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Fairness issues within food systems are of increasing concern for policy makers and other stakeholders. Given the topicality and policy relevance of fairness within food systems, there is value in exploring the subject further. Simulation modelling has been successfully used to develop and test policy interventions. However, the subjectivity and intangibleness of fairness perceptions make them difficult to operationalize in a quantitative model. The objective of this study is to facilitate research on fairness in food systems using simulation modelling by defining the social construct of fairness in model operational terms. The operationalization is conducted in two steps. First, the construct of fairness is conceptually defined in terms of its dimensions, antecedents, and consequences using the literature on interorganizational fairness. Then, by focusing specifically on fairness issues within food systems, the conceptual definition is used as a basis for the identification of proxy indicators of fairness. Seven groups of factors related to fairness perceptions were identified during the conceptualization phase: financial outcomes, operational outcomes, power, environmental stability, information sharing, relationship quality, and controls. From these factor groups, five indicators of fairness that are operational in a quantitative model were identified: profit margin as an indicator of distributive fairness and four indicators of procedural fairness related to market power and bargaining power.
Ingunn Gudbrandsdottir; Gudrun Olafsdottir; Gudmundur Oddsson; Hlynur Stefansson; Sigurdur Bogason. Operationalization of Interorganizational Fairness in Food Systems: From a Social Construct to Quantitative Indicators. Agriculture 2021, 11, 36 .
AMA StyleIngunn Gudbrandsdottir, Gudrun Olafsdottir, Gudmundur Oddsson, Hlynur Stefansson, Sigurdur Bogason. Operationalization of Interorganizational Fairness in Food Systems: From a Social Construct to Quantitative Indicators. Agriculture. 2021; 11 (1):36.
Chicago/Turabian StyleIngunn Gudbrandsdottir; Gudrun Olafsdottir; Gudmundur Oddsson; Hlynur Stefansson; Sigurdur Bogason. 2021. "Operationalization of Interorganizational Fairness in Food Systems: From a Social Construct to Quantitative Indicators." Agriculture 11, no. 1: 36.
Aquaculture intensity has been used for years as a means to gauge how much production a site makes using three terms: extensive, semi-intensive and intensive aquaculture production systems. The industry has a relatively coordinated understanding of these terms, but an explicit general definition does not seem to exist. This paper aims to use three kinds of production function groups; the input, treatment and output functions to describe and define the terms extensive, semi-intensive and intensive explicitly. This is done with extensive literature review to find the meaning of the terms. The terms are then mapped onto the three production function groups. The resulting framework accomplishes two things. Firstly, it defines extensive, semi-intensive and intensive aquaculture in terms of production functions. Secondly, it creates an eight level scale, the aquaculture production intensity scale (APIS), that provides three levels of extensive systems, two level of semi-intensive systems and three level of intensive systems. APIS allows mapping of all uses of the terms in current literature to an APIS score, though some results might differ from current usage.
Guðmundur Valur Oddsson. A Definition of Aquaculture Intensity Based on Production Functions—The Aquaculture Production Intensity Scale (APIS). Water 2020, 12, 765 .
AMA StyleGuðmundur Valur Oddsson. A Definition of Aquaculture Intensity Based on Production Functions—The Aquaculture Production Intensity Scale (APIS). Water. 2020; 12 (3):765.
Chicago/Turabian StyleGuðmundur Valur Oddsson. 2020. "A Definition of Aquaculture Intensity Based on Production Functions—The Aquaculture Production Intensity Scale (APIS)." Water 12, no. 3: 765.
In recent years, a need for product traceability in the cold supply chain has emerged. The purpose of this study was to identify and map out different kinds of identification technologies and techniques used for cold supply chain traceability. This was done by looking into what traceability solutions are available right now through literature review. The results from this review were then further analyzed to obtain a basis for the current state of knowledge, technical solutions and to identify possible traceability structures in the cold chain. A Decision Support Framework (DSF) was constructed for choosing a suitable technical solution. It consists of a table listing different functions and attributes of technologies and a decision-tree. The DSF created from this work will help the user to identify what kind of traceability technology and structure best suits his products. This is important, as it can often be difficult for the user to decide which technology is most beneficial for his company. That is why this decision support framework will enable him to decide what is technologically feasible, practical, economical, can sustain reputation, quality and safety of the products.
Kristín Óskarsdóttir; Guðmundur Valur Oddsson. Towards a decision support framework for technologies used in cold supply chain traceability. Journal of Food Engineering 2018, 240, 153 -159.
