Application of the surrogate gradient method for a multi-item single-machine dynamic lot size scheduling problem

Abstract This study treats a multi-item single-machine dynamic lot size scheduling problem with sequence-independent setup cost and setup time. This problem has various heterogeneous decision features, such as lot sizing and lot sequencing. Traditionally, the problem has been treated by putting arti...

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Main Author: Minoru Kobayashi
Format: Article
Language:English
Published: Springer 2021-06-01
Series:SN Applied Sciences
Subjects:
Online Access:https://doi.org/10.1007/s42452-021-04669-3
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author Minoru Kobayashi
author_facet Minoru Kobayashi
author_sort Minoru Kobayashi
collection DOAJ
description Abstract This study treats a multi-item single-machine dynamic lot size scheduling problem with sequence-independent setup cost and setup time. This problem has various heterogeneous decision features, such as lot sizing and lot sequencing. Traditionally, the problem has been treated by putting artificial constraints on the other feature in order to determine one of them. The proposed model is a Lagrange decomposition and coordination method that aims at simultaneous optimization of these decision features; however, smooth convergence to a feasible near-optimal solution has been a problem. So, in this paper, we propose a model that improves the constraint equation of the existing model and showed that it satisfies the Karush–Kuhn–Tucker (KKT) condition when we obtained a feasible solution. In addition, by applying the surrogate gradient method, which has never been applied to this problem before, it was shown that smoother convergence than before can be achieved through actual example of printed circuit board.
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spelling doaj.art-6210d4793bf544ed9e389969b56425572022-12-21T20:04:23ZengSpringerSN Applied Sciences2523-39632523-39712021-06-01371910.1007/s42452-021-04669-3Application of the surrogate gradient method for a multi-item single-machine dynamic lot size scheduling problemMinoru Kobayashi0Fukuoka Institute of TechnologyAbstract This study treats a multi-item single-machine dynamic lot size scheduling problem with sequence-independent setup cost and setup time. This problem has various heterogeneous decision features, such as lot sizing and lot sequencing. Traditionally, the problem has been treated by putting artificial constraints on the other feature in order to determine one of them. The proposed model is a Lagrange decomposition and coordination method that aims at simultaneous optimization of these decision features; however, smooth convergence to a feasible near-optimal solution has been a problem. So, in this paper, we propose a model that improves the constraint equation of the existing model and showed that it satisfies the Karush–Kuhn–Tucker (KKT) condition when we obtained a feasible solution. In addition, by applying the surrogate gradient method, which has never been applied to this problem before, it was shown that smoother convergence than before can be achieved through actual example of printed circuit board.https://doi.org/10.1007/s42452-021-04669-3Lagrangian decomposition and coordination methodProduction schedulingAccelerationDummy item
spellingShingle Minoru Kobayashi
Application of the surrogate gradient method for a multi-item single-machine dynamic lot size scheduling problem
SN Applied Sciences
Lagrangian decomposition and coordination method
Production scheduling
Acceleration
Dummy item
title Application of the surrogate gradient method for a multi-item single-machine dynamic lot size scheduling problem
title_full Application of the surrogate gradient method for a multi-item single-machine dynamic lot size scheduling problem
title_fullStr Application of the surrogate gradient method for a multi-item single-machine dynamic lot size scheduling problem
title_full_unstemmed Application of the surrogate gradient method for a multi-item single-machine dynamic lot size scheduling problem
title_short Application of the surrogate gradient method for a multi-item single-machine dynamic lot size scheduling problem
title_sort application of the surrogate gradient method for a multi item single machine dynamic lot size scheduling problem
topic Lagrangian decomposition and coordination method
Production scheduling
Acceleration
Dummy item
url https://doi.org/10.1007/s42452-021-04669-3
work_keys_str_mv AT minorukobayashi applicationofthesurrogategradientmethodforamultiitemsinglemachinedynamiclotsizeschedulingproblem