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  1. National Taiwan Ocean University Research Hub

Logistics Network Design of Closed-Loop Supply Chains for Sustainability Improvement

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基本資料

Project title
Logistics Network Design of Closed-Loop Supply Chains for Sustainability Improvement
Code/計畫編號
MOST103-2221-E019-050
Translated Name/計畫中文名
改善環境永續性之供應鏈物流網路問題之研究
 
Project Coordinator/計畫主持人
Wu-Hsun Chung
Funding Organization/主管機關
National Science and Technology Council
 
Department/Unit
Department of Transportation Science
Website
https://www.grb.gov.tw/search/planDetail?id=8361561
Year
2014
 
Start date/計畫起
01-08-2014
Expected Completion/計畫迄
31-07-2015
 
Bugetid/研究經費
480千元
 
ResearchField/研究領域
工業工程
 

Description

Abstract
近年來,因全球環保意識的高漲,環保法令的要求日趨嚴格,使得企業開始向低碳或綠色的生產 / 服務模式轉變。企業不但須負責生產(Manufacturing)、配送 (Distribution)及銷售 (Sale),還須負責售後的服務(Service)、維修(Repair /Maintenance)、回收再生(Recycling/Remanufacturing)及廢棄處理(Disposal)。因此,有關逆向供應鏈(Reverse Supply Chain)及封閉式供應鏈(Closed-loop Supply Chain)的研究逐漸受到的重視。與正向物流(Forward Logistics)相比,供應鏈的逆向物流(Reverse Logistics)具有回收產品品質不穩定、回收地點、時間及數量不固定、庫存數量不穩定、成本計算複雜等等特點,致使逆向或封閉式供應鏈的設施選址問題更加複雜難解。本研究目的在發展一個封閉式供應鏈物流網路的設計方法(Network Design),用以同時決定供應鏈正向與逆向物流設施的最佳位置配置,以期有效降低供應鏈系統成本及環境衝擊,發揮系統的最大綜效。有別於一般常見的分離空間設施選址問題(Discrete Facility Location Problem),所發展之方法將聚焦於連續空間的設施選址問題(Continuous Facility Location Problem)。 研究初步構想為尋找或發展一個適宜的群聚方法(Clustering Technique)對供應鏈內正向與逆向物流的各項供需據點(如需求點、回收點等)先依其位置屬性進行分群,將龐大的選址問題分解成多個規模小易於解算的物流選址次問題 (subproblems),接著再以啟發式方法逐步調整各個群集內物流設施至最佳位置配置。所發展之網路設計方法將針對不同供應鏈情境進行比較分析,並與其他方法進行橫向比較以瞭解其效能優劣。"Over the past decades, due to growing environmental concerns and stricter environmental regulations, the activities of enterprises gradually transform into low-carbon or green paradigms. Enterprises need to take care of not only manufacturing, distribution, and sale, but also after sale service, recycling, remanufacturing, and disposal. Therefore, the research on reverse supply chains or closed-loop supply chains draws attentions. Unlike forward logistics, reverse logistics in supply chains features stochastic product quality, inconsistent inventory, uncertain location, timing, and quantity of returned products, as well as complicated cost estimation. These features render reverse supply chain problems more difficult to model and solve than traditional supply chain problems. This research aims at developing a logistics network design method to simultaneously locate forward and reverse logistics facilities in a closed-loop supply chain to minimize overall supply chain costs and environmental impacts. In contrast to most of relevant research focusing on discrete facility location problems, this research will focus on continuous facility location problems. The research plans to apply a clustering technique to group demand and supply sites with geographic closeness at the initial stage and meantime to obtain the reference location of the facilities, so that a large and complex location problem can be divided into several small and simple location subproblems. Next, a heuristic considering demand & supply quantity, forward & reverse logistics, and location constraint will be developed to adjust the location allocation of the facilities to approach the optimal location allocation. The proposed logistics network design method will be used to analyze the various supply chain scenarios and compared with other network design methods to verify its effectiveness and efficiency. "
 
Keyword(s)
逆向物流
逆向供應鏈
封閉式供應鏈
設施選址問題
物流網路設計
Reverse logistics
Reverse supply chain
Closed-loop supply chain
Facility location problem
Logistics network design
 
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