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论文编号：	16052
作者编号：	2320233845
上传时间：	2026/6/4 10:24:09
中文题目：	S公司多式联运服务方案优化研究
英文题目：	Research on the Optimization of Multimodal Transport Service Scheme for Company S
指导老师：	李勇建
中文关键字：	多式联运；服务优化；成本控制；绿色物流；运营效率
英文关键字：	multimodal transport; service optimization; cost control; green logistics; operational efficiency
中文摘要：	在物流高质量发展、交通运输结构优化及双碳战略背景下，推动物流行业降本增效与绿色低碳转型已成为国家物流产业发展的核心任务。多式联运作为高效、低碳、资源集约化的运输模式，是降低全社会物流成本、优化综合运输体系、实现物流绿色升级的关键路径。当前，中小物流企业传统联运模式普遍存在运营粗放、衔接效率低、能耗与成本偏高的问题，难以适配行业发展政策与市场需求。本文以S公司为研究对象，开展多式联运服务方案优化研究。 本文以多式联运运营、绿色物流建设、服务优化及成本控制相关学术理论为支撑，结合S公司实际经营数据与业务场景，从运输组织规划、业务服务流程、成本管控机制、信息联动水平、绿色运营建设五大维度剖析企业现存问题。结果显示，S公司存在运输搭配方案不合理、干线运输规划滞后、作业流程繁琐冗余、整体运营成本较高、各业务环节信息割裂、低碳运输落地程度不足等诸多运营弊端。针对以上问题，本文对企业多式联运服务体系进行整体性优化，通过调整运输组合方式、迭代干线运输方案，改善联运衔接效率；梳理并精简全链条服务流程，搭建标准化服务质量管控机制；落地精细化成本治理模式，有效压缩物流运营成本；结合行业政策完善低碳运输体系，推进企业绿色化运营转型。 为保障优化方案落地落地执行、长效运营，本文制定阶段性落地实施方案，排查业务运营、技术迭代及市场环境等潜在风险并制定针对性防控手段，同时依托组织搭建、制度完善、技术赋能、人才培育四大维度构建全方位保障体系。研究证实，本次优化方案能够有效弥补S公司多式联运的运营缺陷，提升企业整体服务水准与运营效率，减少企业及社会层面物流成本，夯实企业绿色运营能力与市场竞争优势。后续企业可持续完善多方联运协同机制，加快数字化智能技术落地应用，持续更新优化服务体系，助力国内物流产业高质量与绿色化发展。
英文摘要：	Driven by the advancement of high-quality logistics development, transportation structure upgrading and national dual-carbon policies, facilitating cost savings, efficiency enhancement and green transformation has emerged as a primary initiative for the sustainable development of the domestic logistics sector. Characterized by high efficiency, low carbon emission and resource intensification, multimodal transport serves as a vital approach to cut down societal logistics expenditures, perfect integrated transportation frameworks and advance the green transformation of the logistics industry. Nevertheless, most small and medium-sized logistics providers still rely on backward and extensive intermodal operation modes, featuring poor connection efficiency, excessive energy consumption and rising operational expenses, failing to comply with updated industrial policies and market requirements. Taking S Company as the research subject, this thesis explores the optimization strategies for multimodal transport service solutions. Combined with the practical operational data and business scenarios of S Company, this thesis adopts theoretical foundations covering multimodal transport operation, green logistics development, service upgrading and cost management to analyze corporate operational dilemmas from five perspectives: transportation organization planning, business service procedures, cost management systems, information interaction and green operation construction. The analysis reveals prominent operational weaknesses within S Company, such as unreasonable transportation portfolio design, outdated trunk route planning, complicated and repetitive operational workflows, excessive comprehensive operational costs, insufficient information sharing among business departments, and inadequate low-carbon transport practice. To tackle these existing drawbacks, this thesis carries out comprehensive optimization on the enterprise’s multimodal transport service system. The adjustment of transportation portfolios and renewal of trunk line schemes effectively boost intermodal docking efficiency. The reorganization and simplification of full-process business procedures support the establishment of standardized service quality supervision systems. Adopting refined cost management methods achieves tangible logistics cost reduction. Meanwhile, the improvement of low-carbon transport systems in accordance with industrial policies accelerates the enterprise’s green transformation progress. To guarantee the sustainable and effective implementation of optimized service solutions, this thesis designs phased implementation roadmaps, assesses potential risks arising from daily operations, technical upgrading and market fluctuations, and puts forward targeted risk prevention and governance measures. A multi-dimensional supporting system is established in terms of organizational construction, institutional improvement, technical innovation and professional talent cultivation. The research results confirm that the optimized solutions can effectively resolve the operational bottlenecks of S Company’s multimodal transport business, promote comprehensive service levels and operational proficiency, reduce both corporate and societal logistics expenditures, and enhance the enterprise’s green operational capacity and market competitive advantages. In the long run, S Company can continuously improve cross-party intermodal cooperation mechanisms, promote the deployment of digital and intelligent logistics technologies, and iteratively upgrade its service system, thereby contributing to the high-quality and eco-friendly development of the domestic logistics industry.
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