Integrated Lot-sizing and Job Shop Scheduling Benefiting From Reconfigurable Machine Tools

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F22%3A00363448" target="_blank" >RIV/68407700:21730/22:00363448 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.ifacol.2022.09.567" target="_blank" >https://doi.org/10.1016/j.ifacol.2022.09.567</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ifacol.2022.09.567" target="_blank" >10.1016/j.ifacol.2022.09.567</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Integrated Lot-sizing and Job Shop Scheduling Benefiting From Reconfigurable Machine Tools

Popis výsledku v původním jazyce

In recent years, the reconfigurable manufacturing system has received a great deal of attention as an effective manufacturing paradigm to tackle high diversity and volatility of demand. Its effective implementation requires responsive production planning to provide accurate capacity and functionality needed at any given time of the planning horizon. In the present work, an integrated lot-sizing and job shop scheduling problem as one of the most challenging problems in production planning is investigated considering reconfigurable machine tools. In this regard, a novel mathematical model is developed for simultaneous optimization of the lot-sizing, scheduling, and machine configuration to meet all demands with minimum operational costs, including setup, production, inventory holding, and machine reconfiguration. Three key performance indicators (KPIs) are considered to evaluate the system performance, including schedulability, optimality, and responsiveness. Finally, computational experiments are conducted affirming promising improvement in the KPIs by incorporating the machine reconfigurability in the integrated lot-sizing and job shop scheduling problem. Copyright (C) 2022 The Authors.

Název v anglickém jazyce

Integrated Lot-sizing and Job Shop Scheduling Benefiting From Reconfigurable Machine Tools

Popis výsledku anglicky

In recent years, the reconfigurable manufacturing system has received a great deal of attention as an effective manufacturing paradigm to tackle high diversity and volatility of demand. Its effective implementation requires responsive production planning to provide accurate capacity and functionality needed at any given time of the planning horizon. In the present work, an integrated lot-sizing and job shop scheduling problem as one of the most challenging problems in production planning is investigated considering reconfigurable machine tools. In this regard, a novel mathematical model is developed for simultaneous optimization of the lot-sizing, scheduling, and machine configuration to meet all demands with minimum operational costs, including setup, production, inventory holding, and machine reconfiguration. Three key performance indicators (KPIs) are considered to evaluate the system performance, including schedulability, optimality, and responsiveness. Finally, computational experiments are conducted affirming promising improvement in the KPIs by incorporating the machine reconfigurability in the integrated lot-sizing and job shop scheduling problem. Copyright (C) 2022 The Authors.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LL1902" target="_blank" >LL1902: Obohacování SMT řešičů pomocí strojového učení</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

IFAC-PapersOnLine

ISBN

—

ISSN

2405-8963

e-ISSN

2405-8963

Počet stran výsledku

6

Strana od-do

1284-1289

Název nakladatele

Elsevier B.V.

Místo vydání

Amsterdam

Místo konání akce

Nantes

Datum konání akce

22. 6. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000881681700216