A lean production strategy for hot charge operation of a steel mill

Author(s):  
J. Storck ◽  
B. Lindberg
2006 ◽  
Vol 05 (02) ◽  
pp. 127-140 ◽  
Author(s):  
HIROHISA SAKAI ◽  
KAKURO AMASAKA

Recently, Japanese enterprises have been promoting global production to realize uniform quality worldwide and production at optimal locations for severe competition. The authors attempt to propose New JIT (Just in Time) as a new management technology principle for manufacturing in the 21st century. Therefore, this paper concentrates on verifying the effectiveness of the authors' proposed Advanced TPS to success in global production by excellent manufacturing technology as the key to New JIT at Toyota. So far, the authors have established strategic manufacturing technology for the Lean Production called TPS-LAS (Toyota Production System - Process Layout Analysis Simulation) by using Process Layout CAE System. TPS-LAS model contains the three-core system with logistics investigation simulation, digital factory simulation and workability investigation simulation.


2015 ◽  
Vol 8 (11) ◽  
pp. 88 ◽  
Author(s):  
Ah Bee Goh ◽  
Nopasit Chakpitak ◽  
Pradorn Sureephong

This paper reports the findings of the case study conducted at Schaffner Thailand (ST) factory regarding the application of the ROFO principle coupled with companywide training on the execution of Lean Production (LP) strategy. The case study was motivated by 3 main objectives: 1) to examine the effectiveness of the ROFO principle and companywide training on the execution of LP strategy, 2)to study whether there were significant improvements in productivities between periods I and II, and 3) to assess whether ROFO principle had influenced significantly in changing the mindset of the staff. Companywide training was carried out on 3 modules: the ROFO principle, 5S and Lean Production (LP) concepts. The training of the 3 modules was implemented in period II (2008 to 2012) but not in period I (2003 to 2007). The methods used were survey, interview, and observations. The findings fully support the 3 objectives. The results were encouraging as productivities were not only improved in period II but also the willingness mindset of the staff. This is the power of the ROFO principle as each cycle of the ROFO principle resulted in a chain of corrective actions and learning.


Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fuli Zhou ◽  
Panpan Ma ◽  
Yandong He ◽  
Saurabh Pratap ◽  
Peng Yu ◽  
...  

Purpose With an increasingly fierce competition of the shipbuilding industry, advanced technologies and excellent management philosophies in the manufacturing industry are gradually introduced to domestic shipyards. The purpose of this study is to promote the lean management of Chinese ship outfitting plants by lean production strategy. Design/methodology/approach To promote the lean implementation of Chinese shipyards, the lean practice of ship-pipe part production is highlighted by lot-sizing optimization and strategic CONWIP (constant work-in-process) control. A nonlinear programming model is formulated to minimize the total cost of ship-pipe part manufacturing and the particle swarm optimization (PSO)-based algorithm is designed to resolve the established model. Besides, the pull-from-the-bottleneck (PFB) strategy is used to control ship-pipe part production, verified by Simulink simulation. Findings Results show that the proposed lean strategy of the programming model and strategic PFB control could assist Chinese ship outfitting plants to leverage competitive advantage by waste reduction and lean achievement. Specifically, the PFB double-loop control strategy shows better performance when there is high productivity and the PFB single-loop control outperforms at lower productivity scenarios. Practical implications To verify the effectiveness of the proposed lean strategy, a case study is performed to validate the formulated model. Also, simulation experiments realized by FlexSim software are conducted to testify results obtained by the constructed programming model. Originality/value Lean production management practice of the shipyard building industry is performed by the proposed lean production strategy through lot-sizing optimization and strategic PFB control in terms of ship-pipe part manufacturing.


2021 ◽  
Vol 9 (4) ◽  
Author(s):  
Musaddaq Hanoon Ali ◽  
Marwah Badr Zaya Yousif

Increasing the amount of production, the diversity of products, a commodity and / or service, and increasing the productivity factor ratios contribute to developing the competitive strength of the organization in light of the increasingly difficult market conditions. That made all organizations work according to competitive strategies, including the production strategy for the purpose of achieving the organizations goal through the set of goals that they put. They rely on several new management systems of a strategic nature aimed at their survival and continuity in the production market. Hence, this research aims to evaluate the total productivity maintenance capacity in lean production throughout reducing the various kinds of losses, as the lean production is based on reducing each defective product (a commodity and / or service), costs, errors, and area, and all that and others aimed at improving product quality and customer satisfaction. However, the overall goals and production programs often encounter unexpected breakdowns at unexpected times, which lead to a breakdown in production and an imbalance in production plans as a result. Consequently, the companies suffer the expected revenue loss because they fail to reach the targeted production amount. The research has adopted a questionnaire that has been distributed to (50) employees of the General Company for Electric Power Production, the central region in Baghdad, which constituted more than 10% of the company’s employees. The results show that there is a strong direct relationship between the independent variable (total productivity maintenance) and the dependent variable (lean production). This distinction has explained 90% of the variables in the dependent variable.


2015 ◽  
pp. 18-43 ◽  
Author(s):  
Dario Fontana ◽  
Francesco Tuccino
Keyword(s):  

2012 ◽  
Vol 3 (6) ◽  
pp. 9-11
Author(s):  
N. Srihari Narayana ◽  
◽  
V. Sailaja V. Sailaja ◽  
P.V. Satyagopal P.V. Satyagopal ◽  
S.V. Prasad S.V. Prasad

Sign in / Sign up

Export Citation Format

Share Document