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.

Micale R., La Fata C.M., Enea M., La Scalia G. (2021). Regenerative scheduling problem in engineer to order manufacturing: an economic assessment. JOURNAL OF INTELLIGENT MANUFACTURING, 32(7), 1913-1925 [10.1007/s10845-020-01728-1].

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

Micale R.;La Fata C. M.
;
Enea M.;La Scalia G.
2021-10-01

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.
ott-2021
Settore ING-IND/17 - Impianti Industriali Meccanici
Micale R., La Fata C.M., Enea M., La Scalia G. (2021). Regenerative scheduling problem in engineer to order manufacturing: an economic assessment. JOURNAL OF INTELLIGENT MANUFACTURING, 32(7), 1913-1925 [10.1007/s10845-020-01728-1].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/518500
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