AMA StyleKristín Óskarsdóttir, Guðmundur Valur Oddsson. Towards a decision support framework for technologies used in cold supply chain traceability. Journal of Food Engineering. 2018; 240 ():153-159.
Chicago/Turabian StyleKristín Óskarsdóttir; Guðmundur Valur Oddsson. 2018. "Towards a decision support framework for technologies used in cold supply chain traceability." Journal of Food Engineering 240, no. : 153-159.
Heat pumps use the temperature difference between inside and outside areas to modify a refrigerant, either for heating or cooling. Doing so can lower the need for external heating energy for a household to some extent. The eventual impact depends on various factors, such as the external source for heating or cooling and the temperature difference. The use of heat pumps, and eventual benefits has not been studied in the context of subarctic areas, such as in Iceland. In Iceland, only remote areas do not have access to district heating from geothermal energy where households may, therefore, benefit from using heat pumps. It is the intent of this study to explore the observed benefits of using heat pumps in Iceland, both financially and energetically. This study further elaborates on incentives provided by the Icelandic government. Real data were gathered from the Icelandic energy authority for the analysis. It was found for the study database of 128 households that the annual electricity use was reduced from 37.8 to 26.7 kWh (an average 29.3% reduction) after installation of heat pumps. Large pumps (9.0–14.4 kW) and small pumps (5.0–9.0 kW) saved an average of 31.4 and 26.0% (95% confidence intervals), respectively. On average, households used approximately 26 MWh after installing a heat pump. When installing a small pump (5–9 kW), the mean annual saving (and 95% confidence intervals) was 10.6 (\({\pm }\)2.7) MWh (approximately 26%). However, when installing a larger pump, mean annual savings were 11.3 (\({\pm }\)1.6) MWh (Approximately 31%).
Reynir Smari Atlason; Gudmundur Valur Oddsson; Runar Unnthorsson. Heat pumps in subarctic areas: current status and benefits of use in Iceland. International Journal of Energy and Environmental Engineering 2017, 8, 283 -291.
AMA StyleReynir Smari Atlason, Gudmundur Valur Oddsson, Runar Unnthorsson. Heat pumps in subarctic areas: current status and benefits of use in Iceland. International Journal of Energy and Environmental Engineering. 2017; 8 (4):283-291.
Chicago/Turabian StyleReynir Smari Atlason; Gudmundur Valur Oddsson; Runar Unnthorsson. 2017. "Heat pumps in subarctic areas: current status and benefits of use in Iceland." International Journal of Energy and Environmental Engineering 8, no. 4: 283-291.
Low knowledge worker productivity is an important problem that needs to be addressed. Current research addressing this problem is fragmented and deals with different isolated elements of the problem. There is a need for a holistic approach to knowledge worker productivity. This paper takes the first steps of a holistic approach to knowledge worker productivity by using soft systems methodology to describe the problem situation. The main challenge of this research was the abstraction of the results from two literature reviews into simple rich pictures and specific root definitions to identify the fundamentals of knowledge worker productivity. The problem situation was explored from the perspective of two problem owners, the organization and the individual knowledge worker. The rich picture from the perspective of the organization highlighted that the organization must communicate what they perceive as value and create a work environment that promotes collaboration, encourages knowledge sharing, motivates and fulfills the needs of their knowledge workers. The rich picture from the perspective of the individual knowledge worker highlighted the fact that knowledge workers need to manage their personal resources, be effective and efficient to maximize their own productivity. This paper attempts to integrate these two perspectives into a holistic view.
Helga Guðrún Óskarsdóttir; Guðmundur Valur Oddsson. A Soft Systems Approach to Knowledge Worker Productivity—Analysis of the Problem Situation. Economies 2017, 5, 28 .
AMA StyleHelga Guðrún Óskarsdóttir, Guðmundur Valur Oddsson. A Soft Systems Approach to Knowledge Worker Productivity—Analysis of the Problem Situation. Economies. 2017; 5 (3):28.
Chicago/Turabian StyleHelga Guðrún Óskarsdóttir; Guðmundur Valur Oddsson. 2017. "A Soft Systems Approach to Knowledge Worker Productivity—Analysis of the Problem Situation." Economies 5, no. 3: 28.
