Assessing to what extent smart manufacturing builds on lean principles

This study explores to what extent the adoption and performance of smart manufacturing technologies builds on the adoption of lean principles. Primary explorative survey data on the level of adoption of smart manufacturing technologies and lean principles and various operational performance outcomes were collected from a set of Dutch manufacturers and analysed using Cluster Analysis, ANOVA, and Necessary Condition Analysis (NCA). The Cluster Analysis shows that while lean is also applied without smart (“lean-only” companies), smart technologies are mostly applied in conjunction with lean (“lean and smart” companies), suggesting that the presence of lean principles is necessary for smart implementation. A third group of companies shows a low use of lean and smart (“non-adopters”). The NCAs further specify the extent of this necessity by showing that all individual smart manufacturing technologies used in our construct require presence of lean principles, with MES systems having the strongest dependency. Performance wise, lean-only and lean and smart companies have comparable superior performance compared to non-adopters when considering an aggregate operational performance measure using the dimensions of quality, delivery, flexibility and cost. When analysed separately, the aggregate level results remain true for quality and delivery performance. However, for flexibility, the superiority of lean-only companies is more apparent, while for cost, lean and smart companies are superior. This shows that implementing smart requires lean, but lean may suffice depending on the specific performance objectives strived for

Segmenting citizens according to their self-sufficiency:A tool for local government

Identifying subgroups of citizens with varying levels of self-sufficiency in a large local or regional population provides local government with essential input for providing matching services and well-grounded spending of health and well-being expenditures. This paper identifies self-sufficiency levels of citizens by segmenting a broad adult population. We used data from a citizen survey based on a randomly selected response group containing questions on a wide range of topics, including finances, health and living conditions, and complemented these data with registration data, including information on housing type and household composition. We conducted a latent class cluster analysis using six indicators: perception of making ends meet, perceived health, quality of life, self-efficacy, access to social support and social network. High scores on the indicators translate to high levels of self-sufficiency. We used a biased-adjusted, three-step approach to characterise the segments. Six meaningful segments were identified and labelled as ‘highly self-sufficient,’ ‘self-sufficient – medium access to social support,’ ‘self-sufficient – medium self-efficacy,’ ‘moderately self-sufficient – low self-efficacy &amp; high social network,’ ‘moderately self-sufficient – low access to social support/social network &amp; high perceived health’ and ‘not self-sufficient.’ At a macro level, perception of making ends meet and quality of life have discriminating value in assessing self-sufficiency. For a more detailed differentiation between groups with similar levels of self-sufficiency, perceived health, self-efficacy, access to social support, and social network are valuable indicators. Overall, this study introduces a comprehensive tool to assess self-sufficiency in larger groups of citizens by using a parsimonious number of indicators. Local and regional governments can apply this tool to effectively assess the self-sufficiency levels of their population and signal potentially vulnerable groups. In this way, the tool makes the identification of self-sufficiency levels of larger populations more feasible and more efficient and can be widely adopted in different contexts.</p

The moderating role of JIT links with suppliers on the relationship between lean manufacturing and operational performances

Abstract. Lean manufacturing impacts several operational performances. The usefulness of JIT links with suppliers is also well known. However, literature lacks strong empirical evidences to exhibit the relationship between lean manufacturing, operational performances and JIT linkages with suppliers. This paper aims to investigate this relationship. A questionnaire-based international survey was used to obtain the main purpose of the research. Data from a sample of 200 companies were analyzed using a multiple regression methodology. The analysis demonstrates that JIT linkages with suppliers positively moderate the impact of lean manufacturing on punctuality, while the moderating effect is absent when considering efficiency and throughput time performance

The social benefits of kaizen initiatives in healthcare: an empirical study

AbstractPurpose – This paper aims to identify the most influential determinants of employees’ problem-solving capabilities and attitude towards kaizen initiatives in healthcare and clarify how determinants are related with these two social outcomes. Design/methodology/approach – Drawing on the input-process-outcome framework applied to kaizen initiatives, we distinguished determinants into input and process factors, and developed hypotheses on the direct effect of input and process factors on social outcomes, and the indirect effect of input factors on social outcomes through process factors. The hypotheses were tested through multiple regressions using data from 105 kaizen initiatives in two hospitals.Findings – Among the 14 determinants investigated, goal clarity, team autonomy, management support, goal difficulty and affective commitment to change are the most influential determinants of kaizen capabilities and/or employees’ attitude. Additionally, we found that goal clarity, goal difficulty, team autonomy and management support influence social outcomes directly and/or indirectly through affective commitment to change, internal processes and/or action orientation. Practical implications – Results guide healthcare practitioners in understanding how to set-up focused actions levering on specific determinants to positively influence social outcomes.Originality – This study provides an original contribution to the literature on kaizen initiatives in healthcare by empirically testing a comprehensive model of the relationship between kaizen initiatives determinants and social outcomes. Unlike previous studies, mostly anecdotal and focused on one or few determinants, this research adopted a holistic view by investigating the effect of a wide set of determinants on social outcomes through a systematic and quantitative approach

