scholarly journals Lean management implementation difficulties, studies and recommendations

2020 ◽  
Vol 9 (2) ◽  
pp. 527
Author(s):  
Mohammed Jouhri ◽  
Aziz Soulhi

Speeding up FAST FASHION development cycles for the apparel industry, always bringing more values to the customer, seeking perfor-mance through continuous improvement. This paper presents a deployment approach to Lean Management, helping to make it more con-crete, efficient, less theoretical. The realization of the approach was based on case studies, state of art and references made in Moroccan companies in the textile and clothing sector. This analysis sheds light on the importance of aligning the lean management strategy with the company's strategy and values, hence the use of the socio-technical approach. The objective of this study is to realize a brief application of Lean Management, able to transform it from a theoretical organization to a practical one. This Lean Deployment Study is considered unique in that it addresses the need to work on psychology, culture, societal values of each company, to prepare for and align it with Lean manage-ment strategy, before attacking its practices. This article is a first development of strategies and methodologies proposed for improvements that seek to focus on the overall performance of the company. 

2021 ◽  
Vol 18 ◽  
pp. 1-9
Author(s):  
Tran Van Trang ◽  
Quang Hung Do ◽  
Minh Huan Luong

A continued robust growth of Vietnamese apparel enterprises has showed that they do notplay the auxiliary but the main role in the national industry. However, in general, the apparel industryin Vietnam has not met the practical requirements. In order to provide overall performance evaluationand how to achieve efficiency systematically, this study utilizes DEA approach to determine theperformance levels of 15 Vietnamese apparel industry enterprises and assess their efficiency.Specifically, we have applied output oriented model, which aims to maximize outputs while the inputsproportions remain unchanged to realize DEA efficiency analysis. CCR-based and BCC-based modelsare utilized to get overall technical and pure technical efficiencies. The findings show that havingbusiness transactions with foreign partners, good labor cost management and effective inventorymanagement are the most prominent factors in distinguishing between efficient and inefficiententerprises in Vietnam's apparel industry. The study may be a useful tool for managers to improvetheir performances and effectively allocate resources.


Al-Risalah ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 88-99
Author(s):  
Rohimah Rohimah

The movement (leading) of action make appoint group members trying to achieve the goals in accordance with the business organization. “Leading is defined as motivating, directing and otherwise on influencing people to work hard to achieve the organization’s gools”. Institutions as well educational institusionas as oriented to the quality is focused on two customers that customers internal and external. The realize quality of institution or organization according Juran focused on tree activities are Planning, supervision and repairing known as trilogy Juran while Feiganbaum see activities organization quality can be seen fromthe improvement of management continuous improvement employees, leadership, and supervision in first-line, and supervison quality. This can be seen from the activities of leadership in guiding, communicate and decision making in accordance with the work will be made. In this case the most important is how leaders can inform duties and steps of work to do all member organizations to achieve the goal.


2011 ◽  
Vol 81 (18) ◽  
pp. 1871-1892 ◽  
Author(s):  
ZX Guo ◽  
WK Wong ◽  
SYS Leung ◽  
Min Li

This paper presents a systematic review on the state-of-art of artificial intelligence (AI) applications in the apparel industry. The existing literature is reviewed based on different research issues and AI-based methodologies. The research issues are categorized into four categories on the basis of the operation processes of the apparel industry, including apparel design, manufacturing, retailing, and supply chain management. This paper shows that research on AI applications in the apparel industry is still limited by analyzing the limitations of previous studies and research challenges. Finally, suggestions for further studies are offered.


Author(s):  
F. J. G. Heyes ◽  
H. P. Hodson ◽  
G. M. Dailey

The phenomenon of tip leakage has been studied in two linear cascades of turbine blades.The investigation includes an examination of the performance of the cascades with a variety of tip geometries. The effects of using plain tips, suction side squealers and pressure side squealers are reported. Traverses of the exit flow field were made in order to determine the overall performance. A method of calculating the tip discharge coefficients for squealer geometries is put forward. In linking the tip discharge coefficient and cascade losses a procedure for predicting the relative performance of tip geometries is developed. The model is used to examine the results obtained using the different tip treatments and to highlight the important aspects of the loss generation process.


2020 ◽  
Author(s):  
Hans-Curt Flemming ◽  
Brenda Little ◽  
Dan Blackwood ◽  
Jamie Hinks ◽  
Federico Lauro ◽  
...  

