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

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 lotsizing problem subject to a capacity constraint. A production schedule has to be determined for random demand so that expected costs are minimized and a constraint based on a new backlog-oriented -service-level measure...

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

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 presents an optimization-based solution approach for the dynamic multi-level capacitated lot sizing problem (MLCLSP) with positive lead times. The key idea is to solve a series of mixed-integer programs in an iterative fix-and-optimize algorithm. Each of these programs is optimized...