Hierarchical Production Planning Framework
for the Batch Production Environment with Setup Time and Setup Cost Restrictions
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In this research, the production planning andscheduling problems in unison with detailedsequencing activities are addressed for a singlestage, multi-product batch chemical plant in aparallel machines environment. An integratedframework for production planning and scheduling of asingle stage multi-product batch processing systemhas been developed. The production planning andscheduling models are capable of handling severalproducts on a system with sequence-dependent setups.The hierarchical structure developed integrates threedifferent planning levels: aggregate productionplanning, disaggregatio...
In this research, the production planning and
scheduling problems in unison with detailed
sequencing activities are addressed for a single
stage, multi-product batch chemical plant in a
parallel machines environment. An integrated
framework for production planning and scheduling of a
single stage multi-product batch processing system
has been developed. The production planning and
scheduling models are capable of handling several
products on a system with sequence-dependent setups.
The hierarchical structure developed integrates three
different planning levels: aggregate production
planning, disaggregation production planning, and job
sequencing. Two main contributions are made by this
research. First, this research suggests a methodology
for solving the batching process activities, as yet
not fully solved by contemporary researchers.
Secondly, an integrated approach to production and
detailed sequencing decisions is proposed.
scheduling problems in unison with detailed
sequencing activities are addressed for a single
stage, multi-product batch chemical plant in a
parallel machines environment. An integrated
framework for production planning and scheduling of a
single stage multi-product batch processing system
has been developed. The production planning and
scheduling models are capable of handling several
products on a system with sequence-dependent setups.
The hierarchical structure developed integrates three
different planning levels: aggregate production
planning, disaggregation production planning, and job
sequencing. Two main contributions are made by this
research. First, this research suggests a methodology
for solving the batching process activities, as yet
not fully solved by contemporary researchers.
Secondly, an integrated approach to production and
detailed sequencing decisions is proposed.
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