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PurposeThe COVID-19 pandemic is considered a major disruptive event of this decade, raising unforeseen socio-economic implications worldwide. This novel virus has increased the influx of patients in hospitals, and healthcare organisations are facing unprecedented constraints in their operations to deal with increased demand and pressed capacity. Thus, this article evaluates the impact of the COVID-19 pandemic on healthcare systems' demand, resources and capacity and provides research directions.Design/methodology/approachThis is a viewpoint article and uses timely information on healthcare operations from both scholars and managers, published by diverse sources during the COVID-19 outbreak.FindingsThe authors discuss the focus on “flattening the curve of infection” as a measure to protect healthcare, delay the impact of increased demand and reorientate healthcare supply chain practices. Furthermore, the authors evaluate the role of lean practices on managing demand and capacity and improving quality across healthcare operations and supply chain. Finally, the authors suggest research directions on modern operational issues that emerged during this pandemic, such as discussions around the sustainability of lean post-pandemic, “just in time” practices, inventory trade-offs and lack of organisational responsiveness during untenable events.Originality/valueIn this article, the authors provide a contemporary assessment of the implications of the COVID-19 pandemic on healthcare operations, underscoring main economic and operational elements that can be affected, such as unforeseen demand, resources and capacity shortage. Therefore, the authors assess that healthcare organisations, practitioners and governments have to anticipate operational and economic impacts and, ultimately, to reassess their plans to deal with such adverse events.

Purpose – Recent literature emphasizes the application of lean manufacturing practices to food processing industries in order to improve operational efficiency and productivity. Only a very limited number of studies have focused on the implementation of lean manufacturing practices within small and medium-sized enterprises (SMEs) operating in the food sector. The majority of these studies used the case study method and concentrated on individual lean manufacturing techniques geared towards resolving efficiency issues. This paper aims to analyze the status of the lean manufacturing practices and their benefits and barriers among European food processing SMEs. Design/methodology/approach – A structured questionnaire was developed to collect data. A total of 35 SMEs' representatives, mostly CEOs and operations managers, participated in the survey. The study investigated the role of two control variables in lean implementation: size of the company and country of origin. Findings – The findings show that lean manufacturing practice deployment in food processing SMEs is generally low and still evolving. However, some lean manufacturing practices are more prevalent than others; e.g. flow, pull and statistical process control are not widely used by the food processing SMEs, whereas total productive maintenance, employee involvement, and customer association are more widespread. The key barriers encountered by food SMEs in the implementation of lean manufacturing practices result from the special characteristics of the food sector, such as highly perishable products, complicated processing, extremely variable raw materials, recipes and unpredictable demand. In addition, lack of knowledge and resources makes it difficult for food processing SMEs to embark on the lean journey. Originality/value – The gap in the literature regarding the application of lean manufacturing in the food sector is identified and addressed in this study. The originality of this paper lies in analyzing the current status of the use of lean manufacturing practices among food SMEs in Europe and identifying potential barriers.

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this paper is to demonstrate the vital linkage between six sigma and statistical thinking. The paper also explains the key characteristics required for statistical thinking and some of the common barriers in the implementation of the key principles of statistical thinking. Design/methodology/approach -The objectives of the paper have been achieved in several ways. The paper provides the key principles of statistical thinking and then discusses the possible reasons for lack of statistical thinking in modern organizations. The paper then illustrates the linkage between the statistical principles and six sigma. The tools and techniques of six sigma used within statistical thinking are also highlighted in the paper. Findings -The key findings of this work include the relationship between the two key powerful methodologies: six sigma and statistical thinking, reasons for lack of applications of statistical thinking in organizations, the future role of managers and engineers in companies with regard to statistical thinking era and the commonalities in the application of tools and techniques between these two methodologies.Research limitations/implications -The paper needs more justification through surveys and case examples and this will be the future step of this study. In fact, one of the co-authors is currently conducting a survey in the UK organizations to investigate the relationship between statistical thinking and six sigma. Practical implications -The paper is very practical in nature and it does yield a great value to those people who are currently embarking on six sigma program, especially at senior manager and executive levels. Originality/value -Very little is published in the field of statistical thinking in the UK academic world. In fact, there is a cognitive gap in this field and this paper certainly forms a good platform for further research that will enable to bridge the gap.

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