Molde University College - Specialized University in Logistics is a Norwegian specialized university. It is located in the town of Molde in Molde Municipality, Møre og Romsdal county, Norway. The university offers higher education in business administration, logistics, information technology, and health science.Degrees are offered both at Bachelor, Master of Science, and PhD level. The institution belonged to the university colleges until 1 January 2010, when it received its new status as a specialized university in logistics. It is one of nine specialized universities in the Norwegian higher education system. The main campus is in Molde, but some study programs are offered in Kristiansund and Ålesund. Located at the campus in Molde is also Molde Research Institute. Wikipedia.
Bakhrankova K.,Molde University College
Industrial Management and Data Systems | Year: 2010
Purpose - The purpose of this paper is to develop energy optimizer (ENEO) - a model-based decision support system (DSS) for an existing European chemical plant with a multi-stage continuous production process. The system comprises two modules - energy cost minimization and joined energy cost minimization and output maximization. Following the description of the researched production, the paper presents a gist of the underlying formulations. Then, it tests the DSS on real data instances with a focus on its configuration, practical implications and implementation challenges. Design/methodology/approach - The design of the planning tool is consistent with that of the model-based DSS and based on the existing information systems. The defined research problems are explored with the use of quantitative methods - the operations research methodology. Findings - The findings show that ENEO reflects the essence of the researched production process and can provide benefits in practical business operations. Research limitations/implications - Both the proposed system configuration and the formulated models lay a foundation to further research within the described industrial setting. Practical implications - The system can be utilized in daily operations to provide substantial cost savings, improved capacity utilization and reactivity. Originality/value - This paper contributes to research by bridging the gap between theory and practice. On the one hand, it describes an unexplored problem and its subsequent solution embodied in the DSS. On the other hand, it emphasizes the importance of applying the operations research methodology to the real-world issues. Therefore, this work is valuable to both academics and practitioners. © Emerald Group Publishing Limited.
Solibakke P.B.,Molde University College
Aquaculture Economics and Management | Year: 2012
This article applies the General Scientific Model methodology of Gallant and McCulloch implementing MCMC simulation methodologies to build a multifactor stochastic volatility model for the mean and latent volatility for the Fish Pool front month salmon market. Stochastic volatility is the main way time-varying volatility is modeled in financial markets. Our main objective is therefore to structure a scientific model specifying volatility as having its own stochastic process. Appropriate model descriptions broaden the applications into derivative pricing purposes, risk assessment and asset allocation. The article reports risk and portfolio measures, conditional one-step-ahead moments, particle filtering for one-step-ahead conditional volatility, conditional variance functions for evaluation of shocks, analysis of multi-step-ahead dynamics, and conditional persistence. The analysis adds market insight and enables forecasts to be made, thus building up methodologies for developing valid scientific models for commodity market applications. © 2012 Copyright Taylor and Francis Group, LLC.
Engelseth P.,Molde University College
International Journal of Production Economics | Year: 2016
This study considers the alignment of commodity-like goods in seafood networks by analysing the exchange economy embedded in a set of sequentially interdependent markets. A case study in seafood production is analysed from an end-to-end perspective in the flow of seafood from Norway to Japan to investigate how practitioners describe trading and the terminology used on trading embedded across the complete supply network. Four subcases that focus on how goods are traded are studied. Two subcases consider raw material supply, aquaculture-supplied salmon and wild-caught pelagic fish. The third subcase concerns the export of frozen mackerel to Japan, and the final subcase concerns seafood trading at a regional wholesale market in Japan. Analysis is based on the view that in supply an exchange (management) economy is distinct from a production (value-creation) economy, and these economies are interdependent. The fundamental importance of sequential interdependencies in seafood production is demonstrated. The four subcases are first analysed individually, applying relational contracting theory to understand patterns of exchange leading to transfer of title at markets. Developed relationships and trust, but also an acceptance of partner switching, characterizes exchange in all four market-related subcases. An understanding of how these loosely coupled markets may be viewed as aligned is developed. Markets emerge as nodes in the supply network with complex patterns of exchange facilitated by well-developed business relationships where a common norm is acceptance of disloyalty not impeding trust. These norms of exchange facilitate agile seafood distribution. © 2015 Elsevier B.V. All rights reserved.
