activity
20182025
most citedEffects of forecast errors on optimal utilisation in aggregate production planning with stochastic customer demand

34 citations · 41 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2025★ 1 cited

Optimizing Energy Consumption in Stochastic Production Systems: Using a Simulation-Based Approach for Stopping Policy

Balwin Bokor, Klaus Altendorfer, Andrea Matta

In response to the escalating need for sustainable manufacturing, this study introduces a Simulation-Based Approach (SBA) to model a stopping policy for energy-intensive stochastic…

eess.SY2025★ 2 cited

Release Date Optimization in MRP Using Clearing Functions

Wolfgang Seiringer, Klaus Altendorfer, Reha Uzsoy

This paper integrates a clearing function (CF)-based release planning approach into Material Requirements Planning (MRP) to address its limitations in modeling capacity constraints…

econ.GN2024

Evaluating Production Planning and Control Systems in Different Environments: A Comparative Simulation Study

Wolfgang Seiringer, Balwin Bokor, Klaus Altendorfer

Selecting the appropriate production planning and control systems (PPCS) presents a significant challenge for many companies, as their performance, i.e., overall costs, depends on…

econ.GN2024★ 2 cited

How Periodic Forecast Updates Influence MRP Planning Parameters: A Simulation Study

Wolfgang Seiringer, Klaus Altendorfer, Thomas Felberbauer +2

In many supply chains, the current efforts at digitalization have led to improved information exchanges between manufacturers and their customers. Specifically, demand forecasts ar…

eess.SY2024

Integrating Simulation Budget Management into Drum-Buffer-Rope: A Study on Parametrization and Reducing Computational Effort

Balwin Bokor, Wolfgang Seiringer, Klaus Altendorfer

In manufacturing, a bottleneck workstation frequently emerges, complicating production planning and escalating costs. To address this, Drum-Buffer-Rope (DBR) is a widely recognized…

econ.EM2024★ 2 cited

Enhancing Rolling Horizon Production Planning Through Stochastic Optimization Evaluated by Means of Simulation

Manuel Schlenkrich, Wolfgang Seiringer, Klaus Altendorfer +1

Production planning must account for uncertainty in a production system, arising from fluctuating demand forecasts and execution-level friction. This article integrates scenario-ba…

math.OC2018★ 34 cited

Effects of forecast errors on optimal utilisation in aggregate production planning with stochastic customer demand

Klaus Altendorfer, Thomas Felberbauer, Herbert Jodlbauer

The hierarchical structure of production planning has the advantage of assigning different decision variables to their respective time horizons and therefore ensures their manageab…