Academic literature on the topic 'Lean operational performance'

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Journal articles on the topic "Lean operational performance"

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Hernandez-Matias, Juan Carlos, Jared R. Ocampo, Antonio Hidalgo, and Antonio Vizan. "Lean manufacturing and operational performance." Journal of Manufacturing Technology Management 31, no. 2 (2019): 217–35. http://dx.doi.org/10.1108/jmtm-04-2019-0140.

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Purpose Lean manufacturing (LM) constitutes a consolidated alternative that has been successfully used to increase company effectiveness and performance. However, different studies have shown that many companies that attempt to integrate LM into their manufacturing operations fail in their efforts. Recent studies have shown that soft practices are a key factor for a successful LM implementation. The purpose of this paper is to analyze an in-depth review of the different human-related lean practices (HRLP) referenced in the recent literature and to identify which of them are more relevant to a successful LM implementation. Design/methodology/approach The findings presented in this paper are based on the results of a study about the situation of LM in Spain carried out with lean production managers and frontline supervisors of 202 Spanish companies with a high percent (74 percent) of international firms with factories in different countries. The implemented methodology uses factor analysis and structural equation modeling. Findings The results shows statistical evidence of the relationship between management’s HRLP (fostering a lean culture, providing support to lean), employees’ HRLP (employee involvement and employee empowerment) and operational performance (OP) (waste reduction and flexibility). Practical implications The results have academic and practical relevance for clarifying lean phenomena, helping managers to define a sequence in which a company should implement HRLP to successfully implement LM and increase its OP. Originality/value This study fills a research gap by exploring the existing causal relationships between a greater number of variables, both dependent and independent in relation to human factors in LM implementations.
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Birkie, Seyoum Eshetu, Paolo Trucco, and Matti Kaulio. "Sustaining performance under operational turbulence." International Journal of Lean Six Sigma 8, no. 4 (2017): 457–81. http://dx.doi.org/10.1108/ijlss-12-2016-0077.

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Purpose Many studies have found that Lean practices provide better performance in a stable business environment. However, there is limited information on how Lean practices influence performance gains (defined in this paper as improvement and sustenance of performance) in an uncertain (complex and dynamic) environment. This study aims to investigate how the implementation of Lean helps to sustain performance in such context. Design/methodology/approach The study draws on an in-depth investigation of two capital goods manufacturing engineer-to-order (ETO) cases, in which performance sustenance is discussed in relation to the extent, locus and extensiveness of implemented Lean practice bundles. Findings Findings indicate that a higher extent of Lean practices’ implementation, covering both shop floor and transactional processes, increases the possibility of performance sustenance in ETO. Furthermore, a coherent approach in the pre-, during- and post-implementation phases of the Lean change process is required to foster performance sustenance. Lean practices in ETO are modified to suit context change from repetitive manufacturing. Research limitations/implications This study proposes performance sustenance as a performance measure in a highly uncertain context, such as ETO, as a single reference cannot effectively measure performance improvements over diverse orders. From this perspective, appropriate Lean implementation contributes towards building capabilities for flexibly and proactively managing uncertain circumstances. Practical implication Even companies operating in highly uncertain (complex and dynamic) contexts may benefit from significant performance gains, thanks to the Lean implementation. This can be achieved by a balanced implementation of practices at shop floor and transactional processes, and their mindful customisations. Originality/value The study compares Lean implementation in ETO with that of high-volume–low-variety systems established in the literature. It qualitatively discusses how Lean implementation as an overarching effort both in shop floor and transactional processes leads to better sustenance of achieved performance improvements in shop floor under high uncertainty.
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Maldonado-Guzmán, Gonzalo. "Do Lean production and lean supply chain practices really improve operational performance?" Tec Empresarial 19, no. 2 (2025): 39–52. https://doi.org/10.18845/te.v19i2.7904.

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Lean production practices and the implementation of lean thinking in the supply chain are not only aimed at reducing businesses' waste, but also at improving operational performance. This study aims to explore the integration of lean production into operational performance through lean supply chain. To this end, a survey was conducted on a sample of 460 manufacturing firms. The results show that lean production has a positive impact on operational performance, as does lean supply chain. Similarly, lean supply chain has a positive impact on operational performance, and also acts as a catalyst of the relationship between lean production and operational performance. In this context, the findings allow us to conclude that lean production improves the operational performance of manufacturing firms; however, when lean supply chain acts as a mediating variable, it significantly improves the company's operational performance.
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Chavez, Roberto, Cristina Gimenez, Brian Fynes, Frank Wiengarten, and Wantao Yu. "Internal lean practices and operational performance." International Journal of Operations & Production Management 33, no. 5 (2013): 562–88. http://dx.doi.org/10.1108/01443571311322724.

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Amare, Tsegaye, Balkeshwar Singh, Guteta Kabeta, Moera Gutu Jiru, and Hirpa G. Lemu. "Structural Equation Modeling of Relationships Among Lean Operational, Financial Performance, and Customer Satisfaction." Indian Journal Of Science And Technology 17, no. 15 (2024): 1606–20. http://dx.doi.org/10.17485/ijst/v17i15.3016.

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Objectives: The challenges of implementing a lean business system can be solved by Structural Equation Modeling. In this research, the link between lean operational, financial performance, and customer satisfaction has been investigated in the Akaki Basic Metal Industry in Ethiopia. Methods: A lean operational performance that met the needs of the industry was identified by conducting a structural survey questionnaire to collect feedback data from experts. The model was developed including 28 variables from the experts in the industry. The collected responses were tested for reliability and validity using Cronbach's alpha, composite reliability, convergent, and discriminant validity. Findings: From the use of Analysis of Moments and Structures (AMOS-SEM), the results confirmed that C.R. > 1.96, p < 0.001, and p < 0.05 on quality and delivery. This shows a significant positive direct effect on customer satisfaction by 25.8% on quality, 24.9% on delivery, and 10.3% on cost. Novelty: Even though LM has become a fundamental aspect of industrial manufacturing processes, lack of understanding (knowledge) and practicing how to implement the positive impact on lean operational, financial performance, and customer satisfaction are still not sufficiently exploited particularly in developing countries. This research adds values to the practical use of the concept by examining the relationship among lean operational, financial performance, and customer satisfaction within basic metal manufacturing industry in Ethiopia. In addition to this, the findings have demonstrated improved organizational performance through structural equation modeling. It also helps leaders to focus more on training employees on quality issues and developing an awareness of quality achievement as a core value in the industry. Keywords: Confirmatory factor analysis, Exploratory factor analysis, Lean operational performance, Structural equation modeling, Customer satisfaction
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Uhrin, Ákos, Sebastian Bruque-Cámara, and José Moyano-Fuentes. "Lean production, workforce development and operational performance." Management Decision 55, no. 1 (2017): 103–18. http://dx.doi.org/10.1108/md-05-2016-0281.

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Purpose The purpose of this paper is to deepen the knowledge about the role of human resources in a lean environment and its impact on operational performance. Design/methodology/approach For this reason, present work investigates the influence of workforce development on the relationship between lean production and operational performance. To test the hypotheses of the paper, a questionnaire was developed and tested on a sample of first tier suppliers in the Spanish automotive industry. Findings Results highlight the indispensable role of workforce development in the implementation phase of lean production and draw upon the insight that advancements in implementation of lean production correspond to an increase in knowledgeable employees which in turn facilitates the attainment of improved operational performance outcomes. Originality/value The research reaffirm that lean is an integrated socio-technical system oriented to efficiency.
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Ofoegbu, Wilson Chukwuemeka, and Valentine Omorse Efeh. "Lean Production and Operational Performance of Manufacturing Firms in Rivers State." GPH-International Journal of Social Science and Humanities Research 05, no. 12 (2023): 30–43. https://doi.org/10.5281/zenodo.7514893.