Energy use in food production is linked to environmental impact, as most agricultural practices are reliant on fossil fuels. It is therefore of importance to locate food production methods that are less energy intensive than current methods and are also less polluting. Energy return on investment (EROI) is the ratio between the energy used to construct and maintain a given energy production system, against the energy that is provided by the system. Aquaponic systems have environmental benefits over conventional aquaculture systems as the waste is used within the system as fertilizer for plants. In this paper, we analyse the operational performance of three aquaponic systems. Two systems were located in Iceland, and one in northern Spain. We also analyse the energy output with respect to edible protein contents. After 10 years of partially simulated operation, the EROI of the Hondarribia, Sudarvogur and Akur systems was 0.055:1, 0.016:1 and 0.106:1, respectively. Our results indicate that aquaponic operations benefit from operating within a greenhouse and that direct electricity consumption is the largest energy input in the aquaponics systems. The aquaponics systems studied returned one half to one tenth the EROI as compared to conventional fisheries or aquaculture.
Reynir Smari Atlason; Ragnar Ingi Danner; Runar Unnthorsson; Guðmundur V. Oddsson; Fernando Sustaeta; Ragnheidur Thorarinsdottir. Energy Return on Investment for Aquaponics: Case Studies from Iceland and Spain. BioPhysical Economics and Resource Quality 2017, 2, 3 .
AMA StyleReynir Smari Atlason, Ragnar Ingi Danner, Runar Unnthorsson, Guðmundur V. Oddsson, Fernando Sustaeta, Ragnheidur Thorarinsdottir. Energy Return on Investment for Aquaponics: Case Studies from Iceland and Spain. BioPhysical Economics and Resource Quality. 2017; 2 (1):3.
Chicago/Turabian StyleReynir Smari Atlason; Ragnar Ingi Danner; Runar Unnthorsson; Guðmundur V. Oddsson; Fernando Sustaeta; Ragnheidur Thorarinsdottir. 2017. "Energy Return on Investment for Aquaponics: Case Studies from Iceland and Spain." BioPhysical Economics and Resource Quality 2, no. 1: 3.
Designing aquaculture production units will require decisions on which treatment to include, e.g., the intensification of the system, and then a decision on a technical solution for each treatment function selected to implement. To complicate matters, each technical solution is not unique to each treatment function, but has a multiple effect on the system. This interaction of a technical solution to multiple treatment functions will play a part in the decision making process. Previous work by the authors has made a taxonomy of all technical solutions for the treatment function, and in this article, how technical solutions affect treatment functions is mapped. The article views the aquaculture production system as a transformation process with three sets of functions, input, treatment and output. Based on a comprehensive literature review where all technical solutions were found and categorized into a taxonomy, their effect on treatment function was mapped using a quality function deployment (QFD). The result is a matrix that gives an evaluation on the interaction. This work is a step towards an aquaculture engineering design methodology.
Bjorgvin Vilbergsson; Gudmundur V. Oddsson; Runar Unnthorsson. Taxonomy of Means and Ends in Aquaculture Production—Part 4: The Mapping of Technical Solutions onto Multiple Treatment Functions. Water 2016, 8, 487 .
AMA StyleBjorgvin Vilbergsson, Gudmundur V. Oddsson, Runar Unnthorsson. Taxonomy of Means and Ends in Aquaculture Production—Part 4: The Mapping of Technical Solutions onto Multiple Treatment Functions. Water. 2016; 8 (11):487.
Chicago/Turabian StyleBjorgvin Vilbergsson; Gudmundur V. Oddsson; Runar Unnthorsson. 2016. "Taxonomy of Means and Ends in Aquaculture Production—Part 4: The Mapping of Technical Solutions onto Multiple Treatment Functions." Water 8, no. 11: 487.
This is the third part of the taxonomy of technical solutions and treatment functions in aquaculture. This article builds on the premiss that the aquaculture production system can be viewed as a transformation process with three sets of functions, input, treatment and output. This work creates an overview of all of the technical solutions of treatment functions for the purpose of both design and further research. This is done with a comprehensive literature review where all technical solutions are identified and then categorized into a taxonomy. The result is a visual taxonomy of the treatment functions controlling N compounds, organic matter, P compounds, metals, temperature and preventing disease. A total taxonomy is finally presented where the results from Part 2 and Part 3 (this part) have been combined.
Bjorgvin Vilbergsson; Gudmundur V. Oddsson; Runar Unnthorsson. Taxonomy of Means and Ends in Aquaculture Production—Part 3: The Technical Solutions of Controlling N Compounds, Organic Matter, P Compounds, Metals, Temperature and Preventing Disease. Water 2016, 8, 506 .
