A risk-averse two-stage stochastic programming model for a joint multi-item capacitated line balancing and lot-sizing problem - 文章详情页

作者：

Li, Yuchen (Li, Yuchen.) | Saldanha-da-Gama, Francisco (Saldanha-da-Gama, Francisco.) | Liu, Ming (Liu, Ming.) | Yang, Zaoli (Yang, Zaoli.)

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EI Scopus SCIE

摘要：

In　this　paper,　a　comprehensive　production　planning　problem　under　uncertain　demand　is　investigated.　The　problem　intertwines　two　NP-hard　optimization　problems:　an　assembly　line　balancing　problem　and　a　capacitated　lot-sizing　problem.　The　problem　is　modelled　as　a　two-stage　stochastic　program　assuming　a　risk-averse　decision　maker.　Efficient　solution　procedures　are　proposed　for　tackling　the　problem.　A　case　study　related　to　mask　production　is　presented.　Several　insights　are　provided　stemming　from　the　COVID-19　pandemic.　Finally,　the　results　of　a　series　of　computational　tests　are　reported.　(c)　2021　Elsevier　B.V.　All　rights　reserved.

关键词：

Uncertain demand Lot -sizing COVID-19 Combinatorial optimization Assembly line balancing

作者机构：

[ 1 ] [Li, Yuchen]Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China
[ 2 ] [Yang, Zaoli]Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China
[ 3 ] [Saldanha-da-Gama, Francisco]Univ Lisbon, Dept Estat & Invest Operac, Fac Ciencias, Lisbon, Portugal
[ 4 ] [Saldanha-da-Gama, Francisco]Univ Lisbon, Ctr Matemat, Aplicacoes Fundamentais & Invest Operac, Fac Ciencias, Lisbon, Portugal
[ 5 ] [Liu, Ming]Tongji Univ, Sch Econ & Management, Shanghai, Peoples R China

通讯作者信息：

[Yang, Zaoli]Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China;;

电子邮件地址：

liyuchen@bjut.edu.cn |
fsgama@ciencias.ulisboa.pt |
mingliu@tongji.edu.cn |
yangzaoli@bjut.edu.cn

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