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Coordinating humanitarian supply chains can be challenging in terms of getting timely aid to those who need it. While operations in commercial supply chains have been well studied, research studies that address coordination in humanitarian supply chains are still lacking. Unlike commercial supply chains, humanitarian supply chains focus on delivering what customers "need" rather than "want" within difficult environments rife with uncertainty. This paper introduces the "Humanitarian Aid and Relief Distribution (HARD) Game" as an experiential learning tool that explores the potential for increased operational efficiency while balancing decision tradeoffs impacting humanitarian supply chain performance, including beneficiary demand satisfaction, operational costs, and transportation resources utilization. The HARD game is intended for graduate and undergraduate students in courses dealing with topics on supply chain management. It allows students to analyze aspects that significantly impact humanitarian supply chain operations, such as: supply chain coordination and planning, supply chain risks, demand volatility, and competing objectives. Statistical analysis of students' survey responses provide evidence that the HARD game is an effective pedagogical tool that is engaging for students and complementary to the traditional lecture format in the field of supply chain management education.

SUPPLY CHAIN MANAGEMENT (SCM) IS ONE of the operations management practices that is abundantly present in our modern daily life. Almost any merchandise we purchase is a product of some [...]

Organizations that utilize fleets of expensive repairable equipment are faced with numerous challenges related to the specification of maintenance policies and the allocation of maintenance resources. The associated maintenance decisions can have a drastic impact on fleet performance. Due to the significant acquisition costs associated with the components that comprise the units of equipment in the fleet, cannibalization is often used in the absence of available spare parts to enable fleet maintenance managers to satisfy fleet performance constraints such as readiness requirements. This research is focused on the development and analysis of a closed-network, discrete-event simulation model that is used to assess the impacts of cannibalization, small spare parts inventories and maintenance-induced damage on a fleet of systems. Using numerical examples, we demonstrate the comparison between cannibalization and the investment in limited spare parts inventories. We evaluate fleet performance using average readiness and total maintenance cost. Specifically, we demonstrate that investments in spare parts inventories can reduce the need for and value of cannibalization. However, our results also support the use of cannibalization as a low-cost alternative to investing in expensive spare parts. We also explore the impact of damage induced by maintenance on fleet performance. Specifically, we demonstrate that maintenance-induced damage can reduce the benefit of cannibalization while drastically increasing maintenance expenditures. Copyright © 2006 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]