Assessment Approach

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Anton Framberg - One of the best experts on this subject based on the ideXlab platform.

  • carp cyprinidae fisheries in swedish lakes a combined environmental Assessment Approach to evaluate data limited freshwater fish resources as food
    Environmental Management, 2020
    Co-Authors: Sara Hornborg, Anton Framberg
    Abstract:

    The role of aquatic resources to food security is both promising and constrained since the global seafood consumption is increasing while marine fisheries Approach the limit of what it can produce. In Sweden, the seafood consumption per capita is higher than the European and world average but the current dietary advice is to increase consumption. Freshwater fisheries have in general been paid less attention in food security discussions. Carp fishes (Cyprinidae) in Sweden have lost their historical value and are currently, both understudied and underutilized. Here we use a combined environmental Assessment Approach to examine the environmental sustainability of current and potential cyprinid fisheries. We found that current commercial fisheries for Swedish cyprinids in lakes have an average carbon footprint of 0.77 kg CO2e per kg of edible product, substantially smaller than most of the popular marine and terrestrial protein sources consumed in Sweden today. This could be even lower if cyprinid resources were better utilized than currently. The cyprinids however exhibited different vulnerability to fishing pressure and are today associated with data deficiencies. Hence, it is currently uncertain how much food for human consumption they can contribute to. Improved consumer interest and management attention is needed, but to the Swedish diet, cyprinids offer a promising opportunity for future more sustainable and nutritious food systems.

Eelco De Jong - One of the best experts on this subject based on the ideXlab platform.

  • a group risk Assessment Approach for the selection of pharmaceutical product shipping lanes
    International Journal of Production Economics, 2020
    Co-Authors: Shahrzad Faghihroohi, Alp Akcay, Yingqian Zhang, Ehsan Shekarian, Eelco De Jong
    Abstract:

    Abstract This paper provides a risk Assessment framework to select shipping lanes for pharmaceutical products. The main categories of risks are determined through an algorithm based on yes/no decisions. Then, according to the risk categories, a Failure Mode and Effects Analysis (FMEA) table is proposed for risk Assessment of pharmaceutical product shipments and logistics. The evaluations are based on Intuitionistic Fuzzy Numbers (IFNs) to be able to account for the uncertainty in the experts’ judgments. By using an intuitionistic fuzzy hybrid TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) Approach, the evaluated risks of each shipment lane can be scored and prioritized. The proposed TOPSIS-based FMEA Approach in the intuitionistic fuzzy environment provides an opportunity to aggregate the risk Assessments of different experts in a practically efficient way. Different from the earlier literature, we address risk identification and risk Assessment under uncertainty as the two key challenges in group decision making. Our method further provides a framework that integrates the categorization and evaluation of risks with subsequent decision making. A case study of shipping lane selection in the context of air cargo distribution of pharmaceutical products demonstrates a potential implementation of the proposed Approach.

Sara Hornborg - One of the best experts on this subject based on the ideXlab platform.

  • carp cyprinidae fisheries in swedish lakes a combined environmental Assessment Approach to evaluate data limited freshwater fish resources as food
    Environmental Management, 2020
    Co-Authors: Sara Hornborg, Anton Framberg
    Abstract:

    The role of aquatic resources to food security is both promising and constrained since the global seafood consumption is increasing while marine fisheries Approach the limit of what it can produce. In Sweden, the seafood consumption per capita is higher than the European and world average but the current dietary advice is to increase consumption. Freshwater fisheries have in general been paid less attention in food security discussions. Carp fishes (Cyprinidae) in Sweden have lost their historical value and are currently, both understudied and underutilized. Here we use a combined environmental Assessment Approach to examine the environmental sustainability of current and potential cyprinid fisheries. We found that current commercial fisheries for Swedish cyprinids in lakes have an average carbon footprint of 0.77 kg CO2e per kg of edible product, substantially smaller than most of the popular marine and terrestrial protein sources consumed in Sweden today. This could be even lower if cyprinid resources were better utilized than currently. The cyprinids however exhibited different vulnerability to fishing pressure and are today associated with data deficiencies. Hence, it is currently uncertain how much food for human consumption they can contribute to. Improved consumer interest and management attention is needed, but to the Swedish diet, cyprinids offer a promising opportunity for future more sustainable and nutritious food systems.

