Academic literature on the topic '869999 Manufacturing not elsewhere classified'
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Journal articles on the topic "869999 Manufacturing not elsewhere classified"
Garanča, Biruta. "THE STRUCTURE OF MACHINERY BUILDING IN LATGALE AND PERSPECTIVES OF ITS DEVELOPMENT." Latgale National Economy Research 1, no. 1 (June 30, 2009): 53. http://dx.doi.org/10.17770/lner2009vol1.1.1761.
Full textFarid, A. M., and D. C. McFarlane. "Production degrees of freedom as manufacturing system reconfiguration potential measures." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 222, no. 10 (October 1, 2008): 1301–14. http://dx.doi.org/10.1243/09544054jem1056.
Full textSendyka, Karolina Zofia. "Risk Management in Creating Value for Companies in the Example of 32 ie: Other Manufacturing, Subclass 32.99 - Manufacture of Other Products, Not Elsewhere Classified." SSRN Electronic Journal, 2013. http://dx.doi.org/10.2139/ssrn.2239028.
Full textHoch, Aleš, and Pavel Šlézar. "Středověká kožedělná produkce z Litovle." Přehled výzkumů, December 27, 2021, 109–26. http://dx.doi.org/10.47382/pv0622-05.
Full textDissertations / Theses on the topic "869999 Manufacturing not elsewhere classified"
Zhang, Yumin. "Virtual manufacturing - a study of some important issues relating to the transformation of traditional manufacturing organisations." Thesis, Aston University, 2006. http://publications.aston.ac.uk/12237/.
Full text(6661946), Jeremy Wayne Byrd. "PREDICTIVE MAINTENANCE PRACTICES & STANDARDS." 2019.
Find full textManufacturing today is increasingly competitive and every organization around the world is looking to decrease costs. Maintenance costs generated an average of 28 percent of total manufacturing cost at the Fiat Chrysler Indiana Transmission Plant One in 2018, states Rex White, Head Maintenance Planner at Fiat Chrysler (2018). Maintenance is a supportive expense that does not generate a profit, which makes maintenance an attractive expense to decrease. The cost for components and skilled labor are expensive; however, the downtime is exponentially a larger threat to production cost. One most feared scenarios within a manufacturing facility is that one machine takes down several as it backs up the entire production process.
The three major types of maintenance are reactive, preventive, and
predictive. The research project focused on applying the principles of
predictive maintenance to the Fiat Chrysler facilities in Indiana. The report explains
the techniques and principles of applying the technology currently available to
reduce downtime and maintenance cost. The predictive maintenance procedures and
saving are compared with reactive and preventive methods to determine a value
of return. The report will examine the benefits of using the Internet of Things
technology to create autonomous self-diagnosing smart machines. The predictive
maintenance plan in this research illustration will introduce health check
equipment used to implement longer lasting machine components. In conclusion,
the project developed out an entire predictive maintenance plan to reduce
downtime and maintenance costs.
(5930069), Mariana Moreno. "Robust Process Monitoring for Continuous Pharmaceutical Manufacturing." Thesis, 2019.
Find full textRobust process monitoring in real-time is a challenge for Continuous Pharmaceutical Manufacturing. Sensors and models have been developed to help to make process monitoring more robust, but they still need to be integrated in real-time to produce reliable estimates of the true state of the process. Dealing with random and gross errors in the process measurements in a systematic way is a potential solution. In this work, we present such a systematic framework, which for a given sensor network and measurement uncertainties will predict the most likely state of the process. As a result, real-time process decisions, whether for process control, exceptional events management or process optimization can be based on the most reliable estimate of the process state.
Data reconciliation (DR) and gross error detection (GED) have been developed to accomplish robust process monitoring. DR and GED mitigate the effects of random measurement errors and non-random sensor malfunctions. This methodology has been used for decades in other industries (i.e., Oil and Gas), but it has yet to be applied to the Pharmaceutical Industry. Steady-state data reconciliation (SSDR) is the simplest forms of DR but offers the benefits of short computational times. However, it requires the sensor network to be redundant (i.e., the number of measurements has to be greater than the degrees of freedom).
In this dissertation, the SSDR framework is defined and implemented it in two different continuous tableting lines: direct compression and dry granulation. The results for two pilot plant scales via continuous direct compression tableting line are reported in this work. The two pilot plants had different equipment and sensor configurations. The results for the dry granulation continuous tableting line studies were also reported on a pilot-plant scale in an end-to-end operation. New measurements for the dry granulation continuous tableting line are also proposed in this work.
