Operational performance improvement by implementation of value stream mapping - a case study from Indian industry

Author(s):  
Rakesh Kumar ◽  
Vikas Kumar
2016 ◽  
Vol 834 ◽  
pp. 205-210
Author(s):  
Elena Loredana Terzea ◽  
Antonia Cristina Barascu ◽  
Iulian Razvan Soare

Batch processes includes paint manufacturing, food processing, pharmaceutical industry, etc. The paper focuses on the process of paint manufacturing. The main contribution is the design of the current value stream mapping, very useful to understand the causes of waste and lead-time. This paper points out the necessity of applying lean methods within automotive industry, sector of bumpers painting and assembly, based on a real case-study.


Lately, value stream mapping (VSM) is integrated with tools and techniques that belong to other areas of knowledge such as risk management (RM). It is well known tool in showing the value, value stream and the flow which represents three of lean manufacturing (LM) principles. This integration, gives more benefit in covering two of VSM issues such as considering the variability and uncertainty of production processes. In this paper, a model named variable value stream mapping (V-VSM) that integrates the two was showed, explained and tested. The model helps to generate the VSM in a dynamic way with the identification of current and potential risks. These risks might happen in the future bringing a strong impact on not reaching the main objectives in the defined time and cost. The model has been tested by conducting a case study in food sector. A current state map was built using both models, traditional VSM and VVSM. The results showed the effect of variability and uncertainty on the total cycle time (CT) and lead time (LT) values, where the traditional VSM failed to show it by being a static tool. Comparing the results of both models show the differences in presenting the real state of manufacturing environment..


Author(s):  
Busola Elizabeth Kehinde ◽  
Chinyere Adeniji ◽  
Ayodotun Stephen Ibidunni ◽  
Mosunmola Akinbode ◽  
Daniel Ufua

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