Clarifying interoperability: The SISO CSPI PDG standard for commercial off-the-shelf simulation package interoperability reference models

Commercial-off-the-shelf simulation packages (CSPs), visual interactive modelling environments such as Arena, Anylogic, Flexsim, Simul8, Witness, etc., are important "black box" software tools that support the development, experimentation and visualization of simulation models. They are widely used in commerce, defence, health, manufacturing and logistics. There is a growing need to link together, or to interoperate, models developed in these CSPs across computer networks. The motivation for this includes data sensitivity, difficult to move resources and speed up

'Sense and respond' and 'autonomic' logistics: a review of US and UK developments

Until recently, platform-based, logistics applications required data to be physically downloaded and transferred between systems so that analysis could estimate the status of key components. In both the Sense and Respond Logistics (S&RL) and Autonomic Logistics (AL) systems, prognostics have been added to monitoring functions, effectively extending the reach of Combat Service Support (CSS). The scope the supply chain has also been expanded with the potential inclusion of some classes of supply within the AL approach. The real time and predictive aspects are relatively new logistics developments facilitated by the real-time communication of data while platforms are in operation. While the (Australian) Military Integrated Logistics Information System (MILIS) proposes to extend the reach of supply chain information to sub-unit level, it falls short of crossing the gap to link Health and Usage Monitoring System (HUMS), platform-based, data into the logistics continuum to provide end-to-end visibility, a foxhole-to-factory-to-foxhole perspective, of the supply chain. This paper will review developments in recent military applications of Autonomic Logistics and Sense & Respond Logistics in the United States Defense Forces and the military in the UK while also considering a selection of Australian Defence Force programs. It will state the case for application of Autonomic Logistics and Sense & Respond Logistics to the ASLAV and Bushmaster platforms, in a similar fashion to those employed in the US and the UK, as a source of accurate and up-to-date CSS information for the various levels of command

Understanding collaborative supply chain relationships through the application of the Williamson organisational failure framework

Many researchers have studied supply chain relationships however, the preponderance of open markets situations and ‘industry-style’ surveys have reduced the empirical focus on the dynamics of long-term, collaborative dyadic relationships. Within the supply chain the need for much closer, long-term relationships is increasing due to supplier rationalisation and globalisation (Spekman et al, 1998) and more information about these interactions is required. The research specifically tested the well-accepted Williamson’s (1975) Economic Organisations Failure Framework as a theoretical model through which long term collaborative relationships can be

An overview on the obsolescence of physical assets for the defence facing the challenges of industry 4.0 and the new operating environments

Libro en Open AccessThis contribution is intended to observe special features presented in physical assets for defence. Particularly, the management of defence assets has to consider not only the reliability, availability, maintainability and other factors frequently used in asset management. On the contrary, such systems should also take into account their adaptation to changing operating environments as well as their capability to changes on the technological context. This study approaches to the current real situation where, due to the diversity of conflicts in our international context, the same type of defence systems must be able to provide services under different boundary conditions in different areas of the globe. At the same time, new concepts from the Industry 4.0 provide quick changes that should be considered along the life cycle of a defence asset. As a finding or consequence, these variations in operating conditions and in technology may accelerate asset degradation by modifying its reliability, its up-to-date status and, in general terms, its end-of-life estimation, depending of course on a diversity of factors. This accelerated deterioration of the asset is often known as “obsolescence” and its implications are often evaluated (when possible), in terms of costs from different natures. The originality of this contribution is the introduction of a discussion on how a proper analysis may help to reduce errors and mistakes in the decision-making process regarding the suitability or not of repairing, replacing, or modernizing the asset or system under study. In other words, the obsolescence analysis, from a reliability and technological point of view, could be used to determine the conservation or not of a specific asset fleet, in order to understand the effects of operational and technology factors variation over the functionality and life cycle cost of physical assets for defence

Network Topology and Time Criticality Effects in the Modularised Fleet Mix Problem

In this paper, we explore the interplay between network topology and time criticality in a military logistics system. A general goal of this work (and previous work) is to evaluate land transportation requirements or, more specifically, how to design appropriate fleets of military general service vehicles that are tasked with the supply and re-supply of military units dispersed in an area of operation. The particular focus of this paper is to gain a better understanding of how the logistics environment changes when current Army vehicles with fixed transport characteristics are replaced by a new generation of modularised vehicles that can be configured task-specifically. The experimental work is conducted within a well developed strategic planning simulation environment which includes a scenario generation engine for automatically sampling supply and re-supply missions and a multi-objective meta-heuristic search algorithm (i.e. Evolutionary Algorithm) for solving the particular scheduling and routing problems. The results presented in this paper allow for a better understanding of how (and under what conditions) a modularised vehicle fleet can provide advantages over the currently implemented system

