SIMULATED ANNEALING AND BOLTZMANN MACHINES A Stochastic Approach to Combinatorial Optimization and Neural Computing

The paper analyses the linkages between GDP per capita, greenhouse gas (GHG) emissions, and renewable energy (RE) in the total final energy consumption and green investments (PICE) which are measured as private investments, jobs, and gross value added related to circular economy sectors. The object of the analysis is the EU countries during the 2008-2016 period (crisis and post-crisis period). In the paper, data from the following databases was used: the Eurostat, the World Data Bank, and the European Environmental Agency. For addressing the linkages between the aforementioned indicators, the following methods were applied: panel unit root test, Pedroni panel cointegration tests, and the fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) panel cointegration techniques. The findings show that FMOLS and DOLS demonstrate the same results as GHG, PICE, RE influence on GDP of the EU countries. The findings prove there is linking between gross domestic product per capita, greenhouse gas emissions, renewable energy in the total final energy consumption and green investments. The findings also show that green investment (PICE) could provoke the growth of GDP per capita by 6.4%, the decline of GHG by 3.08%, and the increase of renewable energy in the total final energy consumption by 5.6%.

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Assessment of Green Investments’ Impact on Sustainable Development: Linking Gross Domestic Product Per Capita, Greenhouse Gas Emissions and Renewable Energy

In this paper we describe a decision support system for capacity planning of container terminals. Typical elements of a container terminal are a quay, cranes,a stack yard and trucks for transport of containers between the quay and the stack yard and vice versa. For each of these elements we can devise models to describe the performance. The decision support system combined a heuristic analysis of these models to a global model to study the interaction between the elements of a container terminal.

Decision support system for container terminal planning

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Strata, Structure, and Strategy for Resource Allocation and New Product Development Portfolio Management

Deep learning-based crop mapping in the cloudy season using one-shot hyperspectral satellite imagery

1. Introduction Sustainable Development is best defined in a report generated by the United Nations World Commission on Environment and Development of 1987, also known as the Brundtland Commission. The commission defined sustainable development as "a process of change in which the exploitation of resources, the direction of investments, the orientation of technological development, and institutional change are all in harmony and enhance both current and future potential to meet human needs and aspirations. Sustainable development meets the needs of compromising the ability of future generations to meet their own needs". As is obvious, a sustainable approach is not mere growth at any cost, because growth at any cost is not sustainable. Responsible growth is needed to sustain the coming improvements in human welfare--in consumption, in health, in human skills, and in social equity (World Bank 2004). As concerns about environmental protection, natural resource stewardship, and the world's ability to feed its ever-growing population continue to mount, the sustainability of agriculture and natural resources is emerging as a central theme among the public and policymakers alike (Board on Agriculture Staff 1991). Accordingly, there is a growing demand for ecological informatics in business systems processes, including industrial, logistical, and supply chain systems; this is also the aim of the corporate sustainability reporting. Though informatics is rather new in the field of ecological science, representing a computational approach to ecosystems analysis, synthesis, and forecasting, it provides a wide range of methods to support ecological investigations (Recknagel 2003). Social, ecological, and economical dimensions have been the three keys to sustainable development, as illustrated in Figure 1. [FIGURE 1 OMITTED] 1. 1. Sustainable development Sustainable development has evolved over the past two decades as a new way of approaching the environment and its relationship to everything else we care about as a society (Dernbach 2001). It is a dynamic process of change in which the exploitation of resources, the direction of investments, the orientation of technological development, and institutional change are made consistent with future as well as present needs (Rogers et al. 2007). The concept of sustainability explores the relationships among economic development, environmental quality, and social equity. This concept has been evolving since 1972, when the international community first explored the connection between quality of life and environmental quality at the United Nations Conference on the Human Environment in Stockholm (Rogers et al. 2007). Sustainable development first began to attract significant international attention when it was endorsed in 1987 by the World Commission on Environment and Development. According to the commission's report, Our Common Future, "sustainable development is development that meets the needs of the present without compromising the ability of future generations to meet their own needs" This one-sentence explanation, though only a start, has been widely quoted since then as the definitive statement of what sustainable development means (Dernbach 2001). Since then, numerous studies have been done addressing the sustainability, as more recent studies on sustainability issue one might refer to Baltrenas, Kazlauskiene (2009); Burinskiene (2009); Burinskiene, Rudzkiene (2009); Ciegis, Ramanauskiene (2009); Dzemydiene, Maskeliunas et al. (2009); Kaklauskas et al. (2009); Kavaliauskas (2008); Kaziliunas (2008); Kurlavicius (2009); McDonald et al. (2009); Paulauskas, S., Paulauskas, A. (2008). Sustainable development has three dimensions: economical, environmental, and social. It is critical that each component be given equal attention in order to ensure a sustainable outcome. This balance becomes obvious when each component is examined individually (Rogers et al. …

