Enhanced Master Production Scheduling (EMPS)
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'We present our Cplex model of the EMPS. This model contains the basic MPS model as well as extending constraints to better anticipate the subsequent sequencing step.We also provide MPS instances derived from benchmark instances of the car sequencing problem, as well as self-created instances that take into account different numbers of options. The basic MPS model is derived from Boysen, Nils; Fliedner, Malte; Scholl, Armin (2009a): Production planning of mixed-model assembly lines. Overview and extensions. In Production Planning & Control 20 (5), 455–471' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Master Production Scheduling"]} <|eot_id|>
 Here is the Description of a dataset. Description:'We present our Cplex model of the EMPS. This model contains the basic MPS model as well as extending constraints to better anticipate the subsequent sequencing step.We also provide MPS instances derived from benchmark instances of the car sequencing problem, as well as self-created instances that take into account different numbers of options. The basic MPS model is derived from Boysen, Nils; Fliedner, Malte; Scholl, Armin (2009a): Production planning of mixed-model assembly lines. Overview and extensions. In Production Planning & Control 20 (5), 455–471' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
We present our Cplex model of the EMPS. This model contains the basic MPS model as well as extending constraints to better anticipate the subsequent sequencing step.We also provide MPS instances derived from benchmark instances of the car sequencing problem, as well as self-created instances that take into account different numbers of options. The basic MPS model is derived from Boysen, Nils; Fliedner, Malte; Scholl, Armin (2009a): Production planning of mixed-model assembly lines. Overview and extensions. In Production Planning & Control 20 (5), 455–471
Master Production Scheduling