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This study examined the relationship between lean production and the operational performance of manufacturing firms in Rivers State. The population involved all the sixty-two (62)manufacturing firms in Rivers State with a sample size of four (4) selected manufacturing firms using the Krejcie and Morgan sample size determination and simple proportion to arrive at the respondents for each Manufacturing firm. Data were collected using a structured questionnaire and interview protocol. Structural Equation Modelling (SEM) with the aid of the Analysis of Moment Structure (AMOS) was chosen to test the hypothetical model while the qualitative data was organised, coded, and analysed using the NVivo 11. The result showed that there is a significant and positive relationship between lean production and the operational performance of manufacturing firms in Rivers State. Therefore, concluded that lean production is a critical and highly imperative factor in sustaining business operations and performance and thus recommended that management of the manufacturing firms should develop procedures and policies to which employees will adhere and ensure routine checks on equipment and service processes.
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Suroso, Edy, and Allicia Deana Santosa. "Effects Of Lean Manufacturing Practices On Operational Performance." Journal of Research in Social Science and Humanities 4, no. 2 (2024): 174–79. http://dx.doi.org/10.47679/jrssh.v4i1.121.

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Lean manufacturing is a concept of process improvement in production management which focuses on waste elimination. This paper explores relationships between lean manufacturing practices and operational performance. Using data collected from 55 manufacturing companies in Tasikmalaya city. Lean manufacturing were measured by five dimensions: production flow management, customer focus, process management, workforce management, and supplier management. Operational performance comprises four dimensions: cost, quality, lead-time, and flexibility. The findings are that all dimensions of lean manufacturing are significantly related to on operational performance. Production flow management has a higher level of significance in large enterprises compared with SMEs, whereas for customer focus there is a higher level of significance in SMEs compared with large enterprises. Process management, supplier management and workforce management have much lower level of significance for both SMEs and large enterprises.
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Alkhaldi, Rasha Zuhair, and Ayman Bahjat Abdallah. "Lean management and operational performance in health care." International Journal of Productivity and Performance Management 69, no. 1 (2019): 1–21. http://dx.doi.org/10.1108/ijppm-09-2018-0342.

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Purpose The purpose of this paper is to examine the impact of lean management (LM) on operational performance (OP) in the context of health care in Jordanian private hospitals. LM is measured using four bundles: total quality management (TQM), human resource management (HRM), just-in-time system (JIT) and total productive maintenance (TPM). The study also investigates the effects of OP dimensions on hospitals’ business performance (BP). Design/methodology/approach The study is based on survey data collected from 260 respondents from 25 private hospitals in Jordan. Validity and reliability analyses were performed using SPSS and Amos, and the study hypotheses were tested using structural equation modeling. Findings The study found that the TQM bundle affects quality performance positively, but does not affect efficiency and accessibility performances, while the HRM bundle positively affects all OP dimensions. Furthermore, the JIT bundle positively contributes to both efficiency and accessibility performances, while the TPM bundle positively influences quality and accessibility performances. Moreover, the results have demonstrated that OP dimensions of quality and accessibility significantly and positively affect hospitals’ BP. Originality/value This study is one of the first to adapt the four lean bundles popularized in the manufacturing sector and apply them in a health-care context. It examines the effects of the four lean bundles on hospitals’ OP in terms of efficiency, quality and accessibility. In addition, the study demonstrates the role of OP dimensions in improving private hospitals’ BP.
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Zhou, Steve Bin, and Fiona Xiaoying Ji. "Impact of Lean Supply Chain Management on Operational Performance." International Journal of Business Analytics 2, no. 3 (2015): 1–19. http://dx.doi.org/10.4018/ijban.2015070101.

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Lean is a systematic approach to identify and eliminate non-value-added activities or waste through continuous improvement process. While traditional lean manufacturing focuses on the activities within a single organization, lean supply chain consists of the same processes, but it views these processes over multiple organizations. This research addresses an important yet under-studied area – lean supply chain management in small organizations, especially small manufacturing firms. The study examines driving factors of lean supply chain management, focus of lean supply chain practices, and major supply chain and information technology solutions applied in these companies. Through a research survey, the study has provided important insights into the current status of lean supply chain practices and related implementation issues in small businesses.
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Dissertations / Theses on the topic "Lean operational performance"

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Maware, Catherine. "Evaluation of the impact of Lean Manufacturing implementation on operational performance in Zimbabwean industries." Thesis, University of Pretoria, 2019. http://hdl.handle.net/2263/72175.

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The rapid rate of increase in competition among the manufacturing industries has caused many organizations to continuously seek improvement in the quality of the products they manufacture to meet and exceed customer expectations. Organizations are under pressure to minimize the production costs to offer competitive prices for their products. The success story of Toyota Motor Company in implementing Lean Manufacturing (LM) has inspired many organizations around the world to adopt LM in order to improve their operational performance. There are, however, mixed results on the impact of LM on operational performance. Some studies have shown that its implementation increases operational performance while others have shown little to no improvement or even negative results. Institutional and contingency theories may provide insight into some of these contradictions and give a perception of why the implementation of LM has yielded different results on operational performance. The institutional theory states that organizations mimic the actions and practices of other organizations because of the pressure to remain competitive. Organizations in the developing countries also seem to have been imitating the Toyota Motor company that has been successful in implementing LM. On the other hand, the contingency theory states that corporations are organized according to external situations. Related to the contingency theory is the effect of Industry Clockspeed (IC). Some industries are transforming at a high speed while others are transforming at a low speed. The high IC industries are characterized by the quick development and release of new products, shorter development time and frequent changes in organizational structures. Low IC industries, however, manufacture products with a long life cycle, thus the products, processes and organizational structures for these industries change only after a long period. This study opines that the environment under which an organisation operates may affect the results of LM implementation process. The research was conducted in three parts and each of these parts is presented as chapters in this thesis. The first part (Chapter 4) gives a review and classifies the impact measurement models that have been used by various researchers to measure the success of implementing LM. These models can be classified as quantitative, qualitative, simulation-based and graphical measurement models. Pareto analysis is used to select the type of measurement model and Lean practices that are frequently used by researchers to develop Lean measurement models. The qualitative measurement model was preferred for evaluating the effect of implementing LM on operational performance because of its ability to use question structures that allow qualitative data collection for a rich analysis of opinion. With a proper structure, the questionnaire items can also be parsed and analyzed quantitatively with modern statistical techniques like Structural Equation Modelling. The Lean practices selected were Just In Time (JIT), Jidoka, People integration and Stability and standardization for building the model. This part concludes by developing a structural model that can be used to measure the impact of Lean implementation in industry, using Zimbabwean industry data. The second part (Chapter 5) evaluates the effect of implementing LM tools on operational performance across various industries in Zimbabwe. The major goal of this chapter was to develop an operational model (based on the lead from chapter 4) and test it in manufacturing organizations across various industries. A structured survey questionnaire was used for the collection of data in identified companies and 214 useful responses were obtained. The results of the study indicated that operational performance was improved by implementing the selected LM tools. The performance improvement variables that were significantly influenced were speed, flexibility and dependability. The third part (Chapter 6) analyzed the moderation effect of IC on the relationship between LM tools and operational performance. The industries grouped under low IC were pharmaceutical, agrochemicals, steel, automobile, timber production, battery, chemical and plastics. The high IC industries were food, beverage, electronics and garment. A structural equation model was proposed and investigated across the two groups. A structured survey questionnaire was used to collect empirical data from manufacturing companies. The data obtained from the responses was analysed using Smart PLS 3 and SPSS version 25. The results of the study showed that IC had a moderating effect on the relationship between LM practices and operational performance for both low and high IC industries. The last chapter summarises the findings, made recommendations and proposes directions for further research.<br>Thesis (PhD)--University of Pretoria, 2019.<br>Organization for Women in Science for the Developing World (OWSD)<br>Industrial and Systems Engineering<br>PhD<br>Unrestricted
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Neto, João Tiago da Silva Pardal. "Práticas Lean e de manufatura sustentável nas PMEs portuguesas." Master's thesis, Instituto Superior de Economia e Gestão, 2019. http://hdl.handle.net/10400.5/19142.

