Towards improved organisational decision-making - a method and tool-chain

Modern enterprises are large complex systems operating in an increasingly dynamic environment and are tasked to meet organisational goals by adopting suitable course of actions or means. This calls for deep understanding of the enterprise, the operating environment, and the change drivers reactive as well as proactive. Traditionally, enterprises have been relying on human experts to perform these activities. However, the sole reliance on humans for decision making is increasingly unviable given the large size of modern enterprises, fast dynamics, and the prohibitively high cost of incorrect decisions. To address this challenge, we propose a method that leverages existing enterprise modelling (EM) tools to improve the agility of organisational decision-making as well as reducing the analysis burden on human experts. The proposed method artifact employs a design science research methodology and the method is validated using a realistic industrial case to bring out its strengths as well as limitations

A review of approaches and tools for collaborative networks simulation

Collaborative networks (CN) are characterised by being complex systems, highlighting the need of considering simulation approaches to support the resolution of CN models. Simulation approaches are seen as a supporting tool to analyse the formal model of a supply network. Three relevant simulation approaches are identified for its application in the context of CN models: Discrete Events Simulation, System Dynamics and Agent Based Simulation. Each simulation approach is briefly described and compared with each other, according to a group of relevant features, with the main aim of aiding the modellers in the task of selecting the most appropriate simulation approach to address the modelling process in the context of CN. Besides, a group of commercial and academic tools are listed for each simulation approach.Andres, B.; Poler, R. (2016). A review of approaches and tools for collaborative networks simulation. Brazilian Journal of Operations and Production Management. 13(3):232-242. doi:10.14488/BJOPM.2016.v13.n3.a1S23224213

Integrated Assessment Modelling of Complexity in the New Zealand Farming Industry

As New Zealand farming industry pursues more productivity this has implication for environment and makes land use and agricultural policy decision processes more complex for which integrated assessment modeling (IAM) can support. The purpose of this review paper is to propose means through which IAM can be improved specifically to minimize uncertainties and increase relevance, reliability, and utility of outputs of different models. Literature suggests that the general motivation for land use change is that farmers do consider the environment, but need to maintain profitability. There are handful decision support tools for land use and land policy decisions but one common feature of most of the models is that each seems suitable for only a part of the complexity. An appropriate framework for linking different models in an integrated assessment is still needed. As integrated assessment often goes beyond an individual researcher‘s role, research institutions need to align their research portfolio across the dimensions of the complexity by creating an appropriate mechanism to integrate individual research into integrated assessments while individual researchers need to present modelling results in a compatible format for integration into another model‘s application.integrated assessment, modeling, complexity, farming industry, New Zealand, Agribusiness, Land Economics/Use,

Integrating security solutions to support nanoCMOS electronics research

The UK Engineering and Physical Sciences Research Council (EPSRC) funded Meeting the Design Challenges of nanoCMOS Electronics (nanoCMOS) is developing a research infrastructure for collaborative electronics research across multiple institutions in the UK with especially strong industrial and commercial involvement. Unlike other domains, the electronics industry is driven by the necessity of protecting the intellectual property of the data, designs and software associated with next generation electronics devices and therefore requires fine-grained security. Similarly, the project also demands seamless access to large scale high performance compute resources for atomic scale device simulations and the capability to manage the hundreds of thousands of files and the metadata associated with these simulations. Within this context, the project has explored a wide range of authentication and authorization infrastructures facilitating compute resource access and providing fine-grained security over numerous distributed file stores and files. We conclude that no single security solution meets the needs of the project. This paper describes the experiences of applying X.509-based certificates and public key infrastructures, VOMS, PERMIS, Kerberos and the Internet2 Shibboleth technologies for nanoCMOS security. We outline how we are integrating these solutions to provide a complete end-end security framework meeting the demands of the nanoCMOS electronics domain

A model based approach for complex dynamic decision-making

Current state-of-the-practice and state-of-the-art of decision-making aids are inadequate for modern organisations that deal with significant uncertainty and business dynamism. This paper highlights the limitations of prevalent decision-making aids and proposes a model-based approach that advances the modelling abstraction and analysis machinery for complex dynamic decision-making. In particular, this paper proposes a meta-model to comprehensively represent organisation, establishes the relevance of model-based simulation technique as analysis means, introduces the advancements over actor technology to address analysis needs, and proposes a method to utilise proposed modelling abstraction, analysis technique, and analysis machinery in an effective and convenient manner. The proposed approach is illustrated using a near real-life case-study from a business process outsourcing organisation

A domain specific language for complex dynamic decision making

Effective decision making of organisation requires deep understanding of various organisational aspects such as its goals, structure, business-as-usual operational processes in the context of dynamic, socio-technical and uncertain business envi-ronment. Decision making approaches adopt a range of modelling and analysis techniques for effective decision making. The current state-of-practice of deci-sion-making typically relies heavily on human experts using intuition aided by ad-hoc representation of an organisation. Existing technologies for decision mak-ing are not able to represent all constructs that are needed for effective decision making nor do they comprehensively address the analysis needs. This paper pro-poses a meta-model to represent organisation and decision artifacts in a compre-hensive, relatable and analysable form that serves as a basis for a domain specific language (DSL) for complex dynamic decision making. The efficacy of the pro-posed meta-model as regards specification and analysis is evaluated using a real-life scenario

Energy efficiency in discrete-manufacturing systems: insights, trends, and control strategies

Since the depletion of fossil energy sources, rising energy prices, and governmental regulation restrictions, the current manufacturing industry is shifting towards more efficient and sustainable systems. This transformation has promoted the identification of energy saving opportunities and the development of new technologies and strategies oriented to improve the energy efficiency of such systems. This paper outlines and discusses most of the research reported during the last decade regarding energy efficiency in manufacturing systems, the current technologies and strategies to improve that efficiency, identifying and remarking those related to the design of management/control strategies. Based on this fact, this paper aims to provide a review of strategies for reducing energy consumption and optimizing the use of resources within a plant into the context of discrete manufacturing. The review performed concerning the current context of manufacturing systems, control systems implemented, and their transformation towards Industry 4.0 might be useful in both the academic and industrial dimension to identify trends and critical points and suggest further research lines.Peer ReviewedPreprin