A two‐stage vehicle routing model for large‐scale bioterrorism emergencies

Shen, Zhihong; Dessouky, Maged; OrdÃ3Ã±ez, Fernando

doi:10.1002/net.20337

Cited by 107 publications

(50 citation statements)

References 69 publications

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“…Through random or fuzzy variables, many authors also considered the uncertainty related to the relief distribution context that are reflected in demand, arc capacity, travel time or network reliability Barbarosoǧlu & Arda 2004;Shen et al 2009;Vitoriano et al 2009;Vitoriano et al 2011). These papers' main contribution acknowledges the different sources of uncertainty in a post-disaster context, thus providing crisis managers with a more robust distribution plan.…”

Section: Transportation Problemsmentioning

confidence: 99%

Relief distribution networks: a systematic review

2014

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In the last 20 years, Emergency Management has received increasing attention from the scientific community. Meanwhile, the study of relief distribution networks has become one of the most popular topics within the Emergency Management field. In fact, the number and variety of contributions devoted to the design or the management of relief distribution networks has exploded in the recent years, motivating the need for a structured and systematic analysis of the works on this specific topic. To this end, this paper presents a systematic review of contributions on relief distribution networks in response to disasters. Through a systematic and scientific methodology, it gathers and consolidates the published research works in a transparent and objective way. It pursues three goals. First, to conduct an up-to-date survey of the research in relief distribution networks focusing on the logistics aspects of the problem, which despite the number of previous reviews has been overlooked in the past. Second, to highlight the trends and the most promising challenges in the modeling and resolution approaches and, finally, to identify future research perspectives that need to be explored.

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Section: Transportation Problemsmentioning

confidence: 99%

Relief distribution networks: a systematic review

2014

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“…These operators are widely used to solve a variety of vehicle routing problems [1,20,25,30]. In particular, one of the following 7 local search operators is randomly selected at each iteration of the Simulated Annealing algorithm.…”

Section: Local Searchmentioning

confidence: 99%

A look-ahead partial routing framework for the stochastic and dynamic vehicle routing problem

Zou

Dessouky

2018

J Veh Routing Algorithms

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In this paper, we study the vehicle routing problem with dynamic customers, where a portion of the customer requests are known in advance and the rest arrive in real time. We propose an optimization-based look-ahead dynamic routing framework that involves request forecasting, partial planning, and dynamic real-time routing of the fleet. This framework has the capabilities for adjustments in response to routing environments with different levels of uncertainties. Through extensive numeral simulations, we exam its performance in routing environments with various levels of uncertainties. We demonstrate the efficiency and robustness of the proposed solution by benchmarking against two other routing strategies. This paper fills the gap in the literature on studying the relationship between the level of route planning in the solution approach and the quality of the solution under various system conditions.

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“…Flexibility has therefore been recognized as one of the success factors of HSCs (Manoj et al 2015;Bozorgi-Amiri and Asvadi 2015;Abounacer et al 2014;Najafi et al 2013;Yushimito et al 2012;Afshar and Haghani 2012;Shen et al 2009;Abidi et al 2013). Flexibility impacts organizational structures, information systems, and logistics processes (Scholten et al 2010).…”

Section: Flexibility In Humanitarian Supply Chainsmentioning

confidence: 99%

Defining and measuring the network flexibility of humanitarian supply chains: insights from the 2015 Nepal earthquake

Baharmand

Lauras

2017

Ann Oper Res

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The efficient and effective response to disasters critically depends on humanitarian supply chains (HSCs). HSCs need to be flexible to adapt to uncertainties in needs, infrastructure conditions, and behavior of other organizations. The concept of 'network flexibility' is, however, not clearly defined. The lack of an unanimous definition has led to a lack of consistent understanding and comparisons. This paper makes a threefold contribution: first, it defines the concept of network flexibility for HSC in the context of sudden onset disasters. Second, it proposes a framework to measure network flexibility in HSCs. Third, we apply our framework to the 2015 Nepal earthquake case and provide evidence-based insights regarding how humanitarian organizations can improve network flexibility in HSCs. Our analyses for Nepal case show that delivery, IT support, and fleet criteria have the most influence on flexibility. Also, the application of our framework on the downstream network of nine humanitarian organizations shows low levels of network flexibility in all but one. This finding explains why several disruptions happened in relief distributions during the Nepal response.

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A two‐stage vehicle routing model for large‐scale bioterrorism emergencies

Cited by 107 publications

References 69 publications

Relief distribution networks: a systematic review

Relief distribution networks: a systematic review

A look-ahead partial routing framework for the stochastic and dynamic vehicle routing problem

Defining and measuring the network flexibility of humanitarian supply chains: insights from the 2015 Nepal earthquake

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