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Mestrado em Gestão e Estratégia Industrial<br>São vários os desafios que as empresas enfrentam nos dias de hoje. Além dos resultados operacionais comuns e transversais a todas as empresas, com o aumento da procura por produtos e serviços mais ecológicos, a degradação do meio ambiente e o cumprimento de regulamentações governamentais, existe a necessidade de implementar estratégias que sejam compatíveis com a preservação do meio ambiente, tornando as decisões operacionais cada vez mais complexas. Nesse sentido, a implementação de práticas lean e green de manufatura têm sido amplamente discutidas na literatura. Este estudo pretende avaliar o efeito destes dois tipos de práticas na performance operacional e ambiental. As práticas de manufatura sustentável analisadas foram as relacionadas com o desenvolvimento e design dos produtos, com os processos de produção, com a gestão ambiental da cadeia de abastecimento e com a gestão ambiental de fim de ciclo de vida dos produtos. As práticas Lean estudadas foram relacionadas com fornecedores, clientes, produção, produção puxada, fluxo continuo, setup, envolvimento dos empregados e manutenção preventiva. Neste caso, não foi avaliado o efeito individual de cada uma das práticas na performance. Foi igualmente avaliado o efeito da performance ambiental na performance operacional. O modelo conceptual proposto foi testado utilizando 426 respostas a um questionário aplicado online às PME portuguesas de manufatura. Os resultados obtidos demonstraram que as práticas lean, têm um efeito positivo e significativo na performance operacional. No entanto, o efeito destas práticas na performance ambiental não se mostrou significativo.<br>There are many challenges that companies face today. Beyond the common operational and transverse results to all companies, with an increase demand for greener products and services, environmental degradation and compliance with usage regulations, there is a need to implement environmentally friendly applications, making operational decisions increasingly complex. In this sense, an implementation of lean and green manufacturing practices have been widely discussed in the literature. This study proposes to evaluate the effect of these two types of practices in operational and environmental performances. The sustainable manufacturing practices analysed were related to sustainable product design and development, sustainable manufacturing process, sustainable supply chain management and sustainable end-of-life management. The Lean practices studied were related to suppliers, customers, pull practices, continuous flow, setup, statistical process control, employee involvement and preventive maintenance. In this case, the individual effect of each of the practices on performance was not evaluated. The effect of environmental performance on operational performance was also assessed. The proposed conceptual model was obtained from 426 responses to a questionnaire applied online to Portuguese SMEs. The results showed that lean manufacturing practices had a significant positive effect on operational performance. However, the effect of these practices on environmental performance was not significant.<br>info:eu-repo/semantics/publishedVersion
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Olsen, Eric Oscar. "Lean manufacturing management the relationship between practice and firm level financial performance /." Connect to this title online, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1086113492.

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Thesis (Ph. D.)--Ohio State University, 2004.<br>Title from first page of PDF file. Document formatted into pages; contains xvii, 220 p. : ill. (some col.). Advisor: Peter T. Ward, Dept. of Business Administration. Includes bibliographical references (p. 197-203).
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Vizcarra, Osben, Fernando Sotelo, Carlos Raymundo, and Francisco Dominguez. "Model for Improving Post-sales Processes Applying Lean Thinking to Reduce Vehicle Delivery Times at an Automotive Company." Springer Verlag, 2020. http://hdl.handle.net/10757/656136.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.<br>This paper proposes the application and implementation of the lean thinking methodology at a company dedicated to selling vehicles, spare parts, and post-sales services. For these purposes, tools such as process maps, flowcharts, indicators, system layout planning tools, and 5S implementation are used, supported by training sessions for process participants. As a result, customer complaints were reduced by 0.13% per month, and the number of work orders handled by the site increased by 0.38% per month. Moreover, a 0.32% increase in man/hour productivity was reported, leading to a 44.32% decrease in Duster vehicle delivery times.
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Badaire, Maeva. "From rapid prototyping to direct manufacturing : State-of-the-art and impacts on operational performance : The case of the automotive industry." Thesis, Umeå universitet, Företagsekonomi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-118052.

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Additive manufacturing is an industrial process, developed in the early 1980s and currently used in several industries such as the medical, aircraft and automotive industries. In the first place,additive manufacturing was mostly usedby manufacturing industries to produce prototypes, models and patterns. Nowadays, this technology can be used at any point in the lifecycle of a product from pre-production(rapid prototyping and rapid tooling) to production (direct manufacturing). This technology is especially adapted for the production of limited series of small and geometrically complex components.The purpose of this study is to identify howadditive manufacturing affects operational performance during the development and production phases, specifically in the case of the automotive industry.With this purpose in mind, I have collected primary and secondary data through a qualitative study using both in-depth semi-structured interviewsand archival records found on automotive companies’ websites. The objective of collecting multiple sources datawas to gain a reliable and comprehensive perception of the situation and understand the effects of additive manufacturing on operational performance, and more precisely on the seven production wastesdefined on lean practices, to be able to answer my research question. The data are analyzed using an inductive thematic analysis approach and testthe presupposition that emerged from the empirical findings. Through the analysis of the data collected, I came to the conclusion that additive manufacturing is mostly used during the prototyping phase and sometimes also used for rapid tooling. But it appears that this technology is only used for direct manufacturing in some specific niche markets such as luxury carmakers. Another interesting finding concerns the use of additive manufacturing for marketing purpose. Concerning operational performance, the impacts of additivemanufacturing remainlimited, and contrary to what some authors said, the use of this technology is still marginal in the automotive industry compared to traditional manufacturing.
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Oliveira, José Augusto de. "Relação entre as práticas de Produção mais Limpa e as de Produção Enxuta: estudos de casos múltiplos e survey sobre os impactos no desempenho ambiental, econômico e operacional da empresa." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/18/18156/tde-12012017-084020/.

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Os princípios e as práticas de Produção Enxuta e de Produção mais Limpa contribuem para a geração de valores com perspectivas diferentes. São valores focados respectivamente em sustentabilidade econômica e em sustentabilidade ambiental que, alcançados complementarmente podem contribuir para a satisfação dos stakeholders de forma mais sustentável. Estudos apresentam compatibilidades entre a Produção Enxuta e as diferentes abordagens de Sustentabilidade Ambiental, contudo, poucas pesquisas exploram empiricamente as relações entre estes constructos, mostrando uma lacuna a ser preenchida no meio acadêmico e empresarial. O objetivo deste trabalho foi identificar e analisar as relações entre as práticas de Produção mais Limpa e as práticas de Produção Enxuta e seus impactos no desempenho da empresa. Para este objetivo foi proposto a realização de uma pesquisa empírica baseada na triangulação entre dois métodos: estudos de caso múltiplos, contando com 6 (seis) estudos de casos; e uma pesquisa do tipo survey, realizada com 208 (duzentos e oito) indústrias de manufatura brasileiras. Observou-se que há sinergia e complementaridade entre as práticas de Produção mais Limpa e de Produção Enxuta e que estas, empregadas de forma combinada, maximizam o desempenho ambiental, operacional e econômico da empresa. Contudo, observou-se que o desempenho ambiental fomentado pelas práticas de Produção Enxuta é limitado aos aspectos ambientais de consumo de recursos e de geração de resíduos.<br>The Lean Production and Cleaner Production principles and practices contribute to the values generation with different perspectives. Values are focused respectively on economic sustainability and environmental sustainability, achieved complementarily can contribute to the satisfaction of the stakeholders in a more sustainable way. Studies presents compatibilities between Lean Production and the different Environmental Sustainability approaches, however, few researches have explore empirically the relationship between these constructs, showing a gap to be filled in academia and industry. The objective of this study was to identify and analyze the relationships between Cleaner Production and Lean Production practices and their impact on company performance. For this purpose, it was proposed the accomplishment of an empirical research based on triangulation between two methods: multiple cases studies, with six (6) case studies; and a survey research carried on 208 (two hundred and eight) of Brazilian manufacturing industries. It was noted that there is synergy and complementarity between production practices Cleaner and Lean Production and these, used in combination maximize environmental performance, operational and economic enterprise. However, it was observed that the environmental performance promoted by Lean Production practices is limited to environmental aspects of resource consumption and waste generation.
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Galeazzo, Ambra. "Environmental Management in Operations: Antecedents, Strategies, Performances." Doctoral thesis, Università degli studi di Padova, 2012. http://hdl.handle.net/11577/3422141.