Shahrzad Faghihroohi - One of the best experts on this subject based on the ideXlab platform.

  • a group risk Assessment Approach for the selection of pharmaceutical product shipping lanes
    International Journal of Production Economics, 2020
    Co-Authors: Shahrzad Faghihroohi, Alp Akcay, Yingqian Zhang, Ehsan Shekarian, Eelco De Jong
    Abstract:

    Abstract This paper provides a risk Assessment framework to select shipping lanes for pharmaceutical products. The main categories of risks are determined through an algorithm based on yes/no decisions. Then, according to the risk categories, a Failure Mode and Effects Analysis (FMEA) table is proposed for risk Assessment of pharmaceutical product shipments and logistics. The evaluations are based on Intuitionistic Fuzzy Numbers (IFNs) to be able to account for the uncertainty in the experts’ judgments. By using an intuitionistic fuzzy hybrid TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) Approach, the evaluated risks of each shipment lane can be scored and prioritized. The proposed TOPSIS-based FMEA Approach in the intuitionistic fuzzy environment provides an opportunity to aggregate the risk Assessments of different experts in a practically efficient way. Different from the earlier literature, we address risk identification and risk Assessment under uncertainty as the two key challenges in group decision making. Our method further provides a framework that integrates the categorization and evaluation of risks with subsequent decision making. A case study of shipping lane selection in the context of air cargo distribution of pharmaceutical products demonstrates a potential implementation of the proposed Approach.

Sabine Knapp - One of the best experts on this subject based on the ideXlab platform.

  • a multi layered risk exposure Assessment Approach for the shipping industry
    Transportation Research Part A-policy and Practice, 2015
    Co-Authors: Stephen Vander Hoorn, Sabine Knapp
    Abstract:

    Maritime administration and coastal states have become more aware of the need to enhance risk mitigation strategies primarily due to increased worldwide shipping activities, changing safety qualities of the world fleet and limited resources to deploy mitigation strategies. This paper introduces an innovative multi-layered framework to assess, predict and mitigate potential harm. The proposed Approach addresses known restrictions of risk Assessments in shipping. These restrictions are the lack of scalability to apply risk Assessments over large areas using an automated routine, the absence of recognizing that the world fleet is heterogeneous, the lack of integrating location specific environmental conditions such as wind, currents or waves and most importantly, the lack of recognizing the uncertainties associated with each factor especially for predictions. The proposed framework is based on the idea of integrating various layers representing the most important factors that can influence risk in order to estimate and predict risk exposure for a given area. As proof of concept of the underlying ideas, the outcome of a pilot project with the Australian Maritime Safety Authority is presented which demonstrates the integration of the first two layers and is based on a unique and comprehensive combination of data. The results of selected endpoints of risk exposure compare well with observations. The article also discusses the integration of the remaining layers including the recognition and addition of uncertainties in the future.

  • a multi layered risk exposure Assessment Approach for the shipping industry
    Econometric Institute Research Papers, 2014
    Co-Authors: Stephen Vander Hoorn, Sabine Knapp
    Abstract:

    __Abstract__ Shipping activity has increased worldwide and maritime administrations are trying to enhance risk mitigation strategies by using proactive Approaches. We present and discuss a conceptual framework to minimize potential harm based on a multi-layered Approach which can be implemented in either real time for operational purposes or in prediction mode for medium or longer term strategic planning purposes. We introduce the concept of total risk exposure which integrates risk at the individual ship level with vessel traffic densities and location specific parameters such as weather and oceanographic conditions, geographical features or environmental sensitivities. A comprehensive and robust method to estimate and predict risk exposure can be beneficial to maritime administrations to enhance mitigation strategies and understand uncertainties. We further provide a proof of concept based on 53 million observations of vessel positions and individual risk profiles of 8,900 individual ships. We present examples on how endpoints can be visualized for two integrated risk layers – ship specific risk and vessel traffic densities. We further identify and discuss uncertainties and present our ideas on how other risk layers could be integrated in the future.