Search results

In this paper, the authors introduced a real world new problem, the multi-trip vehicle routing problem with time windows and the possible use of a less-than-truckload carrier to satisfy customer demands. The purpose of this paper is to develop a heuristic algorithm to route the private trucks with time windows and to make a selection between truckload and less-than-truckload carriers by minimizing a total cost function.

Both mathematical model and heuristic algorithm are developed for routing the private trucks with time windows and for selecting of less-than-truckload carriers by minimizing the total cost function.

In all, 40 test problems were examined with the heuristics. Computational results show that the algorithm obtains the optimal or near-optimal solutions efficiently in terms of time and accuracy.

The research described in this paper differs from the previous one on fleet planning or vehicle routing, in that it modifies the Clarke and Wright method by shifting the performance measure from a distance to cost and also incorporates the fixed cost of different types of trucks into the model. In addition, the authors simultaneously consider the multiple trip vehicle routing problems with time windows and the selection of less-than-truckload carriers that is an integrated scenario of real-world application. To the best of the authors’ knowledge, this scenario has not been considered in the literature.

This paper aims to compare different univariate forecasting methods to provide a more accurate short-term forecasting model on the crude oil price for rendering a reference to manages.

Six different univariate methods, namely the classical decomposition model, the trigonometric regression model, the regression model with seasonal dummy variables, the grey forecast, the hybrid grey model and the seasonal autoregressive integrated moving average (SARIMA), have been used.

The authors found that the grey forecast is a reliable forecasting method for crude oil prices.

The contribution of this research study is using a small size of data and comparing the forecasting results of the six univariate methods. Three commonly used evaluation criteria, mean absolute error (MAE), root mean squared error (RMSE) and mean absolute percent error (MAPE), were adopted to evaluate the model performance. The outcome of this work can help predict the crude oil price.

The purpose of this paper is to describe how people in a coastal community act upon anxieties about overexploitation of a shared resource and their attempts to ease the moral tension caused by the rapid industrialization of their fishery. This anthropological study contributes to the cross-disciplinary discussion of community-based resource management.

The study is based on ethnographic fieldwork done at the Nanfang'ao port located in northeastern Taiwan. This port has several prosperous offshore fisheries including a mackerel fishery. The mackerel fishery has undergone important transformations in recent decades. The first was a total transformation of fishing methods in 2013. The second was the government's formulation of the “Regulations for Fishing Vessels Catching Mackerels and Jacks,” implemented in 2014. This research illustrates how people in a community take various approaches to pursue sustainability for the human beings and the more-than-human world.

In Nanfang'ao port, local people have developed a meaningful cultural festival through the integration of various symbols and rituals from different contexts in an effort to call attention to moral issues associated with the mackerel fishery.

This research contributes to the discussion on community resource management of marine fishery.