Showing 6 results for Lean
F. Sanati , S.m. Seyedhoseini,
Volume 19, Issue 1 (3-2008)
Abstract
Abstract: At the last decade of the 20th century, Womack et. Al introduced Lean concept to the industrial world. Since 1990 up to now, existed studies mostly have focused on lean production in the step of manufacturing, but in this research leanness concept has developed in the plant life cycle. In this paper leanness concept will be described as elimination of wastes in the phases of investment, plant design & construction(hardware), organization & systems design (software) and these three steps will be added to, elimination of previously described seven wastes in production step. For this purpose at first, the types of wastes in the above mentioned phases are defined by using Axiomatic Design methodology. After defining the types of wastes, a model for assessment of leanness is submitted. In this quantitative model, amount of leanness in each phase will be determined and combined to make a unique measure for total leanness. Dimensions of leanness are shown for quick understanding, by using a spider diagram. In the last section of the paper, the results of an example of the application of this model in fan industry are brought. This example shows the simplicity and powerfully of the model to determine the leanness in before production phases. © 2008 Authors all rights reserved.
Farzad R Sanati, Seyed M. Seyed Hosseini,
Volume 19, Issue 1 (3-2008)
Abstract
At the last decade of the 20th century, Womack et. Al introduced Lean concept to the industrial world. Since 1990 up to now, existed studies mostly have focused on lean production in the step of manufacturing, but in this research leanness concept has developed in the plant life cycle. In this paper leanness concept will be described as elimination of wastes in the phases of investment, plant design & construction(hardware), organization & systems design (software) and these three steps will be added to, elimination of previously described seven wastes in production step. For this purpose at first, the types of wastes in the above mentioned phases are defined by using Axiomatic Design methodology. After defining the types of wastes, a model for assessment of leanness is submitted. In this quantitative model, amount of leanness in each phase will be determined and combined to make a unique measure for total leanness. Dimensions of leanness are shown for quick understanding, by using a spider diagram. In the last section of the paper, the results of an example of the application of this model in fan industry are brought. This example shows the simplicity and powerfully of the model to determine the leanness in before production phases. © 2008 Authors all rights reserved.
M Karbasian, M Bashiri, M Safaei,
Volume 22, Issue 3 (9-2011)
Abstract
Strategic programming, Complex supply chain, Lean, Production programming, Suppliers selection, ELECTRE |
This paper represents a model of strategic programming with limited resources in a complex supply chain. The main goal of the proposed model is to increase efficiency and effectiveness of the supply chain with respect to income increases and cost decreases. Using special objective functions, has guaranteed the lean supply, production, distribution and suppliers' selection strategies. Furthermore, it can use for production programming in the supply chain. Moreover, customer satisfaction has also been perceived, by using minimization objective functions of shortage amount and restrictions of maximum allowed shortage. In this model, objective functions have been defined in a way, which directs the supply chain to the lean. Finally, after determining strategies according to objective functions and constraints, the optimal strategies using multi-criteria decision making - ELECTRE process- have been chosen .
Rahul S Mor, Arvind Bhardwaj, Vishal Kharka, Manjeet Kharub,
Volume 32, Issue 2 (6-2021)
Abstract
Inventory management plays a vital role in attaining the desired service level and prevents excess capital from being tied up in the form of dead stock. This paper presents a framework to effectively determine the items subject to obsolescence in an automotive spare parts warehouse. The inventory management techniques are applied to minimize the costs and a framework is proposed based on ABC-XYZ and FSN analysis to prioritize the spare parts based on their criticality. Further, the importance of items in the warehouse is carried out to eliminate the dead stock. The ABC classification findings reveal that A-class items accounted for 10.39% and hold the highest inventory value grouping. XYZ classification concludes that much priority should be given to the management of 52.7% of items under the Z category as the demand trend of these items is highly fluctuating. The N category items have no demand in recent times and need immediate attention, thereby preventing further unnecessary procurement. Thus, based on the ABC-XYZ and FSN analysis, the non-critical items, i.e., the non-moving items having fluctuating demand, are sorted out.
Sundaramali G., Santhosh Raj K., Anirudh S., Mahadharsan R., Senthilkumaran Selvaraj,
Volume 32, Issue 3 (9-2021)
Abstract
One of the goals of the manufacturing industry in the globalisation era is to reduce defects. Due to a variety of factors, the products manufactured in the industry may not be defect-free. Six Sigma is one of the most effective methods for reducing defects. This paper focuses on implementing Six Sigma in the automobile industry's stator motor shaft assembly. The high decibel noise produced by the stator motor is regarded as a rejected piece. Six Sigma focuses on continuous improvement and aids in process optimization by identifying the source of the defect. In the Six Sigma process, the problem is measured and analysed using various tools and techniques. Before beginning this case study, its impact on the company in terms of internal and external customer cost savings is assessed. This case study was discovered to be in a high-impact area. The issue was discovered during the Core and Shaft pressing process. Further research leads to dimensional tolerance, which reduces the defect percentage from 16.5 percent to 0.5 percent.
Mazlan Awang, Mohd Razif Idris, Zuriyati Zakaria,
Volume 33, Issue 3 (9-2022)
Abstract
This paper presents an exploratory study on the development of lean readiness index for Malaysian hospitals. A questionnaire survey were obtained from 118 public hospitals and lean readiness model was developed using structural equation modeling (SEM) and the relevant constructs were identified using confirmatory factor analysis. The Lean Readiness Index (LRI) is formulated and a ruler in associate with the LRI were proposed as to meet the objective of the study. The finding to emerge from this study is that only 10.1% of Malaysian public hospitals have ‘good’ readiness status. The study also revealed the overall LRI’s value is 0.617 and, the majority of the hospitals were categorize as having ‘fair’ and ‘weak’ readiness status. The result indicated that training had the strongest association towards lean readiness while communication is the least. This study had revealed the readiness level for lean implementation in Malaysian public hospitals and proposed the required foundation that need to be enhanced before implementing lean.
