臺灣博碩士論文加值系統

對於任何企業而言,生產系統設備之優劣與效率,佔有極重要的地位,
由於資產設備的老化、故障,操作與維修成本、可靠度等逐漸急遽地惡化;
或者由於現代化快速變化的工業環境,更多先進或自動設備的出現,可提供
更快速整備、更低的人工成本、更具彈性的產能及更低之操作成本與維修
成本‧因此,決定現有設備的汰換時機,以新或甚至更先進的設備加入生
產,深深影響了一企業的資金效力、現有資產設備的有效利用、產品的產
能、價格及競爭力‧ 本研究將模糊觀念導入汰換模式,運用模糊運算、
模糊迴歸、反模糊化、模糊動態規劃等,發展出一系列(十二個模式),從理
想情形到實際情形,由靜態到動態的完整汰換模式,並將最後一模式,稱為"
模糊動態設備汰換規劃"(Fuzzy Dynamic Equipment Replacement
Programming),簡稱FDERP‧ 本文並擺脫脫傳統方法的限制,提出汰換區
間(replacement interval)、模糊汰換年限(fuzzy replacement life)及
因應產業環境情境下的模糊汰換空間(fuzzy replacement space)‧模糊
汰換年限的提出,可使企業在對設備重置的財務預算中,提早做規劃,使其
更具有前瞻性;模糊汰換年限,更能使企業在設備未達經濟年限之前,提醒
決策者注意設備經濟規模得到來‧此外,各產業特性不同,模糊汰換空間則
可讓企業依個別情境作不同的汰換決策,而非一成不變的汰換方式‧因此,
是一種比較實際而實用的汰換方法‧

For any enterprise, the quality and efficiency of the
production equipment are very important. Any aged or broken
production assess can make an enterprise spend more money on its
operation and maintenance. Besides, the modern industrial
technology is able to provide more effective equipment with
flexible productivity which saves labor,operating and
maintenance costs. Therefore, to decide when to replace the
current producing equipment with newer or more developed ones
can effect the capital effectiveness, productivity and competing
ability of an enterprise. This research directs fuzzy idea to
the replacement model by fuzzy arithmetic,fuzzy regression,
defuzzification, fuzzy dynamic programming,etc. From idea
situationto practical situation, it develops a series, 12 models
from steady to dynamic complete replacement model, with the last
one called "Fuzzy Dynamic Equipment Replacement Programming
"(FDERP). This research is beyond the restriction of
traditional ways. It provides the idea of replacement interval,
fuzzy replacement life and fuzzy replacement space in order to
get used of the production situation. The fuzzy replacement
life can let the enterprise arrange things earlier when it works
on the financial budget of the replacement of equipment.
Besides, it can remind the administrator of noticing the coming
of the equipment economic life. There are different specialties
in each industry, therefore, fuzzy replacement space can let
each enterprise make different substitutions depending on its
own situation. This way of replacement is more practical and
realistic.