In this paper the long-term scheduling of a real world multi-product single stage continuous process for manufacturing glass is studied. This process features long minimum run lengths, and sequence dependent changeovers of the order of days, with high transition costs. The long-term scheduling involves extended time horizons that lead to large scale mixed integer linear programming (MILP) sched...

The Double Vector Quantization method, a long-term forecasting method based on the SOM algorithm, has been used to predict the 100 missing values of the CATS competition data set. An analysis of the proposed time series is provided to estimate the dimension of the auto-regressive part of this nonlinear auto-regressive forecasting method. Based on this analysis experimental results using the Dou...

Recent literature (McNulty, Yeh, Schulze, & Lubatkin, 2002) states that the assumptions behind the capital asset pricing model, in particular the irrelevance of time horizon, do not correspond to the characteristics of firms that prefer long-term investment horizons. I show that family firms display a longer time horizon than most of their nonfamily counterparts, since (1) family firms display ...

The traditional Markowitz MVO approach is based on a single-period model. Single period models do not utilize any data or decisions beyond the rebalancing time horizon with the result that their policies are myopic in nature. For long-term investors, multi-period optimization offers the opportunity to make wait-and-see policy decisions by including approximate forecasts and long-term policy dec...