Reducing energy consumption while providing a high-quality environment for occupants has become an important target which is worthy of consideration in the pre-design stage. A reasonable design can help achieve better performance while avoiding too much energy consumption. Parametric design...

A fuzzy goal programming approach is applied in this paper for solving the vendor selection problem with multiple objectives, in which some of the parameters are fuzzy in nature. A vendor selection problem has been formulated as a fuzzy mixed integer goal programming vendor selection problem...

This multidisciplinary study aims to overcome the shortcomings of traditional data collection methods used in the literature to investigate drivers of e-wallet adoption. We apply big data analytics to gather and analyze real-world data from users’ sentiments and opinions available on online...

Maintenance planning for railway networks is an exacting task, as it directly affects a wide range of stakeholders and entails multiple objectives. Further complications arise when maintenance strategies have to be identified at asset-type level but their corresponding performance is determined...

The collaborative robots (cobots) are one of the drivers of Industry 4.0, because they allow the automation and semi-automation of the process, yet allowing the flexibility of the production plan. The main area of cobots’ application are the assembly processes. For safety reasons, the assembly...

Metaheuristics have shown promising performance in solving various deterministic optimization problems, but their performance may deteriorate drastically when tackling problems containing stochastic multiple objectives that should be optimized simultaneously. In recent years, a large amount of...

An optimal sizing model for an off-grid hybrid micro-grid system (HMGS) consisting of solar photovoltaic (PV), wind turbine (WT), diesel generator (DG) and battery (BAT) is developed. A tri-objective formulation, considering techno-socio-economic factors, is employed for finding the optimal...

In this paper geographic information system (GIS) is introduced into the site selection planning of integrated energy stations, and a location decision model is built based on GIS & improved TOPSIS. In order to verify this for the feasibility of the model, Tianjin, China is selected as a...

A multi-objective optimisation methodology based on determining economic and environmental key performance indicators is presented and tested as a decision tool supporting the preliminary design of Carbon Capture and Storage (CCS) CO2 transport pipelines. The above involves determining...

Discounting is standard in economics to consider time preferences of people and account for future market changes. However, so far discounting has mainly been applied to monetary flows and ignored for many ecosystem services. In multi-objective optimization, selectively disregarding time...