Partner selection is an active research topic in agile manufacturing and supply chain management. In this paper, the problem is described by a 0-1 integer programming with non-analytical objective function. Then, the ...Partner selection is an active research topic in agile manufacturing and supply chain management. In this paper, the problem is described by a 0-1 integer programming with non-analytical objective function. Then, the solution space is reduced by defining the inefficient candidate. By using the fuzzy rule quantification method, a fuzzy logic based decision making approach for the project scheduling is proposed. We then develop a fuzzy decision embedded genetic algorithm. We compare the algorithm with tranditional methods. The results show that the suggested approach can quickly achieve optimal solution for large size problems with high probability. The approach was applied to the partner selection problem of a coal fire power station construction project. The satisfactory results have been achieved.展开更多
针对建设工程类项目中进行时间费用权衡的现实需求,以及资源转移成本对逻辑关系的固有影响,提出综合考虑施工顺序可变以及允许多施工组同时施工的软逻辑关系模型,同时引入资源转移对逻辑关系的选择进行限制,以工期和费用的双目标权衡为...针对建设工程类项目中进行时间费用权衡的现实需求,以及资源转移成本对逻辑关系的固有影响,提出综合考虑施工顺序可变以及允许多施工组同时施工的软逻辑关系模型,同时引入资源转移对逻辑关系的选择进行限制,以工期和费用的双目标权衡为目标构建问题数学模型(comprehensive soft-logic scheduling problem of repetitive projects with resource transfer,CSLSPRPRT)。针对引入软逻辑带来的复杂性提升,以及静态拥挤度选择方法的固有缺陷,设计基于个体多样性自适应和动态拥挤度的改进遗传算法(NSGA-Ⅱ/IDDC)。仿真实验结果表明,该方法能在不同规模的实际场景下优化项目工期和费用,改进后算法能获得更多的可行解数量和更好的算法收敛性。展开更多
In this paper, the feasibility and objectives coordination of real-time optimization (RTO) are systemically investigated under soft constraints. The reason for requiring soft constraints adjustment and objective relax...In this paper, the feasibility and objectives coordination of real-time optimization (RTO) are systemically investigated under soft constraints. The reason for requiring soft constraints adjustment and objective relaxation simultaneously is that the result is not satisfactory when the feasible region is apart from the desired working point or the optimization problem is infeasible. The mixed logic method is introduced to describe the priority of the constraints and objectives, thereby the soft constraints adjustment and objectives coordination are solved together in RTO. A case study on the Shell heavy oil fractionators benchmark problem illustrating the method is finally presented.展开更多
基金This work was partly supported by the National Natural Science Foundation of China (Grant Nos.69974039, 60084003) and the National High-Tech Program (Grant No. 863-511-9844-011) of China and partly by the Hong Kong Polytechnic University research grant(G
文摘Partner selection is an active research topic in agile manufacturing and supply chain management. In this paper, the problem is described by a 0-1 integer programming with non-analytical objective function. Then, the solution space is reduced by defining the inefficient candidate. By using the fuzzy rule quantification method, a fuzzy logic based decision making approach for the project scheduling is proposed. We then develop a fuzzy decision embedded genetic algorithm. We compare the algorithm with tranditional methods. The results show that the suggested approach can quickly achieve optimal solution for large size problems with high probability. The approach was applied to the partner selection problem of a coal fire power station construction project. The satisfactory results have been achieved.
文摘针对建设工程类项目中进行时间费用权衡的现实需求,以及资源转移成本对逻辑关系的固有影响,提出综合考虑施工顺序可变以及允许多施工组同时施工的软逻辑关系模型,同时引入资源转移对逻辑关系的选择进行限制,以工期和费用的双目标权衡为目标构建问题数学模型(comprehensive soft-logic scheduling problem of repetitive projects with resource transfer,CSLSPRPRT)。针对引入软逻辑带来的复杂性提升,以及静态拥挤度选择方法的固有缺陷,设计基于个体多样性自适应和动态拥挤度的改进遗传算法(NSGA-Ⅱ/IDDC)。仿真实验结果表明,该方法能在不同规模的实际场景下优化项目工期和费用,改进后算法能获得更多的可行解数量和更好的算法收敛性。
基金Supported by the National Natural Science Foundation of China (No. 60474051) the Key Technology and Development Program of Shanghai Science and Technology Department (No. 04DZ11008) partly by the Specialized Research Fund for the Doctoral Program of Higher Education of China (No. 20020248028).
文摘In this paper, the feasibility and objectives coordination of real-time optimization (RTO) are systemically investigated under soft constraints. The reason for requiring soft constraints adjustment and objective relaxation simultaneously is that the result is not satisfactory when the feasible region is apart from the desired working point or the optimization problem is infeasible. The mixed logic method is introduced to describe the priority of the constraints and objectives, thereby the soft constraints adjustment and objectives coordination are solved together in RTO. A case study on the Shell heavy oil fractionators benchmark problem illustrating the method is finally presented.
