A fuzzy robust multi-objective optimization model for building energy retrofit considering utility function: A university building case study

Design of a sustainable city has changed the traditional centralized urban wastewater system towards a decentralized or clustering one. Note that there is considerable spatial variability of the factors that affect urban drainage performance including urban catchment characteristics. The potential options are numerous for planning the layout of an urban wastewater system, which are associated with different costs and local environmental impacts. There is thus a need to develop an approach to find the optimal spatial layout for collecting, treating, reusing and discharging the municipal wastewater of a city. In this study, a spatial multi-objective optimization model, called Urban wastewateR system Layout model (URL), was developed. It is solved by a genetic algorithm embedding Monte Carlo sampling and a series of graph algorithms. This model was illustrated by a case study in a newly developing urban area in Beijing, China. Five optimized system layouts were recommended to the local municipality for further detailed design.

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RESILIENCE-COST TRADEOFF SUPPLY CHAIN PLANNING FOR THE PREFABRICATED CONSTRUCTION PROJECT

Journal of Civil Engineering and Management ◽

10.3846/jcem.2021.14114 ◽

2021 ◽

Vol 27 (1) ◽

pp. 45-59

Author(s):

Hong Zhang ◽

Lu Yu

Keyword(s):

Supply Chain ◽

Optimization Model ◽

Construction Project ◽

Transportation Cost ◽

Planning Problem ◽

Multi Objective Optimization ◽

Planning Stage ◽

Multi Objective ◽

Construction Schedule

Delivery of the prefabricated components may be disrupted by low productivity and various of traffic restrictions, thus delaying the prefabricated construction project. However, planning of the prefabricated component supply chain (PCSC) under disruptions has seldom been studied. This paper studies the construction schedule-dependent resilience for the PCSC plan by considering transportation costs and proposes a multi-objective optimization model. First, the PCSC planning problem regarding schedule-dependent resilience and resultant transportation cost is analyzed. Second, a quantification scheme of the schedule-dependent resilience of the PCSC plan is proposed. Third, formulation of the resilience-cost tradeoff optimization model for the PCSC planning is developed. Fourth, the multi-objective particle swarm optimization (MOPSO)-based method for solving the resilience-cost tradeoff model is presented. Finally, a case study is presented to demonstrate and justify the developed method. This study contributes to the knowledge and methodologies for PCSC management by addressing resilience at the planning stage.

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The Multi-objective Optimization Model of the Industrial Structure in the Processes of Urbanization: A Case Study of Shizhong District, Neijiang City

Proceedings of the Eighth International Conference on Management Science and Engineering Management - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-642-55182-6_51 ◽

2014 ◽

pp. 581-589

Author(s):

Yunqiang Liu ◽

Lu Gan

Keyword(s):

Optimization Model ◽

Industrial Structure ◽

Multi Objective Optimization ◽

Multi Objective

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The development of multi-objective optimization model for excess bagasse utilization: A case study for Thailand

Environmental Impact Assessment Review ◽

10.1016/j.eiar.2007.08.005 ◽

2008 ◽

Vol 28 (6) ◽

pp. 380-391 ◽

Cited By ~ 20

Author(s):

Bancha Buddadee ◽

Wanpen Wirojanagud ◽

Daniel J. Watts ◽

Rapeepan Pitakaso

Keyword(s):

Optimization Model ◽

Multi Objective Optimization ◽

Multi Objective

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A Multi-Objective Optimization Model for Plastic Cup Design Using Mechanical and Environmental Performances

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.378.424 ◽

2013 ◽

Vol 378 ◽

pp. 424-428

Author(s):

Cucuk Nur Rosyidi ◽

Azizah Aisyati ◽

Anggun Tri Kusumaningrum

Keyword(s):

Optimization Model ◽

Ozone Depletion ◽

Product Life Cycle ◽

Current Practice ◽

Environmental Issues ◽

Design Stage ◽

Multi Objective Optimization ◽

Multi Objective ◽

Cup Design

In recent years, environmental issues such as global warming and ozone depletion become more intense. The issues have made many companies include the environmental performances into their product life cycle from design into disposal stage. In the design stage, it is important to determine the optimal dimensions of the product which balancing the mechanical and environmental performances. The aim of this research is to develop a multi-objective optimization model for plastic cup design using mechanical and environmental performances. A case study is given to show the implementation of the model. The optimization model resulted a thickness which is not significantly different comparing to the current practice in the company. The results give more efficient use of material and reduction of production cost and environmental impact.

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