An MILP-based reordering algorithm for complex industrial scheduling and rescheduling

J Roslof, I Harjunkoski, Jerker Björkqvist, S Karlsson, Tapio Westerlund

    Research output: Contribution to journalArticleScientificpeer-review

    69 Citations (Scopus)


    The challenging structure as well as the extensive economical potential of solving various scheduling problems has fascinated numerous researchers during the recent decades. Despite the significant progress made in the fields, of operations research and process systems engineering (Puigjaner, Comp. Chem. Eng., 23 (1999): S929-S943; Shah, Proceedings of FOCAPO'98, Snowbird, Utah, USA, 1998) the complexity of many industrial-size scheduling problems means that a global optimal solution cannot be reached within a reasonable computational time. In these cases, the production schedule must be generated using e.g. some kind of sophisticated heuristics, which can often lead to suboptimal solutions. In this paper, we introduce a Mixed Integer Linear Programming (MILP) based algorithm, which can be efficiently used to improve an existing feasible, but non-optimal, production schedule or to reschedule jobs in the case of changed operational parameters. The algorithm has been successfully applied to certain scheduling problems in both the paper-converting and pharmaceutical industry. (C) 2001 Elsevier Science Ltd. All rights reserved.
    Original languageUndefined/Unknown
    Pages (from-to)821–828
    Number of pages8
    JournalComputers and Chemical Engineering
    Issue number4-6
    Publication statusPublished - 2001
    MoE publication typeA1 Journal article-refereed


    • heuristics
    • MILP
    • paper-converting industry
    • scheduling
    • sequence-dependent setup times

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