Modeling equitable and effective distribution problem in humanitarian relief logistics by robust goal programming

Cheng, Jiaojiao; Feng, Xueqin; Bai, Xuejie

doi:10.1016/j.cie.2021.107183

Cited by 24 publications

(6 citation statements)

References 34 publications

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“… In studies such as Aghajani et al [19], Boostani et al [4], Nayeem and Lee [47] and Cheng et al [46] there are different methods to deal with various types of uncertainty in existing literature of disaster relief logistics, but the approach that has not been done in any of these studies is the robust fuzzy multi-objective approach that utilized in this research for the first time to deal with uncertainty. In general, the current study is the first study that to propose a robust fuzzy model for relief items distribution network design problem considering environmental (CO 2 emission), social (deprivation cost) and economic impacts under reliability and uncertainty.…”

Section: Sustainable Humanitarian Logisticsmentioning

confidence: 99%

Multi-Objective Modeling of Relief Items Distribution Network Design Problem in Disaster Relief Logistics Considering Transportation System and CO2 Emission

2022

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The present study aims to propose a multi-objective mixed integer mathematical programming model for designing a relief items distribution network in sustainable disaster relief logistics. The first objective function minimizes the total network costs. Which are divided into two parts: 1relief costs including (transportation costs, inventory costs and fixed costs of facilities) 2-social costs (deprivation cost). The second objective function minimizes the amount of pollution generated by the network. Considering the related literature review, this is the first study that to propose a robust fuzzy optimization approach for relief items distribution network design problem considering environmental (CO 2 emission), social (deprivation cost) and economic impacts under reliability and uncertainty. Then, the multi-objective model was solved using the multi-choice goal programming. To indicate the validity of the proposed model, a case study was evaluated based on real data (2019 flood in Sari city, Mazandaran Province). Using the proposed model, decision-makers and managers are able to make strategic and tactical decisions with the least cost and time, and in relief planning can enhance the structure of distribution networks and inventory and reduce victims' dissatisfaction.

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Section: Sustainable Humanitarian Logisticsmentioning

confidence: 99%

Multi-Objective Modeling of Relief Items Distribution Network Design Problem in Disaster Relief Logistics Considering Transportation System and CO2 Emission

2022

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“…In general, there has been a lack of attention on developing mathematical models and solution algorithms for strategic and tactical decisions in this area. Nevertheless, multiple models have been developed for the logistics distribution of humanitarian relief (Cheng et al, 2021;Zhang and Cui, 2021). Most of the models focused on minimising the total cost of logistics distribution and providing availability of relief goods (e.g., Boonmee et al, 2017;Zhen et al, 2015;etc.).…”

Section: Literature Reviewmentioning

confidence: 99%

Applying linear programming for logistics distribution of essential relief items during COVID-19 lockdown: evidence from Bangladesh

Adnan¹,

Ashik²,

Rahman³

et al. 2022

IJLEG

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induced lockdowns have made it extremely difficult for the poorer section of the community to arrange sustenance items like food and medicines due to the lack of cash flow coupled with the closure of markets. Although multiple organisations took initiatives to help this vulnerable cohort by distributing essential items, they ended up either oversupplying or undersupplying at different regions due to the lack of a reference framework. Hence, the study develops a model to aid the national relief distribution process during a pandemic. This study considers the capacitated plant location model and applies the linear programming tool to formulate and solve the model. The model assigns a target and service zones, to relief organisations based on their capacity and proximity and avoid redundant relief goods to easily accessible areas. The model can be used by government, private, and non-profit alike to distribute relief during any similar future events as well.

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“…Mansoori et al [32] consider a robust multi-objective humanitarian relief chain network design for earthquake response. Cheng et al [33] propose a goal programming (GP) model for distribution problems in humanitarian relief logistics. Mohamadi et al [34] propose a multi-objective mathematical model to design a humanitarian logistics network under uncertain conditions and employ a robust optimization approach.…”

Section: Literature Review and Research Gapmentioning

confidence: 99%

Design of Disaster Relief Logistics Network System by Combining Three Data Envelopment Analysis-based Methods

Honga¹,

Mwakalonge²,

Jeong³

2022

Int J Ind Eng Manag

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The recent pandemic outbreak and weather-related disasters show that there is no place immune from such emergency events. Thus, it would be essential to provide disaster relief items efficiently through a disaster relief logistics network system (DRLNS). This paper considers a design problem of DRLNS. For this purpose, this study presents a process of combining the multi-objective programming (MOP) model with the three data envelopment analysis (DEA)-based methods. Through a case study, the proposed MOP-DEA design framework would help the decision-makers better evaluate the efficiency of various DRLNS configurations and identify the robust and efficient ones among them.

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Modeling equitable and effective distribution problem in humanitarian relief logistics by robust goal programming

Cited by 24 publications

References 34 publications

Multi-Objective Modeling of Relief Items Distribution Network Design Problem in Disaster Relief Logistics Considering Transportation System and CO2 Emission

Multi-Objective Modeling of Relief Items Distribution Network Design Problem in Disaster Relief Logistics Considering Transportation System and CO2 Emission

Applying linear programming for logistics distribution of essential relief items during COVID-19 lockdown: evidence from Bangladesh

Design of Disaster Relief Logistics Network System by Combining Three Data Envelopment Analysis-based Methods

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