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Original Articles

On the minmax common-due-date problem: extensions to position-dependent processing times, job rejection, learning effect, uniform machines and flowshops

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Pages 408-424 | Received 22 May 2019, Accepted 10 Feb 2020, Published online: 19 Mar 2020
 

Abstract

A classical single machine minmax common due-date assignment (CON) problem is studied. The problem is extended (independently) to the following settings: (1) general position-dependent job processing times are assumed, and an efficient O(n4) solution procedure is introduced; (2) the option of job rejection is allowed, and this case is shown to be solved in O(n5); (3) a deterioration effect is considered, and an O(n2) solution algorithm is proposed; (4) parallel uniform machines are considered; and (5) the machine setting is that of a permutation flowshop. The last two settings are known to be NP hard, and efficient heuristic procedures are introduced and shown numerically to produce very small optimality gaps.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by Israel Science Foundation [grant number 2505/19]. The first author was also supported by the Charles I. Rosen Chair of Management and by the Recanati Fund of the School of Business Administration, The Hebrew University, Jerusalem, Israel.

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