AMA StyleBjorgvin Vilbergsson, Gudmundur V. Oddsson, Runar Unnthorsson. Taxonomy of Means and Ends in Aquaculture Production—Part 3: The Technical Solutions of Controlling N Compounds, Organic Matter, P Compounds, Metals, Temperature and Preventing Disease. Water. 2016; 8 (11):506.
Chicago/Turabian StyleBjorgvin Vilbergsson; Gudmundur V. Oddsson; Runar Unnthorsson. 2016. "Taxonomy of Means and Ends in Aquaculture Production—Part 3: The Technical Solutions of Controlling N Compounds, Organic Matter, P Compounds, Metals, Temperature and Preventing Disease." Water 8, no. 11: 506.
In engineering design, knowing the relationship between the means (technique) and the end (desired function or outcome) is essential. The means in Aquaculture are technical solutions like airlifts that are used to achive desired functionality (an end) like controlling dissolved gasses. In previous work, the authors identified possible functions by viewing aquaculture production systems as transformation processes in which inputs are transformed by treatment techniques (means) and produce outputs (ends). The current work creates an overview of technical solutions of treatment functions for both design and research purposes. A comprehensive literature review of all areas of technical solutions is identified and categorized into a visual taxonomy of the treatment functions for controlling solids, controlling dissolved gasses and controlling pH alkalinity and hardness. This article is the second in a sequence of four and partly presents the treatments functions in the taxonomy. The other articles in this series present complementary aspects of this research: Part 1, A transformational view on aquaculture and functions divided into input, treatment and output functions; Part 2, The current taxonomy paper; Part 3, The second part of the taxonomy; and Part 4, Mapping of the means (techniques) for multiple treatment functions.
Bjorgvin Vilbergsson; Gudmundur V. Oddsson; Runar Unnthorsson. Taxonomy of Means and Ends in Aquaculture Production—Part 2: The Technical Solutions of Controlling Solids, Dissolved Gasses and pH. Water 2016, 8, 387 .
AMA StyleBjorgvin Vilbergsson, Gudmundur V. Oddsson, Runar Unnthorsson. Taxonomy of Means and Ends in Aquaculture Production—Part 2: The Technical Solutions of Controlling Solids, Dissolved Gasses and pH. Water. 2016; 8 (9):387.
Chicago/Turabian StyleBjorgvin Vilbergsson; Gudmundur V. Oddsson; Runar Unnthorsson. 2016. "Taxonomy of Means and Ends in Aquaculture Production—Part 2: The Technical Solutions of Controlling Solids, Dissolved Gasses and pH." Water 8, no. 9: 387.
The aquaculture sector has been increasing its share in the total fish production in the world. Numerous studies have been published about aquaculture, introducing a variety of techniques and methods that have been applied or could be applied in aquaculture production systems. The purpose of this study is to present a systemic overview of the functions of aquaculture production systems. Each function of an aquaculture system is applied to carry out a certain purpose. The results are divided into three sets of functions: input, treatment, and output. Input functions deal with what happens before the rearing area, treatment functions are about what happens inside the rearing area, and output functions is what comes out of the system. In this study, five input functions, ten treatment functions, and five output functions are indentified. For each function the controlling parameters or indicators were identified and then a list of possible methods or technological solutions in order to carry out the function was compiled. The results are presented in a system map that aggregates all functions used in different types of aquaculture systems along with their methods of solution. This is the first of four articles that together generate taxonomy of both means and ends in aquaculture. The aim is to identify both the technical solutions (means) that solve different functions (ends) and the corresponding functions. This article is about the functions.
Ragnheidur Bjornsdottir; Gudmundur Valur Oddsson; Ragnheidur I. Thorarinsdottir; Runar Unnthorsson. Taxonomy of Means and Ends in Aquaculture Production—Part 1: The Functions. Water 2016, 8, 319 .
AMA StyleRagnheidur Bjornsdottir, Gudmundur Valur Oddsson, Ragnheidur I. Thorarinsdottir, Runar Unnthorsson. Taxonomy of Means and Ends in Aquaculture Production—Part 1: The Functions. Water. 2016; 8 (8):319.
Chicago/Turabian StyleRagnheidur Bjornsdottir; Gudmundur Valur Oddsson; Ragnheidur I. Thorarinsdottir; Runar Unnthorsson. 2016. "Taxonomy of Means and Ends in Aquaculture Production—Part 1: The Functions." Water 8, no. 8: 319.
