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In spite of the increasing awareness apparent in the literature regarding the selection of sustainable suppliers, there are limitations in incorporating the sustainable performance in terms of traditional, environmental and social aspects in supplier selection and order allocation. Thus, an integrated fuzzy TOPSIS-multi objective optimization (MOO) approach was developed to integrate sustainable performance...
The politically initiated energy turnaround in Germany changes the decision-making structures concerning the development of the future power generation sector. In this context a future energy system has to fulfill the principle of sustainability which is characterized by multiple criteria and diverse stakeholder interests. In this paper we propose a multi-period, multi-objective optimization method...
Leveraging on the recent availability of open data about public transports, the last generation of smartphone applications provide highly personalised guidance to passengers during their trips. This smart assistance definitely improves the passenger comfort, streamlines their trips, especially in case of infrastructure incidents and/or multimodal trips. However, there are important limitations stemming...
This paper develops a new approach to sustainable planning of WEEE recycling innovation strategies for meeting the best sustainable innovation interests of a WEEE management company. A fuzzy multi-attribute decision making algorithm is used to evaluate the to-be implemented innovation strategies in terms of their readiness levels on identified sustainability-related key risk factors (SRFs) under the...
With this paper, we introduce the concept of Ecological Workflow Patterns (EWPs) in the domain of Green Business Process Management (Green BPM). The optimization of processes with respect to ecological goals often faces difficulties in adapting to the revised process. Also the consequences of changes to the process are often not predictable which makes necessary the application of simulation measures...
A Mixed Integer Linear Programming model for the design and planning of green supply chains is developed. Strategic and tactical decisions are taken, namely on facility location and capacity installation, supplier selection, technology selection, transportation network definition, supply planning, and product recovery. The aim of this work is to study the use of environmental indicators in these decisions...
Mine dewatering systems are energy intensive and present ample opportunity for the implementation of electricity cost saving measures. One such electricity cost saving measure is the implementation of load shifting projects to shift pumping load from the peak periods to the off-peak periods of the Eskom Megaflex tariff structure. However, past experience has shown that the electricity cost savings...
In maintenance engineering, it is intended that in a Block Replacement Policy (BRP) model, items are removed and replaced by new ones at failure and at the beginning of each scheduled time kT (fe = 1, 2, …). It was proved that this kind of strategies has its limits and didn't cover others particular situations. This paper addresses a modified BRP model, that in the same conditions, instead of using...
Aggregate planning refers to the determination of production, inventory and capacity levels for a medium term. Traditionally standard mathematical programming formulation is used to devise the aggregate plan so as to minimize the total cost of operations. However, this formulation is purely an economic model that does not include sustainability considerations. In this study, we revise the standard...
The consumption of electric energy for general supply of a country is increasing over the years. In Brazil, energy demand grows, on average, 5% per year and the power source is predominantly hydroelectric. Many of the power plants installed in Brazil do not operate efficiently, from the water consumption point of view. The normal mode of operation (NMO) equally divides power demand between existing...
Regulating the power consumption to avoid peaks in demand is a common practice. Demand Response(DR) is being used by utility providers to minimize costs or ensure system reliability. Although it has been used extensively there is a shortage of solutions dealing with dynamic DR. Past attempts focus on minimizing the load demand without considering the sustainability of the reduced energy. In this paper...
Human's impact on earth through global warming is more or less an accepted fact. Ocean freight is estimated to contribute 4–5% of global carbon emissions and manufacturing companies can aid in reducing this amount. Many companies that ship goods through full container loads do not have the capabilities to ensure the containers they are using minimizes their carbon footprint. One of the reasons is...
Sensors aesthetically embedded in accessoriessuch as jewelry, piercings or contact lenses arebeing proposed recently. These symbiotic wearable wirelesssensors are envisioned to operate on scarce harvestedenergy resources from the human body. In addition tothe hardware and software constraints arising from theform-factor and low energy operations, there are safetyrequirements such as avoidance of physical...
Cloud computing has expanded in recent years due to many effects, such as accessibility, reliability, and collaboration. To provide those functionalities high availability is in demand, which implies a higher electric energy consumption by the computers that support the cloud infrastructure. Studies that pay attention to this electric energy consumption are important due to its impact on sustainability...
Cloud computing has expanded in recent years due to many effects, such as accessibility, reliability, and collaboration. To provide those functionalities high availability is in demand, which implies a higher electric energy consumption by the computers that support the cloud infrastructure. Studies that pay attention to this electric energy consumption are important due to its impact on sustainability...
The optimization of heat sink performance is becoming ever more critical in passively air-cooled applications. In this paper, an overview of analytical, semi-empirical and Computational Fluid Dynamics (CFD)-based methodologies for air-cooled heat sink design optimization in free convection is presented. The advantages and potential limitations of these design techniques are summarized. A multi-faceted...
A model has been developed that links electric power load demands to power generation pollutant emissions using data available to the general public. The relationship between generation costs and generation types is developed first using real-time fuel cost data. The locational marginal price (LMP) at any bus in the system is then used to determine the generating unit type that is “marginal” at any...
Sustainability is the capacity to endure. In ecology, the word describes how biological systems remain diverse and productive over time. In the field of IT, the competition, the changing ecosystem, and the fact that users (and society in general) are becoming increasingly reliant on software, require that the software must change and evolve over time. Yet, very few software organizations are equipped...
In this paper, an optimization model of Green Hydrogen Refuelling Station (GHRS) is presented. The GHRS is powered completely by a wind farm to satisfy predefined hydrogen fuel and electrical energy demands. The model based on a mathematical programming is developed to control both energy and hydrogen flows exchanged among the system components. The optimization model has been applied on one week...
The more intensive the competition, the more a company's success depends on its ability to improve and renew its processes. Increasing complexity and interconnectedness of structure and process within production-related areas underline this. Risk oriented management becomes more and more important against the background of increasingly dynamic markets and the rising complexity within the corporate...
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