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In the last few decades, the natural environment has increasingly received attention among policy makers, media and the international community. In such a context, firms have approached the environmental issue by developing different strategies and adopting practices that contribute to pollution reduction, resources savings and, more generally, to green efficiency. The present Ph.D. dissertation blends together the natural environment and operations management. As plants are the major responsible of pollution in the industry, this thesis aims at investigating their environmental choices and actions within the framework of manufacturing strategy. The thesis consists of three papers, each corresponding to a chapter. The first one addresses the environmental issue from a general perspective and defines the role of environmental strategy as long as the drivers underlying higher proactiveness; the second one deals with the environment as a competitive priority to understand which firm-related characteristics affect environmentally oriented manufacturing strategies; and the final one analyses the implementation of green and lean practices and the effects on plant performance. More precisely, the first chapter investigates the concept of proactive environmental strategy (PES). The literature has defined this strategy as a set of voluntary practices that go beyond mere compliance with regulations. In order to examine this concept and provide a narrower definition of PES, I first propose that PES is composed of two dimensions: the technical/organizational dimension and the embeddedness dimension. Second, I propose a theoretical framework that allows identification of different typologies in a firm’s environmental strategy. I finally outline the dynamics that drive shifts among PES typologies. In such a way, my final intention is to show that proactive environmental strategy is multidimensional and that there is not a unique definition of it, thus recommending an in-depth investigation of its position within the firm’s strategy. The second chapter allows understanding the role of the natural environment within the manufacturing strategy. Particularly, I analyse the effects of the organizational context on the emphasis that plant managers place on the environmental priority compared to the competitive priorities of cost, quality, delivery, flexibility and innovation. A multinomial logit model is used to explore whether and to what extent the organizational context, proxied by plant- and supply chain-related characteristics, influences three clusters of different manufacturing strategic patterns: environmental-oriented group, balanced set group, and cost-oriented group. Data is collected from a survey of manufacturing plants from Canada in the fabricated metal products, machinery, electronics, and electrical appliances industries. The results highlight that the organizational context affects the emphasis managers put on the environmental issue. In particular, they show that an international supply chain leads the plant to adopt an environmental oriented strategy. This might be explained by arguing that plants are more exposed to environmental risks caused by their international stakeholders, thus threatening their image or raising the chances to monetary fines. The final chapter analyses environmental management from a more operational perspective. Specifically, it contributes to the exploration of how lean and green practices might fit together to improve competitiveness. The relationship of lean manufacturing and environmental performance on the one side, and environmental management and operational performance on the other side, has widely been investigated but final benefits are still uncertain. Anyway, several researches have shown that some lean and green practices actually synergistically interact to improve plant performance. Using a case study methodology, the present paper aims to understand how the two sets of practices interact together and how they affect operational and environmental performance. Based on the analysis of three successful projects of two Italian plants, I find that the timing of implementation, i.e. sequential vs simultaneous, defines modes of managing lean and green practices, i.e. planning vs mutual adjustment, that ultimately affect plant performance. Finally, the findings identify what drivers foster lean practices and green practices to be synergic and jointly produce a positive impact on both environmental and operational performance<br>Negli ultimi decenni, l’ambiente è stato al centro di un crescente interesse tra regolamentatori, media e comunità internazionali. In tale contesto, le aziende si sono ritrovate ad affrontare la questione ambientale attraverso lo sviluppo di strategie e l’implementazione di pratiche atte a ridurre l’impatto inquinante, l’uso di risorse e, in generale, ad accrescere la propria efficienza in ottica green. La presente tesi di dottorato ha lo scopo di analizzare congiuntamente la questione ambientale e le operations. Questo tema è particolarmente interessante perché prende in considerazione le fabbriche, ovvero le principali responsabili di inquinamento, allo scopo di investigarne le scelte e le azioni ambientali nell’ambito della strategia manifatturiera. La tesi è formata da tre articoli, ognuno dei quali corrisponde ad un capitolo. Il primo tratta della questione ambientale partendo da una prospettiva generale e definendo qual è il ruolo della strategia ambientale e quali sono i fattori determinanti per accrescerne la proattività; il secondo considera l’aspetto ambientale come una possibile priorità competitiva e cerca di individuare i fattori legati alle caratteristiche dell’azienda che incidono su una strategia manifatturiera orientata alla protezione dell’ambiente; infine, l’ultimo capitolo esplora il processo di implementazione di pratiche lean e green nelle fabbriche e l’effetto che questo produce sulle performance. In particolare, il primo capitolo analizza il concetto di strategia ambientale proattiva (SAP). La letteratura ha definito questa strategia come un insieme di pratiche volontarie che non si limitano ad applicare le norme in materia ambientale. Allo scopo di formulare una puntuale definizione, dapprima identifico le dimensioni di SAP: una dimensione tecnica e organizzativa e una dimensione di intensità relazionale. Secondo, propongo una struttura teorica che permetta di individuare differenti tipologie di strategia ambientale. Infine, provo a delineare le spinte dinamiche che sono alla base dei cambiamenti tra una tipologia di SAP e l’altra. In questo modo, metto in evidenza che la strategia ambientale proattiva è multidimensionale e che non può essere definita univocamente, rendendo pertanto opportuno capirne il ruolo all’interno della strategia aziendale. Il secondo capitolo affronta il tema dell'ambiente naturale nell'ambito della strategia manifatturiera delle aziende. In particolare, lo scopo è analizzare gli effetti del contesto organizzativo sull'enfasi che i managers pongono sulla priorità ambientale con rispetto alle tradizionali priorità competitive di costo, qualità, consegna, flessibilità e innovazione. Grazie a una regressione logistica multinomiale, indago la relazione tra il contesto organizzativo, espresso in termini di caratteristiche dell'azienda e della catena di fornitura, e tre diverse possibili strategie manifatturiere: strategia orientata al sostegno ambientale; strategia orientata alla riduzione dei costi; e strategia con simile enfasi su tutte le priorità competitive. L'analisi empirica si basa su un campione di aziende manifatturiere canadesi operanti nei settori dei metalli, dei macchinari, dell’elettronica e delle apparecchiature elettroniche. I risultati dell'analisi evidenziano che il contesto organizzativo influisce sull'enfasi che i managers decidono di dare alla sostenibilità ambientale. Infatti, essi mostrano che quanto più la catena di fornitura si estende internazionalmente, ovvero i clienti e i fornitori sono dispersi in diverse aree geografiche, tanto più l'azienda adotta una strategia manifatturiera che pone enfasi sulla protezione dell'ambiente naturale. Questo è probabilmente motivato dal fatto che un'azienda ha maggiore difficoltà a controllare i potenziali rischi ambientali causati dai propri stakeholders operanti in diverse aree geografiche, dai quali possono derivare sanzioni pecunarie su pezzi importati non conformi alle norme e/o un danno alla propria visibilità a livello globale. L’ultimo capitolo affronta il tema della gestione ambientale da una prospettiva esclusivamente operativa. Nello specifico, questo articolo contribuisce a esplorare come le pratiche di lean management e le pratiche di green management possono essere implementate insieme per migliorare la competitività. La relazione tra lean manufacturing e performance ambientale da un lato, e tra gestione ambientale e performance operativa dall’altro, è stata ampiamente studiata ma senza arrivare a una visione univoca dei benefici che ne derivano. Tuttavia, un certo numero di ricerche hanno mostrato che alcune pratiche di lean e green sono complementari. Basandosi sulla metodologia dello studio di caso, il presente articolo ha lo scopo di capire come i due insiemi di pratiche interagiscono tra di loro e producono effetti sulle performance operative e ambientali. Attraverso l’analisi di tre progetti di successo di due aziende italiane, identifico che il timing di implementazione, sequenziale vs simultaneo, definisce le modalità di gestione delle pratiche da adottare – pianificazione vs mutuo aggiustamento. Questo aspetto ha un effetto significativo sulle performance dell'azienda in quanto l'approccio simultaneo porta a risultati maggiori rispetto all'approccio sequenziale. Infine, l'analisi dei casi mi permette di individuare i drivers che influenzano la relazione tra pratiche green e lean nell'implementazione di progetti ambientali
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Ahmadi, Ali R. [Verfasser]. "The Impact of Applying Systematic Management Methods on Operational Innovation and Efficiency; Effectiveness of Processes; and the Role of Manager in Work Performance : Case Study on Lean Management Method Implementation / Ali R. Ahmadi." Aachen : Shaker, 2019. http://d-nb.info/1189596504/34.

