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.
Schoyen H.,Buskerud and Vestfold University College |
Brathen S.,Molde University College
Journal of Transport Geography | Year: 2011
The navigation distance via the Northern Sea Route (NSR) from a Northwest-European port to the Far East is approximately 40% shorter compared to the route via the Suez Canal. The shorter distance may facilitate more than a doubling of vessels' operational energy efficiency performance. There is at present substantial uncertainty in schedule reliability via the NSR. Unless the schedule reliability is improved, the NSR should primarily be explored for bulk rather than for liner shipping. A major disadvantage with the NSR is its seasonality. Shipping operations in the summer time via the NSR may already today be profitable for minor bulk trades. Additional shipping routes may give more flexibility, and the NSR route choice option may facilitate supply chain agility and adaptability. © 2011 Elsevier Ltd.
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.