<p>Microbially influenced corrosion (MIC), is acknowledged to be the direct cause of catastrophic corrosion failures, with damages ranging to many billions of US$. In spite of extensive research and numerous publications, fundamental questions still remain unanswered. In 1993, J.F.D. Stott published a review paper in Corrosion Science, entitled “What progress in the understanding of microbially influenced corrosion has been made in the last 25 years?“ He concluded, “The most commonly asked question about MIC is: what will be the expected corrosion rate of material x in an environment where aggressive microorganisms proliferate?... For many materials we can no more answer this question now than we could 25 years ago.” Now, over 50 years later, that question is still open. Current MIC research does not provide data related to detection and verification in the field, diagnosing, modelling or prediction. Laboratory experiments seldom attempt to recreate relevant natural or industrial electrolytes. A sober, solution-oriented contemplation of the state-of-art and acknowledgement of the substantial deficiencies in our understanding may help shift MIC research into a direction which could actually produce useful answers.</p>


1990 ◽  
Vol 112 (2) ◽  
pp. 114-123 ◽  
Author(s):  
W. R. Dunbar ◽  
R. A. Gaggioli

This paper presents the results of mathematical modeling of the performance of solid electrolyte fuel cells. The system of fundamental physical equations has been solved using a computer program which was developed expressly for this purpose, in order to simulate the performance of arrays of fuel cells for which experimental data exists in the literature. The comparison of experimental data and simulated performance is excellent. The results of the simulation show the influence of each irreversible process within the fuel cell, quantitatively; that is, the relative importance of each source of inefficiency—and the consequent voltage loss—is determined. Because certain rate constants (for diffusion and for chemical kinetics) employed in the model were obtained by regression, it cannot be claimed that the ability to fit the experimental data is a definitive test of the model; more work is needed for that purpose. Nevertheless, it is shown that (a) modeling of fuel cells on the basis of basic physical principles is a worthwhile venture, (b) the model presented here simulates performance well and warrants further development, and (c) it not only simulates the overall performance of the cells, but also provides the important breakdown of the effects of each irreversibility in the cells. Furthermore, specific recommendations are made in this paper for improving the model.


2006 ◽  
Vol 4 (3) ◽  
pp. 353-377 ◽  
Author(s):  
Peter Doeringer ◽  
Sarah Crean
Keyword(s):  

Author(s):  
Ioannis Roumeliotis ◽  
Francesco Arena ◽  
Yize Liu ◽  
Stavros Vouros ◽  
Vassilios Pachidis ◽  
...  

Abstract This paper assesses a gas turbine based parallel rotorcraft hybrid electric propulsion system in terms of overall performance and emissions. Three different electric power train technology levels and three different power management strategies are considered for identifying the potential benefits of hybridization in relation to technology advancements and quantifying the effect of PMS. For this analysis, a Passenger Air Transport of a twin-engine medium helicopter is used. The propulsion systems mission simulation and emissions calculation are performed in Simcenter Amesim. The assessment framework integrates a thermal power-plant model, an electric power plant model for the hybrid electric cases, a helicopter simulation model and suitable pollutant emissions calculation correlations. For establishing NOx emission correlations that can be used for turboshaft engine calculations, a systematic evaluation of different correlations available in the literature is performed. The correlations are compared for different operating points against a calibrated stirred reactor model. The suitable correlations are utilized in the framework. The propulsion system is sized according to the technology levels and power management strategy considered, updating the helicopter Take-Off Weight for each case. The results indicate that there is potential for efficiency betterment and CO2 emissions reduction. The benefits strongly depend on the power management strategy and energy and power density of the electric power train. For current technology level and for the cases examined herein no benefits in terms of overall performance and emissions accrue. If future technology level is considered, hybridization may offer benefits in terms of performance to the expense of NOx emissions for the case that the power train is used for boosting and the gas turbine is scaled down. Power splitting may offer block fuel, turbine life and NOx benefits to the expense of overall energy performance.


Author(s):  
Jingkuan Song ◽  
Lianli Gao ◽  
Zhao Guo ◽  
Wu Liu ◽  
Dongxiang Zhang ◽  
...  

Recent progress has been made in using attention based encoder-decoder framework for video captioning. However, most existing decoders apply the attention mechanism to every generated words including both visual words (e.g., “gun” and "shooting“) and non-visual words (e.g. "the“, "a”).However, these non-visual words can be easily predicted using natural language model without considering visual signals or attention.Imposing attention mechanism on non-visual words could mislead and decrease the overall performance of video captioning.To address this issue, we propose a hierarchical LSTM with adjusted temporal attention (hLSTMat) approach for video captioning. Specifically, the proposed framework utilizes the temporal attention for selecting specific frames to predict related words, while the adjusted temporal attention is for deciding whether to depend on the visual information or the language context information. Also, a hierarchical LSTMs is designed to simultaneously consider both low-level visual information and deep semantic information to support the video caption generation. To demonstrate the effectiveness of our proposed framework, we test our method on two prevalent datasets: MSVD and MSR-VTT, and experimental results show that our approach outperforms the state-of-the-art methods on both two datasets.


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