Lean processes for optimizing OR capacity utilization: prospective analysis before and after implementation of value stream mapping (VSM)

2011 ◽  
Vol 396 (7) ◽  
pp. 1047-1053 ◽  
Author(s):  
Patric Schwarz ◽  
Klaus Dieter Pannes ◽  
Michel Nathan ◽  
Hans Jorg Reimer ◽  
Axel Kleespies ◽  
...  
2011 ◽  
Vol 110-116 ◽  
pp. 2062-2066 ◽  
Author(s):  
Paramdeep Singh ◽  
Harpuneet Singh

Lean manufacturing has been proved to be an effective management philosophy for improving businesses in a competitive market by eliminating non-value added waste and improving in process operations. Value stream mapping is an important tool used to identify the opportunities for various lean techniques. The present research mainly focuses on the description of a model that is developed to contrast the “before” and “after” scenarios in detail in order to obtain the various benefits such as reduced production lead time, lower work in process inventory [1] and proper utilisation of the workforce. The current manufacturing system has been compared with the proposed pull (Kanban) system which shows the benefits of the proposed lean manufacturing system over the existing traditional manufacturing system. The present research work has been carried out at typical tractor industry which shows 50.5% reduction in total lead time in the future state value mapping of the crank case and the number of operators involved in processing of crank case has also been reduced from 22 to 18.


2008 ◽  
Vol 19 (4) ◽  
pp. 529-550 ◽  
Author(s):  
Dinesh Seth ◽  
Nitin Seth ◽  
Deepak Goel

PurposeThe purpose of this paper is to identify and address various wastes in the supply chain of the edible cottonseed oil industry (specifically the processing side) using a value stream mapping (VSM) approach to improve productivity and capacity utilization in an Indian context.Design/methodology/approachCritical observations and interviewing techniques were used with open‐ended questions to understand the processes involved in the value chain of the cottonseed oil industry. Different chain links/members were investigated through personal visits and discussions. VSM is applied as an approach to the industry to identify and remove non‐value‐adding (NVA) activities.FindingsMajor findings obtained from the study are as follows. There is an excess cumulative inventory of 244 days in the whole supply chain. The industry is highly fragmented with a large number of small players present, which hampers the use of economies of scale. There are NVA activities present in the supply chain such as the moving of cottonseed oil from expeller mill to refinery. The industry still uses outdated technology which hampers the productivity.Practical implicationsAttention needs to be given to boosting the productivity of the oil sector. Waste removal from the oilseed‐processing sector is one key to improving the productivity of the sector.Originality/valueThe paper addresses the various wastes in the processing side of the supply chain of the Indian cottonseed oil industry, using VSM as an approach which was hardly ever attempted before. Wastes are then individually attacked to reduce or eliminate them from the system. Suggestions to make the whole chain more productive can be generalized and can be replicated in the context of other developing countries.


Author(s):  
Agnieszka Zdęba-Mozoła ◽  
Anna Rybarczyk-Szwajkowska ◽  
Tomasz Czapla ◽  
Michał Marczak ◽  
Remigiusz Kozłowski

At the beginning of the 21st century, Lean Management (LM) tools were introduced into the healthcare sector around the world. In Poland, there are still few LM implementations, and they are not of a comprehensive nature. The aim of this article is to present the application of the LM concept in a hospital in Poland as a tool for the identification and analysis of waste and its impact on the process of organizing the provision of medical services on the example of improvements in the process of patient admission. In the period from 1 July 2019 to 31 December 2019, a project of LM implementation was carried out at the Provincial Specialist Hospital in Wroclaw. The project was based on the method of value-stream mapping and 5Why. Standardized interviews (before and after the project) were conducted with people from the hospital management and middle-level managers. The implementation of LM tools resulted in the identification of a number of wastes, which have been divided into groups. The most important waste was paper medical documentation. Its change to an electronic form allowed for a better use of human capital resources; savings included 2.3 nursing positions and 1.09 medical staff positions.


2012 ◽  
Vol 576 ◽  
pp. 727-730 ◽  
Author(s):  
A.N. Mustafizul Karim ◽  
A.A.B. Jaafar ◽  
M.A.I. Abdullah ◽  
M. Haque ◽  
Mohammad Yeakub Ali ◽  
...  

To sustain in business by meeting the customer expectations with limited resources under tight schedule is a great challenge for high volume manufacturing industry. In this respect Value Stream Mapping (VSM) plays an important role as a strategic tool in streamlining the processing operations and enhances capacity utilization. This study has been conducted on application of VSM in a make-to-order metal stamping company engaged in production of different stamped parts of which the LCD TV frame is a significant one. Based on the product flow analysis, a current state VSM has been constructed using pertinent data collected from the production floor. Analysis of recorded videos and time studies were performed in order to figure out the scope of improvements in framing the future state map (FSM) in the context of cycle time reduction and line balancing efficiency. As observed from the FSM, the efficiency of production line is possible to be significantly increased from about 48% to more than 93% vis-à-vis a reduced batch completion cycle time. Thus it is obvious that with minor adjustments in the system in line with the findings of the study, the industry can make a substantial improvement in their operational efficiency.


2019 ◽  
Vol 27 (2(134)) ◽  
pp. 19-23 ◽  
Author(s):  
D. Vasanth Kumar ◽  
G. Madhan Mohan ◽  
K. M. Mohanasundaram

Garment Manufacturing is one of the oldest in the world, compromising a high number of critical operations. The main issues in the garment industry are the lead time, production rate, very poor line balancing and fabric wastes. Productivity improvement is carried out by implementing the various lean tools in the industry, such as 5S, Value Stream Mapping (VSM) and line balancing in the sewing section. After the implementation of lean tools in the garment industry, the outcomes observed are a reduction in work-in-progress inventory, increases in the production process and increased line efficiency. Similarly the before and after implementation of 5S, which shows space utilisation in the sewing section, is increased. In this research, an implementation study was conducted in only one organisation. Hence the results extracted by the conduct of this implementation study are achievable and adaptable in similar organisations.


Author(s):  
Leidian Aragão Torres ◽  
Maria Cecília Souza ◽  
Ana Clara De Brito Xavier ◽  
Reymard Sávio Sampaio Melo

2021 ◽  
Vol 11 (11) ◽  
pp. 5151
Author(s):  
Michal Zoubek ◽  
Peter Poor ◽  
Tomas Broum ◽  
Josef Basl ◽  
Michal Simon

The primary purpose of this article is to present a maturity model dealing with environmental manufacturing processes in a company. According to some authors, Industry 4.0 is based on characteristics that have already been the focus of “lean and green” concepts. The goal of the article was to move from resource consumption, pollutant emissions, and more extensive manufacturing towards environmentally responsible manufacturing (ERM). Using environmental materials and methods reduces energy consumption, which generates cost savings and higher profits. Here, value stream mapping (VSM) was applied to identify core processes with environmental potential. This paper provides an understanding of the role of environmental manufacturing in the era of the Fourth Industrial Revolution.


Sign in / Sign up

Export Citation Format

Share Document