Multiple-Stage Production Planning with Fuzzy Setup Resource

碩士 === 大葉大學 === 工業工程研究所 === 90 === In most cases, the confusing factor in the complicated production planning process is to find the most reliable information and to make decision rather than choosing the skill of planning production. People usually adopted probability model as the way of...

Full description

Bibliographic Details
Main Authors: Shi-Song Wang, 王世松
Other Authors: Ping-Feng Pai
Format: Others
Language:zh-TW
Published: 2002
Online Access:http://ndltd.ncl.edu.tw/handle/78884459190813348249
id ndltd-TW-090DYU00030031
record_format oai_dc
spelling ndltd-TW-090DYU000300312015-10-13T17:35:25Z http://ndltd.ncl.edu.tw/handle/78884459190813348249 Multiple-Stage Production Planning with Fuzzy Setup Resource 模糊整備資源下之多階產品生產規劃 Shi-Song Wang 王世松 碩士 大葉大學 工業工程研究所 90 In most cases, the confusing factor in the complicated production planning process is to find the most reliable information and to make decision rather than choosing the skill of planning production. People usually adopted probability model as the way of prediction in handling uncertain and imprecision environment. However, the probability model is not so good to describe the meaning of the conversation. Fuzzy numbers is developed to handle the uncertain information by the decision makers through out the understanding of outside environment. The advantage of the expression can assist decision makers not only using the historical data as references, but also have the opinion of professionals. This work is to apply the MRP system as a fundamental production planning model that is well adopted by firms. It considered the possible volume of production, fuzzy demand, fuzzy setup and fuzzy capacity limit to conclude the most likely information and defuzzification the outcome as the principle of production planning adjustment. Ping-Feng Pai 白炳豐 2002 學位論文 ; thesis 48 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 大葉大學 === 工業工程研究所 === 90 === In most cases, the confusing factor in the complicated production planning process is to find the most reliable information and to make decision rather than choosing the skill of planning production. People usually adopted probability model as the way of prediction in handling uncertain and imprecision environment. However, the probability model is not so good to describe the meaning of the conversation. Fuzzy numbers is developed to handle the uncertain information by the decision makers through out the understanding of outside environment. The advantage of the expression can assist decision makers not only using the historical data as references, but also have the opinion of professionals. This work is to apply the MRP system as a fundamental production planning model that is well adopted by firms. It considered the possible volume of production, fuzzy demand, fuzzy setup and fuzzy capacity limit to conclude the most likely information and defuzzification the outcome as the principle of production planning adjustment.
author2 Ping-Feng Pai
author_facet Ping-Feng Pai
Shi-Song Wang
王世松
author Shi-Song Wang
王世松
spellingShingle Shi-Song Wang
王世松
Multiple-Stage Production Planning with Fuzzy Setup Resource
author_sort Shi-Song Wang
title Multiple-Stage Production Planning with Fuzzy Setup Resource
title_short Multiple-Stage Production Planning with Fuzzy Setup Resource
title_full Multiple-Stage Production Planning with Fuzzy Setup Resource
title_fullStr Multiple-Stage Production Planning with Fuzzy Setup Resource
title_full_unstemmed Multiple-Stage Production Planning with Fuzzy Setup Resource
title_sort multiple-stage production planning with fuzzy setup resource
publishDate 2002
url http://ndltd.ncl.edu.tw/handle/78884459190813348249
work_keys_str_mv AT shisongwang multiplestageproductionplanningwithfuzzysetupresource
AT wángshìsōng multiplestageproductionplanningwithfuzzysetupresource
AT shisongwang móhúzhěngbèizīyuánxiàzhīduōjiēchǎnpǐnshēngchǎnguīhuà
AT wángshìsōng móhúzhěngbèizīyuánxiàzhīduōjiēchǎnpǐnshēngchǎnguīhuà
_version_ 1717783087705751552