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Marshall, David A. "LEAN TRANSFORMATION: OVERCOMING THE CHALLENGES, MANAGING PERFORMANCE, AND SUSTAINING SUCCESS." UKnowledge, 2014. http://uknowledge.uky.edu/marketing_etds/4.

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To remain competitive in a global market, many organizations are transforming their operations from traditional management approaches to the lean philosophy. The success of the Toyota Production System in the automotive industry serves as a benchmark that organizations continually seek to emulate in search of similar results. Despite the abundance of lean resources, many organizations struggle to attain successful lean transformation. To facilitate investigation of the failure mechanisms and critical success factors of lean transformation, this dissertation addresses the following research questions: (1) Why do transformations from traditional organizational philosophies to lean fail? (2) What are the critical factors for lean transformation success? (3) What is the role of an organization’s human resource performance management system during the lean transformation journey? This dissertation utilizes a multi-method, multi-essay format to examine the research questions. First, managers from organizations in various stages of lean transformation are interviewed to establish a foundational research framework. Subsequently, a theoretical model is empirically tested based on data gathered from a survey of industry professionals with expertise in lean transformation. Data analysis techniques employed for this dissertation include: Partial Least Squares (PLS) regression, case descriptions, and case comparisons. Very few studies of lean transformation investigate behavioral influences and antecedents. This dissertation contributes to practitioners and researchers by offering a refined understanding of the role that human resource performance management can play in the overall lean transformation process. In an effort to characterize organizational outcomes resulting from lean transformation, this research introduces a new construct, Lean Transformation Success, to the literature.
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Dehdari, Payam [Verfasser]. "Measuring the Impact of Lean Techniques on Performance Indicators in Logistics Operations / Payam Dehdari." Karlsruhe : KIT Scientific Publishing, 2014. http://www.ksp.kit.edu.

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Books on the topic "Lean operational performance"

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I, McIntosh R., ed. Improving changeover performance: A strategy for becoming a lean, responsive manufacturer. Butterworth-Heinemann, 2001.

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Rampersad, Hubert K. TPS-Lean Six Sigma: Linking human capital to Lean Six Sigma : a new blueprint for creating high performance companies. IAP-Information Age Pub., 2007.

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Marshall, Kane. Lean Foundations: An Action Guide for Leaders in Manufacturing to Enhance Workplace Happiness, Improve Operational Performance, and Provide a Platform for Lean. Marshall, Kane A., 2019.

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Practical Lean Six Sigma for Healthcare - Using the A3 and Lean Thinking to Improve Operational Performance in Hospitals, Clinics, and Physician Group Practices. MCS Media, Inc., 2013.

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Roslan, Ummi Nazahah, Mohd Fathullah Ghazali, Raja Manisa Raja Mamat, Mohd Habir Ibrahim, and Norsilawati Ngah. INDUSTRIAL ENGINEERING. 2024th ed. PENERBIT UNIVERSITI MALAYSIA PERLIS, 2024. http://dx.doi.org/10.58915/bk2023.015.

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Explore the world of Industrial Engineering and its impact on success, efficiency and productivity in today's industries. This comprehensive book serves as a guide, providing readers with a solid foundation in industrial engineering and practical tools to optimize processes, achieving operational excellence. Take a journey through fundamental concepts, principles and methodologies, starting with an engaging introduction to the field. Learn how to design, analyze and optimize production processes using tools like process flowcharts, value stream mapping, and lean manufacturing principles. Dive into crucial aspects of industrial engineering, including the strategic considerations of facility location and layout. Explore factors such as transportation infrastructure, proximity to suppliers and customers, and site selection. Delve into principles and methods of facilities location analysis, designing optimal layouts and planning layouts methodically. Uncover the impact of work design and organizational performance on employee satisfaction and productivity. Examine approaches like job specialization, enlargement and enrichment, as well as organizational structures, culture and performance measurement systems. The book also covers ergonomics for optimizing human-system interaction, addressing physical, cognitive and organizational aspects. Lastly, explore the essentials of operations planning and management, covering production planning, inventory management, scheduling, quality control, and various forecasting and capacity planning approaches. This book, enriched with real-world examples and case studies is a valuable resource for both students and professionals aiming to master industrial engineering and enhance operational efficiency. Unlock the potential of industrial engineering to reach new heights in performance and efficiency.
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Lean performance ERP project management: Implementing the virtual lean enterprise. Taylor & Francis, 2008.

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Carroll, Brian J. Lean Performance ERP Project Management: Implementing the Virtual Lean Enterprise, Second Edition. 2nd ed. AUERBACH, 2007.

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Carroll, Brian J. Lean Performance ERP Project Management: Implementing the Virtual Lean Enterprise, Second Edition. Auerbach Publishers, Incorporated, 2007.

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Lean Performance ERP project management: Implementing the virtual supply chain. St. Lucie Press, 2002.

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Carroll, Brian J. Lean Performance Erp Project Management: Implementing the Virtual Supply Chain. Taylor & Francis Group, 2002.

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Book chapters on the topic "Lean operational performance"

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Mendoza Solis, Maribel, Jorge Luis García Alcaraz, and Perla Ivette Gómez Zepeda. "Impact of Integral Leadership on Social, Operational, and Environmental Performance." In Lean Manufacturing in Latin America. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70984-5_23.

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Keivanpour, Samira. "Lean and Industry 4.0 Implication in Circular Design: An Operational Performance Perspective." In Approaches, Opportunities, and Challenges for Eco-design 4.0. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87371-4_4.

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Singh, Gurraj. "Application of Lean Six Sigma 4.0 in Seed Potato Value Chain Performance Improvement." In Lean Six Sigma 4.0 for Operational Excellence Under the Industry 4.0 Transformation. CRC Press, 2023. http://dx.doi.org/10.1201/9781003381600-8.

