Recipe driven production is the key technology to master complex batch processes in the process industries. Simulation of recipe driven production can support many tasks in planning and operation of such plants. In this contribution, we present a framework that integrates different simulation strategies (purely discrete, timed discrete, continuous-discrete) in order to provide the best suited o...

Today, transport and logistic systems are often tightly integrated in the production. Lean production and just-in-time delivering create multiple constraints that have to be fulfilled. As transport networks often have evolved over time they are very expensive to change. This paper describes a discrete-event-simulation system which simulates transportation models using real time resource routing...

The research presented in this paper proposes an innovative agent-based approach for planning and “no-negotiation” approach in catalogue based emarketplace. In e-marketplace, production planning tools allow creating a link between commercialization and production activities providing a better service for the customer and for the supplier. On the other hand, negotiation tools allow making transa...

This paper presents an optimization-based method to aid capacity planning decisions by quantifying the trade-off between the capital and operating costs of a production facility and the quality of finished products. Given forecasted market demands during multiple production periods, multi-objective optimization selects the quantity and the types of production machines to be purchased during eac...

The concept of autonomous logistic processes addresses the emerging requirements in current and future logistics by applying the latest information and communication technologies. They enable autonomous systems that operate and cooperate as local representatives of logistic entities. The analysis and design of these processes is subject to simulation studies. Two simulation systems for the anal...

The delivery of health care services has been under pressure due to limited funding and increasing demand. This has highlighted the need to increase not only the effectiveness but also the efficiency of health care delivery. Discrete-event simulation has been suggested as an analysis tool in health care management to support the planning of health care resources. The overall purpose of this the...

Supply chains are difficult to plan because they involve complex relationships and dynamically changing variables that influence supply chain performance. In this paper, discrete-event simulation (DES) is evaluated in order to identify its appropriateness as a technique in supply chain planning. A DES model was developed as part of a case study, and is used in this paper to determine whether DE...