REGRESSION ANALYSIS OF FACTORS IMPACTING PROBLEM SOLVING ENGAGEMENT WITHIN LEAN SYSTEMS IMPLEMENTATION

Organizations around the world have attempted to implement the concepts of the Toyota Production System (TPS), commonly referred to as Lean, with limited sustainable success. The central principles of TPS, continuous improvement and respect for people, are grounded in the Japanese values of Monozukuri and Hitozukuri. Monozukuri deals with creating or making a product, while Hitozukuri conveys the idea of developing people through learning. In order for organizations to adopt these values they must have a system that engages employees at all levels in applying problem solving to improve their work. This research uses organizational assessments obtained from a variety of organizations implementing the lean approach using the Monozukuri and Hitozukuri values, referred to as the True Lean System (TLS). This research uses an inductive research approach to identify and analyze factors that impact the use of problem solving within organizations implementing a TLS. First, the qualitative assessment data is studied using textual analysis to identify themes impacting TLS. This analysis identified three topics as the highest weighted themes: number of problem solving methods, standardization, and employee roles. This qualitative data is then transformed using an integrated design model to systematically code the information into quantitative numerical data. Finally, this data was analyzed statistically by logistic regression to identify the factors impacting the use of problem solving within these organizations. The results from the logistic regression suggest that the most successful problem solving organizations have established standards for work and training employees; as well as, a single problem solving method that all employees use when identifying and implementing continuous improvement ideas. Which leads to the conclusion, in order for an organization to sustain the concepts of TPS, there must be a focus on defining clear standardized work, training, and the implementation of a single problem solving method

The model area in successful lean transformation and scale modeling

The True Lean System Program at the University of Kentucky was created in 1994 to study how the development of the Toyota Production System (TPS) contributes to Toyota’s success. This increased understanding of Toyota’s experience would provide useful guidance to Western companies taking on the challenges of replicating Toyota’s success within their own organizations. The common struggle point shared by the companies who come to us is their inability to establish sustainable TPS-based Lean transformations throughout their organizations. Our work with these companies along with our study of Toyota’s own experience in bringing TPS to its own American operations has led to a belief that a major obstacle to adopting and implementing TPS into Western organizations is a lack of understanding of the essential motivational mechanisms embodied in TPS. It was these motivational factors that originally triggered the creativity and innovation of Toyota’s workforce in the context of Japanese culture. In bringing TPS to America, Fujio Cho recognized the need to pay attention to these same motivational factors with an American workforce, particularly in light of the fundamental cultural differences between Toyota’s Japanese workforce and their Western counterparts. This TPS-cultural difference needs to be clearly understood to enable Western companies to successfully transform into TPS-driven organizations. TPS is based on a learning-by-doing methodology which has lent itself to a transformative process in which organizations apply the principles of TPS and kaizen in a limited model area before spreading to the entire organization. The result of this application produces a series of incremental (often small) improvements which may be explained with the help of scale modeling principles and methodology. This paper is our first attempt to show the direct applicability of scale modeling concepts/methodology to the model area approach for successful TPS transformation, including the role of standardization and problem solving in Kaizen. i.e. continuous improvement. Our new findings show promising first steps for organizations and TPS/Lean researchers facing the twin challenges of establishing sustainable TPS/Lean models and subsequently scaling them up along a pathway defined by the needs to achieve full scale TPS/Lean organizational transformations

Reforming Tennessee\u27s Rules of Appellate Procedure: Separate Notices of Appeal...Or Not?

When it comes to the filing of separate notices of appeal, Tennessee’s Rules of Appellate Procedure contain an internal inconsistency. This inconsistency, which has yielded two conflicting and incompatible lines of judicial interpretation, undermines the coherence of Tennessee appellate procedure and poses unfairly contradictory outcomes for similarly situated appellants. To resolve this inconsistency, Tennessee’s Rules of Appellate Procedure should be reformed

