Anthropocentric perspective of production before and within Industry 4.0

This paper presents a novel methodology using parametric programming techniques to solve scheduling problems under uncertainty. The uncertainty present in processing times and equipment availabilities is incorporated into scheduling models, which are then transformed to multiparametric mixed-integer linear programming (mp-MILP) problems. A solution procedure that is based on recently proposed state-of-the-art mp-MILP algorithms is then discussed. A key advantage of the proposed methodology is that the complete map of optimal schedules can be obtained as a function of various parameters; rescheduling can thus be performed via simple function evaluations without any further optimization. Therefore, the proposed methodology contributes to the construction of a proactive scheduling system. Numerical examples are presented to illustrate the potential of the proposed methodology.

Proactive Scheduling under Uncertainty : A Parametric Optimization Approach

The paper deals with the general one-dimensional cutting stock problem (G1D-CSP), where optimization is not limited to a single order. Stock cutting is treated as a permanent business process in a company in which consecutive order sets need to be fulfilled either for production needs or for its customers. Exact demand for future orders is not known in advance. The unutilized and partly utilized stock lengths left after fulfilling current order sets are stored and used later. The goal is the reduction of trim loss and costs over a broader time-span. A new approach is suggested where previously developed method for G1D-CSP is modified. Several practical examples of the cutting process for several consecutive order sets are presented. An extension to a currently used typology for cutting stock problems is proposed.

One-Dimensional Cutting Stock Optimization in Consecutive Time Periods

One-dimensional cutting stock optimization in consecutive time periods

In this paper, the concept of Human-Centred Technology will be described with regard to the different dimensions of workplace, groupwork and networks and in terms of the frameworks of both society and the natural environment. These different aspects of Human-Centred Systems will be illustrated by a series of case studies representing several European countries. The report covers a wide range of research fields. The emphasis is on technology: the roles of control and information technology in enterprises today — including issues of applying AI — and the strategies of designing and implementing technology taking into account the specific aspects which characterize human-centred systems.

Janko Černetič

Papers

Human-centred approaches to control and information technology: European experiences

Improving competitiveness in veneers production by a simple-to-use DSS

Scheduling of batch digesters according to different control targets and servicing limitations

A socially appropriate approach for managing technological change

IFAC 2002 Milestone Report for the area “SOCIAL IMPACT OF AUTOMATION”