Environmental Reporting of Industrial and Supply Chain Business Processes within the Context of Sustainable development/Aplinkosaugos Ataskaita Apie Gamybos Ir Tiekimo Grandines Verslo Procesus Darnios Pletros Kontekste

Green issues in industrial and supply chain business processes have been receiving exponentially growing attention over the past decade. Consumers are demanding green products and services more and more, and on the other side of the marketplace, businesses and industries are now much more responsive to green issues. Furthermore, businesses and industrial systems are, in present conditions, positively reacting to green issues. From an academic perspective, there are considerable numbers of research on this topic in various disciplines. Thus, for the green strategies with respect to the sustainable development, this paper delves into the literature of the significance of sustainability concept with an emphasis on the ecological dimension and then brings a range of essential perspectives along with the applied framework of environmental reporting of industrial and supply chain business processes.

Environmental Reporting of Industrial and Supply Chain Business Processes within the Context of Sustainable Development

Studies on seaport operations emphasize the fact that the numbers of resources utilized at seaport terminals add a multitude of complexities to dynamic optimization problems. In such dynamic environments, there has been a need for solving each complex operational problem to increase service efficiency and to improve seaport competitiveness. This paper states the key problems of seaport logistics and proposes an innovative cross‐entropy (CE) algorithm for solving the complex problems of combinatorial seaport logistics. Computational results exhibit that the CE algorithm is an efficient, convenient and applicable stochastic method for solving the optimization problems of seaport logistics operations.

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The Cross-Entropy Method for Combinatorial Optimization Problems of Seaport Logistics Terminal

Transportation and logistics systems are characterised by their highly dynamic structures along with numerous interconnected processes. The natures of these systems involve various levels of resource allocation decisions where usually it is not always possible to execute these decisions in the field on time at the best possible way because of the unpredictable factors in plans. By considering the uncertain operational environment, this paper explores the uncertainty issue within operational systems and deals with the problem of allocating resources to maximise expected total profit and minimise inefficiencies under uncertainty. The aim is to design, develop, visualise, and effectively deal with a more realistic model to satisfy uncertain demand nodes by leaving minimal or no unsatisfied zones within an operational environment at seaports, transportation, logistics and supply chain systems. A representative optimisation model, which is developed to address the uncertainty issue, has been solved by using an optimisation algorithm. The results show that operational plans without the utilisation of uncertainty models could have negative impacts, including increased emissions, negative environmental effects, along with higher costs to organisations.

Funda Yercan

Papers

Environmental Reporting of Industrial and Supply Chain Business Processes within the Context of Sustainable development/Aplinkosaugos Ataskaita Apie Gamybos Ir Tiekimo Grandines Verslo Procesus Darnios Pletros Kontekste

Environmental Reporting of Industrial and Supply Chain Business Processes within the Context of Sustainable Development

The Cross-Entropy Method for Combinatorial Optimization Problems of Seaport Logistics Terminal

Logistics systems and optimisation strategies under uncertain operational environment