A mathematical model is proposed to minimize the sum of vehicle fixed cost, fuel cost, carbon-emission cost, cooling cost, time-penalty cost and split-compensation cost, on the basis of considering the three-level cold-chain-logistics network of manufacturer, distribution center, and seller. The model is constructed based on the constraints of customer time window, vehicle load, demand-splitable, and semi-open driving of multiple distribution centers. We to divide the customer areas according to geographical locations and to carry out the transportation processes in stages. The target solution, which includes vehicle routing, service time and type, cargo details, etc., has been formulated. A two-stage hybrid-heuristic-path-scheme solution algorithm that combines a taboo table, a genetic algorithm, an optimal-path-generation algorithm, a load-capacity-constraint algorithm, and a time-window-constraint algorithm is designed in view of the complexity of the model and the uniqueness of the solution scheme. This paper aims to reasonably plan the resource allocation of cold chain logistics enterprises, reduce the comprehensive cost of cold chain transportation, improve customer satisfaction, and respond to the green logistics policy advocated by the state by reducing vehicle transit time and fuel consumption, and promote energy conservation and emission reduction.

The code reuse technology based on the MVC framework is studied while implementing a project named "The comprehensive service system of fishing vessel inspection." Based on the concept of MVC, common reuse methods used in the project is illustrated from seven aspects, i.e. the inheritance reuse of master page in the View, layout code reuse in the web page design, login reuse in the Controller, server side program code reuse, the abstraction of reusable modules, control validation reuse in the Model, and the business logic code reuse. The implementation of these technologies in the project suggests that the combination of code reuse and the MVC framework may improve the efficiency of the development and provide good support for the maintainability of code.

Although there are some studies on chat log analysis, few focused on collaboration with clear boundary using IM (Instant Messaging) tool. This research captured a full chat log of a distributed collaboration work using popular IM software as the main communication medium. Then quantified analysis on the chat log was done with follow-up interviews to all participants. The comparison between count of messages sent and response intervals were classified by participants. Furthermore, the relation of response interval and message count was tested. The usage of emoticon was also counted and the implication was discussed. It is found that 99.95% of all IM messages contain less than 140 characters. Most of the participants reply within 24 seconds. The response interval has no signification correlation with the number of characters per message. Emoticon is an important part of IM that need further study.

Decarbonizing downstream steel logistics remains underexplored in sustainable supply chain management. This study proposes a machine learning-enhanced tri-objective optimization framework for the ship stowage planning problem (SSPP). The framework handles heterogeneous finished steel products, including coils, plates, ingots, tubes, and sections. The model simultaneously maximizes deadweight utilization and minimizes a novel Adaptive Weighted Moment Balance (AWMB) index. It also minimizes voyage carbon emissions through a trim-and-heel resistance penalty. A spatial-to-sequential discretization strategy transforms the NP-hard placement problem into a tractable permutation optimization. A deep neural network (DNN) surrogate achieves a 3.57-fold speedup with only 1.52% hypervolume degradation. An improved NSGA-III algorithm with adaptive operators ensures Pareto front exploration. Embedded step-wise moment verification guarantees dynamic stability throughout loading and unloading. Validated on real data from a Chinese steel enterprise, the framework achieves 99.88% deadweight utilization, reduces transverse and longitudinal imbalance by 48.27% and 90.54%, and cuts CO₂ emissions by 95.5% per voyage. SOLAS constraints, load line limits, and CII/FuelEU targets are addressed through embedded stability and capacity constraints. Multi-route and weather-dependent validation remains necessary before fleet-scale deployment.

In 2020, the Regional Comprehensive Economic Partnership (RCEP) initiated by the Association of Southeast Asian Nations (ASEAN) was officially signed; the RCEP is the largest free trade agreement in the world. As both Vietnam and China are important member countries of this agreement, the close trade cooperation that exists between Vietnam and China has important economic and political implications, and its development has been further improved by the Belt and Road Initiative (BRI). The vast majority of this trade is done through intermodal container transport, so efficient multimodal container transport has become necessary to enable cross-border trade. With the rapid development of China’s transportation infrastructure, Chongqing has become an emerging logistics hub in inland China. Hai Phong is the largest port city in Vietnam, and it has extensive multimodal transport infrastructure. In this paper, we scientifically evaluate the competing routes for the multimodal container transport supporting China-Vietnam trade, analyse eight transport routes from Chongqing to Hai Phong, and evaluate these routes with the Delphi and CFPR methods. This study can inform Chinese and Vietnamese trade enterprises in terms of selecting their preferred multimodal transport route strategies and the governmental authorities of both countries in making management decisions.