CY
C. Yan
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1
A Sustainable Product-Service System (PSS) Design for Retail Food Loss and Waste
Research Through Design
The shipping market has gone through a rough time since the start of the crisis. Today the general sentiment is that rates are improving and that the worst is behind us. However for the shipbuilding sector this does not seem to hold, with rising market sentiment, more orders would be expected, however, the uncertainty around the required Green House Gas reductions agreed upon by the IMO, seems to withhold ship owners from increasing their number of orders for ships. Therefore, this research focuses on the shipbuilding sector and the impact these new regulations have on it. This paper will focus on the first part of this investigation; the creation of a newbuilding price and lead time models. After consideration of relevant literature, the general additive model (GAM) has been chosen and is applied both to the newbuilding price and the lead time as these two elements are seen to mutually influence each other. For the creation of these models, backward elimination was used resulting in a large number of variables tested and compared for relevance. The final results are promising, though the lead time will require further research to increase explanatory power.
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The shipping market has gone through a rough time since the start of the crisis. Today the general sentiment is that rates are improving and that the worst is behind us. However for the shipbuilding sector this does not seem to hold, with rising market sentiment, more orders would be expected, however, the uncertainty around the required Green House Gas reductions agreed upon by the IMO, seems to withhold ship owners from increasing their number of orders for ships. Therefore, this research focuses on the shipbuilding sector and the impact these new regulations have on it. This paper will focus on the first part of this investigation; the creation of a newbuilding price and lead time models. After consideration of relevant literature, the general additive model (GAM) has been chosen and is applied both to the newbuilding price and the lead time as these two elements are seen to mutually influence each other. For the creation of these models, backward elimination was used resulting in a large number of variables tested and compared for relevance. The final results are promising, though the lead time will require further research to increase explanatory power.