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Modern aspects of innovative management in transport system are based on strategic priorities in branch development and the project management approach. This approach can solve the problem of justification of the system of criteria for selecting technical and technological innovations and assessing their competitiveness. The result of this approach is determination of the balance level of the aggregate...
Implementing a successful warehouse management system from scratch contains many challenges of different nature. The most important aspect is the financial status of the company that is implementing the system. How many resources is the company willing to spend is always a difficult dilemma. The second important issue is the actual usefulness of the developed solution. If the system cannot be implemented...
The article presents an approach for the building of institutional and organizational fundamentals of a regional marine transportation system strategic development by means of adaptation of a modern vision of the cluster functional purpose and formalization of a structural and logical model of the regional marine transport and logistics cluster model.
Brazil is one of the major crops producer in the world, and second and third soybean and maize producer respectively. Among Brazilian States, Mato Grosso State represents near 23% of the national production in grains. Despite these numbers, there is no diagnosis of the static grain storage capacity at the municipal or state level. The aim of this paper is to evaluate the grain storage deficit in Mato...
In the present paper the issue of horizontal cooperation in a road transportation network is tackled. Different road trips belonging to a set of carriers that form a coalition are shared, with the final goal of maximizing the carriers' profit. The higher the number of carriers belonging to the coalition, the greater the possibility of obtaining profitable trip combinations; however, this makes also...
This article investigates how omni-channel services operations are building technology-based business networks. It uses a case study research, which includes multiple sources of data collection for triangulation purposes, to study a real-life phenomenon. The results suggest that omni-channel companies are changing their landscape to business networks, looking for competitive advantages over their...
The growing importance of the online channel and the increased deployment of new technologies such as smart mobile devices and social networks create new opportunities and challenges for traditional retailers. The retailing industry is moving to a new phase, in which the distinctions between traditional and online channels disappear, namely omni-channel (OC) retailing. The new challenge is to understand...
Due to change in customer requirements, companies, especially MTO companies, started focusing on the internal flow. Therefore the study of different production planning techniques, particularly order review and release methods, in a pure flow shop is slowly becoming important. Literature shows that research so far is mostly confined in theoretical studies, but there is scarcely any evidence of applying...
The Maximum Diversity (MD) problem is the process of selecting a subset of elements where the diversity among selected elements is maximized. Several diversity measures were already studied in the literature, optimizing the problem considered in a pure mono-objective approach. This work presents for the first time multi-objective approaches for the MD problem, considering the simultaneous optimization...
A range of algorithms was used to classify online retail customers of a UK company using historical transaction data. The predictive capabilities of the classifiers were assessed using linear regression, Lasso and regression trees. Unlike most related studies, classifications were based upon specific and marketing focused customer behaviours. Prediction accuracy on untrained customers was generally...
This paper presents a machine learning method for event-driven stock prediction, using L1 regularized Logistic regression model. It studies the stock price movement after listed companies make announcements. The model uses specific events extracted from these announcements and combine with financial indicators of listed companies, macro indicators, and technical indicators as dependent variables....
This paper intends to find the critical success factors for smart green city logistics business in Fuzhou. We first investigate and collect the factors that impact the operations of smart green city logistics business. In order to acquire the experts’ assessments on the influence between each two factors, we invite the managers who serve in the top five logistics companies in Fujian and conduct expect...
This paper addresses the disruption problem caused by the request changes of customers in a predetermined vehicle distribution plan. In this paper, vehicle routing problem with simultaneously pickup and delivery (VRPSPD) is considered. Based on the idea of disruption management, the impacts of disruption issues on both cost and service time were analyzed. A disruption management model was established...
This article clarifies the logistics enterprise's trade credit risk, demonstrates and comments a typical practice case in China. A dynamic trade credit management system model combining outsourced credit monitor and self-adaptive assessment is proposed. Special attention is given to the application prospects of big data in related researches and practices in future.
Even though the first attempt to develop a vehicle-sharing system can be traced around 1950, only in the last decade it was possible to see an increase both in members and in service providers. This increase is mainly fostered by strong developments in the IT sector, which allow car-sharing companies to offer easier solutions to their members, such as vehicle localization and booking and electronic...
Due to the present scale and increasing development of industry the capacity of logistics centers cannot meet the resultant demands. To meet these demands many new technologies in the logistics industry are developing such as dense storage. Dense storage can allow a company to efficiently use storage space and this technology is applicable to all industries in various ways. This paper reviews the...
System landscapes within logistical scenarios is highly heterogenic. Adding specific mechanisms, e.g. to support planing, monitoring and analyses for fully electrical powered vehicles, could become a mess or at least a challenge. While our project Smart City Logistic (SCL) is trying to manage this extension for multiple logistic scenarios, other projects want to do comparable system extensions as...
This work focuses on wide-scale freight transportation logistics motivated by the sharp increase of on-line shopping stores and the upsurge of Internet as the most frequently utilized selling channel during the last decade. This huge ecosystem of one-click-away catalogs has ultimately unleashed the need for efficient algorithms aimed at properly scheduling the underlying transportation resources in...
In this paper, we build a duopoly game model consisting of two logistics enterprises and a third-party company, with the consideration of the cost, quality, and competitions among the players, to analyze the equilibriums under different situations with the objective of maximizing the interests of all parties involved. Then we examine the relationships between the dominate strategies and the key game...
In inventory financing business, the collaterals' value may deteriorate due to poor supervision of Third Party Logistics Providers (3PLs), which can influence the default probability of financing enterprises and further the commercial banks' profits. Considering the supervision effort level of 3PLs, this paper studied the issue of optimizing loan-to-value (LTV) ratios of banks with underside risk...
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