This paper presents a new algorithm for the dynamic Multi-Level Capacitated Lot Sizing Problem with Setup Carry-Overs (MLCLSP-L). The MLCLSP-L is a big-bucket model that allows the production of any number of products within a period, but it incorporates partial sequencing of the production...

This paper presents a new algorithm for the dynamic Multi-Level Capacitated Lot Sizing Problem with Setup Carry-Overs (MLCLSP-L). The MLCLSP-L is a big-bucket model that allows the production of any number of products within a period, but it incorporates partial sequencing of the production...

This paper presents a new algorithm for the dynamic Multi-Level Capacitated Lot Sizing Problem with Setup Carry-Overs (MLCLSP-L). The MLCLSP-L is a big-bucket model that allows the production of any number of products within a period, but it incorporates partial sequencing of the production...

We present a stochastic version of the single-level, multi-product dynamic lotsizingproblem subject to a capacity constraint. A production schedule has tobe determined for random demand so that expected costs are minimized and aconstraint based on a new backlog-oriented Sigma-service-level...

This paper presents an optimization-based solution approach for the dynamicmulti-level capacitated lot sizing problem (MLCLSP) with positive leadtimes. The key idea is to solve a series of mixed-integer programs in an iterativefix-and-optimize algorithm. Each of these programs is optimized over...

This paper treats the problem of setting the inventory level of closed-loop owlines operating under the constant-work-in-process (CONWIP) protocol. We solve ahuge but simple linear program that models an entire simulation run of a closed-loopow line in discrete time to determine a production...

We present a detailed analysis of the patient and resource scheduling problemin rehabilitation hospitals. In practice, the predominantly therapeutical treatmentsand activities which are prescribed for the patients are typically scheduled manually.This leads to rigid and inefficient schedules...

This paper presents a linear programming approach to analyze and optimizeow lines with limited buer capacities and stochastic processing times. The basic ideais to solve a huge but simple linear program that models an entire simulation run of amulti-stage production process in discrete time, to...