6533b86dfe1ef96bd12ca97a
RESEARCH PRODUCT
Regenerative scheduling problem in engineer to order manufacturing: an economic assessment
Rosa MicaleG. La ScaliaMario EneaC.m. La Fatasubject
0209 industrial biotechnologyJob shop schedulingProcess (engineering)Build to orderComputer scienceEconomic assessment; Engineer to order; Mathematical programming; SchedulingManufacturing organizationScheduling (production processes)02 engineering and technologyIndustrial engineeringIndustrial and Manufacturing Engineering020901 industrial engineering & automationEconomic assessmentArtificial IntelligenceOrder (exchange)Economic assessment Engineer to order Mathematical programming SchedulingSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineeringProduction (economics)020201 artificial intelligence & image processingSoftwaredescription
The dynamic production scheduling is a very complex process that may arise from the occurrence of unpredictable situations such as the arrival of new orders besides the ones already accepted. As a consequence, companies may often encounter several difficulties to make decisions about the new orders acceptance and sequencing along with the production of the existing ones. With this recognition, a mathematical programming model for the regenerative scheduling problem with deterministic processing times is formulated in the present paper to evaluate the economic advantage of accepting a new order in an engineer to order (ETO) manufacturing organization. The real case of an Italian ETO company which produces hydraulic marine and offshore cranes is afterwards presented.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-01-03 |