Large-scale disaster waste management under uncertain environment

Habib, Muhammad Salman; Sarkar, Biswajit; Tayyab, Muhammad; Saleem, Muhammad Wajid; Hussain, Amjad; Ullah, Misbah; Omair, Muhammad; Iqbal, Muhammad Waqas

doi:10.1016/j.jclepro.2018.11.154

Cited by 68 publications

(43 citation statements)

References 32 publications

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“…The authors propose different heuristic techniques to solve the model. Outside the scope of aid distribution, Habib et al [27] address a post-disaster waste management problem through a possibilistic programming model that minimizes both the cost of waste processing and the carbon emissions and maximizes the job opportunities.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Ahmadi et al [23] 3 Scalarization Variable Neighborhood Search Balcik et al [17] 2 Scalarization -Bozorgi-Amiri et al [20] 2 Compromise Programming -Ferrer et al [16] 6 Compromise Programming GRASP Habib et al [27] 3 Interactive Method -Huang et al [22] 3 Scalarization - In this study, we propose an Ant Colony Optimization methodology to solve the model developed in [16] and [30]. Even though ACO has been applied frequently to different routing and distribution problems [31][32][33][34], it has barely been used in the context of disaster management.…”

Section: Reference # Criteria Security Multi-criteria Approach Heurismentioning

confidence: 99%

“…Thus, each element is a pair ζ = (j, k) where k is the arc that vehicle j traverses in its final trip. The effective pheromone associated to each element is defined in (27), where c is the vehicle class corresponding to vehicle j.…”

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confidence: 99%

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A New Ant Colony-Based Methodology for Disaster Relief

2020

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Humanitarian logistics in response to large scale disasters entails decisions that must be taken urgently and under high uncertainty. In addition, the scarcity of available resources sometimes causes the involved organizations to suffer assaults while transporting the humanitarian aid. This paper addresses the last mile distribution problem that arises in such an insecure environment, in which vehicles are often forced to travel together forming convoys for security reasons. We develop an elaborated methodology based on Ant Colony Optimization that is applied to two case studies built from real disasters, namely the 2010 Haiti earthquake and the 2005 Niger famine. There are very few works in the literature dealing with problems in this context, and that is the research gap this paper tries to fill. Furthermore, the consideration of multiple criteria such as cost, time, equity, reliability, security or priority, is also an important contribution to the literature, in addition to the use of specialized ants and effective pheromones that are novel elements of the algorithm which could be exported to other similar problems. Computational results illustrate the efficiency of the new methodology, confirming it could be a good basis for a decision support tool for real operations.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Reference # Criteria Security Multi-criteria Approach Heurismentioning

confidence: 99%

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A New Ant Colony-Based Methodology for Disaster Relief

2020

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“…Yang et al [31] and Ho et al [32] states that improved storage conditions reduce the total relevant inventory costs for deteriorating products. Waste management in the uncertain environment was examined by Habib et al [33].…”

Section: Preservation Tecniquesmentioning

confidence: 99%

Effects of Preservation Technology Investment on Waste Generation in a Two-Echelon Supply Chain Model

2019

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This study develops an integrated production-inventory model for a two-echelon supply chain network with controllable probabilistic deterioration. The investment in preservation technology is considered a decision variable to control the deteriorated quantity of an integrated system. The objective of the study is to optimize preservation investment, the number of shipments and shipment quantity, so that the total cost per unit of time of the supply chain is minimized. The study proposes a solution method, and the results show that investment in preservation technology reduces the total supply chain cost by 13%. Additionally, preservation increases the lot size, thus increasing the production cycle length, which reduces the ordering cost of the system. Furthermore, this study shows that preservation leads to a reduction of solid waste from deteriorated products. Total deteriorated products reduced to 8 units from 235 units, hence, preservation generates positive environmental benefits along with economic impacts. The robustness of the proposed model is illustrated with a numerical example, sensitivity analysis, and graphical representations. Moreover, comparative study and managerial insights are given to extract significant insights from the model.

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“…The waste management issue is addressed in a number of publications [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. Some publications [1][2][3][4][5] focus on the impact of waste management on the environment, whilst others [6,8] focus on waste management in certain industrial sectors.…”

Section: Introductionmentioning

confidence: 99%

Application of the Operational Research Method to Determine the Optimum Transport Collection Cycle of Municipal Waste in a Predesignated Urban Area

2019

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This paper deals with waste management. The aim is to find out whether the number of municipal mixed waste bins can be reduced due to the impact of waste separation and to determine the optimum municipal waste collection cycle within a predesignated area with an existing urban road network. The number of mixed waste bins depends on two factors—household waste volume and household waste composition. Both of these factors have a significant impact on the number of mixed waste bins required, with household waste composition being of particular importance when it comes to calculating the potential reduction in the number of mixed waste bins required due to waste separation. The calculations for the weight and volume of mixed household waste per person and the composition (types) thereof are presented accordingly. The results reveal which types of waste are the most useful in minimising the number of mixed waste bins by up to 30–50%. To determine the optimum waste collection cycle within the predesignated area with a real urban road network, the Nearest Neighbour Search method was applied. In the discussion, the focus is on whether other methods, including the Two-Phase Heuristic approach and the Bellman-Ford Algorithm, could be applied to solve the problem, whereby parameters such as application time and the capacity of the waste collection vehicle are compared.

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Large-scale disaster waste management under uncertain environment

Cited by 68 publications

References 32 publications

A New Ant Colony-Based Methodology for Disaster Relief

A New Ant Colony-Based Methodology for Disaster Relief

Effects of Preservation Technology Investment on Waste Generation in a Two-Echelon Supply Chain Model

Application of the Operational Research Method to Determine the Optimum Transport Collection Cycle of Municipal Waste in a Predesignated Urban Area

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