2,387 research outputs found

    Managing bottlenecks in the perioperative setting: Optimizing patient care and reducing costs.

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    Bottlenecks limit the maximum output of a system and indicate operational congestion points in process management. Bottlenecks also affect perioperative care and include dimensions such as infrastructure, architectural design and limitations, inefficient equipment and material supply chains, communication-related limitations on the flow of information, and patient- or staff-related factors. Improvement of workflow is, therefore, becoming a priority in most healthcare settings. We provide an overview of bottleneck management in the perioperative setting and introduce dimensions, including aligned strategic decision-making, tactical planning, and operational adjustments

    Y2K Interruption: Can the Doomsday Scenario Be Averted?

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    The management philosophy until recent years has been to replace the workers with computers, which are available 24 hours a day, need no benefits, no insurance and never complain. But as the year 2000 approached, along with it came the fear of the millennium bug, generally known as Y2K, and the computers threatened to strike!!!! Y2K, though an abbreviation of year 2000, generally refers to the computer glitches which are associated with the year 2000. Computer companies, in order to save memory and money, adopted a voluntary standard in the beginning of the computer era that all computers automatically convert any year designated by two numbers such as 99 into 1999 by adding the digits 19. This saved enormous amount of memory, and thus money, because large databases containing birth dates or other dates only needed to contain the last two digits such as 65 or 86. But it also created a built in flaw that could make the computers inoperable from January 2000. The problem is that most of these old computers are programmed to convert 00 (for the year 2000) into 1900 and not 2000. The trouble could therefore, arise when the systems had to deal with dates outside the 1900s. In 2000, for example a programme that calculates the age of a person born in 1965 will subtract 65 from 00 and get -65. The problem is most acute in mainframe systems, but that does not mean PCs, UNIX and other computing environments are trouble free. Any computer system that relies on date calculations must be tested because the Y2K or the millennium bug arises because of a potential for “date discontinuity” which occurs when the time expressed by a system, or any of its components, does not move in consonance with real time. Though attention has been focused on the potential problems linked with change from 1999 to 2000, date discontinuity may occur at other times in and around this period.

    Development of a robust and resilient Supply Chain System for selected companies in Gauteng

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    Abstract: These days, in the extremely competitive nature of business, nearly every big business has to reap the benefits of investing in improvements of its supply chain. The beginning of the upgrades is considered together with the examination concerning profits and most organisations have addressed measures that a supply chain execution and monitor changes in order to drive the benefits of their business. While execution estimation is basic, most organisations either measure excessively or pay little attention to supply chain. Different weaknesses may incorporate; an excessive number of measurements, disconnected measurements, clashing measurements, obsolete measurements, temperamental information, and absence of possession, among others. Some organisations measure incorrect variables in their pursuit of their objectives. This is detrimental to the realisation of these objectives and this affects the organisation. Framework estimations lead to improved framework. "Estimation is the initial step that prompts control and in the long run to progress. In the event that you can't gauge something, you can't get it. On the off chance that you can't get it, you can't control it. On the off chance that you can't control it, you can't improve it" (Harrington, 2012)...M.Ing. (Quality and Operations Management

    Smart manufacturing scheduling: A literature review

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    [EN] Within the scheduling framework, the potential of digital twin (DT) technology, based on virtualisation and intelligent algorithms to simulate and optimise manufacturing, enables an interaction with processes and modifies their course of action in time synchrony in the event of disruptive events. This is a valuable capability for automating scheduling and confers it autonomy. Automatic and autonomous scheduling management can be encouraged by promoting the elimination of disruptions due to the appearance of defects, regardless of their origin. Hence the zero-defect manufacturing (ZDM) management model oriented towards zero-disturbance and zero-disruption objectives has barely been studied. Both strategies combine the optimisation of production processes by implementing DTs and promoting ZDM objectives to facilitate the modelling of automatic and autonomous scheduling systems. In this context, this particular vision of the scheduling process is called smart manufacturing scheduling (SMS). The aim of this paper is to review the existing scientific literature on the scheduling problem that considers the DT technology approach and the ZDM model to achieve self-management and reduce or eliminate the need for human intervention. Specifically, 68 research articles were identified and analysed. The main results of this paper are to: (i) find methodological trends to approach SMS models, where three trends were identified; i.e. using DT technology and the ZDM model, utilising other enabling digital technologies and incorporating inherent SMS capabilities into scheduling; (ii) present the main SMS alignment axes of each methodological trend; (iii) provide a map to classify the literature that comes the closest to the SMS concept; (iv) discuss the main findings and research gaps identified by this study. Finally, managerial implications and opportunities for further research are identified.This work was supported by the Spanish Ministry of Science, Innovation and Universities project entitled 'Optimisation of zero-defects production technologies enabling supply chains 4.0 (CADS4.0) ' (RTI2018-101344-B-I00) , the European Union H2020 research and innovation programme with grant agreement No. 825631 "Zero Defect Manufacturing Platform (ZDMP) " and the European Union H2020 research and innovation programme with agreement No. 958205 "In-dustrial Data Services for Quality Control in Smart Manufacturing (i4Q) ".Serrano-Ruiz, JC.; Mula, J.; Poler, R. (2021). Smart manufacturing scheduling: A literature review. Journal of Manufacturing Systems. 61:265-287. https://doi.org/10.1016/j.jmsy.2021.09.0112652876