Exploiting semantic and public prior information in MonoSLAM

In this paper, we propose a method to use semantic information to improve the use of map priors in a sparse, feature-based MonoSLAM system. To incorporate the priors, the features in the prior and SLAM maps must be associated with one another. Most existing systems build a map using SLAM and then align it with the prior map. However, this approach assumes that the local map is accurate, and the majority of the features within it can be constrained by the prior. We use the intuition that many prior maps are created to provide semantic information. Therefore, valid associations only exist if the features in the SLAM map arise from the same kind of semantic object as the prior map. Using this intuition, we extend ORB-SLAM2 using an open source pre-trained semantic segmentation network (DeepLabV3+) to incorporate prior information from Open Street Map building footprint data. We show that the amount of drift, before loop closing, is significantly smaller than that for original ORB-SLAM2. Furthermore, we show that when ORB-SLAM2 is used as a prior-aided visual odometry system, the tracking accuracy is equal to or better than the full ORB-SLAM2 system without the need for global mapping or loop closure

Association between workplace absenteeism and alcohol use disorder from the National Survey on Drug Use and Health, 2015-2019

Importance: Alcohol use disorder (AUD) is common and associated with increased morbidity. The degree to which AUD currently factors into workplace absenteeism needs further characterization in the US. Objective: To examine the association between AUD and workplace absenteeism in a nationally representative sample. Design, Setting, and Participants: This cross-sectional study used data from a nationally representative sample of noninstitutionalized US residents from the 2015-2019 National Survey on Drug Use and Health to examine the association of AUD with workplace absenteeism. Eligible respondents were aged 18 years and older who reported full-time employment. Data were analyzed from March to September 2021. Main Outcomes and Measures: Primary outcomes were markers of workplace absenteeism as defined by the number of days missed from work because of illness or injury and days skipped from work in the last 30 days. Descriptive statistics, prevalence ratios, and logistic regression analyses were performed to assess the association between AUD and absenteeism. Results: A total of 110 701 adults aged 18 years and older reported current full-time employment (58 948 [53.2%] men, 51 753 [46.8%] women; 12 776 [11.5%] Black, 18 096 [16.3%] Hispanic, and 69 506 [62.8%] White respondents). Weighted prevalence of AUD in this sample of working adults was 9.3% (95% CI, 9.0%-9.5%); 6.2% (95% CI, 6.0%-6.4%) of respondents met criteria for mild AUD, 1.9% (95% CI, 1.7%-2.0%) for moderate AUD, and 1.2% (95% CI, 1.1%-1.3%) for severe AUD. Mean days missed from work annually increased in a stepwise fashion with increasing AUD severity (no AUD, 13.0 days; 95% CI, 12.7-13.2 days; mild AUD, 17.7 days; 95% CI, 16.4-19.1 days; moderate AUD, 23.6 days; 95% CI, 21.5-25.7 days; severe AUD, 32.3 days; 95% CI, 27.5-37.0 days). People with AUD represented 9.3% of the full-time workforce and contributed to 14.1% of total reported workplace absences. Conclusions and Relevance: In this cross-sectional study, AUD was disproportionately associated with an increased prevalence of workplace absenteeism, with individuals with AUD contributing over 232 million missed workdays annually. These results provide economic incentive for increased investment in AUD prevention and treatment, both for employers and policy makers

Arabidopsis uses two gluconeogenic gateways for organic acids to fuel seedling establishment.

Gluconeogenesis is a fundamental metabolic process that allows organisms to make sugars from non-carbohydrate stores such as lipids and protein. In eukaryotes only one gluconeogenic route has been described from organic acid intermediates and this relies on the enzyme phosphoenolpyruvate carboxykinase (PCK). Here we show that two routes exist in Arabidopsis, and that the second uses pyruvate, orthophosphate dikinase (PPDK). Gluconeogenesis is critical to fuel the transition from seed to seedling. Arabidopsis pck1 and ppdk mutants are compromised in seed-storage reserve mobilization and seedling establishment. Radiolabelling studies show that PCK predominantly allows sugars to be made from dicarboxylic acids, which are products of lipid breakdown. However, PPDK also allows sugars to be made from pyruvate, which is a major product of protein breakdown. We propose that both routes have been evolutionarily conserved in plants because, while PCK expends less energy, PPDK is twice as efficient at recovering carbon from pyruvate.We thank the Biotechnology and Biology Sciences Research Council for funding J.M.H. (P18931 and a studentship to B.P.W.) and P.J.E. (BB/G009724/1 and BB/K002147/1), the Isaac Newton Trust and the Max-Planck Gesellschaft for funding and ATC for a CASE studentship to H.M.A.This is the final published version. It first appeared at http://www.nature.com/ncomms/2015/150410/ncomms7659/full/ncomms7659.html