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Ciliberto, Cristina, Jiju Antony, Ayon Chakraborty, et al. "Lean Tools in Higher Educational Institutions and Their Impact on Operational Performance: A Scoping Review." In Lecture Notes in Management and Industrial Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-84816-2_8.

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Ilangakoon, S. M., and Kumudinei Dissanayake. "Impact of Lean Utilization on Operational Performance: A Study of Sri Lankan Textile and Apparel Industry." In Recent Advances in Civil Engineering. CRC Press, 2023. http://dx.doi.org/10.1201/9781032657271-8.

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Aripin, Norhana Mohd, Fatimah Mahmud, Khai Loon Lee, Suhaidah Hussain, and Gusman Nawanir. "Improving Malaysian Automotive SMEs Operational Performance Through Lean Practices: The Moderating Effects of Human Factor Ergonomics." In Springer Series in Design and Innovation. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60863-6_17.

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Hoang, Le Nguyen. "A Multi-group Analysis of the Impact of Lean Manufacturing Practices on Operational Performance: Does the National Culture Matter?" In Proceedings of the International Conference on Emerging Challenges: Strategic Adaptation in the World of Uncertainties (ICECH 2022). Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-150-0_3.

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Hamdan, Mahani. "Operational Excellence through Managing Values in the Brunei Darussalam Public Sector." In Asia in Transition. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-6926-1_15.

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Abstract Operational excellence and continuous improvement are conceptually distinct but closely related. Operational excellence aims to achieve a long-term change in organisational culture while continuous improvement focuses on the process. Operational excellence (including lean manufacturing, Six Sigma and total quality management) has been applied extensively by private firms and companies in the industrial field and today these methodologies are also widely utilised in public organisations to achieve quality excellence in public services. Increases in global competition have put pressure on public services to be as productive and efficient as private services. This chapter aims to explain and uncover the conceptual definition of operational excellence in the context of Brunei Darussalam, analyse the methodologies used to frame it and discuss the challenges faced by public services in implementing it. The study presents data from two sources. The primary data derive from semi-structured interviews with 17 middle management officers from various government departments and agencies using a convenience sampling technique. Secondary data are based on a review of journal articles, reports and news. Results show that operational excellence in Brunei’s public services is defined in terms of processes measured by quality management, productivity, efficiency and effectiveness, and can be achieved through total quality management, balanced scorecards, and programme and performance budgeting. Other elements include value congruence, leadership, human resource management practices, service strategy and cultural involvement which are also critical in pushing excellence within an organisation, together with innovation, technology and policies appropriate to the national stages of socioeconomic development.
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David, Sophie M. C., and Pauline Found. "An Implementation Model for Lean and Green." In Measuring Operations Performance. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19995-5_1.

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Biazzo, Stefano, Roberto Panizzolo, and Alberto Maria de Crescenzo. "Lean Management and Product Innovation: A Critical Review." In Measuring Operations Performance. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19995-5_11.

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Conference papers on the topic "Lean operational performance"

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Kudla, Flavia, and Manuel Marya. "An Environmental Performance Comparison of Premium Vs. Standard Grades Used in Non-Magnetic Drill Collars." In CONFERENCE 2024. AMPP, 2024. https://doi.org/10.5006/c2024-20685.

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Abstract Non-magnetic drill collar (NMDC) alloys are (Cr-Mn/Cr-Mn-Ni)-Mo-N proprietary austenitic stainless steels that meet minimum API Specification 7-1 requirements. Among NMDC alloys, a wide range of chemical compositions and environmental performance exist with similar mechanical requirements. NMDC alloy proprietary compositions may be grouped into premium and standard grades and, depending on the product and operation requirements, the drilling conditions may lean more towards one group versus the other. This paper evaluates and compares the corrosion performance of representative alloys from these two groups in terms of weight-loss corrosion, localized corrosion, and environmentally assisted cracking in two simulated drilling muds. The test program accounts for different levels of chlorides, dissolved oxygen, brine pH, and temperature, in order to reproduce corrosion in the environment(s) and temperature(s) representative of field jobs. This investigation aims to understand and identify corrosion and cracking limits of the alloys from the premium and standard groups; and consequently, provide guidance to improve operational reliability and increase NMDCs life in the field.
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Sahab, Alkholi, Mirzaiee Ebrahim, and Daróczi Miklós. "Implementing Lean Tools to Improve a Production Line in a Given Company." In 10th International Scientific Conference on Advances in Mechanical Engineering. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-8bzqhf.

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In the competitive landscape of today's automotive industry, achieving excellence is fundamental. Our paper delves into the practical application of lean manufacturing principles within a given company.Drawing on collaborative efforts with industry experts and professionals, this paper documents practical experiences gained in the field of production management. By implementing various lean tools on one of the production lines in the company, significant strides were taken towards continuous improvement, resulting in enhanced productivity, reduced lead times, and heightened customer satisfaction.The study focuses on three key dimensions: engineering, economics, and management. The Plan-Do-Check-Act (PDCA) method was employed to establish performance indicators and guide continuous improvement initiatives. A 5S system was implemented to optimize the organization of high racks, resulting in a 3.7% reduction in downtime. Standardized work protocols were developed to promote one-piece flow, and operator cycle time balancing was applied to a specific component (Part X). These efforts led to a 30.77% improvement in productivity, with the line now producing 17 pieces of Part X per hour, compared to the previous output. The cycle time for producing one finished good part was reduced by 132 seconds, from 950 seconds to 818 seconds, and the welding robot was strategically designated as the bottleneck to further streamline operations.Economically, the reallocation of operators reduced Daily Labor Cost, creating a surplus of 0.64 hours (38 minutes) per operator per shift. This surplus allows operators to support other tasks or production lines, demonstrating the potential for ongoing resource optimization. Additionally, the integration of digitalized standardized work protocols facilitated training and streamlined production processes.The results highlight the transformative impact of lean manufacturing principles, including reduced downtime, improved cycle times, and optimized labor allocation. This study underscores the importance of lean tools in driving operational excellence and achieving measurable improvements in manufacturing efficiency, providing a practical framework for continuous improvement in the automotive industry.
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Sharma, Arun Kumar, Ganesh Kidambi, Rajiv Srinivasan, Anupom Sabhapondit, and Karl Stephenne. "Pioneering GRP Use in Amine-Based CO2 Capture: Insights from Pilot Plant Exposure Studies." In CONFERENCE 2025. AMPP, 2025. https://doi.org/10.5006/c2025-00055.

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Abstract Carbon capture, sequestration, and storage (CCS) is crucial for mitigating global warming by reducing industrial CO2 emissions. To enhance the commercial viability of CCS, this study focuses on reducing capital (CAPEX) and operational (OPEX) expenditures by evaluating the use of glass reinforced plastic (GRP) in amine-based CO2 capture technologies. Previous studies on chemical compatibility (C2023-18832) and mechanical feasibility (C2024-20710) were presented at the 2023/2024 AMPP conference. This investigation involved exposing GRP materials to solvent blends in a carbon capture pilot plant over seven months. The conditions included both rich and lean amines, with temperatures ranging from 30 to 143°C. Analysis of the exposed samples indicated that GRP is technically suitable for cold amine applications (30 to 63°C). However, for hot amine application, previous lab studies indicated suitability up to 100°C though no exposure data is available from the pilot plant study in that temperature range. These findings align with prior laboratory results, affirming the suitability of GRP for cold amine applications and highlighting the risks associated with high-temperature exposures. This research supports the development of more cost-effective and durable CCS systems by identifying materials that balance performance and economic feasibility.
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Aminuddin, Adam Shariff Adli, Mohd Kamal Mohd Nawawi, and Nik Mohd Zuki Nik Mohamed. "Analytic network process model for sustainable lean and green manufacturing performance indicator." In STATISTICS AND OPERATIONAL RESEARCH INTERNATIONAL CONFERENCE (SORIC 2013). AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4894328.

