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segments to be included in the solution. In some cases, the number of parallel lanes of a connection is to be decided as well. This optimization problem also needs the material flows between departments in the facility. This information is used to construct a “from–to” flowchart which is necessary for the guidepath design problem. In a work flow model, vehicle guidepaths are usually represented such that aisle intersections。nemann and Schmidt (2021) and Tompkins et al. (2021) in several respects. Rather than using fixed paths, many modern AGVs are freeranging, which means their preferred tracks are software programmed, and can be changed relatively easily when new stations or flows are added. A second difference is in the way they can be controlled. Agent technology allows decisions to be taken by these smart vehicles that in the past were taken by central controllers. This leads to adaptive, selflearning systems and is particularly appropriate for large, plex systems with many vehicles and much potential vehicle interference. These developments do not imply that the traditional decisionmaking problems bee obsolete. Rather, they lead to new challenges for research. We both discuss traditional AGVS’ decisionmaking problems and impacts of using freeranging AGVs on decisionmaking. 中英文資料 6 There are few review papers on AGV systems. However, they concentrate on only limited parts of the problem (Qiu et al. (2021) focus on scheduling and routing problems) or are not up to date (Co and Tanchoco, 1991。 附表 1 特征引導(dǎo)路徑系統(tǒng) 流拓 撲 數(shù)平行線 流動(dòng)方向 常規(guī) 單線 單向流動(dòng) 單回路 多重通道 雙向流 串聯(lián) 選擇一本指南,道路系統(tǒng)的適當(dāng)類型是重要的。例如,一個(gè)倉(cāng)庫(kù)內(nèi)的物資流是可以改變的隨著時(shí)間的推移,很難估計(jì)。在網(wǎng)絡(luò)流量模型,車輛引導(dǎo),路徑通常為代表,這樣過(guò)道路口 。最后,我們提出了一些富有成效的未來(lái)研究方向。我們都討論的傳統(tǒng) AGVS 中的決策問(wèn)題和使用的決策自由放養(yǎng)的 AGV 的影響。nemann 和施密特( 2021 年)和湯普金斯等人( 2021年)的書籍 中的