Hazard Risk Management in Large Nordic Companies' Operations in Russia

The objective of this research was to describe how Nordic companies manage hazard risks in their operations in Russia and how the local business environment is considered to affect the hazard risks. Research methods used in this research were literature review and expert interviews. Twelve Nordic industrial companies operating in different fields of industry were interviewed. Large Nordic companies typically guide risk management centralized from the parent company on behalf of the whole company group and the risk management standards and policies are integrated in all subsidiaries. Parent companies typically control hazard risk management in Russia by regular risk management reporting, auditing the Russian sites and by training local managers and employees to risk management work. Many companies have experienced several losses in the first years of operating in Russia before the risk management policies have been implemented in Russian subsidiaries. The companies have learned to take local characteristics better into account by experience and most companies are quite satisfied with their current risk management standards in Russia. The interviews indicate that companies experience especially the poor quality of infrastructure, some features in Russian organizational culture and high level of criminality to increase hazard risks in Russia. However, understanding these features and risks in the business environment makes the management of these risks possible. Risks related to infrastructure can be managed in advance by decreasing dependencies of infrastructure and considering the infrastructure quality already when planning the business operations. Also good local network is often considered critical in order to overcome the complications related to infrastructure. Russian personnel has typically different attitude towards risk management than Nordic personnel and neglecting safety and maintenance and concealing losses is more typical in Russia. By training and guiding the local personnel risk management and safety work and desired ways of actions these risks can be decreased. Criminality risks are often managed to certain extent by investing in security, increasing supervising and paying attention to reliability of the employees and other interest groups of the company.

Local Embeddedness and Knowledge Acquisition and How They Affect Finnish Business Operations in Russia

This pilot project aims examine the factors of the Finnish subsidiaries local embeddedness, their knowledge creation capabilities and the transfer mechanisms of new practices in the context of the Russian market. The research is designed as a multiple case study conducted with a qualitative approach. The empirical data consists of the interviews of the four Finnish case companies operating in the Kaluga region and three local partner companies. The deductive and inductive approaches were employed to conduct the analysis of the data. The propositions for the future study were developed in the conclusive chapters of the research, where we propose that the factor of the economy growth and industrialization matters in terms of subsidiaries’ role dedication, their knowledge creation capabilities, and direction of the knowledge flow within the local environment.

Reframing the relationship between service design and operations: a service engineering approach

The significance of services as business and human activities has increased dramatically throughout the world in the last three decades. Becoming a more and more competitive and efficient service provider while still being able to provide unique value opportunities for customers requires new knowledge and ideas. Part of this knowledge is created and utilized in daily activities in every service organization, but not all of it, and therefore an emerging phenomenon in the service context is information awareness. Terms like big data and Internet of things are not only modern buzz-words but they are also describing urgent requirements for a new type of competences and solutions. When the amount of information increases and the systems processing information become more efficient and intelligent, it is the human understanding and objectives that may get separated from the automated processes and technological innovations. This is an important challenge and the core driver for this dissertation: What kind of information is created, possessed and utilized in the service context, and even more importantly, what information exists but is not acknowledged or used? In this dissertation the focus is on the relationship between service design and service operations. Reframing this relationship refers to viewing the service system from the architectural perspective. The selected perspective allows analysing the relationship between design activities and operational activities as an information system while maintaining the tight connection to existing service research contributions and approaches. This type of an innovative approach is supported by research methodology that relies on design science theory. The methodological process supports the construction of a new design artifact based on existing theoretical knowledge, creation of new innovations and testing the design artifact components in real service contexts. The relationship between design and operations is analysed in the health care and social care service systems. The existing contributions in service research tend to abstract services and service systems as value creation, working or interactive systems. This dissertation adds an important information processing system perspective to the research. The main contribution focuses on the following argument: Only part of the service information system is automated and computerized, whereas a significant part of information processing is embedded in human activities, communication and ad-hoc reactions. The results indicate that the relationship between service design and service operations is more complex and dynamic than the existing scientific and managerial models tend to view it. Both activities create, utilize, mix and share information, making service information management a necessary but relatively unknown managerial task. On the architectural level, service system -specific elements seem to disappear, but access to more general information elements and processes can be found. While this dissertation focuses on conceptual-level design artifact construction, the results provide also very practical implications for service providers. Personal, visual and hidden activities of service, and more importantly all changes that take place in any service system have also an information dimension. Making this information dimension visual and prioritizing the processed information based on service dimensions is likely to provide new opportunities to increase activities and provide a new type of service potential for customers.

