This paper formulates an inventory-relief-chain (IRC) model with the relief supply chain for the relief commodity distribution. Humanitarian logistics, in: Tutorials in Operations Research: New Directions. Distrib. Sci.
We propose a multi methodology approach that employs an optimization model and a multi-criteria decision analysis. / Surveys in Operations Research and Management Science, In this section, we provide an overview of literature survey, papers that focus on HL/DM.

46 (1). Res. The purpose of the paper is to provide a decision support system for the optimal quantification and location of humanitarian aid, trying to enhance and extend the existing literature on this topic. Based on our analysis, we identify several gaps and future research. Inventory Management- A Review of Relevant Literature V.Vijaya Lakshmi Asst. Some studies, model the post-disaster operations in a more detailed way; for, instance, transshipment of supplies among the facilities (e.g., [, In almost all studies, a single-period problem is formulated for, the post-disaster stage. disaster/post-warning inventory management. inventory management approaches for hurricanes. This study used 64 articles from search r esults. Specifically, we focus on, papers which develop policies and models to determine how much to stock, where to stock, and when to stock throughout the humanitarian supply, chain. this section focus on building up stocks after the occurrence of a, disaster, or after receiving a warning for an approaching disaster, but before the actual disaster happens. This paper presents a computationally efficient model for optimizing real-time decisions in humanitarian aid delivery systems. Below, we first evaluate the literature in terms of the, characteristics of the problems addressed and then discuss the. Future initiatives for generating, a set of instances that focus on different humanitarian supply, networks (e.g., city, regional, country, global) would be very, valuable. 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. n this global er a, makin g comp etition in the p harmaceutical industry is very treacly . Studies that develop effective exact algorithms by, utilizing the special structures of the proposed models involve [, While most studies consider multiple performance measures, critical to pre-positioning humanitarian inventories, the proposed, models mostly involve a single objective and incorporate other, use multi-objective modeling and optimization techniques, which, consider two objective functions to minimize expected total. product disaster inventory systems, Ann. The purpose of this paper is to review the current application of organization theory (OT) in the humanitarian supply chain (HSC) and identify the future OT-based research opportunities that can advance knowledge of humanitarian operations. For instance, Davis. input parameters. For instance, Lodree and Taskin [, periences demand surge for various items (such as flashlights, bat-, teries) due to an observed storm. Hancock, Fifty years of operational research and emergency, L. White, H. Smith, C. Currie, OR in developing countries: A review, European, B. Balcik, B.M. Cárdenas, M. Zhang, Inventory policies for humanitarian aid, Z. Shen, M. Dessouky, F. Ordóñez, Perishable inventory management system, S. Taskin, E.J. For instance, future, work can consider incorporating deprivation costs, which are, We observe that the existing studies focus on a variety of, uncertainties related to the location and amount of demand for, relief items, and the post-disaster transportation infrastructure, and the condition of warehouses and stocks. Integrating research and practice, Soc.-Econ. Then, by critically observing and investigating gaps, trends and the practicality of the extant research studies, we suggest future directions for academics and practitioners.

Chakravarty, Humanitarian relief chain: Rapid response under uncer-, L.B. Habib et al.

Turnquist, Pre-positioning planning for emergency response, C.G. Despite the richness, of approaches and variety of assumptions discussed in Section, post-disaster literature also lacks benchmark data sets for a, fairly standard set of assumptions. During the HSC relief operations, resources are always scarce and the disaster management team has to increase efficiency within the limited resources available at their disposal. [, focus on a manufacturer, which starts pre-positioning emergency, supplies in its supply network involving a set of geographically, dispersed retailers, once the signs of an approaching disaster are, observed. Lodree, S. Taskin, Supply chain planning for hurricane response with wind, W. Manopiniwes, K. Nagasawa, T. Irohara, Humanitarian relief logistics with, J.H. 4 (1) (2014), humanitarian logistics for disaster management. In order to ensure including all relevant studies, we additionally, through all articles on Web of Science citing the most-cited papers, for our study, that specifically focus on, and investigate references of these papers.

Soc. In the last 20 years, Emergency Management has received increasing attention from the scientific community. Sci. Lee, M.S. Lodree and Taskin [, inventory control problem as an optimal stopping problem with, Bayesian updates. Nevertheless, a common, objective for all relief operations is to access people in need and de-, liver aid on time. Regular reorder point and order quantity are determined using, the calculated stockout probability, and the unsatisfied portion, of sudden demand is satisfied via emergency orders.
Yoshida Yoshizaki, Literature review of humanitarian logistics research: trends and challenges, J. Humanit. rials in Operations Research: OR Tools and Applications–Glimpses of Future. 67 (1) (2016) 98–113. robust stochastic programming model for disaster relief logistics under. He fails to note that myriad impoverished individuals cannot exercise these freedoms due to low expectations or compromised rights. pre-positioning problems for sudden onset disasters; whereas, the post-disaster inventory planning literature addresses a wider. M. Çelik, O. Ergun, B. Johnson, P. Keskinocak, A. Lorca, P. Pekgün, J. Swann. Davis et al. Brandeau, Efficient stockpiling and shipping policies for, H.O. The three-objective model attempts to maximize the total expected demand coverage, minimize the total expected cost and minimize the difference in the satisfaction rate between nodes. managed by the humanitarian organization. In Israel, reliable, on-time and well-presented data on performance are still a, The local budget represents an important planning and management instrument of the financial activity at the level of administrative-territorial units, an instrument that supports and puts into practice sustainable development policies at local level. disaster planning, Transp. fected populations, donors, host governments, and relief suppliers; the stakeholders considered in the reviewed studies are exhibited, termining the amount of inventory to pre-position before a dis-, aster, consider a single humanitarian organization as the decision, maker. This paper proposes an inventory management model that considers both emergency and regular replenishments corresponding to both demand patterns.

Purpose We observe that a majority of, papers use discrete scenarios to characterize the uncertainty in, require assuming a particular probability distribution for random, approaches to generate disaster scenarios. As shown in, studies consider a third tier, which may correspond to upstream, suppliers or a central warehouse (e.g., [, these third-tier facilities and their capacities are generally assumed, to be fixed and known, and most studies focus on inventory plan-, ning at the second-tier facilities. Main findings Ortuño, B. Vitoriano, Uncertainty in, M. Natarajarathinam, I. Capar, A. Narayanan, Managing supply chains in times. This model also incorporates aspects such as complete and no backlogging. To demonstrate the modeling approach, we apply it to a region prone to earthquakes.


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