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EN
Sustainable Development Goals (SDGs), proposed by the United Nations in 2015, give countries around the world much to work on until 2030. The third SDG – Good health and well-being – surely cannot be pursued in isolation. Far from being a silo, it has strong synergies with other SDGs, notably Gender Equality (SDG 5), No Poverty (SDG 1), Reduced Inequalities (SDG 10) & Clean water and sanitation (SDG 6). Quite counter-intuitively, it has trade-offs with SDG 12 (Responsible Consumption and Production). This is a commentary on these synergies and trade-offs, which looks at Good Health and Well-being as an overarching goal on any government’s agenda, impacting and being impacted, to different degrees, by the other goals.
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Content available remote Zgazowanie odpadów i synteza metanolu : analiza synergii procesów
PL
Przedstawiono wyniki symulacji zgazowywania paliw alternatywnych, odpadów oraz węgla kamiennego. Przedstawiono bilans masowy konwersji CO i syntezy metanolu oraz analizowano koszty jego produkcji bez uwzględnienia nakładów inwestycyjnych oraz eksploatacyjnych instalacji. Dla procesu zgazowania i syntezy metanolu wybrano spośród analizowanych paliw rozwiązanie najbardziej korzystne w aspekcie surowcowym. Część projektowa obejmowała symulację procesu dla paliw przeznaczonyc do zastosowania w instalacji syntezy metanolu wykorzystującej gaz syntezowy jako surowiec. Opracowano koncepcyjny projekt instalacji oraz wykonano dla niej bilans masowy.
EN
Compn. of post-reaction gases produced by gasification of several alternative fuels and hard coal and conversions of the gases to MeOH were simulated by the Gumz and Traustel method. Temp., pressure and the nature of the gasification agent were selected as variables. Based on the data and prices of the gasifying agents, the MeOH prodn. costs were calcd. and compared to est. the optimal manufg. cost.
EN
In view of such a complex phenomena as climate change not sufficient outcomes emerge from concentrating separately on mitigation or adaptation efforts, but rather it is their integration in a coherent policy and the subsequently planned actions that could increase effectiveness and efficiency as well as intensify the desired results. This working hypothesis is elaborated in the paper based on the case study of the city of Krakow in the Southern Poland. The aim of the paper is to identify the synergies and trade-offs from the climate mitigation and adaptation efforts planned within the climate, water and development sectors in Krakow. The scoping study of the policies and strategic documents was performed with that respect and the state-of-the-art literature was studied to capture the latest advancements in the climate mitigation and adaptation integration studies in order to develop the research method. The applied method was validated as relevant for integration of these aspects with the focus on the cities. The results show the landscape of the planned strategic actions towards mitigation and adaptation to climate change as well as synergies and trade-offs between the two. In the discussion the results are analysed in view of the identified performed studies of this type.
4
EN
Background: The proposal is to non-linear performance into account in terms of synergy when conducting DEA (Data Envelopment Analysis). The solution to the problem is produced for interacting schools, which can be regarded as business clusters. The inputs and outputs are selected by importance on the basis of the author's opinion. However, the technique does not change when taking into account other factors that are expressed numerically. Methods: The proposal is to reduce the number of the inputs and outputs to one input and one output using weighting factors. Thus a solution can be found by linear programming. The D EA algorithm is easily coded in Mathcad. Results: As a result, we obtain a vector of the effectiveness of each element in the business cluster, including stand-effective and super-efficient elements. Conclusions: A model of DEA is proposed which takes into account the scale and synergies of the business cluster. This allows a performance rating against the collective interaction to be obtained.
PL
Wstęp: Poddano analizie metodę nieliniową dla synergii przy zastosowaniu metody DEA (Data Envelopment Analysis). Rozwiązanie zostało zrealizowane dla współpracujących szkół, które mogą być traktowane, jako klastery biznesowe. Dane wejściowe i wyjściowe zostały wyselekcjonowane według ważności (w opinii autora). Aczkolwiek należy zaznaczyć, że metoda postępowania nie zmienia się przy analizie innych czynników, mogących być przedstawione w formie liczbowej. Metody: Zaproponowano redukcję liczby danych wejściowych i wyjściowych przy zastosowaniu współczynnika wagi. Następnie poszukano rozwiązania przy użyciu programowaniu liniowego. Algorytm DEA może być z łatwością zaimplementowany przy użyciu MATCAD. Wyniki: Otrzymano wektor efektywności każdego elementu klastera biznesowego, łącznie z elementami o stałej i bardo dużej efektywności. Wnioski: zaproponowano model DAE, uwzględniający skalę oraz synergię klastera biznesowego. Umożliwia to uszeregowanie zachowań wobec zbiorowych interakcji.
5
Content available Balancing Bilinearly Interfering Elements
EN
Many decisions in various fields of application have to take into account the joint effects of two elements that can interfere with each other. This happens, for example, in Medicine (synergic or antagonistic drugs), Agriculture (anti-cryptogamics), Public Economics (interfering economic policies), Industrial Economics (where the demand of an asset can be influenced by the supply of another asset), Zootechnics, and so on. When it is necessary to decide about the dosage of such elements, there is sometimes a primary interest for one effect rather than another; more precisely, it may be of interest that the effects of an element are in a certain proportion with respect to the effects of the other. It may also be necessary to take into account minimum quantities that must be assigned. In Carfì, Gambarelli and Uristani (2013), a mathematical model was proposed to solve the above problem in its exact form. In this paper, we present a solution in closed form for the case in which the function of the effects is bilinear.
6
EN
This paper presents empirical results on the functional performance of freight villages as supply chain interfaces. Moreover, it provides an overview of the current state of research on how freight villages contribute to an enhancement of supply chain performance. Databank research was conducted to review internationally published literature and existing research was evaluated based on relevant international contributions. Furthermore, a questionnaire was constructed to carry out an explorative study of freight villages in Germany. The functional performance of the investigated freight villages showed that there is a strong need to attach greater importance to the fulfilment of functions targeting on the streamlining of logistical processes within supply chains and the integration of value-adding services at supply chain interfaces. Results from this study provide insight into the potential performance of freight villages as supply chain interfaces. Therefore it is necessary to put intelligent multimodal transport chains into practice and to provide powerful logistical and value-adding services to achieve greater flexibility of adjustment to changing demand and a higher delivery service level. This paper contributes to the state of research by identifying a gap between the functional performance postulated in literature and the practical performance of freight villages. Moreover, it provides implications for closing this gap to implement high-performing interfaces within the supply chain.
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