A novel Monte Carlo (MC) approach is proposed for the simulation of wind speed samples to assess the wind energy production potential of a site. The Monte Carlo approach is based on historical wind speed data and reserves the effect of autocorrelation and seasonality in wind speed observations. No distributional assumptions are made, and this approach is relatively simple in comparison to simulation methods that aim at including the autocorrelation and seasonal effects. Annual energy production (AEP) is simulated by transforming the simulated wind speed values via the power curve of the wind turbine at the site. The proposed Monte Carlo approach is generic and is applicable for all sites provided that a sufficient amount of wind speed data and information on the power curve are available. The simulated AEP values based on the Monte Carlo approach are compared to both actual AEP and to simulated AEP values based on a modified Weibull approach for wind speed simulation using data from the Burfell site in Iceland. The comparison reveals that the simulated AEP values based on the proposed Monte Carlo approach have a distribution that is in close agreement with actual AEP from two test wind turbines at the Burfell site, while the simulated AEP of the Weibull approach is such that the P50 and the scale are substantially lower and the P90 is higher. Thus, the Weibull approach yields AEP that is not in line with the actual variability in AEP, while the Monte Carlo approach gives a realistic estimate of the distribution of AEP.
Birgir Hrafnkelsson; Gudmundur V. Oddsson; Runar Unnthorsson. A Method for Estimating Annual Energy Production Using Monte Carlo Wind Speed Simulation. Energies 2016, 9, 286 .
AMA StyleBirgir Hrafnkelsson, Gudmundur V. Oddsson, Runar Unnthorsson. A Method for Estimating Annual Energy Production Using Monte Carlo Wind Speed Simulation. Energies. 2016; 9 (4):286.
Chicago/Turabian StyleBirgir Hrafnkelsson; Gudmundur V. Oddsson; Runar Unnthorsson. 2016. "A Method for Estimating Annual Energy Production Using Monte Carlo Wind Speed Simulation." Energies 9, no. 4: 286.
Wind energy harnessing is a new energy production alternative in Iceland. Current installed wind power in Iceland sums to 1.8 MW, which in contrast is 0.1% of the country’s total electricity production. This article is dedicated to the exploration of the potential cost of wind energy production at Búrfell in the south of Iceland. A levelized cost of energy (LCOE) approach was applied to the estimation of the potential cost. Weibull simulation is used to simulate wind data for calculations. A confirmation of the power law is done by comparing real data to calculated values. A modified Weibull simulation is verified by comparing results with actual on-site test wind turbines. A wind farm of 99MWis suggested for the site. Key results were the capacity factor (CF) at Búrfell being 38.15% on average and that the LCOE for wind energy was estimated as 0.087–0.088 USD/kWh (assuming 10% weighted average cost of capital (WACC)), which classifies Búrfell among the lowest LCOE sites for wind energy in Europe.
Birgir Freyr Ragnarsson; Gudmundur V. Oddsson; Runar Unnthorsson; Birgir Hrafnkelsson. Levelized Cost of Energy Analysis of a Wind Power Generation System at Búrfell in Iceland. Energies 2015, 8, 9464 -9485.
AMA StyleBirgir Freyr Ragnarsson, Gudmundur V. Oddsson, Runar Unnthorsson, Birgir Hrafnkelsson. Levelized Cost of Energy Analysis of a Wind Power Generation System at Búrfell in Iceland. Energies. 2015; 8 (9):9464-9485.
Chicago/Turabian StyleBirgir Freyr Ragnarsson; Gudmundur V. Oddsson; Runar Unnthorsson; Birgir Hrafnkelsson. 2015. "Levelized Cost of Energy Analysis of a Wind Power Generation System at Búrfell in Iceland." Energies 8, no. 9: 9464-9485.
R.S. Atlason; Runar Unnthorsson; Gudmundur V. Oddsson. Innovation and development in geothermal turbine maintenance based on Icelandic experience. Geothermics 2015, 56, 72 -78.
AMA StyleR.S. Atlason, Runar Unnthorsson, Gudmundur V. Oddsson. Innovation and development in geothermal turbine maintenance based on Icelandic experience. Geothermics. 2015; 56 ():72-78.
Chicago/Turabian StyleR.S. Atlason; Runar Unnthorsson; Gudmundur V. Oddsson. 2015. "Innovation and development in geothermal turbine maintenance based on Icelandic experience." Geothermics 56, no. : 72-78.
