Motivated by sawmill production planning, this paper investigates multi-period, multi-product (MPMP) production planning in a manufacturing environment with nonhomogeneous raw materials, and consequently random processes yields. A two-stage stochastic linear program with recourse is proposed to address the problem. The random yields are modeled as scenarios with stationary probability distribut...

This paper considers a stochastic production planning problem with regime switching. There are two regimes corresponding to different economic cycles. A factory is its so as minimize costs. We analyze this and the optimal characterized through an elliptic system of partial differential equations which can be numerically solved. perform sensitivity analysis for we provide intuition. model risk r...

This paper discusses the design of automated lines, taking into account use industrial robots to perform technological operations. When planning manufacturing processes, as well placement process equipment and in production area, optimization techniques are usually used ensure critical performance efficiency indicators. The considered methods shown on example an line for lithium-ion batteries. ...

This paper presents work carried out within the ‘ExPlanTech’ project (IST-199920171) funded in part by the European Commission's Information Technologies Programme. The mission of the ExPlanTech technology transfer project is to introduce, customize and exploit the multi-agent production planning technology (ProPlanT multi-agent system research prototype) in two specific industrial enterprises....

The traditional production planning model based upon the famous linear programming formulation has been well known in the literature. The consideration of uncertainty in manufacturing systems supposes a great advance. Models for production planning which do not recognize the uncertainty can be expected to generate inferior planning decisions as compared to models that explicitly account the unc...