LTL shipment的問題,透過圖書和論文來找解法和答案更準確安心。 我們找到下列問答集和資訊懶人包

另外網站Shipping Truckload vs. Shipping LTL: What's the Difference?也說明:LTL : Shipments that are 1-10 pallets and generally under 20,000 pounds. There are different rate options depending on the size of the shipment.

國立高雄科技大學 電子工程系 王嘉男、楊素華所指導 威潘全的 運用 TRIZ 方法改善電子公司的生產成本 (2021),提出LTL shipment關鍵因素是什麼,來自於成本節約。

而第二篇論文國立臺灣科技大學 工業管理系 喻奉天、郭伯勳所指導 廖進發的 Integrated Dock-Door Assignment and Vehicle Routing Problem with Flexible Door Cross-Dock (2018),提出因為有 cross-dock、integrated assignment routing problem、mixed service mode dock-door、simulated annealing、adaptive neighborhood的重點而找出了 LTL shipment的解答。

最後網站LTL Shipment Tracing | PITT OHIO則補充:LTL Shipment Tracing - Enter up to 10 LTL Pro numbers or up to 10 LTL BOL numbers to view current shipment status.

接下來讓我們看這些論文和書籍都說些什麼吧:

除了LTL shipment,大家也想知道這些:

運用 TRIZ 方法改善電子公司的生產成本

為了解決LTL shipment的問題,作者威潘全 這樣論述:

在當前的全球產業下,電子製造領域規模最大,在競爭日益激烈的全球市場中,越來越多的公司被迫降低成本,以繼續在市場中保持競爭地位,然而,多數公司對於新產品在投產前的設備、自動化、人力資源等成本的投入等規劃,幾乎不考慮節約成本,這階段最重要的是生產、產能、產質的穩定運行。本研究使用了TRIZ方法及其工具,如39個工程參數、矛盾矩陣、40個發明原理,針對一真實的產線進行研究改進和降低成本,結果顯示,該產線可減少了八名工人,每個工人的工資大約是每月 400 美元,因此一年可以節省至少 38,400 美元。這種改進受到該公司高度的肯定,因為不需要任何額外的成本投入,但仍確保產品達到客戶出貨要求的產量和品

質,此外,本研究還可以推展到其他具有類似功能的產線,替工人和設備的成本節約提供可觀的貢獻。關鍵詞:工程參數,成本節約,矛盾矩陣,發明原理

Integrated Dock-Door Assignment and Vehicle Routing Problem with Flexible Door Cross-Dock

為了解決LTL shipment的問題,作者廖進發 這樣論述:

This research proposes the utilization of a mixed service mode dock-door instead of an exclusive service mode dock-door inside a cross-dock facility. In the mixed service mode dock-door, a door (called a flexible door) can be assigned as an inbound door or as an outbound door depending on the situa

tion. Inbound trucks from the supplier site need to be assigned to the inbound doors, while outbound trucks are dispatched from the outbound doors and deliver the products to customers. The objective of this problem is to decide which doors are selected to either the inbound or outbound doors, assig

n suppliers to inbound doors, and construct the vehicle routes to deliver products to customers, such that the total transportation and material handling (to move products from inbound to outbound door) costs are minimized.We generate a problem set and develop a mathematical programming model to sol

ve the problem. Because of the limitation of commercial software (CPLEX) in solving large problems, we propose a simulated annealing (SA) algorithm and test it on the same dataset. When solving the mixed service mode dock-door model and within the 2-hour running time limit for CPLEX (only for 25 and

50 customers), SA is able to find 28 of the same optimal solutions as CPLEX and enhances 27 solutions from a total of 58 problems. When solving the exclusive service mode dock-door model and within the 2-hour running time limit for CPLEX (only for 25 and 50 customers), SA is able to find 34 of the

same solutions as CPLEX (30 of them are optimal) and enhances 23 solutions from a total of 58 problems. Finally, we compare the total costs between using an exclusive service mode dock-door and a mixed service mode dock-door, in which the former presents 8% cost savings versus the latter, especially

in a large problem (50 customers, 20 dock-doors).