    Proposition of a method for stochastic analysis of value streams

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    This article aims at proposing a method to stochastically analyze values streams taking into consideration the effect of critical uncertainty sources on lead time. The proposed method combines value stream mapping (VSM) and Monte Carlo simulation to identify improvement opportunities. To illustrate this approach, we carried out a case study in the special nutrition value stream of a Brazilian public hospital. Results show that the proposed method allows the identification of improvement opportunities that would not be considered in the classical deterministic VSM approach. Further, the integration of the stochastic analysis enables the determination of a more realistic lead time, which supports a more assertive planning and scheduling of the value stream. The proposed method addresses a fundamental gap in traditional VSM without adding much complexity to the analysis procedure, which is a common practical issue in previous works that integrated other stochastic methods into VSM

    Supply chain management in after sales and subcontract manufacturing processes : Case study: Metso Minerals

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    Quality of products and services has an important aspect in manufacturing industry. One of the best practices to ensure cost savings in manufacturing industry’s total costs without reducing product’s or service’s quality is achieved by enhancing supply chain management. Supply chain management targets to enhance operations via procurement and logistics actions. Procurement targets to react product’s stock out situations as soon as possible and cost effectively when lo-gistics responsibility is to ensure transport and warehousing the goods. Case company’s supply chain management development has become more needed in after sales and subcontract manufacturing processes since work to these areas have been increased due to increase of demand. These two processes are heavily dependent of effective supply chain man-agement. Operative procurement should be able to react increased demand of goods in as pro-active as possible when logistics must be able to ensure inventory levels and goods dispatching as proactive as possible, so production and product dispatching doesn’t postpone. This thesis purpose is to recognize problems and development targets case company’s after-sales and subcontract manufacturing processes supply chain management area. Thesis’ theory is based on literature and topical scientific articles which deals with procurement, logistics and operational excellence. Empirical study is based to theory of these topics which is implemented with interviews and brainstorms with departments that are associated to after sales and sub-contract manufacturing processes. From these processes, flowcharts are implemented to rep-resent current statuses of these process. From emergence problems of these processes, these flowcharts are developed such as these should be based on this thesis. As results of this thesis problems that have occurred from these processes has been mapped and from occurred problems development solutions are presented to case company for free usage and for possible future research. Development solutions included concrete actions, pro-cess development ideas, implementation of new IT-systems and enhancing the communication platforms

    Retail logistics in the UK: past, present and future

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    Purpose: The purpose of this paper is to provide an overview of the logistical transformation of British retailing over the last three decades and to discuss likely challenges that face logistics managers in the future Design/Approach: Reviews the key works on retail logistics, including the research undertaken by the authors over the last 20 years. Findings: Illustrates how retailers have control of the supply chain in the UK drawing upon examples from both the grocery and fashion sectors. Challenges for the future include macro-environment issues such as climate change and recession in addition to improvements in existing in operations with regard to e-fulfilment and implementation of technologies such as RFID. Originality/Value: This paper provides one of the few contributions to appraise the research undertaken on retail logistics in the UK over the last 20-30 year

    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

    Operation Warp Speed: Projects responding to the COVID-19 pandemic

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    The 2020 COVID-19 pandemic has profound socio-economic consequences. Extraordinary times call for extraordinary measures, so this paper focuses on radical changes to accepted practice in project organizing in response. In particular, we focus on schedule compression to deliver outputs to mitigate the immediate impact of the pandemic on health. In the spirit of engaged scholarship, which is problem-driven rather than theory-driven, we address directly the evidence of what happened in two empirical vignettes and one more substantial case study – the CoronavirusUY app; emergency field hospitals; and vaccine development. We then suggest the implications for project management theory in discussion
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