Operations management in courts of justice - outlining functions, challenges and development possibilities

Professional services are an increasingly important group of economy and related to them there has been identified a fairly new concept called professional service operations management. However professional service operations management is still quite under-researched area which needs further research especially in specific contexts. This study aims to respond to that need by examining courts as an environment for operations management. As a result there is a preliminary structured description of what operations management is and could be in courts. The study also aims to inspire and tentatively classify possible areas for future research. Courts are examined based on three common perspectives for typical characteristics of professional services which can be identified in literature: the nature of customer role, the nature of professional work and the nature of process and product. The examination is based on research data from several research projects conducted in Finland and other European countries. Based on the examination it can be said that the operational environment of courts is highly complex and demanding because the case as an object of operations management tasks is challenging, the process sets strict requirements to the handling of the cases and the workforce is hard to direct.

Intelligence in peace support operations

Finnish Defence Studies is published under the auspices of the National Defence College, and the contributions reflect the fields of research and teaching of the College. Finnish Defence Studies will occasionally feature documentation on Finnish Security Policy. Views expressed are those of the authors and do not necessarily imply endorsement by the National Defence College.

Civilian-military cooperation in crisis management operations

Finnish Defence Studies is published under the auspices of the National Defence College, and the contributions reflect the fields of research and teaching of the College. Finnish Defence Studies will occasionally feature documentation on Finnish Security Policy. Views expressed are those of the authors and do not necessarily imply endorsement by the National Defence College.

The Soviet plans for the North Western theatre of operations in 1939-1944

Finnish Defence Studies is published under the auspices of the National Defence College, and the contributions reflect the fields of research and teaching of the College. Finnish Defence Studies will occasionally feature documentation on Finnish Security Policy. Views expressed are those of the authors and do not necessarily imply endorsement by the National Defence College.

Performance improvement in mediterranean operations using risk management analysis : Case study of Containerships Group Ltd

Emerging markets of Northern Africa and Turkey provide growth opportunities for logistics service companies in the middle of low growth environment of European Union. The purpose of this research is to explore and analyze the risk factors in container shipping industry and third party logistics (3PL) services. The research empirically examined the risk factors, which are related within the interaction between these two parties in emerging markets of Mediterranean area. The previous studies have provided a valuable insight into the operational risks faced by container shipping industries. However, most of these studies have focused on one or several operational risk factors from a single point of view, and no studies have inclusively examined the possible operational risks faced in the container shipping industry from dual perspective of 3PL provider and its customers. A questionnaire has been deployed to collect related data; and the impacts of the risks were then be assessed and ranked using the method of risk mapping. Respondents were located in Turkey, Algeria, Tunisia, and Libya. Research presents the most important risk factors identified, and compares them between 3PL provider and its customers. The research also provide some risk mitigation strategies for the key risk factors, and tried to figure out a common risk picture, which guides the managers in both sides to have a better decisions and as a result, improve the performance of the container shipping operations. Challenge during project execution time was that customers identified vast amount of more risks than what was the case with logistics service operator.

Data and Inventory Management in Spare Part Business: Developing Operations in the Case Company

After sales business is an effective way to create profit and increase customer satisfaction in manufacturing companies. Despite this, some special business characteristics that are linked to these functions, make it exceptionally challenging in its own way. This Master’s Thesis examines the current situation of the data and inventory management in the case company regarding possibilities and challenges related to the consolidation of current business operations. The research examines process steps, procedures, data requirements, data mining practices and data storage management of spare part sales process, whereas the part focusing on inventory management is reviewing the current stock value and examining current practices and operational principles. There are two global after sales units which supply spare parts and issues reviewed in this study are examined from both units’ perspective. The analysis is focused on the operations of that unit where functions would be centralized by default, if change decisions are carried out. It was discovered that both data and inventory management include clear shortcomings, which result from lack of internal instructions and established processes as well as lack of cooperation with other stakeholders related to product’s lifecycle. The main product of data management was a guideline for consolidating the functions, tailored for the company’s needs. Additionally, potentially scrapped spare part were listed and a proposal of inventory management instructions was drafted. If the suggested spare part materials will be scrapped, stock value will decrease 46 percent. A guideline which was reviewed and commented in this thesis was chosen as the basis of the inventory management instructions.

