Review of Individual Publications

Grunow et al. (2006) present a model developed for supply network design in electrical components manufacturing. The model focuses on product relocation and capacity expansion decisions and does not consider setup of new plants or closure of existing ones. Additionally, simple assembly plants supplied with complete kits from a major production site are modeled. To account for production-development synergies in early life-cycle 

Fleischmann et al. (2006) provide a global production network planning model used at BMW that extends the simpler load planning model proposed by Flenrich (2002). The model is a multi-period, multi-product model with an objective function that maximizes the pre-tax net present value of the network. It includes decisions on product-plant allocation, production volumes, material sourcing volumes by supply region, structural and product-specific investments and use of overtime capacity. A major contribution of the model is the incorporation of the time-distribution of investment expenditures typically observed in automobile production networks. While tariffs are included in the transportation costs, the model does not consider further aspects of international trade such as currencies, duty drawbacks or local content rules which play a major role in practice. 

Martel et al. (2005) propose a single-period, deterministic, multiple-product MILP model specifically developed for optimization of global pulp and paper supply chains. Based on the characteristics of pulp and paper supply chains two production echelons, one distribution echelon and 

Specific aspects of dairy production are covered by the model proposed by Wouda et al. (2002). While the model is relatively simple with respect to its mathematical structure (single-period, domestic setting, two production levels), it contains aspects such as milk collection from production regions, divergent material flows occurring in the first stage of dairy processing and transshipment of the respective intermediates between plants. 

Melo et al. (2005) propose a multi-period, deterministic, multiple-product MILP model for strategic supply chain planning. The model does not impose any restrictions on the number and type of facilities and the transportation links between facilities. The basic model explicitly covers relocation of capacity to new facilities. It can be extended to include capacity expansions and reductions. To this end, two fictitious, non-selectable facilities are introduced that provide additional or absorb excessive capacities. Capacity is assumed to be adjustable on a continuous scale but an extension to modular capacity is also provided. The model is very 

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