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Study on logistics project risk will give helpful information for managers to make decision or manage risk. Therefore, it is meaningful to evaluate the logistics project risk. This paper gives evaluation indexes system of logistics risk firstly, Then combines the unascertained theory with fuzzy method, and gives the evaluation model of logistic project risk basing on unascertained theory and fuzzy...
Through studying the informatization index systems of both domestic and foreign enterprises, this essay sets up an informatization evaluation index system for enterprises in Henan Province, based on their essential characteristics and present situation. The evaluation index system includes application status of informatization, construction level of enterprise infrastructure, strategic planning level...
The paper makes the model of multilevel fuzzy optimization into location decision on distribution center of emergency logistics for emergency event, and uses information entropy and analytical hierarchy process to determine the combined weight of the indexes, which provides a new way for location decision on distribution center of emergency logistics. Finally, an example is used to validate the feasibility...
The urban rail transit which has large capacity will become main transfer way and change the structure of transfer to certain extent in urban railway passenger hub. The research on the influencing factors for choosing urban rail transit is premise for the optimal arrangement of capacity on urban rail transit which matches with transportation demand in urban railway passenger hub. According to the...
Based on the researches of the perceived risks in the Web, we construct a model to deal with the perception how to influence customers to buy in the field of C2C . Then, get 192 effective questionnaires through Internet survey. It is proved store risk, product risk, and delivery risk are 3 dimensions of C2C consumers' risk perception. The effects of product risk influence consumers' purchasing intention...
Outsourcing logistics business can improve core competition of enterprise. So it is of vital importance to evaluate logistics service quality. Fuzzy Comprehensive Evaluation Method is an effective method. In this paper, we take logistics company M as studying object. We construct evaluation index and mathematic model. By quantifying index and calculating, we conclude that the service quality of logistics...
By using the existing cellular network, measuring the location characteristic parameters TOA and TDOA of mobile terminal, and combining sector information for data fusion, a dynamic positioning algorithm based on the location of a mobile station was constructed, and a modified data fusion model was proposed. By analyzing the Chan algorithm based on TDOA and its characteristics in detail, data fusion...
This paper presents a method for studying the occurrence of loss of component scenarios in a power system using stochastic point process modeling. It can manage stationary and non stationary failure and repair rates, common mode failures of any order, components with any number of operating states and diverse repair logistics. The failure and repair sequences in each maintenance zone of the power...
A basic part of the logistics management in companies is the purchasing function, and the appropriate selection of vendors is one of the prime responsibilities of this function. Many conceptual and analytical models have been developed for addressing the vendor selection problem. While it has been recognized that vendor selection is multiobjective in nature, litle has been done to develop techniques...
In order to avoid repetitive FMECA (Failure Modes, Effects and Criticality Analysis) in supportability analysis tasks FMECA outcome data from reliability analysis is usually successively utilized tasks. But engineer usually encounter difficulties including that indenture levels definition are difference between reliability and supportability analysis and that FMECA outcomes data may not be directly...
We need to consider not only service quality but also the purchase and maintenance cost when setting the RAMS requirements for rolling stock. This article suggests one indicator to evaluate the effectiveness of the RAMS requirements which is LCC (life cycle cost). A new LCC model is suggested which is based on LCC elements affected by RAMS requirements. Acquisition cost, maintenance cost and hazard...
The belt transport with storage bins is a kind of common transport mode for loose material. Theoretically storage bin have many virtues, but in practice the whole transport system will become very complex after setting storage bin. Until recently there have been many references studying availability of storage bin transport system, Compared with some existed references, this paper presents a new practical...
The empirical context of the study is the third party logistics (3PL) sector. The 3PL market serves as an interesting example as it has evidently grown in complexity, moving from commodity services (transport and warehousing) to increasingly bundled and value added solutions (e.g. supply chain design). Faced with such an unbounded industry and blurred offerings (see Gluckler and Ambruster, 2003),...
Protein function determination is one of the most important issues in biology research. In this paper, a new method, which is based on logistic regression method, is introduced to predict protein function from protein-protein interaction data. In the proposed method, associations among different functions are taken into account by representing a protein using all the functional annotations of its...
The paper establishes an evaluation index system of location decision on distribution centers of emergency food logistics. Then it puts forward a model combining Radial Basis Function Neural Network (RBFNN) with improved Ant Colony Optimization (ACO) algorithm, which has not only the capability of high non-linear mapping via neural network, but also the characteristics of high efficiency, global convergence,...
The situation is constructed when the tests are considered as events and the spare test equipments are considered as strategies. Then the model of grey situation decision for the test equipment selection and deployment (TESD) is founded. Through analyzing each decision objectives, their relative weights are calculated via analytic hierarchy process (AHP). The grey situation effect matrix under each...
Condition based maintenance plus (CBM+) can be described as optimal condition based maintenance (CBM) procedures defined by applying the principles and process of reliability centered maintenance. This approach offers a rigorous and disciplined method, based on the system FMECA, to determine the least cost maintenance policy and procedures that are consistent with acceptable levels of safety and readiness,...
Supply chain event management (SCEM) systems are decision support systems that allow for monitoring, prioritizing and reacting to events pertaining to the flow of goods in a supply chain. A major current trend in logistics concerns the tracking of materials by using the radio frequency identification (RFID) technology. RFID reader data can be contextualized in the form of standardized supply chain...
This paper has three objectives. The discussion of reliability and Chaos in the general context of reliability theory, including the reliability of Wireless Sensors Network (WSN, e.g., a prognostics sensors network in a PHM system), constitutes the first objective of this paper. The second objective discusses the WSN reliability and survivability inspired by the analogical similarity between insect...
??Selective maintenance?? models determine the optimal subset of desirable maintenance actions to perform when maintenance resources are constrained. We analyse a corrective selective maintenance model that identifies which components to replace in the finitely long periods of time between missions performed by a series-parallel system. We formulate this multi-mission problem as a stochastic dynamic...
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