The competitiveness of a container terminal is highly conditioned by the time that container vessels spend on it. The proper scheduling of the quay cranes can reduce this time and allows a container terminal to be more attractive to shipping companies. The goal of the Quay Crane Scheduling Problem (QCSP) is to minimize the handling time of the available quay cranes when performing the tasks of …
This paper addresses a highly researched area, the reshuffling problem in ports, using a newparadigm-modified containership service order in light of credit risk assessment. Container stacking and reshuffling operations can cause ship delays and additional risk. In deep-sea terminals, outbound containers are tightly stacked according to the retrieval sequence. Due to lack of space, terminals st…
Assessing the potential demand for container ports and related multimodal transportation is critical for several purposes, including financial feasibility analysis and the evaluation of net economic benefits and their distribution. When developed in conjunction with a geographical information system, portrelated demand analysis also provides needed input for assessment of selected environmental…
Since brand is recognized as one of the most significant intangible assets to firms, branding strategy has become a top management priority. To stay competitive in the global economy, airports are required to identify their own brand value accurately for better management. While there are a multitude of studies using marketing approach, few studies have attempted to quantify the airport’s br…
Polarica is a company in northern Europe buying, refining and selling wild berries and other specialty foods. During the last couple of years the volume of wild berries, mostly blueberries, has increased a lot. This expansion forces Polarica to consider investments in freezing-in capacity and cold-storage capacity. A simple heuristic model was constructed, from which it was concluded that addit…
The principal aim of this study was to provide more realistic output data based on imprecise measurements of product quality. The real-world problems in fuzzy testing and selecting better processes performance are considered.