especially in Egypt as a developing country in this context. Therefore, this thesis introduces a best practice performance framework for dairy producers in Egypt to optimise and assess their performance, in terms of sustainable production of safe and secure dairy products to fulfil the Egyptian market demand. The research adopts three theories to explore and understand the research problem. The resource-based view theory is used to identify the operational capabilities and the critical control points within the production. Network theory is used to explore the risks in the wider dairy supply chain and identify solutions to overcome them. Last, the institutional theory is used to understand the pressures faced by dairy producers, all of which will help to develop a best practice performance framework by following the mimetic approach to contrast and compile the performance measures of the top six large Egyptian dairy producers. That is achieved by referring to the Supply Chain Operation Reference (SCOR) model key attributes as a guide. This research utilises a narrative literature review to consolidate the background knowledge on the dairy sector’s operations and supply chain risks. Then, classify the different operational and supply chain performance measures and models to provide future research directions based on the research gaps identified. A multiple case-study methodology is adopted in this study. It follows a qualitative research approach across two phases by using the NVivo12 software to conduct a thematic analysis. Firstly, two observations and seventeen exploratory semi structured interviews with key informants within six case studies were conducted to explore the operational capabilities, critical control points and performance measures and the risks affecting large Egyptian dairy producers. Secondly, two focus groups were held with a diversified sample of practitioners, government officials, and suppliers to validate the results of the first phase. The key findings of the research highlighted that those dairy producers performing on a satisfactory level qualify them to adopt the SCOR model to enhance their performance and imitate the dairy producers’ practices in developed countries. The following key areas were addressed: 1) identifying the current operational capabilities needed to produce milk products, defining and classifying new critical control points for the production of UHT milk and pasteurised milk which up until now remains vague and not well determined, 2) each producer has designed their performance measures which has left them exposed to vulnerabilities and limits their optimum utilisation of their capabilities and to be able to continually improve. Thus, standardisation of performance measures and sharing of best practice, with a detailed classification for applicability is key for Egyptian dairy producers. A major contribution of this research is the development of an operational and supply chain performance-based best practice framework, based on SCOR, to guide the dairy producers through optimising and enhancing their production of safe and secure dairy products. Further, the research has identified three new SCOR attributes: a) suppliers’ improvement and traceability, b) health and safety environment, and c) employees’ morale, also seven new critical control points and capabilities. Besides, utilising the qualitative approach to provide in-depth within and cross-case exploration of six large dairy producers’ current state. This research also recommends that the government should leverage the small farmers within a milk hub, with a tracking system, to close the gap of raw milk supply shortage to Egypt. That addresses the shortcomings in the extant literature, which will significantly contribute to enhancing the performance and sustainability of the Egyptian dairy industry as a whole, and consequently will benefit the Egyptian economy. That sets the base for future researchers to utilise the proposed best practice for a wider scope of dairy producers with similar characteristics

    Nursing Staff Optimizing Elder Care

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    Older adults, 65 years and older, make up more than 50% of the acute care patient population at a Southwest Michigan critical access hospital. This DNP capstone project was implemented for nursing staff members in a small rural hospital to assist with improving knowledge and perceptions of caring for older adults. Realized outcomes from this educational initiative were not meant to create new information but instead to focus on clinical issues and apply best practice for the purpose of determining evidence based solutions. The project’s design implemented to assess outcomes was a quantitative, descriptive, quasi-experimental, non-randomized approach. The plan included a pre and post intervention survey using the Geriatric Institutional Assessment Profile (GIAP) from the Nurses Improving Care for Healthsystem Elders (NICHE) Program. Education was provided after the pre intervention survey was completed via classroom presentations, hand-outs, and informational emails. The GIAP survey was repeated post educational intervention. Thirty nursing staff members participated in the pre intervention survey and seventeen completed the post intervention survey. Independent samples t-test on measures related to knowledge and attitudes revealed compelling percent changes representing statistical significance between pre and post GIAP survey responses with a p value of ˂ .05 in all areas measured

    Pertanika Journal of Social Sciences & Humanities

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