Guide to Australia’s national security capability

This paper provides a single consolidated picture of the capabilities that enable Australia to achieve national security outcomes in a range of environments, including domestically, at the border, offshore and in cyberspace. Introduction The period since 2001 has been transformative for Australia’s national security and our national security challenges continue to evolve. To meet these challenges, we need new ways to coordinate and develop our capability and to shape the national security environment. Significant advances have been made in recent years to build greater collaboration and interoperability across the national security community. However, the increasing complexity of national security threats requires an even more consistent and connected approach to capability planning that complements existing individual agency arrangements. To that end, the Government has developed a security classified National Security Capability Plan to provide a single consolidated picture of the capabilities that enable Australia to achieve national security outcomes. This Guide offers an overview of Australia’s national security capability planning. It identifies the functions performed by the national security community and how these achieve the objectives outlined in the National Security Strategy (2013). Capability planning is one of the tools that support Government to better consider how capabilities can be directed to meet national security objectives. This ensures that capability investment is focussed and that Government can give appropriate consideration to redirecting existing capabilities to meet new or emerging risks and opportunities. It also highlights areas where agencies’ capabilities are interdependent, identifying focus areas for collaboration and interoperability. Having a better understanding of our capabilities will help us to make more informed decisions about what we need. Australia’s national security arrangements are underpinned by a number of agencies working across areas such as diplomacy, defence, development, border protection, law enforcement and intelligence. Australia’s national security agencies include: Attorney-General’s Department (AGD) Australian Agency for International Development (AusAID) Australian Crime Commission (ACC) Australian Customs and Border Protection Service (ACBPS) Australian Federal Police (AFP) Australian Security Intelligence Organisation (ASIO) Australian Secret Intelligence Service (ASIS) Australian Geospatial-Intelligence Organisation (AGO) Australian Signals Directorate (ASD) Department of Agriculture, Fisheries and Forestry (DAFF) Department of Defence (Defence) Department of Foreign Affairs and Trade (DFAT) Department of Health and Ageing (DoHA) Department of Immigration and Citizenship (DIAC) Department of Infrastructure and Transport (DIT) Department of the Prime Minister and Cabinet (PM&C) Office of National Assessments (ONA). The Capability Plan brings together, for the first time, a single view of the capabilities maintained by these agencies with the exception of Defence capabilities. Defence has a separate established capability planning process that includes the Defence White Paper (2013) and Defence Capability Plan (2012). Defence is a key contributor to Australia’s national security arrangements including leading the coordination and delivery of national security science and technology and works in close cooperation with other national security agencies. Defence capabilities will continue to be managed through existing mechanisms, principally the Defence Capability Plan. For the first time, the Capability Plan, and the accompanying Guide to Australia’s National Security Capability, presents a unified picture of the capabilities that exist across non-Defence national security agencies. Together with other strategic planning tools, this work informs the broader national security planning cycle and supports the objectives and implementation of overarching policy documents such as the National Security Strategy and the Australia in the Asian Century White Paper. The Capability Plan complements the Defence Capability Plan and does not seek to duplicate it. It should also be noted that the Guide has not been designed to signal specific initiatives or tender opportunities. Such processes will continue to be managed by individual agencies

Optimization models of the supply of power structures’ organizational units with centralized procurement

Management of the state power structures’ organizational units for materiel and technical support requires the use of effective tools for supporting decisions, due to the complexity, interdependence, and dynamism of supply in the market economy. The corporate nature of power structures is of particular interest to centralized procurement management, as it provides significant advantages through coordination, eliminating duplication, and economy of scale. This article presents optimization models of the supply of state power structures’ organizational units with centralized procurement, for different levels of simulated materiel and technical support processes. The models allow us to find the most profitable options for state power structures’ organizational supply units in a centre-oriented logistics system in conditions of the changing needs, volume of allocated funds, and logistics costs that accompany the process of supply, by maximizing the provision level of organizational units with necessary material and technical resources for the entire planning period of supply by minimizing the total logistical costs, taking into account the diverse nature and the different priorities of organizational units and material and technical resources

A survey of simulation techniques in commerce and defence

Despite the developments in Modelling and Simulation (M&S) tools and techniques over the past years, there has been a gap in the M&S research and practice in healthcare on developing a toolkit to assist the modellers and simulation practitioners with selecting an appropriate set of techniques. This study is a preliminary step towards this goal. This paper presents some results from a systematic literature survey on applications of M&S in the commerce and defence domains that could inspire some improvements in the healthcare. Interim results show that in the commercial sector Discrete-Event Simulation (DES) has been the most widely used technique with System Dynamics (SD) in second place. However in the defence sector, SD has gained relatively more attention. SD has been found quite useful for qualitative and soft factors analysis. From both the surveys it becomes clear that there is a growing trend towards using hybrid M&S approaches