The Planning of E-Commerce Distribution Systems with Considerations of Delivery Options and Uncertainty

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Project title

Code/計畫編號

MOST109-2221-E019-008

Translated Name/計畫中文名

考量遞送選項及不確定性的電子商務配送系統規劃模式之探討

Project Coordinator/計畫主持人

Jenn-Rong Lin

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=13540189

Year

2020

Start date/計畫起

01-08-2020

Expected Completion/計畫迄

31-01-2022

Bugetid/研究經費

650千元

ResearchField/研究領域

交通運輸

雖然過去幾年台灣及全球電子商務市場快速成長，電子商務市場競爭卻更加激烈，競爭的關鍵在於那一家電子商務零售商最能提供符合客戶期待的快速便利的配送服務，為爭取競爭的優勢電子商務零售商必須提供快捷的配送及多元的遞送地點選項(包括宅配、實體店鋪、便利商店及智能取貨站)，供客戶在便利的時間及便利的地點取貨。此外，城市人口快速成長及城市壅塞的交通讓電子商務在城市配送變成艱難複雜的工作及挑戰，因此，本研究發展出創新電子商務配送系統滿足顧客的即時及彈性配送需求並提升配送的效率。雖然過去有很多研究探討電子商務配送系統，但探討考量多元的遞送地點選項及不確定性的電子商務配送系統規劃之文章確非常少。因此，本研究計畫的目標，在於探討規劃建構考量多元的遞送地點選項、不確定因素的電子商務配送系統，第一年計畫的目的在建構及分析考量多元的遞送地點選項、不確定需求及隨機旅行時間的電子商務配送系統規劃模式，第二年計畫的目的在構及分析考量考量多元的遞送地點選項、不確定需求、隨機旅行時間及備用配送員的電子商務配送系統規劃模式，並發展出以混合基因演算法及繞徑之啓發式演算法為基礎的抽樣平均近似法之演算法求解此規劃問題。Although the E-commerce market has grown rapidly in Taiwan and globally over the past few years, the battle of market shares of customer spend between E-commerce retailers becomes fiercer. The battleground is increasing focused on who can best meet customer expectation for speedy and convenient delivery experiences. To make customer positive delivery experience as their competitive advantage, E-commerce retailers have to offer speedy delivery and a range of delivery locations to customers including home, stores, convenience stores and smart locker stations to allow customers to pick up their ordered shipments at their convenience time slots and convenience locations. The ability to provide customer positive delivery experience determine an E-commerce retailer success. In addition, the rapid rise of E-commerce and urban population growth are creating new and intricate challenges for E-commerce last-mile delivery in urban areas. The traffic congestion in urban areas has transformed E-commerce last-mile delivery into a very intricate engineering task. Therefore, an innovative E-commerce distribution system with flexible delivery options is proposed to lessen customer’s burden of waiting, to meet customer’s delivery expectations, and to enhance the efficiency of delivery. Despite of rapid growth in online shopping, there is relatively few literature published on the planning of E-commerce distribution systems with consideration of flexible delivery options and uncertainty in urban areas. This encourages us to carry out this two-year study to address the logistics issues concerned by E-commerce retailers in the planning of distribution systems and to evaluate if the proposed E-commerce distribution system is economical. The first-year project focuses on formulating and analyzing a robust planning model for E-commerce distribution systems in urban areas with the considerations of delivery route duration, uncertain demands and stochastic travel times. A chance-constrained stochastic model is presented. The second-year project focuses on formulating and analyzing a robust planning model for E-commerce distribution in urban areas with the considerations of delivery route duration, uncertain demands, stochastic travel times and usage of back-up contract couriers. A scenario-based stochastic model is presented for this problem. A hybrid genetic-algorithm embedded with a routing heuristic will be developed to solve the scenario-based stochastic model. A sample average approximation method is then developed to solve the two chance-constrained stochastic models.

Keyword(s)

電子商務
配送系統
最後一哩配送
二階區位途程問題
隨機車輛途程問題
基因演算法
抽樣平均近似法
E-commerce
Distribution systems
Last-mile delivery
Two-echelon Location routing problems
Stochastic vehicle routing
Genetic algorithms
Sample average approximation

DSpace CRIS

The Planning of E-Commerce Distribution Systems with Considerations of Delivery Options and Uncertainty

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