Aspects of the design and control of manufacturing systems subject to demand uncertainty

The recent explosive growth in advanced manufacturing technology (AMT) and continued development of sophisticated information technologies (IT) is expected to have a profound effect on the way we design and operate manufacturing businesses. Furthermore, the escalating capital requirements associated with these developments have significantly increased the level of risk associated with initial design, ongoing development and operation. This dissertation has examined the integration of two key sub-elements of the Computer Integrated Manufacturing (CIM) system, namely the manufacturing facility and the production control system. This research has concentrated on the interactions between production control (MRP) and an AMT based production facility. The disappointing performance of such systems has been discussed in the context of a number of potential technological and performance incompatibilities between these two elements. It was argued that the design and selection of operating policies for both is the key to successful integration. Furthermore, policy decisions are shown to play an important role in matching the performance of the total system to the demands of the marketplace. It is demonstrated that a holistic approach to policy design must be adopted if successful integration is to be achieved. It is shown that the complexity of the issues resulting from such an approach required the formulation of a structured design methodology. Such a methodology was subsequently developed and discussed. This combined a first principles approach to the behaviour of system elements with the specification of a detailed holistic model for use in the policy design environment. The methodology aimed to make full use of the `low inertia' characteristics of AMT, whilst adopting a JIT configuration of MRP and re-coupling the total system to the market demands. This dissertation discussed the application of the methodology to an industrial case study and the subsequent design of operational policies. Consequently a novel approach to production control resulted. A central feature of which was a move toward reduced manual intervention in the MRP processing and scheduling logic with increased human involvement and motivation in the management of work-flow on the shopfloor. Experimental results indicated that significant performance advantages would result from the adoption of the recommended policy set.

EU governance of the internet:analyzing Europol’s role in the development of a EU cyber crime and cyber security policies

In recent years, the European Union has come to view cyber security, and in particular, cyber crime as one of the most relevant challenges to the completion of its Area of Freedom, Security and Justice. Given European societies’ increased reliance on borderless and decentralized information technologies, this sector of activity has been identified as an easy target for actors such as organised criminals, hacktivists or terrorist networks. Such analysis has been accompanied by EU calls to step up the fight against unlawful online activities, namely through increased cooperation among law enforcement authorities (both national and extra- communitarian), the approximation of legislations, and public- private partnerships. Although EU initiatives in this field have, so far, been characterized by a lack of interconnection and an integrated strategy, there has been, since the mid- 2000s, an attempt to develop a more cohesive and coordinated policy. An important part of this policy is connected to the activities of Europol, which have come to assume a central role in the coordination of intelligence gathering and analysis of cyber crime. The European Cybercrime Center (EC3), which will become operational within Europol in January 2013, is regarded, in particular, as a focal point of the EU’s fight against this phenomenon. Bearing this background in mind, the present article wishes to understand the role of Europol in the development of a European policy to counter the illegal use of the internet. The article proposes to reach this objective by analyzing, through the theoretical lenses of experimental governance, the evolution of this agency’s activities in the area of cyber crime and cyber security, its positioning as an expert in the field, and the consequences for the way this policy is currently developing and is expected to develop in the near future.

The micro-politics of operational adjustment:veto players and the consolidation of demand in the NHS

Recent reports about procurement within the NHS have been highly critical. One problem identified in the reports is the fragmentation of NHS demand across an unnecessarily large number of suppliers. This fragmentation is said to increase transaction costs, reduce opportunities for scale economies and reduce NHS leverage over suppliers. It has been suggested, therefore, that an important way of improving procurement in the NHS is the better consolidation of demand with a lower number of preferred suppliers. However, such a policy, because it will create ‘winners’ and ‘losers’ within NHS organisations, has political as well as technical and practical ramifications. In this article, the authors present a model, the Veto Players Model, in order to assist managers to address these political ramifications. In the article, the authors not only demonstrate the utility of this model with regard to demand consolidation policies, but also argue that the model provides useful lessons for change management initiatives more generally.

An operational research-based integrated approach for mass evacuation planning of a city

Large-scale disasters are constantly occurring around the world, and in many cases evacuation of regions of city is needed. ‘Operational Research/Management Science’ (OR/MS) has been widely used in emergency planning for over five decades. Warning dissemination, evacuee transportation and shelter management are three ‘Evacuation Support Functions’ (ESF) generic to many hazards. This thesis has adopted a case study approach to illustrate the importance of integrated approach of evacuation planning and particularly the role of OR/MS models. In the warning dissemination phase, uncertainty in the household’s behaviour as ‘warning informants’ has been investigated along with uncertainties in the warning system. An agentbased model (ABM) was developed for ESF-1 with households as agents and ‘warning informants’ behaviour as the agent behaviour. The model was used to study warning dissemination effectiveness under various conditions of the official channel. In the transportation phase, uncertainties in the household’s behaviour such as departure time (a function of ESF-1), means of transport and destination have been. Households could evacuate as pedestrians, using car or evacuation buses. An ABM was developed to study the evacuation performance (measured in evacuation travel time). In this thesis, a holistic approach for planning the public evacuation shelters called ‘Shelter Information Management System’ (SIMS) has been developed. A generic allocation framework of was developed to available shelter capacity to the shelter demand by considering the evacuation travel time. This was formulated using integer programming. In the sheltering phase, the uncertainty in household shelter choices (either nearest/allocated/convenient) has been studied for its impact on allocation policies using sensitivity analyses. Using analyses from the models and detailed examination of household states from ‘warning to safety’, it was found that the three ESFs though sequential in time, however have lot of interdependencies from the perspective of evacuation planning. This thesis has illustrated an OR/MS based integrated approach including and beyond single ESF preparedness. The developed approach will help in understanding the inter-linkages of the three evacuation phases and preparing a multi-agency-based evacuation planning evacuation

CloudMPL:a domain specific language for describing management policies for an autonomic cloud infrastructure

To benefit from the advantages that Cloud Computing brings to the IT industry, management policies must be implemented as a part of the operation of the Cloud. Among others, for example, the specification of policies can be used for the management of energy to reduce the cost of running the IT system or also for security policies while handling privacy issues of users. As cloud platforms are large, manual enforcement of policies is not scalable. Hence, autonomic approaches for management policies have recently received a considerable attention. These approaches allow specification of rules that are executed via rule-engines. The process of rules creation starts by the interpretation of the policies drafted by high-rank managers. Then, technical IT staff translate such policies to operational activities to implement them. Such process can start from a textual declarative description and after numerous steps terminates in a set of rules to be executed on a rule engine. To simplify the steps and to bridge the considerable gap between the declarative policies and executable rules, we propose a domain-specific language called CloudMPL. We also design a method of automated transformation of the rules captured in CloudMPL to the popular rule-engine Drools. As the policies are changed over time, code generation will reduce the time required for the implementation of the policies. In addition, using a declarative language for writing the specifications is expected to make the authoring of rules easier. We demonstrate the use of the CloudMPL language into a running example extracted from a management energy consumption case study.