基于.NET技术的高校后勤报修系统设计与实现

随着高校办学规模的不断扩大,原基于师生服务中心的现场人工报修方式,已无法满足日益增长的后勤报修维修的需求。根据学校的实际情况,对学校后勤管理系统进行分析,得出高职院后勤管理系统应满足在线报修、在线查看、维修反馈、在线评价等功能的需求;同时对高校后勤报修系统进行系统架构设计、网络架构设计、UML类图设计、数据库设计等。通过C#完成系统的编写,最终实现后勤报修系统的开发。     

Mathematical formulation and heuristic algorithms for optimisation of auto-part milk-run logistics network considering forward and reverse flow of pallets

The operational planning of distribution network for automotive industry is complex with many conditions to consider, including heterogeneous fleet, enforcing the feasibility of 3D-packing of pallets into vehicles to address the vehicle's capacity in terms of weight and volume, compatibility of orders in a vehicle, returning empty pallets from assembly-plants backwards to suppliers, and delivery time windows. A mathematical model (MILP) is proposed that takes account of these conditions to minimise total transportation costs. The network structure can be a combination of direct shipment and milk-run for both forward and reverse flow of pallets. The model is solved optimally for small-size problems. For solving larger problems, a heuristic algorithm (in two versions) is proposed that uses a similarity measure to generate a reasonable list of orders. Best/first-fit strategies are employed to generate a feasible solution with the aid of a relaxed version of the proposed MILP. Improvement heuristics are also designed. Unlike most of existing constructive heuristics, our aim for developing the heuristic approach is to force routing decision, with all of its considerations, being made optimal. We also use the proposed best-fit strategy in the body of grouping evolution strategy (GES) algorithm to attain an effective meta-heuristic approach. The effectiveness of heuristics is tested on generated instances which demonstrates they are optimal for small-size problems. They are also tested on the data of daily auto-parts shipments gathered from the largest Iranian automobile company. Results demonstrate there exists a significant potential for cost saving through milk-run strategy compared with the direct shipping strategy.     

食品物流中存在的食品安全问题及对策

食品安全问题一直是人们关注的焦点问题, 因为其直接关系到人们的生存和健康发展。食品物流中的食品安全问题也越来越受到关注, 大部分研究主要从食品的腐败变质、污染等因素分析食品物流中存在的食品安全问题, 而对物流环节中可能引发的食品安全问题的研究较少。本文主要从为食品物流操作环节、冷链物流、物流信息化及技术投入4方面分析了食品物流中存在的食品安全问题, 分析了问题的原因, 并从完善法律法规、加强食品物流企业管理、建立完备冷链物流体系、提升信息化程度和加强技术投入方面提出了解决问题的对策, 以期为丰富食品物流中食品安全问题的相关理论, 解决食品安全问题提供参考。     

黑龙江大豆产业高质量发展研究—以海伦大豆为例（网络首发、推荐阅读）

黑龙江是我国最大的大豆优势产区，研究其大豆产业高质量发展的思路和有效路径，对于振兴我国国产大豆产业，推动供给侧改革，助力乡村振兴战略，促进地方产业经济发展，保障粮食安全具有重要意义。通过对黑龙江大豆产业现状和海伦大豆产业优势进行分析，结合国家重大产业政策导向，提出以海伦大豆为例，基于供应链、产业链、价值链“三链协同”的黑龙江大豆产业高质量发展思路，为推进“十四五”时期我国国产大豆产业发展提供参考。     

落后产能炼油企业向物流行业转型研究

落后产能炼油企业成本偏高、市场竞争能力不强,面临紧迫的转型压力。本文基于炼油企业的资源优势、市场需求、政策导向、财务效益等因素,根据企业转型战略要求和目标,分析落后产能炼油企业向物流行业转型的可行性和转型路径。     

Systematic literature review on city logistics: overview,classification and analysis

City logistics is one of the significant branches of supply chain management, dealing with the logistics and transportation activities in urban areas. This research area has recently appropriated an exponential growth of publications. This paper presents a bibliometric analysis along with a systematic literature review to organise the results of surveying more than 370 papers and research works published since 2010. We identify the top contributing research topics. The most common keywords used in the city logistics literature are referred to in order to propose six research categories identifying the main innovative research perspectives.     

废旧动力电池逆向物流模式及回收网络研究

以上汽集团所销售的电动汽车产生的报废动力电池为研究对象，建立了评价指标体系，并运用模糊综合评价法研究了废旧动力电池的逆向物流模式选择。研究发现，自营模式在总体上最适合上汽集团的电池回收。在具体指标方面，自营模式在经济和管理因素方面优势突出，外包模式在技术因素方面优势最为明显。最后，综合分析了上汽集团废旧动力电池回收的利益相关方和逆向物流过程所涉及的各个环节，建立了现阶段适合上汽集团发展的以自营模式为基础的复合型废旧动力电池逆向物流回收网络。     

Blockchain in global supply chains and cross border trade: a critical synthesis of the state-of-the-art,challenges and opportunities

Blockchain possesses the potential of transforming global supply chain management. Gartner predicts that blockchain could be able to track $2?T of goods and services in their movement across the globe by 2023, and blockchain will be a more than $3 trillion business by 2030. Nowadays, a growing number of blockchain initiatives are disrupting traditional business models in each sector. In this paper, we provide a timely and holistic overview of the state-of-the-art, challenges, gaps and opportunities in global supply chain and trade operations for both the private sector and governmental agencies, by synthesising a wide range of resources from business leaders, global international organisations, leading supply chain consulting firms, research articles, trade magazines and conferences. We then identify collaborative schema and future research directions for industry, government, and academia to jointly work together in ensuring that the full potential of blockchain is unleashed amidst the socioeconomic, geopolitical and technological disruptions that global supply chains and trade are facing.     

基于第三方物流的家具配送开放式车辆路径问题

为了降低家具配送成本,提高物流效率,基于第三方物流配送模式,构建了以总行驶距离最短和车辆数最少为最优目标的开放式车辆路径问题(open vehicle routing problem,OVRP)数学模型,并设计了一个改进的两阶段禁忌搜索算法进行求解,第1阶段求解包含所有客户的TSP(traveling salesman problem)路径来作为第2阶段划分OVRP路径的基础.设计了一个随机动态禁忌表,并将"邻域算子编号"和"邻域交换点对"同时作为禁忌对象,避免了过度禁忌的情况.另外,对5个邻域算子进行了测试,表明采用由点交换、分序点插入、点逆序和前点前向插入这4个算子组成的多邻域结构体效果最佳.经算例测试和文献对比,验证了设计算法的有效性,采用第三方物流配送比自营物流配送更节省成本.     

改进BP神经网络的再生粗骨料混凝土强度预测*

抗压强度作为评价再生混凝土主要性能指标之一,从四篇文献中搜集了43个抗压强度样本。基于改进的BP神经网络理论,建立了以再生粗骨料取代率、水灰比、龄期为输入,抗压强度为输出的神经网络模型,其结构形式为3-7-9-1。对该网络进行训练和学习,对并测试样本进行检测,结果表明,训练效率不仅大大提高,且而误差较小,并结合回归拟合系数,进一步表明该模型能够有效的的预测再生混凝土抗压强度值,能满足工程需要。