2009/01/01 by Josef Kallrath, Kallrath, Josef
Decision Sciences · Engineering · #Advanced Manufacturing and Logistics Optimization #Logistics #Scheduling and Optimization Algorithms #Simulation Techniques and Applications #data interfacing to SAP #planning systems #role of data #supply chain #traffic
paper · doi:10.4230/dagsemproc.09261.5
openalex publication_date 2009/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In large chemical companies, traffic logistics and supply chain logistics contain many decision problems which are suitable to be solved by mathematical optimization. The objectives are to exploit resources (traffic infrastructure such as roads and rail lines, production equipment) in a cost optimal way and to maximize profit. We present two cases: optimal sequences of rail cars in trains visiting various plants in a large company complex, and production and distribution planning. Finally, we discuss the importance of data structure and the consequences of differences between the "booking world" view of systems such as SAP and the "physical world" mapped into mathematical optimization models.