A comparison is made for the model-based DR approach (SSDR-M) and the purely data-driven approach (SSDR-D) based on the use of principal component constructions. If the process is linear or mildly nonlinear, SSDR-M and SSDR-D give comparable results for the variables estimation and GED. The reconciled measurement values generate using SSDR-M satisfy the model equations and can be used together with the model to estimate unmeasured variables. However, in the presence of nonlinearities, the SSDR-M and SSDR-D will differ. SSDR successfully estimates the real state of the process in the presence of gross errors, as long as steady-state is maintained and the redundancy requirement is met. Gross errors are also detected whether using SSDR-M or SSDR-D.
(8740677), Jeremy Sickmiller. "REAL TIME CONTROL OF MANUFACTURING UTILIZING A MANUFACTURING EXECUTION SYSTEM (MES)." Thesis, 2020.
Find full textHsiao, Yu-Chan Helen. "A framework of university incubator to maintain financial sustainability." 2008. http://arrow.unisa.edu.au:8081/1959.8/42985.
Full text(8065976), Kanjakha Pal. "Process Intensification Enabling Direct Compression for Pharmaceutical Manufacturing: From Spherical Agglomeration to Precise Control of Co-Agglomeration." Thesis, 2019.
Find full text(8625390), Na Li. "HOW TO IMPLEMENT LEAN SIX SIGMA IN CHINA: A CASE STUDY OF THREE MANUFACTURING COMPANIES." Thesis, 2020.
Find full textLean Six Sigma (LSS) has been implemented worldwide for many years and has been successful in many organizations. Eloot, Huang, and Lehnich (2013) noted that achieving manufacturing excellence by using LSS was an opportunity for many companies. Liker and Rother (2011) pointed out that only 2% of companies successfully achieved the desired results with Lean plans.
The presented dissertation identified the critical success factors of LSS implementation for Chinese manufacturing companies and explored the challenges occurring during the LSS transformations. The objectives of this dissertation were:
i. to understand how the employee training process for LSS can be designed using total quality management (TQM) adoption in private manufacturing organizations in China;
ii. to understand how LSS practices can be adopted successfully in SMEs in China;
iii. to examine and explore the critical success factors (CSF) of LSS implementation;
iv. to discuss the challenges occurring during LSS transformation.
Objective (i) was achieved through a descriptive single case study. This case study showed how to apply a design for Six Sigma methodology (DMADV) for staff training in quality management tools in a private organization in China. The author also discussed the problems occurring during the Six Sigma project and explored how organizational culture impacted Six Sigma implementation. Objective (ii) was achieved through a detailed descriptive single case study which recorded how LSS practices were adopted successfully in a SME-VTCL in China using DMAIC methodology. Survey data was collected to identify and explore the critical success factors of LSS implementation in SMEs, by querying the voice of top, middle, and frontline management, as well as frontline workers of these companies. Objectives (iii) and (iv) were realized utilizing descriptive, exploratory, and multi-case studies designed to gather and analyze observational and interview data. The resulting interview data, and the key factors for successful LSS transformation of these three companies were discussed from the perspective of senior management and LSS promoters within the companies. Based on interview data and the Lean iceberg model, a new LSS transformation model was proposed. The author also developed 6 propositions based on the findings from the interviews.
In summary, the results of this study provided value and references for LSS practitioners to expand the body of knowledge on the strategies used to implement LSS successfully inside organizations. The findings of this research may potentially lead more Chinese organizations to successfully adopt LSS to provide customers with high-quality products. The three LSS implementation cases described critical success factors (CSFs) and challenges that occurred during the transformation, may improve the success rate of implementation, help enterprises achieve the desired results through LSS, and enhance the sustainability of LSS implementations.
(9726050), Onkar V. Sonur. "The Sustainable Manufacturing System Design Decomposition." Thesis, 2020.
Find full text(9136835), Sungbum Jun. "SCHEDULING AND CONTROL WITH MACHINE LEARNING IN MANUFACTURING SYSTEMS." Thesis, 2020.
Find full text(11150631), Soho Yun. "THE EFFECT OF INTERACTIVE MANUFACTURING WORK INSTRUCTIONS AS A TRAINING TOOL FOR ASSEMBLY TASKS." Thesis, 2021.
Find full textIn the current manufacturing industry, static work instructions (WI) are still widely used for manufacturing assembly training and they lack the dynamic information that interactive work instructions can offer. Augmented Reality (AR) training systems are receiving increasing interest in the scientific community, but there is a limited amount of research done on the long-term effect of the AR training systems compared with static training systems. This thesis study was done to investigate if interactive WIs such as AR WIs and 3D PDF WIs have an advantage on training efficiency and knowledge sustainability compared to static paper WIs. Within an experiment, it was observed that there are no differences between the three training methods when it comes to training efficiency, but AR WI proved to be more effective in sustaining the user’s long-term recall precision than paper WI.
Books on the topic "869999 Manufacturing not elsewhere classified"
Britain, Great. Miscellaneous Manufacturing Not Elsewhere Classified. Stationery Office Books, 1996.
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