An Integrated Location-Allocation Model for Temporary Disaster Debris Management under an Uncertain Environment

Abstract

Natural disasters always generate an overwhelming amount of debris. Reusing and recycling waste from disasters are essential for sustainable debris management. Before recycling the debris, it is necessary to sort this mixed waste. To perform the sorting process efficiently, a Temporary Disaster Debris Management Site (TDDMS) is required, and the selection of TDDMS is a multi-criteria decision-making problem due to its numerous regional and municipal constraints. This paper provides a two-phase framework for sustainable debris management during the response phase of disasters. In the first phase, a methodology for TDDMS selection is proposed that consists of Analytical Network Process (ANP) and a fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). In the second phase, a debris allocation optimization model is developed to allocate the debris from disaster-affected regions to the selected TDDMS. A city prone to hurricane damage is selected to illustrate the proposed framework. For the debris allocation purpose, five TDDMS are chosen, among which three sites are selected using the proposed methodology. To illustrate the utilization of the proposed study, a numerical example with two different scenarios is provided. Numerical outcomes prove that the model results in a sustainable debris management system for disasters.

Multiple Attribute Decision-Making Methods Based on Normal Intuitionistic Fuzzy Interaction Aggregation Operators

“…The significant characteristics of the proposed method are that: (1) it is easier to describe the uncertain information than the existing fuzzy sets and stochastic variables; (2) it used the interaction operations in part of IFSs which could overcome the existing weaknesses in operational rules of NIFNs; (3) it adopted PA operator which could relieve the influence of unreasonable data given by biased decision makers; and (4) it made the decision-making results more flexible and reliable because it was with generalized parameter that could be regarded as the risk attitude value of decision makers. In the future, we will study the applications of the proposed operators and method for the MADM problems with normal distribution stochastic information [37,38], especially for supply chain managements [39] and inventory models [40,41], or study the fuzzy graphs or trees based on NIFNs [42][43][44][45].…”

Multi-Objective Optimization Model of Emergency Organization Allocation for Sustainable Disaster Supply Chain

“…They mainly focus on the term 'reuse', 'recycle' and 'recovery' during recovery phase. However, the term 'reduce' during response phase from the point of view of short-term perspective is the focus of this paper by comparing with Papadopoulos et al [2], Kunz et al [16], and Habib et al [17]. (2) An empirical or qualitative approach to investigate sustainability or relevant is popular in the existing literature.…”

“…Constraint (16) delineates that EO k is allocated in order. Constraints (17) and (18) register 0-1 decision variables.…”

“…Kuzn et al [16] clarified that the local environment should be considered into disaster rehabilitation during recovery phase, and proposed a framework regarding sustainability. Habib et al [17] developed an integrated location-allocation model for sustainable disaster debris management during response phase, and sustainability was reflected by the term 'reuse' and 'recycle'.…”

A Decision Model for Emergency Warehouse Location Based on a Novel Stochastic MCDA Method: Evidence from China

“…In the last few decades, the frequency of disasters has rapidly increased [1]. China, with complex climatic and geographical conditions and fragile ecological environment, is vulnerable to natural disasters.…”