A bay allocation model is developed for outbound containers at container terminal based on objective programming, which aims at the problem of stack bay allocation for outbound containers. The model's objective fu...
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(纸本)9780769534886
A bay allocation model is developed for outbound containers at container terminal based on objective programming, which aims at the problem of stack bay allocation for outbound containers. The model's objective function is subject to the minimization of the moving distance of the yard crane when bringing outbound containers into yard and loading ships. To resolve the model, a hybrid algorithm which employs heuristic rule and distributed genetic algorithm, is then employed. Finally, a case simulation study has been used for system illustration, and then verifies the validity and usefulness of the model and the algorithm.
A multi-objective robust operation model is proposed in this paper for an electronic market enablexi supply chain consisting of multi-supplier and multi-customer with uncertain demands. Suppliers in this supply chain ...
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A multi-objective robust operation model is proposed in this paper for an electronic market enablexi supply chain consisting of multi-supplier and multi-customer with uncertain demands. Suppliers in this supply chain provide many kinds of products to different customers directly or through electronic market. Uncertain demands are described as a scenario set with certain probability;, the supply chain operation model is constructed by using the robust optimization method based on scenario analyses. The operation model we proposed is a multi-objective programming problem satisfying several conflict objectives, such as meeting the demands of all customers, minimizing the system cost, the availabilities of suppliers＇ capacities not below a certain level, and robustness of decision to uncertain demands. The results of numerical examples proved that the solution of the model is most conservative; however, it can ensure the robustness of the operation of the supply chain effectively.
In presented fuzzy multi-attribute decision-making （FMADM） problems, the information about attribute weights is interval numbers and the decision maker （DM） has fuzzy complementary preference relation on alternati...
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In presented fuzzy multi-attribute decision-making （FMADM） problems, the information about attribute weights is interval numbers and the decision maker （DM） has fuzzy complementary preference relation on alternatives. Firstly, the decision-making information based on the subjective preference information in the form of the fuzzy complementary judgment matrix is uniform by using a translation function. Then an objective programming model is established. Attribute weights are obtained by solving the model, thus the fuzzy overall values of alternatives are derived by using the additive weighting method. Secondly, the ranking approach of alternatives is proposed based on the degree of similarity between the fuzzy positive ideal solution of alternatives （FPISA） and the fuzzy overall values. The method can sufficiently utilize the objective information of alternatives and meet the subjective requirements of the DM as much as possible. It is easy to be operated and implemented on a computer. Finally, the proposed method is applied to the project evaluation in the venture investment.
The ranking problem of the hybrid judgment matrix is studied in this paper, a new method for priority of the hybrid judgment matrix is proposed. Firstly, a new type of hybrid judgment matrix is defined. The complement...
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The ranking problem of the hybrid judgment matrix is studied in this paper, a new method for priority of the hybrid judgment matrix is proposed. Firstly, a new type of hybrid judgment matrix is defined. The complementary and reciprocal judgment elements in the form of interval numbers, the complementary or reciprocal judgment elements in the form of triangular fuzzy numbers are made uniform into the complementary and reciprocal judgment elements of numerical values by using C-OWA operator, C-OWG operator and the expected value formula of triangular fuzzy numbers, respectively. Secondly, an optimization model based on the definitions of the consistency complementary and reciprocal judgment matrix is established. The ranking vector on alternatives is obtained by solving the model. The method is characterized by simple operation and easy to implement on a computer. Finally, an example is illustrated to show the feasibility and practicability of the developed method.
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