生產／再製造存貨模型中之最佳回收努力值策略;An Optimal Recycling Sales Effort Strategy in a Production/Remanufacturing Inventory Model

NCUIR > School of Management at National Central University > Graduate Institute of Industrial Management > Electronic Thesis & Dissertation > Item 987654321/71154

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/71154

Title:	生產／再製造存貨模型中之最佳回收努力值策略;An Optimal Recycling Sales Effort Strategy in a Production/Remanufacturing Inventory Model
Authors:	陳逸洋;Chen,Yi-Yang
Contributors:	工業管理研究所
Keywords:	逆物流;再製造;努力值;Reverse Logistics;Remanufacturing;Sales effort
Date:	2016-06-30
Issue Date:	2016-10-13 12:09:34 (UTC+8)
Publisher:	國立中央大學
Abstract:	二十一世紀，隨著環保意識抬頭，製造業為了減少汙染並負起企業責任，逐漸重視再製造技術。另一方面，再製造充分利用淘汰之舊物，開源節流以降低生產成本，是製造業者應具備的關鍵技術。故如何宣導以增加消費者使用後的回收率，並投資相關設備提升再製造技術以增加回收後的使用率，已成製造業相當重要的研究議題。　　本研究依據Dobos and Richter（2003）所提出的生產／再製造物質流模型作為研究背景，將再製造流程分為生產、成品存貨、市場、回收存貨、再製造、廢棄六部分。假設決策者必需付諸一努力值以提升市場回收率，亦需付諸一努力值以提升回收後之使用率，故這兩個努力值會分別對應出一回收率函數與一使用率函數。　　另外，就製造商角度而言，由於付諸之努力值本身亦為一種成本，但付諸不同的努力值組合後會對應到不同的總成本，某些策略組合在付諸努力值後之總成本會低於未付諸努力值之總成本，故本研究探討在經濟訂購量型式之逆物流模型中，何種努力值策略下會對應到最低之總成本，當參數給定後，可透過Java求解或Matlab立體成本繪圖，成功找到需要付諸努力值的情境。 ;With the rise of environmental awareness in the twenty-first century, manufacturing order to reduce pollution and assume corporate responsibility, remanufacturing has aroused much attention of the company. On the other hand, remanufacturing make the best use of the returned items, open up the source and regulate the flow to reduce manufacturing cost, which is the critical technology that manufacturer should have. So how to encourage the consumer to enhance the return rate and invest related equipment to enhance the use rate has become a very important research topic for the manufacturing business. 　　This research mainly takes Dobos and Richter (2003) “the material flow in the model in a production and recycling cycle” as background, which separated the process of remanufacturing into six parts: production, serviceable stock, market, non-serviceable stock, recycling and disposal. Assume that the decision maker should give a sales effort to improve the return rate and also give a sales effort to improve the use rate, as a result, these two sales effort will correspond to the return rate function and the use rate function respectively. 　　Furthermore, in the view of manufacturing, sales effort are also kinds of cost. But different combinations of sales effort will correspond to different total cost. Some of the sales effort strategies will get a lower total cost after giving the sales effort. Therefore, this research also discuss what kind of sales effort strategies will correspond to the lowest total cost under a deterministic EOQ-type reverse logistic model. When the parameters are determined, we can successfully find out the situation which needs sales effort by Java or Matlab 3D graphics.
Appears in Collections:	[Graduate Institute of Industrial Management] Electronic Thesis & Dissertation

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