Optimal promise time for customer orders in imperfect discrete production systems with earliness and lateness penalties

Research output: Contribution to journalArticlepeer-review

Abstract

Discrete production systems are very common in industry. This paper studies the case where the system may generate imperfect units and rework is performed immediately before starting a new unit. These systems have not received enough attention in the existing literature. We consider make-to-order imperfect discrete production systems where the manufacturer quotes the customer a promise time for delivering the ordered quantity. This is a very realistic problem that arises often in practice. The random occurrence of imperfect units results in a huge number of possible outcomes. This difficulty is resolved by defining new quantities, and success times, which are possible points of time where an imperfect unit could be generated. These quantities are used efficiently to compute the probability of having a given number of perfect units in a given time, which in turn is used in determining the optimal promise time that minimises the costs associated with late and early production of the demand. This paper examines three cases: imperfect rework, perfect rework, and non-reworkable/scrapped units. It is expected that this work will generate interest in this type of production system.

Original languageEnglish
Pages (from-to)7077-7089
Number of pages13
JournalInternational Journal of Production Research
Volume63
Issue number19
DOIs
StatePublished - 2025

Bibliographical note

Publisher Copyright:
© 2025 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • Imperfect production
  • discrete production system
  • production
  • random production output
  • rework

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Fingerprint

Dive into the research topics of 'Optimal promise time for customer orders in imperfect discrete production systems with earliness and lateness penalties'. Together they form a unique fingerprint.

Cite this