Multi-objective location-scale optimization model and solution methods for large-scale emergency rescue resources

Li, Zhiqiang; Xie, Chen; Peng, Peng; Gao, Xueying; Wan, Qingsong

doi:10.1007/s11356-021-12753-9

Cited by 13 publications

(8 citation statements)

References 30 publications

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“…Concerning the model solving method of RLND, most attention has focused on the method of using software, such as CPLEX [22,23], LINGO [7,16], etc. Other methods, such as an artificial bee colony [24], variable neighborhood descent heuristics [25], NSGA-II [26], and tabu search-based methodology [27], are also used to study RL model solving.…”

Section: Reverse Logistics Network Designmentioning

confidence: 99%

“…ICBC: Industrial and Commercial Bank of China; ABC: Agricultural Bank of China; BOC: Bank of China; CCB: China Construction Bank; BCM: Bank of Communications; PSBC: Postal Savings Bank of China; TNBO: Total number of business outlets; TNATMs: Total number of ATMs.•Data from the Anhui Bureau of Statistics (2019-2020) indicate the per capita GDP of Hefei, and the number of ATMs in other cities in Anhui was calculated using Equation(23). The results are provided in Table3.…”

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confidence: 99%

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Reverse Logistics Network Design and Simulation for Automatic Teller Machines Based on Carbon Emission and Economic Benefits: A Study of the Anhui Province ATMs Industry

2021

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In recent years, mobile payments have gradually replaced cash payments, resulting in a gradual decline in the number of automatic teller machines (ATMs) demanded by banks. Through investigation and analysis, we determine four means to deal with decommissioned ATMs, and construct thereafter an ATM reverse logistics (RL_ATMs) network model, which includes suppliers, producers, warehouses, operators, maintenance centers, collection and inspection centers, disposal centers, remanufacturing centers, and recycling centers. This model is further expressed as a mixed integer linear programming (MILP) model. Given that an ATM recycling network has planned and batched characteristics, a percentage diversion method is proposed to transform a real multi-cycle problem to a single-cycle problem. The RL_ATMs network constructed in this study presents the two forms of ATMs, functional modules and the entire machine. We used the actual situations of the related companies and enterprises in Anhui Province and its surrounding areas, as well as major banks’ ATMs, as bases in using the LINGO software to solve the proposed MILP model with the objective function of minimizing costs and environmental emissions, and obtain the relevant companies’ launch operations. Lastly, we analyzed the relationship between coefficients in the percentage diversion method and calculation results, cost, and carbon emissions. Accordingly, we find that the number of remanufacturing and maintenance centers has no evident impact on the objective function, transportation costs account for a large proportion of the total cost, and emissions tax is small.

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Section: Reverse Logistics Network Designmentioning

confidence: 99%

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confidence: 99%

Reverse Logistics Network Design and Simulation for Automatic Teller Machines Based on Carbon Emission and Economic Benefits: A Study of the Anhui Province ATMs Industry

2021

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“…The research shows that the model can generate a fast and efficient rescue material scheme with the consideration of transportation speed and cost [2][3][4]. In order to better manage the risk of disaster situations, Li et al proposed a two-stage model [5]. The study shows that using Bayesian network and Monte Carlo method to locate emergency stations can help speed recovery from disasters [6].…”

Section: Introductionmentioning

confidence: 99%

Research on emergency material demand based on urgency and satisfaction under public health emergencies

Zhang

Gao

2023

PLoS ONE

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In recent years, the frequent occurrence of public health emergencies has had a significant impact on people’s life. The study of emergency logistics has also attracted scholars’ attention. Therefore, matching emergency materials’ supply and demand quickly, which meets urgency and satisfaction, is the purpose of this paper. This paper used the Metabolism Grey Model (1,1) (GM (1,1)) and the material demand prediction model to predict the number of infections and material demand. Besides, we established a bi-objective optimization model by constructing a profit and loss matrix and a comprehensive utility perception matrix. The results show that the method is helpful in matching the optimal supply and demand decision quickly on the basis of meeting urgency and satisfaction. The method is helpful in improving the fairness of emergency material distribution, which could better protect people’s livelihoods.

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“…Strategic planning for a supply chain involves specifying the location of facilities, the number of facilities in each location, the capacity of each facility and the amount of production so as to minimize the total cost of the chain (Akbarian-Saravi, Mobini, & Rabbani, 2020;Hadian, Chahardoli, Golmohammadi, & Mostafaeipour, 2020;Li, Xie, Peng, Gao, & Wan, 2021). The first step in many research projects is to specify the type of biomass (Babazadeh, Razmi, Rabbani, & Pishvaee, 2015;Shabbir et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

A Multi-objective MILP Model Proposed to Optimize a Supply Chain Network for Microalgae-based Biofuels and Co-products: A Case Study in Iran

Zerafati

Bozorgi-Amiri

Golmohammadi

et al. 2021

Preprint

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Recently, due to the efficiency of cultivating microalgae, researchers and investors have paid considerable attention to the production of different biofuel products that are environmentally friendly. In this study, a two-stage deterministic model is proposed to design a microalgae-based biofuels and co-products supply chain network (MBCSCN). In the first stage, the appropriate locations for the cultivation of microalgae are identified through the analytical hierarchy process (AHP). In the second stage, a deterministic mathematical mixed integer linear programing (MILP) model is developed for a period of five years based on the criteria of economic and environmental impacts. The economic objective function maximizes the overall profit, while the environmental impacts objective function seeks to minimize the consumed fossil fuel throughout the supply chain. Then, a multi-objective MILP optimization problem is solved using the ε-constraint method. The proposed model is evaluated through a case study in Iran. It has helped to identify appropriate locations for the cultivation of microalgae and to specify the required quantity of feedstock, the species of microalgae, the required technology, and the transportation modes in each step of the supply chain.

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Multi-objective location-scale optimization model and solution methods for large-scale emergency rescue resources

Cited by 13 publications

References 30 publications

Reverse Logistics Network Design and Simulation for Automatic Teller Machines Based on Carbon Emission and Economic Benefits: A Study of the Anhui Province ATMs Industry

Reverse Logistics Network Design and Simulation for Automatic Teller Machines Based on Carbon Emission and Economic Benefits: A Study of the Anhui Province ATMs Industry

Research on emergency material demand based on urgency and satisfaction under public health emergencies

A Multi-objective MILP Model Proposed to Optimize a Supply Chain Network for Microalgae-based Biofuels and Co-products: A Case Study in Iran

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