Greener Golf Operations: A Comparative Case Study of Ontario Golf Courses Engaged in Environmental Sustainability Initiatives

This research explored environmental sustainability (ES) initiatives at five top-ranked Ontario golf courses that were members of the Audubon Cooperative Sanctuary Program for Golf (ACSP). Research Questions: (1) How are golf courses adapting to safeguard the natural environment? (2) Why or why not are golf courses moving to ES? and (3) What are the arising barriers to ES in golf and how can they be overcome; what role does communication play? Overall, the research was framed with an adaptation of the dimensions of convergence by Houlihan (2012), including the motives, inputs, implementation, momentum, and impact. Additionally, impression management and message framing constructs were utilized to address the issue of communicating ES initiatives. Data collection involved in-depth interviews, observations, and unobtrusive document collection. Environmental aspects of the examination were guided by the Canadian Standards Association (CSA) Requirements and Guidance for Organizers of Sustainable Events and Sustainable Sport and Event Toolkit (SSET).

Summary of Research Conducted by the Manufacturing Systems Team 1994-2002

The Manufacturing Systems team was one of the research teams within the Lean Aerospace Initiative (LAI) whose goal was to document, analyze and communicate the design attributes and relationships that lead to significant performance improvements in manufacturing systems in the defense aerospace industry. This report will provide an integrated record of this research using the Production Operations Transition to Lean Roadmap as its organizing framework.

From architecturology to architecturological research

This paper presents a genesis of the French research field of Architecturology, from its creation to the current researches developed from it, at ARIAM-LAREA (National School of Architecture of Paris-la-Villette Laboratory of modeling for computer aids of cognitive activity of conception). Architecturology has been thought at the creation of French Schools of Architecture that has been initiated with the French movement of 1968 May. Its major aim is to build specific knowledge on architecture for learning architecture. The first book of the beginnings of this scientific field is “Sur l’espace architectural” written by Ph. Boudon and published in 1971. It’s currently constituted with a scientific systemic language and a paradigm that help to explain cognitive activity of design named by it, conception. This scientific language has been published in “Enseigner la conception architecturale: cours d’architecturologie” written by Ph. Boudon, Ph. Deshayes, F. Pousin and F. Shatz, and published in 1994 and in 2000, in “Echelle(s)” published in 2002 and which gathers different articles of Ph. Boudon and, in different articles of the team of LAREA - Ph. Boudon, Ph. Deshayes, F. Pousin, F. Shatz and C. Lecourtois. From this scientific language and the paradigm of Architecturology, I develop methods for extending the field of knowledge of this point of view by doing researches in architecture. These methods are gathered into the concept of Applied Architecturology. In 2005, LAREA has merged with a research team interested in Computer Aided Design, named ARIAM. To create ARIAM-LAREA, we have built a new research program on Computer Aided Conception where we use Applied Architecturology for 1) producing new knowledge on implications of Computer in cognitive activity of design and 2) developing new software to Support some operations of conception. This paper exposes my current research work and three theses that I co-lead at ARIAMLAREA on this object.

Storm prediction research and its application to the oil/gas industry

The accurate prediction of storms is vital to the oil and gas sector for the management of their operations. An overview of research exploring the prediction of storms by ensemble prediction systems is presented and its application to the oil and gas sector is discussed. The analysis method used requires larger amounts of data storage and computer processing time than other more conventional analysis methods. To overcome these difficulties eScience techniques have been utilised. These techniques potentially have applications to the oil and gas sector to help incorporate environmental data into their information systems

MI(R,)G(R) and British Covert Operations, 1939-42

The Military Intelligence (Research) Department of the British War Office was tasked in 1940 with encouraging and supporting armed resistance in occupied Europe and the Axis-controlled Middle East. The major contention of this paper is that, in doing so, MI(R) performed a key role in British strategy in 1940-42 and in the development of what are now known as covert operations. MI(R) developed an organic, but coherent doctrine for such activity which was influential upon the Special Operations Executive (SOE) and its own sub-branch, G(R), which applied this doctrine in practice in East Africa and the Middle East in 1940-41. It was also here that a number of key figures in the development of covert operations and special forces first cut their teeth, the most notable being Major Generals Colin Gubbins and Orde Wingate.

