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

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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A multi-objective optimization model to sustainable closed-loop solar photovoltaic supply chain network design: A case study in Iran

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2021.111428 ◽

2021 ◽

Vol 150 ◽

pp. 111428

Author(s):

Maryam Nili ◽

Seyed Mohammad Seyedhosseini ◽

Mohammad Saeed Jabalameli ◽

Ehsan Dehghani

Keyword(s):

Supply Chain ◽

Network Design ◽

Optimization Model ◽

Closed Loop ◽

Supply Chain Network Design ◽

Supply Chain Network ◽

Solar Photovoltaic ◽

Multi Objective Optimization ◽

Multi Objective

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Nonlinear multi-objective optimization model for a biomass direct-fired power generation supply chain using a case study in China

Energy ◽

10.1016/j.energy.2017.08.050 ◽

2017 ◽

Vol 139 ◽

pp. 1066-1079 ◽

Cited By ~ 16

Author(s):

Qinliang Tan ◽

Tingran Wang ◽

Yimei Zhang ◽

Xinyan Miao ◽

Jun Zhu

Keyword(s):

Power Generation ◽

Supply Chain ◽

Optimization Model ◽

Multi Objective Optimization ◽

Multi Objective

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

Energy and Buildings ◽

10.1016/j.enbuild.2021.110933 ◽

2021 ◽

Vol 241 ◽

pp. 110933

Author(s):

Mohammad Pazouki ◽

Kamran Rezaie ◽

Ali Bozorgi-Amiri

Keyword(s):

Utility Function ◽

Optimization Model ◽

Building Energy ◽

Multi Objective Optimization ◽

Multi Objective ◽

Energy Retrofit

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A spatial multi-objective optimization model for sustainable urban wastewater system layout planning

Water Science & Technology ◽

10.2166/wst.2012.113 ◽

2012 ◽

Vol 66 (2) ◽

pp. 267-274 ◽

Cited By ~ 9

Author(s):

X. Dong ◽

S. Zeng ◽

J. Chen

Keyword(s):

Optimization Model ◽

Municipal Wastewater ◽

Monte Carlo Sampling ◽

Multi Objective Optimization ◽

Urban Wastewater ◽

Multi Objective ◽

Local Municipality ◽

Beijing China ◽

System Layout

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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