Hjelle H.M.,Molde University College
Maritime Policy and Management | Year: 2011
Maritime transport is regarded the most environmentally friendly mode of transport in many policy papers and has received a lot of government support for moving cargo transports from road to sea. Most assessments of energy use and related carbon emissions in mode-choice settings have been based on energy use per deadweight tonnage figures for the maritime modes; thus, giving a very favourable picture for the sea-based alternatives. Whereas this may be relevant for bulk shipping, the situation is quite different for Ro-Ro shipping-which is the most relevant alternative for intra-continental transports. Through representation of a number of realistic intra-European multi-modal trade links, with different mixes of modes of transport-energy use and emissions from these various chains are presented. The outcome of this case study is not very favourable for the maritime transport alternatives. This could partly be attributed to the very different regulatory environments these sectors have been subject to, and partly to 'the double load factor problem' of Ro-Ro shipping. Half-full trailers on half-full decks may very well jeopardize the comparative advantage of maritime transport alternatives. © 2011 Taylor & Francis.
Halpern N.,Molde University College
Journal of Air Transport Management | Year: 2010
This paper investigates sources, capabilities and consequences of marketing innovation at airports in Europe's peripheral areas. A questionnaire-based survey was administered to airport managers. Ten sources of airport marketing innovation are identified. Innovation is significantly higher at airports that are administered as an independent entity compared to airports that are administered as part of a regional or national airport system. Large airports have a significantly higher level of innovation compared to small airports. Innovation has a significant positive effect on airport marketing performance, irrespective of the strategic focus of the airport. © 2009 Elsevier Ltd. All rights reserved.
Agency: Cordis | Branch: H2020 | Program: MSCA-RISE | Phase: MSCA-RISE-2016 | Award Amount: 445.50K | Year: 2017
Effective collaboration between mental health (MHS) and correctional services (CS) impacts on mental illness and reduces reoffending rates. Service leaders have indicated a need for more effective models of collaboration. Researchers have identified the Change Laboratory Model (CLM) of workplace transformation as a more effective means of supporting interagency collaborative practice than current integration tools. It provides a way to optimise the effectiveness of mental healthcare provision to offenders through a model that fosters innovation and collaborative processes. However, the change laboratory, highly successful internationally and in other clinical contexts, is a new idea in prison development, none as yet being applied to the challenges facing the MHS and CS. The wickedness, complexity and unpredictability of challenges facing interagency working in these secure environments means that piloting the CLM is premature and it must first be adapted to the MHS/CS context. The aim of this study is to validate the change laboratory model ready for implementation in practice. This RISE application builds a community of practice that enriches international research capacity and cooperation to achieve this aim. It brings academic knowledge of the Change Laboratory model to the market of interagency practices between mental health and correctional services for the development of innovation and the advancement of integrated service provision to mentally ill offenders. Knowledge exchange takes place through secondments, interactive workshops, the development of workforce training programmes, study tours, shadowing opportunities and ethnographic research. Through this knowledge exchange, the consortium delivers a user-informed prototype of change laboratory model ready for implementation in the MHS and CS field. This validated change laboratory model, offers the ERA a clear strategy with which to promote integrated care for mentally ill offenders.
Agency: Cordis | Branch: FP7 | Program: CP | Phase: SST.2010.6-2. | Award Amount: 2.05M | Year: 2011
The Communitys maritime sector must sustain and improve its competitive advantage, with the groundwork for future international competitiveness resting with high quality and innovative education and training. Employees in the maritime transport sector need innovative educational opportunities that focus on their special working conditions. The KNow-ME project addresses this need by engendering a modern image of shipping which attracts young people to maritime careers at sea and ashore and instils an awareness of the industry as a driver of EU development and an attractive employer. This can only be achieved though critical dialogue with industry on potential future developments, current and future strengths and weaknesses, and the support required to ensure a forward thinking sustainable industry. The KNow-ME consortium argues that maritime training and education requires a life-cycle approach, where demand-oriented transnational e-courses and supporting material are developed in line with industry expectations and modern lifestyles. Enhanced education and training for the industrys professions must cater for a multicultural working environment, gender neutrality and maximum accessibility independent from time and space. A modern image, career management and e-training and education will be promoted by establishing an e-portal that integrates with other e-maritime initiative developments. Implementation of the proposed education and training strategies require the support of both industry and proactive national and regional policy and practices that enhance the transparency, transferability and compatibility of training and educations standards. The KNow-ME project will establish a network of excellence in Europe, integrating experience from leading maritime research institutions. The pilot applications of e-courses developed within KNow-ME will allow for CPD, with the outcomes expected to contribute to improved living and working conditions on board vessels.
