{"title":"Identifying an effective last-mile customer delivery option with an integrated eco-friendly inventory model","authors":"I. D. Wangsa, H. Wee, Y. Hsiao, Novrianty Rizky","doi":"10.1080/03155986.2021.2012403","DOIUrl":null,"url":null,"abstract":"Abstract In this study, we have developed an integrated inventory model for the last-mile delivery where the distributer supplies goods to his customers. Two services based on the type of deliveries are investigated, namely: 1) motorcycle delivery service, and 2) drone delivery service. The objective of this study is to identify an effective last-mile delivery option, considering both cost and eco-friendly factors. An algorithm is formulated to determine the optimal order quantity, safety factor, lead-time, total emission and the number of deliveries. The implication derived from our investigation is that: using motorcycle for the last-mile delivery may be faster than using drone, it is not as environmentally friendly. One of the disadvantages of using drone is the fact that current drone cannot carry too heavy loads or travel very long distances; we hope in the future more advanced drone will be able to overcome the disadvantage. Numerical examples and sensitivity analyses are provided to illustrate the proposed model. Finally, closing remarks and future research are given in the conclusion. From the comparison analysis, besides eco-friendly, the integrated total cost using drone is lower than motorcycle, with a cost-saving around 3-4%.","PeriodicalId":13645,"journal":{"name":"Infor","volume":"24 1","pages":"165 - 200"},"PeriodicalIF":1.1000,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infor","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/03155986.2021.2012403","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 4
Abstract
Abstract In this study, we have developed an integrated inventory model for the last-mile delivery where the distributer supplies goods to his customers. Two services based on the type of deliveries are investigated, namely: 1) motorcycle delivery service, and 2) drone delivery service. The objective of this study is to identify an effective last-mile delivery option, considering both cost and eco-friendly factors. An algorithm is formulated to determine the optimal order quantity, safety factor, lead-time, total emission and the number of deliveries. The implication derived from our investigation is that: using motorcycle for the last-mile delivery may be faster than using drone, it is not as environmentally friendly. One of the disadvantages of using drone is the fact that current drone cannot carry too heavy loads or travel very long distances; we hope in the future more advanced drone will be able to overcome the disadvantage. Numerical examples and sensitivity analyses are provided to illustrate the proposed model. Finally, closing remarks and future research are given in the conclusion. From the comparison analysis, besides eco-friendly, the integrated total cost using drone is lower than motorcycle, with a cost-saving around 3-4%.
期刊介绍：
INFOR: Information Systems and Operational Research is published and sponsored by the Canadian Operational Research Society. It provides its readers with papers on a powerful combination of subjects: Information Systems and Operational Research. The importance of combining IS and OR in one journal is that both aim to expand quantitative scientific approaches to management. With this integration, the theory, methodology, and practice of OR and IS are thoroughly examined. INFOR is available in print and online.
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