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The aim of our study is to develop a network-based autonomous learning model for information thinking. We combine the characteristics of the network learning and teaching mode to create an autonomous learning model which we call Online Independent Learning Model Based on Information Thinking (OILMIT). The OILMIT goes through a number of steps for information gathering, raising the question, in-depth...
This study explores a theoretical research with a structural equation modeling based on literature reviews to investigate the factors affecting the hybrid learning performance of logistics engineering. In pursuit of a high-quality research, we collected and tested the relevant data measured for statistical analysis. As the consequence, we discovered that epistemological beliefs and good learning strategies...
Traveling salesman problem is one of most famous problems in Combinatorial Optimization. This paper presents a case study of ANJI-CEVA AUTOMOTIVE LOGISTICS CO., LTD. We formulated their problem as a traveling salesman problem and, with the use of relative coordinates of the locations as problem parameters, solved the traveling salesman problem by simulated annealing and our final solution is shown...
This study proposes a new inventory model of deteriorating items with price reduction and backlog. In this paper, both pricing and backlog are considered. It proposes the solution procedure for the new model, and conducts one numerical example to verify the effectiveness of the new inventory model. Finally, it provides some potential issues for future research.
In this study, we combine improved AHP with fuzzy evaluation to make a location decision. Specifically, it firstly introduced a new improved AHP with fuzzy methods, which changes the traditional scale from 1–9 to 0–2, and it is convenient to score the indicator system for experts, then conducted an empirical analysis to choose the candidate location for Haitong Port Parts Center, and finally proved...
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