床墊運送車輛派遣最佳化之研究;Optimal Vehicle Dispatch for Transporting Mattresses

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题名:	床墊運送車輛派遣最佳化之研究;Optimal Vehicle Dispatch for Transporting Mattresses
作者:	蕭佳晏;Hsiao, Chia-Yen
贡献者:	土木工程學系在職專班
关键词:	床墊運送;車輛派遣;最佳化;整數規劃;LINGO;mattress transportation;vehicle dispatching;optimization;integer programming;LINGO
日期:	2024-06-26
上传时间:	2024-10-09 14:43:02 (UTC+8)
出版者:	國立中央大學
摘要:	面對原油價格不斷攀升和同業競爭日益激烈的挑戰，貨運公司亟需採取有效措施以確保貨物順利派送。同時，有效管理和協調各項環節，實現最大化利潤，已成為管理者迫切需要解決的重要課題。本研究以某貨車公司的車輛資源為例，專注床墊促銷活動、特賣會、周年慶等各種大型銷售活動，撤櫃時於床墊運輸車輛的派遣工作。研究提供車輛資源、車輛限制、運送需求、時間窗口及各成本等參數，旨在尋找運輸最佳化的解決方案。研究中構建數學模型，使用電腦軟體 LINGO 18.0 進行運算，並搭配電子試算表程式輸出資料，建立最佳化的派遣模式。再透過敏感度分析，對運輸天數、需求量、運輸限制、車輛數量及種類等方面進行深入分析，探討此因素對運輸效率和成本的影響，以供決策者參考，有助於節省時間和成本，同時提高運輸的經濟效益和競爭力，最終實現市場供需的平衡。;In the face of rising crude oil prices and increasing competition within the industry, freight companies urgently need to take effective measures to ensure the smooth delivery of goods. Effective management and coordination of various aspects to maximize profits has become an important issue that managers need to address urgently. This study takes the vehicle resources of a truck company as an example, focusing on the dispatching of mattress transportation vehicles during large-scale sales events such as mattress promotions, special sales, and anniversaries, particularly during the withdrawal phase. The study provides parameters such as vehicle resources, vehicle constraints, delivery demands, time windows, and various costs, aiming to find an optimized transportation solution. The study constructs a mathematical model, uses the computer software LINGO 18.0 for computation, and employs electronic spreadsheet programs to output data, establishing an optimized dispatching model. Through sensitivity analysis, the study conducts an in-depth analysis of factors such as transportation days, demand quantity, transportation constraints, vehicle number, and types, to explore the impact of these factors on transportation efficiency and costs. This provides a reference for decision-makers, helping to save time and costs while improving transportation economic efficiency and competitiveness, ultimately achieving a balance between market supply and demand.
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