Humanitarian assistance and disaster relief in the perspective of Indonesia Defense Policy

The development and progression in humankind’s understanding of the world and life, ensured a continuous evolution in the response to events threatening our livelihoods. Humankind also developed techniques to deal with natural hazards, either by aiming to contain the forces of nature, or by altering human own behavior. The humanitarian assistance and disaster relief are crucially important in order to protect the nations. This research employed literature review method. The results showed that every nation should prepare and manage their capabilities in Humanitarian Assistance and Disaster Relief (HADR), both in protection for own countries or in providing aids for the others. Military Operation Other Than War (MOOTW) does not involve the use or threat of violence but prioritizes the provision of HADR. In MOOTW, military forces synergize with other institutions/organizations, especially those related to diplomacy, economy, government, even politics and religion. Moreover, in handling disasters, especially in Indonesia, the combination between civilians and the military is crucial in realizing Civil-Military Cooperation (CIMIC) and Civil-Military Coordination (CMCoord). Under certain mechanism, the military power is only used to support civilian institution in HADR.

Haiti: The Development of “Seamless” Assistance from Disaster Relief to UNPKOs

In this chapter, we will examine Japan’s response to a complex crisis in Haiti, in which a natural disaster and civil unrest were compounded. Persistent insecurity and confusion in Haiti, albeit under the presence of an ongoing United Nations Peacekeeping Operation (UNPKO), further deteriorated after the great earthquake in 2010. This challenge unexpectedly propelled Japan’s move toward closer “integration,” since several layers of civil-military cooperation rapidly developed to cope with the complicated emergency in post-earthquake Haiti. First, the Government of Japan (GoJ) deployed a civilian medical team and the Self-Defense Forces (SDF) emergency medical assistance unit (hereafter, the SDF medical unit) under the Japan Disaster Relief (JDR) Act. Following the SDF medical unit’s JDR work, the Japanese Red Cross Society (JRCS) carried on with medical assistance. Second, once emergency medical support ended, an SDF contingent was dispatched under the Peacekeeping Operations (PKO) Act. The Japan Engineering Groups’ (JEG’s) engagement in reconstruction served as a useful opportunity for the GoJ to refine the “All Japan” approach, further encouraging Japan’s inclination toward “integration.” Meanwhile, the experience in Haiti shed light on the gap in the legal assumptions between the JDR Act and the PKO Act, since neither of them anticipated the protection of civil JDR teams in insecurity.

Bi-objective facility location under uncertainty with an application in last-mile disaster relief

Multiple and usually conflicting objectives subject to data uncertainty are main features in many real-world problems. Consequently, in practice, decision-makers need to understand the trade-off between the objectives, considering different levels of uncertainty in order to choose a suitable solution. In this paper, we consider a two-stage bi-objective single source capacitated model as a base formulation for designing a last-mile network in disaster relief where one of the objectives is subject to demand uncertainty. We analyze scenario-based two-stage risk-neutral stochastic programming, adaptive (two-stage) robust optimization, and a two-stage risk-averse stochastic approach using conditional value-at-risk (CVaR). To cope with the bi-objective nature of the problem, we embed these concepts into two criterion space search frameworks, the $$\epsilon $$ ϵ -constraint method and the balanced box method, to determine the Pareto frontier. Additionally, a matheuristic technique is developed to obtain high-quality approximations of the Pareto frontier for large-size instances. In an extensive computational experiment, we evaluate and compare the performance of the applied approaches based on real-world data from a Thies drought case, Senegal.