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Nader, Joelle, and Raed El-Khalil. "Flexibility and Operational Performance: Examining the Mediating Role of Lean and Sustainability Practices." In 2nd South American Conference on Industrial Engineering and Operations Management. IEOM Society International, 2021. http://dx.doi.org/10.46254/sa02.20210804.

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Ilangakoon, Tharushi, Samanthi Weerabahu, and Ruwan Wickramarachchi. "Combining Industry 4.0 with Lean Healthcare to Optimize Operational Performance of Sri Lankan Healthcare Industry." In 2018 International Conference on Production and Operations Management Society (POMS). IEEE, 2018. http://dx.doi.org/10.1109/poms.2018.8629460.

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Li, Hailin, Ghazi A. Karim, and A. Sohrabi. "The Lean Mixture Operational Limits of a S.I. Engine When Operated on Fuel Mixtures." In ASME 2005 Internal Combustion Engine Division Fall Technical Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/icef2005-1109.

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The operation of S.I. engines on lean mixtures is attractive in principle since it can provide improved fuel economy, reduced tendency to knock and extremely low NOx emissions. However, the associated flame propagation rates become degraded significantly and drop sharply as the operating mixture is made increasingly lean. Consequently, there exist distinct operational lean mixture limits beyond which satisfactory engine performance cannot be maintained due to the resulting prolonged and unstable combustion processes. The paper presents experimental data obtained in a single cylinder, variable compression ratio, S.I., CFR engine when operated in turn on CH4, H2, CO, gasoline, iso-octane and some of their binary mixtures. A quantitative approach for determining the operational limits of S.I. engines is suggested, compared and validated against corresponding experimental results of other traditional approaches. On this basis, the dependence of the values of the lean mixture operational limits on the composition of the fuel mixtures is investigated and discussed. The operational limit for throttled operation with methane as the fuel is also established.
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Carlos Herrera Vega, Juan. "Effect of the implementation of Lean Tools and operational performance in Manufacturing companies: A literary review." In The IMEOM 2022 Dhaka Conference, Bangladesh. IEOM Society International, 2022. http://dx.doi.org/10.46254/bd05.20220042.

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Herrera-Barreda, Ignacio. "Enhancing Operational Efficiency in Textile SMEs: Integrating Lean Manufacturing and Total Productive Maintenance for Superior Performance." In 5th Asia Pacific Conference on Industrial Engineering and Operations Management. IEOM Society International, 2024. https://doi.org/10.46254/ap05.20240101.

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Alony, Irit, and Michael Jones. "Lean Supply Chains JIT and Cellular Manufacturing - The Human Side." In InSITE 2008: Informing Science + IT Education Conference. Informing Science Institute, 2008. http://dx.doi.org/10.28945/3215.

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Lean manufacturing has been widely adopted by many production companies. Apart from the operational difficulty associated with conversion from a traditional, functional based operation, adoption of Lean manufacturing involves significant organizational transformations. It requires formation of work teams, comprised of multi-skilled workers. The work teams are preferably self directed and need to continuously improve performance and production processes. Such changes can be challenging for organizations. This paper reviews studies of human related and organizational factors in the context of Lean manufacturing, and identifies gaps in research in this area. The paper presents the principles of lean manufacturing, the organizational shifts required, and presents studies relevant to each of these shifts. The paper concludes with implications for practitioners and suggestions for further studies.
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Reports on the topic "Lean operational performance"

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McCarthy, James, and Tom McGrath. PR-312-12210-R01 CEPM Monitoring Plan for Two-Stoke Cycle Lean Burn Engines. Pipeline Research Council International, Inc. (PRCI), 2019. http://dx.doi.org/10.55274/r0011564.

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In response to ozone and nitrogen dioxide (NO2) National Ambient Air Quality Standards (NAAQS), it is anticipated that there will be continued pressure for retrofit NOx control of existing slow speed integral reciprocating engines. This will likely require the retrofit of many additional legacy lean burn pipeline engines over the next decade, and emissions controls will require compliance verification which has been historically based on periodic emission tests. However, agencies also desire continuous "monitoring" of an operating parameter or parameters indicative of engine status. This document describes a method for ensuring a reciprocating engine with emission controls is operating properly. Continuous engine performance monitoring (CEPM) using on-engine sensors can provide early identification of potential engine operational issues, while also assuring the engine is operating within an acceptable operating envelope consistent with acceptable emissions performance. CEPM can reduce maintenance and compliance costs. This report provides the foundation for lower cost compliance assurance using CEPM.
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Ladd, Neuner, and Olsen. PR-179-13207-R01 Variable Fuel Composition Air Fuel Ratio Control of Lean Burn Engines. Pipeline Research Council International, Inc. (PRCI), 2016. http://dx.doi.org/10.55274/r0010864.

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This research evaluates the effects of variable fuel quality on a large bore 2 stroke natural gas engine by varying ethane in the fuel gas from 5 to 25%. Four control strategies were evaluated at ~2 g/bhp-hr NOx, constant boost control, trapped gas ratio (TGR) control, trapped equivalence ratio (TER) control and a novel NOx sensor feedback control methodology. These control approaches were evaluated during variations in intake manifold temperature, relative humidity, ethane volume percentage, and engine speed. Emissions, combustion parameters, controller performance, and engine performance were measured and compared. During a second phase of testing the impact of fuel quality and other parameters (ignition timing, air manifold temperature, and TER) on detonation was explored at ?15 g/bhp-hr NOx. Techniques to quantify detonation were also evaluated, including a commercial accelerometer based system by Altronic. It was determined that ignition timing was the most effective method to control engine detonation. Fuel composition and TER were shown to have a significant effect on the severity of detonation. It was noted that persistent detonation lead to a steady increase in NOx production, but NOx values alone were inadequate to quantify detonation. At completion of engine testing the operational parameters were analyzed to create predictive models to determine if the engine would begin to detonate based on fuel composition, ignition timing and TER. The generated models accurately predicted the detonation level of the engine. This report has a related webinar.
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Hedrick and Jacobs. PR-457-14201-R01 Variable Natural Gas - Composition Effects and Control Methods for Two-Stroke Engines. Pipeline Research Council International, Inc. (PRCI), 2015. http://dx.doi.org/10.55274/r0010027.

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Literature is reviewed for the impacts of variable natural gas composition on two-stroke lean burn pipeline compressor engines. Information gathered for these engines can be simplified for development of control algorithms in four-stroke and richer burning engines. Data shows that geospatial, geological, and transient hydraulic effects cause composition variations that adversely affect engine emissions, efficiency, rated performance, and operational safety considering auto-ignition effects. In order to compensate for these changes in composition, better engine control schemes can help meet desired performance goals. For specific gas compositions combusting at a fixed air-fuel ratio, the laminar flame speed, adiabatic flame temperature, and ignition delay relate to and allow the prediction of the mixture�s reactivity, thermal availability, and auto-ignition tendency. Predicting changes in these combustion parameters, as caused by changes in fuel composition, is essential to the success of control development for variable composition engine operation. In addition to addressing the associated combustion effects resulting from variable fuel composition, an overview of sensor technologies is presented for use in control applications.
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Defoort, Willson, and Olsen. L51849 Performance Evaluation of Exhaust Catalysts During the Initial Aging on Large Industrial Engines. Pipeline Research Council International, Inc. (PRCI), 2001. http://dx.doi.org/10.55274/r0011213.

