Regenerative scheduling problem in engineer to order manufacturing: an economic assessment

R. Micale, C. M. La Fata (), M. Enea and G. La Scalia
Additional contact information
R. Micale: University of Palermo
C. M. La Fata: University of Palermo
M. Enea: University of Palermo
G. La Scalia: University of Palermo

Journal of Intelligent Manufacturing, 2021, vol. 32, issue 7, No 9, 1913-1925

Abstract: Abstract 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.

Keywords: Engineer to order; Scheduling; Mathematical programming; Economic assessment (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10845-020-01728-1

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