The production plan for multi-site and multi-stage in LED industry
碩士 === 國立成功大學 === 工業與資訊管理學系碩士在職專班 === 104 === The thesis uses actual data from the LED industry to do the analysis. The purpose of the research is to allocate capacity efficiently and minimize cost. The production plan is mainly intended to solve the allocation problem for multi-site and multi-stage...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2016
|
Online Access: | http://ndltd.ncl.edu.tw/handle/88820871365419456348 |
id |
ndltd-TW-104NCKU5041111 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-104NCKU50411112017-10-29T04:35:12Z http://ndltd.ncl.edu.tw/handle/88820871365419456348 The production plan for multi-site and multi-stage in LED industry LED產業多廠區多階層之投產規劃 Chen-YiFang 方貞懿 碩士 國立成功大學 工業與資訊管理學系碩士在職專班 104 The thesis uses actual data from the LED industry to do the analysis. The purpose of the research is to allocate capacity efficiently and minimize cost. The production plan is mainly intended to solve the allocation problem for multi-site and multi-stage production plans. According to the mathematical programming characteristics, such as MPS demand, the limitation of each production site, the upper and lower capacity bounds, production variable costs, transportation costs, and limits to the target production time, are formulated in the MP model for the case firm. A GA (genetic algorithm) is implemented to solve the proposed model and the near-optimal of the problem can be acquired using the GA. Furthermore, a sensitivity analysis is conducted to verify the parameters of the GA and it is found that the value set of the parameters can facilitate reaching the near-optimal solution. Chin-Ho Lin 林清河 2016 學位論文 ; thesis 56 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立成功大學 === 工業與資訊管理學系碩士在職專班 === 104 === The thesis uses actual data from the LED industry to do the analysis. The purpose of the research is to allocate capacity efficiently and minimize cost. The production plan is mainly intended to solve the allocation problem for multi-site and multi-stage production plans. According to the mathematical programming characteristics, such as MPS demand, the limitation of each production site, the upper and lower capacity bounds, production variable costs, transportation costs, and limits to the target production time, are formulated in the MP model for the case firm. A GA (genetic algorithm) is implemented to solve the proposed model and the near-optimal of the problem can be acquired using the GA. Furthermore, a sensitivity analysis is conducted to verify the parameters of the GA and it is found that the value set of the parameters can facilitate reaching the near-optimal solution.
|
author2 |
Chin-Ho Lin |
author_facet |
Chin-Ho Lin Chen-YiFang 方貞懿 |
author |
Chen-YiFang 方貞懿 |
spellingShingle |
Chen-YiFang 方貞懿 The production plan for multi-site and multi-stage in LED industry |
author_sort |
Chen-YiFang |
title |
The production plan for multi-site and multi-stage in LED industry |
title_short |
The production plan for multi-site and multi-stage in LED industry |
title_full |
The production plan for multi-site and multi-stage in LED industry |
title_fullStr |
The production plan for multi-site and multi-stage in LED industry |
title_full_unstemmed |
The production plan for multi-site and multi-stage in LED industry |
title_sort |
production plan for multi-site and multi-stage in led industry |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/88820871365419456348 |
work_keys_str_mv |
AT chenyifang theproductionplanformultisiteandmultistageinledindustry AT fāngzhēnyì theproductionplanformultisiteandmultistageinledindustry AT chenyifang ledchǎnyèduōchǎngqūduōjiēcéngzhītóuchǎnguīhuà AT fāngzhēnyì ledchǎnyèduōchǎngqūduōjiēcéngzhītóuchǎnguīhuà AT chenyifang productionplanformultisiteandmultistageinledindustry AT fāngzhēnyì productionplanformultisiteandmultistageinledindustry |
_version_ |
1718558056498855936 |