ピシュバ ダバー
PISHVA Davar 所属 立命館アジア太平洋大学 サステイナビリティ観光学部 職種 教授 |
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言語種別 | 英語 |
発行・発表の年月 | 2015/03 |
形態種別 | 論文(学術誌・プロフェショナル誌) |
査読 | 査読あり |
標題 | Optimization of Convenience Stores’ Distribution System with Web Scraping and Google API Service |
執筆形態 | コレスポンディング |
掲載誌名 | ICACT Transactions on Advanced Communications Technology (TACT) |
巻・号・頁 | 4(2),pp.596-606 |
著者・共著者 | T. Q. Le, D. Pishva |
概要 | Vehicle Routing Problem (VRP) has never become an obsolete research theme in the field of operations research and supply chain management. Considering that significant number of researchers have already tried addressing VRPs with mathematical modeling and algorithmic approaches, this paper focuses on a practical implementation and employs programming techniques to cope with a particular business problem in convenience stores’ distribution system. It optimizes goods distribution process of convenience stores business, which involves lorries delivering products from a warehouse to a network of several convenience stores in a single trip, collecting their garbage, passing by a gas station for re-fueling when needed, and returning back to the warehouse. A mathematical ‘network flow model’ is initially developed to examine the problem. Geographical data of convenience stores, their associated warehouses, garbage dumpsites and gas stations are subsequently retrieved through programming with the ‘web scraping’ technique. A prototype of web-based delivery navigation system that utilizes Google API service is then developed to solve the optimal convenience stores’ networking problem. Furthermore, a more general perspective of the problem is illustrated with cluster-first-route-second heuristic algorithm and a mobile version of the prototype, which can serve as a real time navigation system for delivery truck drivers, is developed. Validity of obtained results is also examined by other known methods to justify optimality and fast performance of the approach. |
ISSN | 2288-0003 |