Odeck J.,Molde University College |
Brathen S.,Molde University College
Transportation Research Part A: Policy and Practice | Year: 2012
This paper presents a meta-analysis of variations in seaports' Mean Technical Efficiency (MTE) scores based on 40 studies published in refereed academic journals. We link the variation in estimated MTE scores to differences in the following factors: the frontier methodology used, which essentially are the Data Envelopment Analysis (DEA) and the Stochastic Frontier Analysis (SFA); regions where seaports are situated; type of data used; number of observations; and the total number of variables used. Furthermore, we compare fixed-effects against a random-effects regression model where the latter assumes that the individual study specific characteristics matter while the former assumes that there is one general tendency across all studies. We present several findings based on the data: (1) the random-effects model outperforms the fixed effects model in explaining the variations in MTEs, (2) recently published studies have lower MTE scores as compared with earlier published studies, (3) studies that used nonparametric DEA models depict higher MTE scores as compared with those that used SFA models, (4) panel data studies have lower TE scores as compared with cross-sectional data, and (5) studies using European seaport data produce lower MTE scores when compared with the rest of the world. Finally, our results contradict some previous meta-analysis studies of TE scores. We encourage the use of random-effects models in meta-analysis studies because they account for individual study specific effects. © 2012 Elsevier Ltd.
Agency: Cordis | Branch: FP7 | Program: MC-IRSES | Phase: FP7-PEOPLE-2013-IRSES | Award Amount: 592.20K | Year: 2013
The overall aim of this proposed exchange programme ENRICH is to bring together an international team of researchers to establish a research network, with a wide variety of skills in operations research, safety and security studies, green logistics, economic modelling, ICT, and intermodal management to develop a container supply chain (CSC) integration methodology, aimed at addressing long-lasting changes in operational, environmental, economic, technical and managerial practices in different segments of the rail, road, air and sea transport industries from an overall supply chain perspective. The network is a physical and virtual grouping of academics and researchers designed to create an interdisciplinary think-tank and knowledge exchange platform for enhancing CSC resilience and sustainability in todays and tomorrows operational environments, in which a high level of uncertainty exists due to economic crisis, security risks, climate change, and every changing technologies. The proposal is for a project of eight partners (5 EU members, 1 AC member and 2 Third Country members) with extensive exchange of both experienced researchers (ERs) and early stage researchers (ESRs) during four years to fully explore the complementary strengths and synergies within the consortium. This project will support and reinforce the collaborations amongst the participants and help establish a long-term research co-operation. The research will increase the European research capacity in this vital and rapidly developing container transportation field, and also maintain and enhance the EUs leading position in the areas of supply chain resilience and sustainability. Moreover, the interdisciplinary nature of the proposed exchange programme offers a link for research and training of the involved ERs and ESRs in a collaborative academic environment.
Singh J.P.,University of South Florida |
Singh J.P.,Molde University College
Behavioral Sciences and the Law | Year: 2013
The predictive validity of violence risk assessments can be divided into two components: calibration and discrimination. The most common performance indicator used to measure the predictive validity of structured risk assessments, the area under the receiver operating characteristic curve (AUC), measures the latter component but not the former. As it does not capture how well a risk assessment tool's predictions of risk agree with actual observed risk, the AUC provides an incomplete portrayal of predictive validity. This primer provides an overview of calibration and discrimination performance indicators that measure global performance, performance in identifying higher-risk groups, and performance in identifying lower-risk groups. It is recommended that future research into the predictive validity of violence risk assessment tools includes a number of performance indicators that measure different facets of predictive validity and that the limitations of reported indicators be routinely explicated. © 2013 John Wiley & Sons, Ltd.