Final report on research project PS2010, proof of concept of automated mapping of weeds in arable fields

Many weeds occur in patches but farmers frequently spray whole fields to control the weeds in these patches. Given a geo-referenced weed map, technology exists to confine spraying to these patches. Adoption of patch spraying by arable farmers has, however, been negligible partly due to the difficulty of constructing weed maps. Building on previous DEFRA and HGCA projects, this proposal aims to develop and evaluate a machine vision system to automate the weed mapping process. The project thereby addresses the principal technical stumbling block to widespread adoption of site specific weed management (SSWM). The accuracy of weed identification by machine vision based on a single field survey may be inadequate to create herbicide application maps. We therefore propose to test the hypothesis that sufficiently accurate weed maps can be constructed by integrating information from geo-referenced images captured automatically at different times of the year during normal field activities. Accuracy of identification will also be increased by utilising a priori knowledge of weeds present in fields. To prove this concept, images will be captured from arable fields on two farms and processed offline to identify and map the weeds, focussing especially on black-grass, wild oats, barren brome, couch grass and cleavers. As advocated by Lutman et al. (2002), the approach uncouples the weed mapping and treatment processes and builds on the observation that patches of these weeds are quite stable in arable fields. There are three main aspects to the project. 1) Machine vision hardware. Hardware component parts of the system are one or more cameras connected to a single board computer (Concurrent Solutions LLC) and interfaced with an accurate Global Positioning System (GPS) supplied by Patchwork Technology. The camera(s) will take separate measurements for each of the three primary colours of visible light (red, green and blue) in each pixel. The basic proof of concept can be achieved in principle using a single camera system, but in practice systems with more than one camera may need to be installed so that larger fractions of each field can be photographed. Hardware will be reviewed regularly during the project in response to feedback from other work packages and updated as required. 2) Image capture and weed identification software. The machine vision system will be attached to toolbars of farm machinery so that images can be collected during different field operations. Images will be captured at different ground speeds, in different directions and at different crop growth stages as well as in different crop backgrounds. Having captured geo-referenced images in the field, image analysis software will be developed to identify weed species by Murray State and Reading Universities with advice from The Arable Group. A wide range of pattern recognition and in particular Bayesian Networks will be used to advance the state of the art in machine vision-based weed identification and mapping. Weed identification algorithms used by others are inadequate for this project as we intend to collect and correlate images collected at different growth stages. Plants grown for this purpose by Herbiseed will be used in the first instance. In addition, our image capture and analysis system will include plant characteristics such as leaf shape, size, vein structure, colour and textural pattern, some of which are not detectable by other machine vision systems or are omitted by their algorithms. Using such a list of features observable using our machine vision system, we will determine those that can be used to distinguish weed species of interest. 3) Weed mapping. Geo-referenced maps of weeds in arable fields (Reading University and Syngenta) will be produced with advice from The Arable Group and Patchwork Technology. Natural infestations will be mapped in the fields but we will also introduce specimen plants in pots to facilitate more rigorous system evaluation and testing. Manual weed maps of the same fields will be generated by Reading University, Syngenta and Peter Lutman so that the accuracy of automated mapping can be assessed. The principal hypothesis and concept to be tested is that by combining maps from several surveys, a weed map with acceptable accuracy for endusers can be produced. If the concept is proved and can be commercialised, systems could be retrofitted at low cost onto existing farm machinery. The outputs of the weed mapping software would then link with the precision farming options already built into many commercial sprayers, allowing their use for targeted, site-specific herbicide applications. Immediate economic benefits would, therefore, arise directly from reducing herbicide costs. SSWM will also reduce the overall pesticide load on the crop and so may reduce pesticide residues in food and drinking water, and reduce adverse impacts of pesticides on non-target species and beneficials. Farmers may even choose to leave unsprayed some non-injurious, environmentally-beneficial, low density weed infestations. These benefits fit very well with the anticipated legislation emerging in the new EU Thematic Strategy for Pesticides which will encourage more targeted use of pesticides and greater uptake of Integrated Crop (Pest) Management approaches, and also with the requirements of the Water Framework Directive to reduce levels of pesticides in water bodies. The greater precision of weed management offered by SSWM is therefore a key element in preparing arable farming systems for the future, where policy makers and consumers want to minimise pesticide use and the carbon footprint of farming while maintaining food production and security. The mapping technology could also be used on organic farms to identify areas of fields needing mechanical weed control thereby reducing both carbon footprints and also damage to crops by, for example, spring tines. Objective i. To develop a prototype machine vision system for automated image capture during agricultural field operations; ii. To prove the concept that images captured by the machine vision system over a series of field operations can be processed to identify and geo-reference specific weeds in the field; iii. To generate weed maps from the geo-referenced, weed plants/patches identified in objective (ii).