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An investigation of catalyst performance during the initial aging process, providing insight into the deactivation rate of the catalyst and assisting in predicting the operational lifetime of the catalyst was preformed. The information gained through the test program provides a mechanism to assist in developing new technologies geared at reducing engine emission while providing improvements in efficiency, reliability, and operability for the aging industrial reciprocating engine fleet. Two natural gas lean burn engines, a 2-stroke, large bore slow speed and a 4-stroke medium bore medium speed, were operated at pre-determined conditions in conjunction with an oxidation catalyst. The aging process of the catalysts was observed. The research concluded that the catalyst performance is much lower than anticipated,particularly in relation to the aging process. During the aging process for the large bore 2-stroke engine (about 200 hours) the catalyst efficiency drops from 95% to 80% for CO and from 75% to 45% for CH2O. Results for the medium bore 4-stroke engine are better as a result of nearly 200°F higher catalyst temperatures. During aging (approximately 150 hours) the catalyst efficiencies are reduced from 99.2 to 97.7% for CO and from undetectable post catalyst levels (essentially 100% removal) to 67% for CH2O.
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Siebenaler, Shane. PR015-23119-R01 Leak Detection Technology for Hydrogen Gas. Pipeline Research Council International, Inc. (PRCI), 2025. https://doi.org/10.55274/r0000127.

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As pipeline operators consider the use of hydrogen in their pipeline networks, the ability to detect leaks from this infrastructure is a key operational constraint since hydrogen emissions pose several safety risks. While there is a plethora of technologies to detect methane leaks from traditional gas transmission pipelines, there are less commercially available hydrogen sensors, and pipeline operators do not have extensive experience with hydrogen detection. The planning of future hydrogen pipelines introduces a need to identify and assess technologies that could detect hydrogen. Hydrogen's chemical and physical properties present unique challenges for detection and limit the underlying sensing mechanisms for this gas. This report provides a summary of existing technologies, assesses their potential performance through available literature, and outlines a plan for closing data gaps and quantifying system performance through laboratory-scale testing. Report developed under the Emerging Fuels Institute with PRCI. Document security and set such that Only EFI members can download report
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Moncada, Oscar Andrés, Seonghwan Cho, Vito Francioso, and John E. Haddock. Performance-Related Specifications for Pavement Milling. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317752.

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The primary objective of this research was to evaluate pavement damage that may occur during the pavement milling process, which is critical to the overlay design and performance of asphalt pavements. To achieve this purpose, the most common milling practices in Indiana were implemented on several trial sections and various damage characterization tests performed in the field and laboratory. The research provided a testing methodology to determine if a milling machine was having detrimental effects on the residual pavement and a process to “tune” the particular milling machine to its optimal operational standards to minimize detrimental effects. Finally, this research developed more reliable milling procedures and specifications that can lead to less damage on residual pavements and therefore better pavement performance.
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Apps, Christopher, and Tyler Johnson. PR244-173902-R01 On-water Leak Detection System Evaluation. Pipeline Research Council International, Inc. (PRCI), 2018. http://dx.doi.org/10.55274/r0011504.

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The hydrocarbon industry is directing efforts towards reducing the environmental impact of operation through improving pipeline performance and addressing evolving regulatory requirements. As a result, many different external leak detection technologies have been recently developed; however, it is challenging to test these systems with real hydrocarbon products. The research project described herein evaluated the performance of six external leak detection systems intended to identify the presence of hydrocarbon products on the surface of water. The scope was limited to an idealized freshwater environment. Tests were conducted with five hydrocarbon test fluids (gasoline, diesel, Synthetic Sweet Blend, Access Western Blend and Cold Lake Blend) along with three additional test fluids (canola oil, salt water and motor oil). Canola oil was considered as a candidate surrogate fluid and salt water as a possible source of false alarms, while motor oil was considered as a candidate surrogate fluid or a false alarm trigger, depending on the field application. Testing was performed by releasing each test fluid onto the surface of a water basin with six sensors located equidistant from the release point. Each sensor's response to contact with the test fluid was monitored and compared based on time to detection and estimated slick thickness at detection.
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8

Huebner. PR-375-09206-R01 Pump Seal Leak Reduction Systems for Unmanned Stations. Pipeline Research Council International, Inc. (PRCI), 2011. http://dx.doi.org/10.55274/r0010749.

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This report investigates the current state of sealing in liquid hydrocarbon pipelines, regulations which have impacted the industry and technology which is available to improve performance. The study analyzed the following fundamental categories: Prevention, Prediction, Detection, Containment and Disposal. Prevention considers establishing and measuring objectives for seal operations and creating an infrastructure to insure these goals are met. Prediction is creating capabilities to effectively monitor sealing system parameters to predict and prevent failures. Detection is the area where industry has historically focused its efforts and allows for the remote detection of seal failures. Containment represents the design of hardware and processes to minimize leakage to the environment. Lastly, Disposal considers the options available for sequestering leakage which leaves the pump and seal system.
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Hrehor, Troy, Timothy Jacobs, and Mark Patterson. PR457-22209-R01 Feasibility Study of the Premixing of PCC Fuel and Air to Reduce GHG Emissions. Pipeline Research Council International, Inc. (PRCI), 2025. https://doi.org/10.55274/r0000115.

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The large-bore, slow-speed, two-stroke natural gas engines that frequently power natural gas pipelines are the subjects of increasingly stringent emissions standards, particularly those targeting emissions of oxides of nitrogen (NOx) and greenhouse gases (GHGs) such as methane and carbon dioxide. Running these engines near their lean limits of operation reduces combustion temperature and therefore NOx emissions but at the cost of increased misfires and combustion instability, thus increasing GHG emissions. A pre-combustion chamber (PCC) can be equipped to provide a high-energy ignition source that extends the reliable lean limit of the engine, further reducing NOx emissions without drastically increasing emitted GHGs or reducing engine performance. A computational fluid dynamics (CFD) study was conducted to explore the effects of premixing fuel and air prior to injection into the PCC. Various premixed equivalence ratios, injected mass flow rates, and injection timings were studied and compared to a non-premixed baseline, specifically focusing on differences in GHG emissions and engine performance indicators such as peak pressure and total heat released. This work provides an examination of these results as well as recommendations for future research building off the preliminary data delivered here.
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Beurlot, Kyle, and Timothy Jacobs. PR457-23203-R01 Investigation of Supersonic Prechamber Jets. Pipeline Research Council International, Inc. (PRCI), 2025. https://doi.org/10.55274/r0000116.

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Lean-burning, large-bore two-stroke natural gas engines have long been essential elements of the North American natural gas pipeline system and will continue to play a crucial role in natural gas transportation for the foreseeable future. However, with increasing pressure to reduce emissions, improving the performance of this aging engine fleet has become more critical than ever. Pre-Combustion Chambers (PCCs) are frequently implemented on these engines to improve ignition stability, extend the lean limit of operation, and significantly reduce harmful emissions such as nitrogen oxides (NOx) and hydrocarbons (HC). While PCCs help reduce the carbon footprint of pipeline compressor stations, ongoing research into the pathway toward reduced emissions re-mains essential, as many avenues are still to be explored. This study aims to further research into novel subsonic converging and supersonic converging-diverging PCC nozzle designs that could potentially reduce methane emissions. A computational fluid dynamics (CFD) model of Texas A and M's Cooper Ajax E-565 large-bore natural gas lean burn two-stroke was utilized in a prechambered configuration for the study. Several converging nozzles of decreasing size and converging-diverging nozzles of various throat diameter, area expansion ratio, and shape were explored to produce PCC jets of different shape, spread, and level of penetration into the main combustion chamber (MCC). The resultant jet effects were then heavily analyzed for impacts to general cycle performance, such as main chamber pressure, temperature, NOx emissions, and methane emissions.
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