|Statement||by Dirk Cattrysse...[et al.].|
|Series||Working papers / INSEAD -- no.91/17/TM|
|The Physical Object|
|Number of Pages||15|
In this paper the Discrete Lotsizing and Scheduling Problem (DLSP) with setup times is considered. DLSP is the problem of determining the sequence and size of Cited by: Dirk Cattrysse & Marc Salomon & Roelof Kuik & Luk N. Van Wassenhove, "A Dual Ascent and Column Generation Heuristic for the Discrete Lotsizing and Scheduling Problem with Setup Times," Management Science, INFORMS, vol. 39(4), pages , April. Peter J. Billington & John O. McClain & L. Joseph Thomas, The discrete lot-sizing and scheduling problem consists in scheduling several products on a single machine so as to meet the known dynamic demand and to minimize the sum of inventory and setup cost. Abstract. In this paper some recent results on the Discrete Lotsizing and Scheduling Problem (DLSP) are presented. DLSP tries to determine a feasible production schedule with minimal total costs for a single-stage multi-item manufacturing process by .
The discrete lotsizing and scheduling problem for one machine with sequence-dependent setup times and setup costs is solved as a single machine scheduling problem, which we term the batch sequencing problem. The relationship between the lotsizing problem and the batch sequencing problem is analyzed. A Hybrid Lagrangian-Simulated Annealing-based heuristic for the parallel-machine capacitated lot-sizing and scheduling problem with sequence-dependent setup times Article May The GLSP (GeneralLotsizing andSchedulingProblem) addresses the problem of integrating lotsizing and scheduling of several products on a single, capacitated machine. Continuous lotsizes, meeting deterministic, dynamic demands, are determined and scheduled with the objective of minimizing inventory holding costs and sequence-dependent setup costs. for the discrete lot-sizing and scheduling problem (DLSP) for identical parallel machines without setup time. In the DLSP only one item can be produced per machine and per period and, if so, production uses the full capacity. Carreno () proposes a heuristic for the economic lot scheduling problem (ELSP) for.
Downloadable! In this paper the Discrete Lotsizing and Scheduling Problem (DLSP) with setup times is considered. DLSP is the problem of determining the sequence and size of production batches for multiple items on a single machine. The objective is to find a minimal cost production schedule such that dynamic demand is fulfilled without backlogging. Lot-sizing and Scheduling Problem has always been extremely important with operating planner. The research seeks to deal with the Capacitated Lot-sizing and Scheduling Problem with Sequence-Dependent Setup Times and Returns by heuristic approach. The problem formulization is inspired by the real working environment of a bottling plant which. Heuristic for the Discrete Lotsizing and Scheduling Problem with Setup Times Dirk Cattrysse * Marc Salomon * Roelof Kuik * Luk N. Van Wassenhove Katholieke Universiteit Leuven, IB, Celestijnenlaan A, B Leuven-Heverlee, Belgium Rotterdam School of Management, Erasmus University, P.O. Box , NL DR Rotterdam, The Netherlands. the Discrete Lot Sizing and Scheduling Problem (DLSP), the Continuous Setup Lot Sizing Problem (CSLP) and the Proportional Lot Sizing and Scheduling Prob- it has shown to outperform other well-known heuristics for multi-level lot sizing with respect to the solution quality. 3. the case of both sequence-dependent setup times and costs.