Application of MFCA and dynamic programming in operations improvement: A case study
© Springer-Verlag Berlin Heidelberg 2015. This study aimed to present an application of Material Flow Cost Accounting (MFCA) to discover loss in the process and dynamic programming in decision making of improvement solutions. The research focused on internal supply chain operations of the case study...
Saved in:
Main Authors: | , |
---|---|
Format: | Book Series |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84946082194&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/54512 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
id |
th-cmuir.6653943832-54512 |
---|---|
record_format |
dspace |
spelling |
th-cmuir.6653943832-545122018-09-04T10:15:04Z Application of MFCA and dynamic programming in operations improvement: A case study Atchara Songkham Chompoonoot Kasemset Engineering © Springer-Verlag Berlin Heidelberg 2015. This study aimed to present an application of Material Flow Cost Accounting (MFCA) to discover loss in the process and dynamic programming in decision making of improvement solutions. The research focused on internal supply chain operations of the case study. Based on MFCA analysis, the overall cost can be classified as the cost of positive product as 46.97% and the cost of negative product as 53.03%. The highest cost of negative product was material cost (MC) 45.52% following by system cost (SC) 6.41%, and energy cost (EC) 1.10% of the total product cost. The improvement solutions were proposed for MC reduction. Industrial engineering problem solving tools; cause and effect diagram, pareto diagram and why-why analysis, were used to investigate root causes for negative MC. Seven improvement solutions were proposed and evaluated based on MFCA calculation. The decision making was carried out using dynamic programming when the incursion was formulated using the cost of positive product increased by each solution. Finally, only the 1st, 2nd, 6th and 7th solution were selected and the cost of positive product can be increased from 46.97% to 56.08% and the cost of negative product reduced from 53.03% to 43.92% 2018-09-04T10:15:04Z 2018-09-04T10:15:04Z 2015-01-01 Book Series 18761119 18761100 2-s2.0-84946082194 10.1007/978-3-662-47200-2_5 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84946082194&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/54512 |
institution |
Chiang Mai University |
building |
Chiang Mai University Library |
country |
Thailand |
collection |
CMU Intellectual Repository |
topic |
Engineering |
spellingShingle |
Engineering Atchara Songkham Chompoonoot Kasemset Application of MFCA and dynamic programming in operations improvement: A case study |
description |
© Springer-Verlag Berlin Heidelberg 2015. This study aimed to present an application of Material Flow Cost Accounting (MFCA) to discover loss in the process and dynamic programming in decision making of improvement solutions. The research focused on internal supply chain operations of the case study. Based on MFCA analysis, the overall cost can be classified as the cost of positive product as 46.97% and the cost of negative product as 53.03%. The highest cost of negative product was material cost (MC) 45.52% following by system cost (SC) 6.41%, and energy cost (EC) 1.10% of the total product cost. The improvement solutions were proposed for MC reduction. Industrial engineering problem solving tools; cause and effect diagram, pareto diagram and why-why analysis, were used to investigate root causes for negative MC. Seven improvement solutions were proposed and evaluated based on MFCA calculation. The decision making was carried out using dynamic programming when the incursion was formulated using the cost of positive product increased by each solution. Finally, only the 1st, 2nd, 6th and 7th solution were selected and the cost of positive product can be increased from 46.97% to 56.08% and the cost of negative product reduced from 53.03% to 43.92% |
format |
Book Series |
author |
Atchara Songkham Chompoonoot Kasemset |
author_facet |
Atchara Songkham Chompoonoot Kasemset |
author_sort |
Atchara Songkham |
title |
Application of MFCA and dynamic programming in operations improvement: A case study |
title_short |
Application of MFCA and dynamic programming in operations improvement: A case study |
title_full |
Application of MFCA and dynamic programming in operations improvement: A case study |
title_fullStr |
Application of MFCA and dynamic programming in operations improvement: A case study |
title_full_unstemmed |
Application of MFCA and dynamic programming in operations improvement: A case study |
title_sort |
application of mfca and dynamic programming in operations improvement: a case study |
publishDate |
2018 |
url |
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84946082194&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/54512 |
_version_ |
1681424334253457408 |