Abstract
Production planning models for the primary wood industry have been proposed for several decades. However, the majority of the research to date is concentrated on individual cases. This paper presents an integrated adaptive modelling framework that combines the proposed approaches and identifies evolving planning situations. With this conceptual modelling approach, a wide range of planning issues can be addressed by using a solid model basis. A planning grid along the time and resource dimensions is developed and four illustrative and interdependent application cases are described. The respective mathematical programming models are also presented in the paper and the prerequisites for industrial implementation are shown.
Highlights
In production planning, the quantities to be produced are planned taking into account capacities, processes, the availability of raw materials and demanded products
In the primary wood industry, logs are used as raw materials in sawmills and processed into many intermediate products for further processing
A typical characteristic of the primary wood industry is joint production, where, based on a common input, several products are produced using cutting patterns. This is a special challenge in the production planning of a sawmill alongside the natural raw material and the associated quality fluctuations
Summary
The quantities to be produced are planned taking into account capacities, processes, the availability of raw materials and demanded products. In the primary wood industry, logs are used as raw materials in sawmills and processed into many intermediate products for further processing These value-adding processes are usually carried out at one location. A typical characteristic of the primary wood industry is joint production, where, based on a common input, several products are produced using cutting patterns This is a special challenge in the production planning of a sawmill alongside the natural raw material and the associated quality fluctuations. Different or more precise information is required for planning Data such as recipes, raw material deliveries, capacities, future sales and prices are required with increasing accuracy (for example, production recipe, process step recipe and individual machine recipe and occupancy time). The underlying model paradigm considers as basic approach all process steps, value-adding and secondary processes including internal logistics, as sources of capacity consumption
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