collaborative planning

Digital factory, simultaneous engineering and system interoperability are based on collaborative interdisciplinary working processes in an enterprise. According to a study of the workgoup industry 4.0 [1] the implementation of industry 4.0 leads to new collaborative and cooperative behaviour between employees. For academic teaching this implies, that in addition to technical, methodological and IT expertise, collaboration skills must be encouraged. The following article explains the use of physical models to teach collaboration skills by means of the example of factory planning. These models are currently realized or are already in use in teaching at the department for organization of production and factory planning of the University of Kassel.

The article deals with the topic of demand and capacity management in inter-organizational production networks. It addresses the question how firms can coordinate build-up as well as reduction of the capacities of their production resources. For this purpose a decentralized negotiation-based coordination mechanism is presented. By this production networks are enabled to synchronize their capacities without the help of a central coordinator. The coordinating effect of the proposed decentralized planning approach was proven also in comparison to existing centralized network planning methods.

Dynamic production and logistics systems along supply chains have to operate smoothly with each other in order to satisfy customer demand in time. This task becomes even more challenging in the presence of perturbations affecting the systems. In order to address this challenge, information concerning capabilities and employment level should be appropriately exchanged between production and transportation systems. Nevertheless different stakeholders perform the planning and control of the individual systems, making locally bounded decisions. In this article we present a new approach for the alignment of production and transportation processes that enables an advanced handling of perturbations on the operational level. To this end we introduce a trigger that indicates when a re-planning of existing schedules becomes necessary. We also present a collaborative planning approach that allows for an advanced management of perturbations and a dynamic vehicle routing concept for the on time ...

In Supply Chain Management, the coordination of information-, material- and value streams is of central importance. One possible approach is the Collaborative Planning, Forecasting and Replenishment Model. In this article, the most important success factors from the areas of data quality, product structure, producer, customer and human factors are presented. A graphical method for assessing efforts and benefits, as well as optimizing the cost-benefit ratio, is presented. The method is verified based on an application example from industry.

We consider a network of transport service providers where transport orders can be exchanged between carrier organisations. For an efficient allocation of the transport orders we propose a bargaining mechanism to be implemented in an exchange market. In order to evaluate possible exchanges of transport orders between carriers we calculate the individual contribution margins of orders on the basis of solving a routing problem. The paper investigates the impact of this strategy on the total profit achieved in the transportation network.