Challenger Motor Freight: Improving vehicle utilization in truckload transportation

Challenger Motor Freight：提高整车运输中的车辆利用率

• 批准号: 526729-2018
• 负责人: Bookbinder, James
• 金额: $ 1.82万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=645796
• 关键词: Challenger; Motor; Freight; Improving; vehicle

Challenger Motor Freight, a major Canadian trucking company with annual revenues of $300 million, operates**700 vehicles in its truckload division. This study concerns the firm's network in Ontario and Quebec, where**around 150 and 100 drivers are respectively domiciled. Challenger's truckload trips go mainly from those**provinces to the US Midwest or Atlantic Coast.**The goal of this research is to attain increased vehicle utilization, defined as the percentage of total miles**driven in which a revenue-generating load is carried. When the sum of all loads destined to, and departing**from, a group of nearby cities is approximately equal, the flow of freight is termed "balanced." Profitable**truckload operations tend to be balanced. We will thus develop a model to achieve enhanced vehicle utilization**from balanced operations.**A Canadian driver, once having crossed the US border, must come back to Canada. In building Challenger's**(irregular) routes, we will seek American-origin loads leaving from near a given truck's current location, and**whose destination is in Canada. Drivers based in Quebec or Ontario often carry a backhaul load from the US to**the other province. One constraint we will enforce concerns the work-life harmony. A driver is ideally home**for a couple of days after five days on the road, or is home for 3-4 days after 10 days away.**The deliverables from this project include a new optimization model that Challenger will be able use in**balancing its operational truckload network. This model, and its associated data, when kept current, will enable**the firm to enhance the efficiency of its operations by enabling them to achieve a sustained level of vehicle**utilization.

Challenger Motor Freight 是一家加拿大大型货运公司，年收入达 3 亿加元，其卡车运输部门运营**700 辆车辆。这项研究涉及该公司在安大略省和魁北克省的网络，其中**分别有大约 150 名和 100 名司机。 Challenger 的卡车装载行程主要从这些**省份前往美国中西部或大西洋海岸。**这项研究的目标是提高车辆利用率，定义为创收负载占总行驶里程的百分比**携带。当发往和离开一组附近城市的所有负载总和大致相等时，货运流量被称为“平衡”。盈利**卡车运输业务往往是平衡的。因此，我们将开发一种模型，通过平衡运营来提高车辆利用率**。**加拿大司机一旦越过美国边境，就必须返回加拿大。在构建挑战者号的**（不规则）路线时，我们将寻找从给定卡车当前位置附近出发且目的地位于加拿大的美国原产货物。魁北克省或安大略省的司机经常将回程负载从美国运送到**另一个省份。我们将实施的一项约束涉及工作与生活的和谐。理想情况下，驾驶员在路上行驶 5 天后可以回家**几天，或者在外出 10 天后回家 3-4 天。**该项目的交付成果包括 Challenger 将能够使用的新优化模型**平衡其运营的卡车网络。该模型及其相关数据如果保持最新状态，将使**公司能够实现车辆**利用率的持续水平，从而提高运营效率。