Towards a theory for lean implementation in supply networks

This paper aims to investigate the supply network (SN) characteristics affecting the extension of lean programmes to SN and the interactions between lean practices and these characteristics to understand how to create more favourable conditions for lean extension programmes. A multiple case study methodology is implemented to analyze different lean programmes in SNs and different contextual conditions in which they are implemented. Three different SNs have been analyzed to provide insights on the whole value stream of the Andalusian aeronautics SN. This study finds that there is a recursive influence between SN characteristics and lean practices, and explains how this interaction takes place. The choice of lean practices to adopt, their aim and implementation mode are influenced by the state of SN characteristics companies face at the beginning of the programme and the SN distance (i.e. number of SN echelons) between lean knowledge owners and recipients. This study explains also how lean practices can modify the state of SN characteristics and suggests managers a sequence of phases and sets of actions to use depending on the initial state of SN characteristics. \ua9 2016 Elsevier B.V. All rights reserved

A VLBI experiment using a remote atomic clock via a coherent fibre link

We describe a VLBI experiment in which, for the first time, the clock reference is delivered from a National Metrology Institute to a radio telescope using a coherent fibre link 550 km long. The experiment consisted of a 24-hours long geodetic campaign, performed by a network of European telescopes; in one of those (Medicina, Italy) the local clock was alternated with a signal generated from an optical comb slaved to a fibre-disseminated optical signal. The quality of the results obtained with this facility and with the local clock is similar: interferometric fringes were detected throughout the whole 24-hours period and it was possible to obtain a solution whose residuals are comparable to those obtained with the local clock. These results encourage further investigation of the ultimate VLBI performances achievable using fibre dissemination at the highest precision of state-of-the-art atomic clocks

National culture and operations management: a structured literature review

National culture has received a substantial amount of interest in the operations management literature. We present the first structured review of articles studying national culture in operations management. Our search returned 51 papers published in ten leading journals between 2000 and 2017. We sort and analyse the papers according to three focus areas of operations management (strategy, execution and improvement). We also analyse the papers according to whether they address the relevance of national culture, the impact of national culture or the actions managers can use to manage or mitigate the effects of national culture. We find that national culture appears as a relevant variable in all focus areas of operations management research but that the direction and strength of its impact remain undetermined. Only a handful of papers address how managers can actively deal with challenges related to national culture. We propose a research agenda and a guiding framework for future research.ISSN:0020-7543ISSN:1366-588

Vasculogenesis and Diabetic Erectile Dysfunction: How Relevant Is Glycemic Control?

Erectile dysfunction (ED) is a complication of diabetes, condition responsible for causing endothelial dysfunction (EDys) and hampering repair mechanisms. However, scarce information is available linking vasculogenesis mediated by Endothelial Progenitor Cells (EPCs) and diabetes-associated ED. Furthermore, it remains to be elucidated if glycemic control plays a role on EPCs functions, EPCs modulators, and penile vascular health. We evaluated the effects of diabetes and insulin therapy on bone marrow (BM) and circulating EPCs, testosterone, and systemic/penile Stromal Derived Factor-1 alpha (SDF-1) expression. Male Wistar rats were divided into groups: age-matched controls, 8-weeks streptozotocin-induced type 1 diabetics, and insulin-treated 8-weeks diabetics. EPCs were identified by flow cytometry for CD34/CD133/VEGFR2/CXCR4 antigens. Systemic SDF-1 and testosterone levels were evaluated by ELISA. Penile SDF-1 protein expression was assessed, in experimental and human diabetic cavernosal samples, by immunohistochemical techniques. Diabetic animals presented a reduction of BM-derived EPCs and an increase in putative circulating endothelial cells (CECs) sloughed from vessels wall. These alterations were rescued by insulin therapy. In addition, glycemic control promoted an increase in systemic testosterone and SDF-1 levels, which were significantly decreased in animals with diabetes. SDF-1 protein expression was reduced in experimental and human cavernosal diabetic samples, an effect prevented by insulin in treated animals. Insulin administration rescued the effects of diabetes on BM function, CECs levels, testosterone, and plasmatic/penile SDF-1 protein expression. This emphasizes the importance of glycemic control in the prevention of diabetes-induced systemic and penile EDys, by the amelioration of endothelial damage, and increase in protective pathways.European Society for Sexual Medicine (ESSM Award for Medical Research 2011), and by the Portuguese Society of Andrology (Professor Alexandre Moreira Award “Research in Sexual Medicine 2013”)info:eu-repo/semantics/publishedVersio

James Lind Alliance research priorities: What role do carbohydrates, fats and proteins have in the management of type 2 diabetes, and are there risks and benefits associated with particular approaches?

Aims To assess the role played by carbohydrates, fat and proteins in the management of Type 2 diabetes. Background Diabetes research tends to reflect the interests of academics or the pharmaceutical industry, rather than those of people living with Type 2 diabetes. The James Lind Alliance and Diabetes UK addressed this issue by defining the research priorities of people living with Type 2 diabetes. Three of the top 10 research priority questions focused on lifestyle. Methods A narrative review was undertaken with a structured search strategy using three databases. Search terms included the three macronutrients and Type 2 diabetes. No restrictions were placed on macronutrient quantity or length of study follow‐up. Outcomes included changes in HbA1c, body weight, insulin sensitivity and cardiovascular risk. Results There is no strong evidence that there is an optimal ratio of macronutrients for improving glycaemic control or reducing cardiovascular risk. Challenges included defining the independent effect of macronutrient manipulation and identifying the effects of macronutrients, independent of foods and dietary patterns. Extreme intakes of macronutrients may be associated with health risks. Conclusions It is challenging to formulate food‐based guidelines from studies based on macronutrient manipulation. Structured education should be offered to support individuals in discovering their optimal, individual dietary approach. Recommendations for dietary guidelines should be expressed in terms of foods and not macronutrients