A study of stochastic optimization problem for humanitarian supply chain management

Sun, Jing; Chai, Ru; Nakade, Koichi

doi:10.1299/jamdsm.2018jamdsm0066

Cited by 6 publications

(5 citation statements)

References 11 publications

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“…Because of various trade-offs and uncertainty in the decision-making environment (Maiyar & Thakkar, 2020 ), it is always challenging to achieve this goal during execution (Dubey et al, 2019a ; Özdamar et al, 2004 ). Authors study the humanitarian aid delivery problem under uncertainty in demand and cost (Faiz & Vogiatzis, 2020 ; Liu & Nagurney, 2013 ; Sun et al, 2018 ; Tofighi et al, 2016 ; Zokaee et al, 2016 ), demand and carbon price (Rezaee et al, 2017 ), estimated arrival times, travel time and cost, transportation plan risk (Zheng & Ling, 2013 ), the response time (Bastian et al, 2016 ), loading–unloading time (Abazari et al, 2020 ), inventory amounts (Cao et al, 2021 ), etc. Majorly, the concepts of two-stage stochastic programming (Grass & Fischer, 2016 ).…”

Section: Literature Reviewmentioning

confidence: 99%

A probabilistic fuzzy goal programming model for managing the supply of emergency relief materials

2021

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The post-disaster humanitarian logistic operations deal with the supply of emergency relief materials to mitigate damages in the affected areas. Immediately after the disaster, it is challenging to estimate the demand for emergency relief materials. As a result, the demand for such materials at the point of demand and the corresponding transportation costs for the entire supply chain network becomes uncertain. This paper proposes a new probabilistic fuzzy goal programming model for making decisions to manage the post-disaster supply of emergency relief materials. A suggested procedure converts the proposed model to its deterministic equivalent when the demands for the relief materials follow uniform distributions. We implement the differential evolution, a metaheuristic technique, for analyzing demand satisfaction for relief materials under various scenarios. A case example based on the Nepal Earthquake in 2015 demonstrates the usefulness of the proposed approach. The solution of the model will help the Disaster Management Agency coordinate with the humanitarian organizations and foreign countries to provide the required emergency relief materials so that an adequate level of supply can be assured to the affected areas with the least possible transportation cost.

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Section: Literature Reviewmentioning

confidence: 99%

A probabilistic fuzzy goal programming model for managing the supply of emergency relief materials

2021

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“…The demand forecasting methods discussed in these studies only discuss the forecast of the demand quantity for one or several supplies and ignore the discussion of the types of supply demand. The supply types of demand are an essential part of material demand decision-making [4,25]. Decision-makers need to first ensure the types of supplies needed for disaster relief and then decide on the demand quantity [26].…”

Section: Relief Demand Calculationmentioning

confidence: 99%

“…Many scholars agree that demand includes types and quantities [4,36,54]. Discussion of type and quantity of material demand is an integral expression, which is indispensable [5,55,56].…”

Section: Combination Of Relief Materials Classification and Demand Calmentioning

confidence: 99%

“…Numerous scholars and workers agree that relief supplies are highly important elements of disaster management. Responding to a disaster requires a series of decision-making activities, including demand (type and amount) estimation [4,5], location of temporary distribution facilities [6], allocation and distribution of supplies [7,8], and transportation planning [9,10]. Determining the type of supply demand and calculating the amount of demand for each item for a disaster are critical and foremost for the overall design and implementation of humanitarian logistics (HL) [11,12].…”

Section: Introductionmentioning

confidence: 99%

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Relief Demand Calculation in Humanitarian Logistics Using Material Classification

Shao

Liang

Xi-hui

et al. 2020

IJERPH

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Demand calculation, which is the base of most logistics decisions and activities, is a critical work in humanitarian logistics (HL). However, previous studies on demand calculation in HL mainly focus on demand forecasting methodology, with many neglecting the checklist of critical supplies and practice background. This work proposes a new method for relief demand calculation by dividing the process into two parts: supply classification and demand calculation. A general method for classifying relief supplies and clarifying the checklist of relief items for multi-disaster and multiple natural scenarios is given in detail, followed by the procedure of demand calculation for each relief material. The authors present a case study to validate the feasibility and effectiveness of the proposed method based on the disaster response practice in China. Detailed lists of relief demand for different types and severities of disaster are provided.

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“…Disaster relief material management is an important part of emergency management. In the emergency process, a series of decision-making activities is required for material management, including demands estimation (type and quantity) (Sun et al, 2018), materials distribution (Ferrer et al, 2018), and transportation planning (Gralla & Goentzel, 2018). For the overall design and implementation of emergency response, it is necessary to determine the required material reserve according to information such as the type of crisis and disaster (Safaei, Farsad, & Paydar, 2020).…”

Section: Introductionmentioning

confidence: 99%

Visualization of Emergency Needs Posted on Social Media by Metaphor Map

Cui

et al. 2021

Data and Information Management

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Thematic analysis based on a social network is one of the effective means in emergency management. To improve users’ understanding, the results of the thematic analysis are often displayed through visualization. However, the previous researches on text theme visualization rarely considered the unified representation of theme structure and theme evolution. Cognitive load leads to difficulty, and it happens due to the separate representation of structure and evolution relationship and it still increases because of the characteristics of urgency, uncertainty, etc. Therefore, a metaphor map is introduced in this study to overcome the limits of previous visualization tools in characterizing the structure and evolutionary relationship of emergency. On the one hand, different elements in the metaphor map represent the information of popularity and structure of the demand, respectively. On the other hand, the visual design based on the metaphor map strengthens the representation of the content and evolution states of the demand themes. At the theoretical level, a visualization method for emergency needs based on the metaphor map is proposed in this study, which enriches the theory of emergency information visualization. At the practical level, this study explores the design of a visualization system based on the metaphor map under crisis scenarios, which enhances the interaction between users and crisis information, and provides references for decision-making such as emergency material scheduling and emergency resource coordination.

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A study of stochastic optimization problem for humanitarian supply chain management

Cited by 6 publications

References 11 publications

A probabilistic fuzzy goal programming model for managing the supply of emergency relief materials

A probabilistic fuzzy goal programming model for managing the supply of emergency relief materials

Relief Demand Calculation in Humanitarian Logistics Using Material Classification

Visualization of Emergency Needs Posted on Social Media by Metaphor Map

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