As renewable energy sectors evolve and grow within a country, the need for expertise to maintain its infrastructure grows. Such expertise is often provided by foreign industries. It is in the global interest to facilitate expertise to grow domestically, eventually leading to widespread clusters of industries around a renewable energy sector and a global growth of expertise. This ultimately fast tracks the development in the renewable energy sector since more players become active in developing solutions. In this article the factors influencing domestic development are identified from previous studies conducted within the Icelandic geothermal sector. The cause and effect relationships between the identified factors are then mapped. A system dynamics causal loop diagram based on Icelandic case studies is presented to visualise how the formation of industrial clusters in the renewable energy sector can be initiated. This visualisation, based on the Icelandic geothermal sector, can be of use for other industries in the renewable energy sector who are attempting to conduct their maintenance procedures domestically and increase the rate of innovation within a country.
Reynir Smari Atlason; Gudmundur Valur Oddsson; Runar Unnthorsson. Theorizing for Maintenance Management Improvements: Using Case Studies from the Icelandic Geothermal Sector. Energies 2015, 8, 4943 -4962.
AMA StyleReynir Smari Atlason, Gudmundur Valur Oddsson, Runar Unnthorsson. Theorizing for Maintenance Management Improvements: Using Case Studies from the Icelandic Geothermal Sector. Energies. 2015; 8 (6):4943-4962.
Chicago/Turabian StyleReynir Smari Atlason; Gudmundur Valur Oddsson; Runar Unnthorsson. 2015. "Theorizing for Maintenance Management Improvements: Using Case Studies from the Icelandic Geothermal Sector." Energies 8, no. 6: 4943-4962.
A quantitative Kano model is used in this study to identify which features are preferred by top-level maintenance engineers within Icelandic geothermal power plants to be implemented in a maintenance tool or software. Visits were conducted to the largest Icelandic energy companies operating geothermal power plants. Thorough interviews with chiefs of operations and maintenance were used as a basis for a quantitative Kano analysis. Thirty seven percent of all maintenance engineers at Reykjavik Energy and Landsvirkjun, responsible for 71.5% of the total energy production from geothermal resources in Iceland, answered the Kano questionnaire. Findings show that solutions focusing on (1) planning maintenance according to condition; (2) shortening documentation times; and (3) risk analysis are sought after by the energy companies but not provided for the geothermal sector specifically.
Reynir S. Atlason; Gudmundur V. Oddsson; Runar Unnthorsson. Geothermal Power Plant Maintenance: Evaluating Maintenance System Needs Using Quantitative Kano Analysis. Energies 2014, 7, 4169 -4184.
AMA StyleReynir S. Atlason, Gudmundur V. Oddsson, Runar Unnthorsson. Geothermal Power Plant Maintenance: Evaluating Maintenance System Needs Using Quantitative Kano Analysis. Energies. 2014; 7 (7):4169-4184.
Chicago/Turabian StyleReynir S. Atlason; Gudmundur V. Oddsson; Runar Unnthorsson. 2014. "Geothermal Power Plant Maintenance: Evaluating Maintenance System Needs Using Quantitative Kano Analysis." Energies 7, no. 7: 4169-4184.
This paper presents a reference framework for the configuration process. The reference framework is established through an extensive review of existing literature, and as such consolidates an extensive theoretical base. The review of literature shows a broadening of the understanding of the configuration task. The definition of the configuration task is somewhat ambiguous because different research groups define configuration tasks differently. This paper proposes a reference framework for configuration that permits a more precise understanding of a configuration task, a definition of the basic concepts in product configuration, and a total configuration system view that describes how operators come together to perform the configuration task in the configuration process. We will define the product, the product model, the configuration task, and the configuration system, and put the whole thing into perspective with the theory of technical systems, where we describe the configuration process and the different abstraction level of configurations. We will also use our resulting framework to describe sales configuration, technical configuration, and reconfiguration. We do this to synthesize previous work, to clarify and make coherent definitions of relevant terms, to extent the definition of product configuration to include “softer” products like information and service, and finally, to give a comparative framework to analyze work done in the field of product configuration. The total configuration system, together with the definition of key concepts, comprises a strong reference framework when working with, developing, and analyzing configuration systems.
Guðmundur V. Oddsson; Klaes R. Ladeby. From a literature review of product configuration definitions to a reference framework. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 2014, 28, 413 -428.
AMA StyleGuðmundur V. Oddsson, Klaes R. Ladeby. From a literature review of product configuration definitions to a reference framework. Artificial Intelligence for Engineering Design, Analysis and Manufacturing. 2014; 28 (4):413-428.
Chicago/Turabian StyleGuðmundur V. Oddsson; Klaes R. Ladeby. 2014. "From a literature review of product configuration definitions to a reference framework." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 28, no. 4: 413-428.