Hydro-meteorological Risk Assessment-Guided Demand Forecasting in Humanitarian Logistics Management: The Case of Tacloban City, Philippines

2019 ◽  
pp. 477-492
Author(s):  
Geomilie S. Tumamao-Guittap ◽  
Jun T. Castro
Keyword(s):  
Risk Assessment ◽  
Demand Forecasting ◽  
Humanitarian Logistics ◽  
Logistics Management

scholarly journals Relief Demand Calculation in Humanitarian Logistics Using Material Classification

2020 ◽  
Vol 17 (2) ◽  
pp. 582
Author(s):  
Jianfang Shao ◽  
Changyong Liang ◽  
Xihui Wang ◽  
Xiang Wang ◽  
Liang Liang
Keyword(s):  
Disaster Response ◽  
Demand Forecasting ◽  
Humanitarian Logistics ◽  
New Method ◽  
On Demand ◽  
Material Classification ◽  
Response Practice ◽  
Different Types ◽  
General Method

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.

scholarly journals Humanitarian Logistics Management After A Disaster: An Earthquake Case

2020 ◽  
Vol 11 (2) ◽  
pp. 679-688
Author(s):  
Elifcan GÖÇMEN ◽  
Yusuf KUVVETLİ
Keyword(s):  
Humanitarian Logistics ◽  
Logistics Management

Visualizing Humanitarian Logistics Performance

2018 ◽  
Vol 10 (4) ◽  
pp. 21-46
Author(s):  
Adam Widera ◽  
Carsten Bubbich ◽  
Bernd Hellingrath
Keyword(s):  
Information Systems ◽  
Performance Measurement ◽  
Balanced Scorecard ◽  
Design Science ◽  
Science Research ◽  
Humanitarian Logistics ◽  
Logistics Management ◽  
Design Development ◽  
Agile Programming ◽  
Applied Design

Logistics management is crucial for the effectiveness and efficiency of humanitarian operations. Performance measurement enables practitioners to identify improvement potentials and management capabilities with regards to their logistics management tasks. While many performance measurement approaches for humanitarian logistics exist in the scientific domain, its applicability in the practitioner communities is rather low. Main reasons for this mismatch can be seen in rather few ready-to-use concepts and supporting information systems. In this article, the design, development, and evaluation of an information system for a Balanced Scorecard for humanitarian logistics is presented. The approach is embedded in the design science research framework following the agile programming methodology. The main characteristics of the server client architecture are described and reflected through experiences from formative and summative evaluations. The results stress the importance of the applied design approaches and support the closing of gaps between information systems designers and humanitarian practitioners.

scholarly journals Two-Stage Robust Counterpart Model for Humanitarian Logistics Management

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Feng Yang
Keyword(s):  
Optimization Theory ◽  
Transportation Cost ◽  
Service Level ◽  
Humanitarian Logistics ◽  
Logistics Management ◽  
Actual Situation ◽  
Two Stage ◽  
Worst Case ◽  
Robust Counterpart ◽  
Emergency Decision

In the early stages of a major public emergency, decision-makers were troubled by the timely distribution of a large number of donations. In order to distribute caring materials reasonably and efficiently, considering the transportation cost and time delay cost, this paper takes the humanitarian logistics management as an example to study the scheduling problem. Based on the actual situation of insufficient supply during the humanitarian logistics management, this paper using optimization theory establishes a two-stage stochastic chance constrained (TS-SCC) model. In addition, due to the randomness of emergency occurrence and uncertainty of demand, the TS-SCC model is further transformed into the two-stage robust counterpart (TS-RC) model. At the same time, the validity of the model and the efficiency of the algorithm are verified by simulations. The result shows that the model and algorithm constructed are capable to obtain the distribution scheme of caring materials even in worst case. In the TS-BRC (with box set) model, the logistics service level increased from 89.83% to 93.21%, while in the TS-BPRC (with mixed box and polyhedron set) model, it increases from 90.32% to 94.96%. Besides, the model built in this paper can provide a more reasonable dispatching plan according to the actual situation of caring material supply.

Lessons from the humanitarian disaster logistics management

2020 ◽  
Vol 27 (4) ◽  
pp. 1455-1473 ◽  
Author(s):  
Mohammad Asif Salam ◽  
Sami A. Khan
Keyword(s):  
Disaster Relief ◽  
Humanitarian Logistics ◽  
Logistics Management ◽  
Military Establishment ◽  
Content Type ◽  
Disaster Relief Operations ◽  
Disaster Logistics ◽  
Relief Operations ◽  
The Military

PurposeThe purpose of this study is to draw lessons for logistics management in humanitarian disasters, using the earthquake in Haiti as a case study. In Haiti, there were problems with the logistical response. This study investigates the humanitarian logistics challenges faced by various stakeholders in Haiti during the disaster-relief operations.Design/methodology/approachIn this exploratory case study, the central methodology used was data triangulation. Data triangulation involved interviews with respondents grouped into three categories, non-governmental organizations (NGOs), the military establishment and the governmental agencies. Prominence is given to the common themes expressed by each group. These common themes are then compared to the themes of other groups to identify opportunities and problems for future disaster relief operations.FindingsThe study indicates that there is a clear gap in terms of how the humanitarian efforts were coordinated between different actors. Lack of civil–military cooperation and coordination was one of the findings from the interviews, and many of the resources and initiatives were overlapping or redundant. Timeliness and efficiency need to be at the forefront of all planning and would result in more saved lives and reduced human suffering. The key goal of humanitarian logistics stipulates is to form connections and relationships, which was well illustrated through the informants' interviews. It was found that organizing different stakeholders/actors to work together by sharing processes and distribution channels demands a vision that goes beyond logistics management. Government agencies, the military establishment, NGOs, locals and victims need to collaborate to create a synergy in generating solutions that are tailored to the shock of the disaster in the first place.Research limitations/implicationsThe current study relies on a single case study approach as disaster scenarios are unique in terms of their impact, magnitude, timing and location. Despite these limitations, this study provides a detailed account of the logistical challenges in dealing with the disaster that took place in Haiti. The logistics-related lessons learned from this case study should be carefully applied in other settings, taken into consideration contextual differences.Practical implicationsOne important aspect of measuring efficiency for any commercial logistics system is key performance indicators (KPIs) that indicate how well the firm is doing in managing its inbound and outbound operations. From a practical standpoint, the Haiti case raised a challenging concern with regard to how to measure the performance of humanitarian disaster logistics. This is a starting point to understand the dynamics of disaster system efficiency and logistics interplay and offers a few lessons to improve the resource availability in the case of future emergencies.Originality/valueThis study lays the groundwork for future researchers to explore and debrief on the topic once disaster relief draws to a close and time has allowed logisticians and relief workers to analyze the response mechanisms used in disasters.

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