2008
DOI: 10.1080/00207540701441970
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A finite-capacity production scheduling procedure for a Belgian steel company

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Cited by 7 publications
(5 citation statements)
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“…The production lines involve several process stages, where the rhythm or capacity is determined by bottleneck operation. In order to avoid a structural under-use of the available capacity, Vanhoucke and Debels (2009) introduced an unused capacity of the previous period to the capacity of current period. We refer to this capacity flexibility as capacity shift.…”
Section: P1 P4mentioning
confidence: 99%
See 1 more Smart Citation
“…The production lines involve several process stages, where the rhythm or capacity is determined by bottleneck operation. In order to avoid a structural under-use of the available capacity, Vanhoucke and Debels (2009) introduced an unused capacity of the previous period to the capacity of current period. We refer to this capacity flexibility as capacity shift.…”
Section: P1 P4mentioning
confidence: 99%
“…Each production line has a limited capacity expressed in hours, which may not be exceeded by all assigned steel plate orders as eq.(10). In order to avoid a structural under-use of the available capacity, unused capacity of the previous period 1 md ta   is added (Vanhoucke and Debels 2009). The capacity to be allocated should be limited by upper and lower bound as eq.(11).…”
Section: Capacity Constraintsmentioning
confidence: 99%
“…A study employing the Lagrangian relaxation approach to address the steelmaking process scheduling is also presented in Tang et al (2002). As heuristic optimisation methods, there are Roy et al (2004), Vanhoucke andDebels (2009) andDong et al (2010). Note that many of the aforementioned research studies combined their main optimisation methods and other strategies to some or much degree.…”
Section: Introductionmentioning
confidence: 98%
“…capacity problems are not solved on MRP level, lot sizing: only lot-for-lot, single resource for each part type Wuttipornpun and Yenradee (2004) capacity problems are not solved on MRP level, lot sizing: only lot-for-lot, bottleneck machine: one part type Finite capacity scheduling algorithms Choi and Seo (2009) flexible flow line, theoretical approach, constraints for real-life problems are missing Vanhoucke and Debels (2009) company specific constraints MRP and integrated capacity planning Billington and Thomas (1983) mathematical programming formulation of the problem, high computational effort for real-life problems Tardif (1995) same routeing for all products Sum and Hill (1993) capacity-sensitive lot sizing with complex algorithms (not easy for planners to understand, high computational effort for real-life problems) Taal and Wortmann (1997) fixed lead times one-stage production, single-level BOM, single resource, no backorders (1) by integrating capacity planning in the MRP run at each level in the BOM.…”
Section: Introductionmentioning
confidence: 99%
“…to deal with real-life problems. A finite-capacity procedure for a Belgian steel company has been developed by Vanhoucke and Debels (2009) in which a multi-objective function consisting of five different cost functions is minimized under consideration of very company specific constraints. It is desirable to prevent capacity problems at the MRP calculation stage using an integrated approach of MRP and capacity planning.…”
Section: Introductionmentioning
confidence: 99%