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

Introduction to the special issue on the role of operational research in future epidemics/ pandemics

“… Abdin et al, 2022 , Gupta et al, 2022 , Hosseini-Motlagh et al, 2022 , Li et al, 2022 , Liu et al, 2022 , Lu and Borgonovo, 2022 , Rautenstrauss et al, 2022 , Rezapour et al, 2022 , Sinha et al, 2022 , Taylor and Taylor, 2022 , Thul and Powell, 2022 , Wolfinger et al, 2022 , Yin et al, 2022 , Zhang et al, 2022 , Zhou et al, 2022 , Bozkir et al, 2022 , Chang and Kaplan, 2022 , Chen et al, 2022 , Fischetti et al, 2022 …”

Training Demand Prediction Models by Decision Error for Two-Stage Lot-Sizing Problems

“…Zhang considered the two-stage minimax robust lot-sizing problem with interval uncertain demands and they showed that the problem could be solved with a polynomial under certain conditions [3] . Li et al proposed a risk-averse two-stage stochastic model for a joint line balancing and lotsizing problem under demand uncertainty [5]. Slama et al considered uncertain refurbishing durations for disassembly lot-sizing problems and they formulated the problem as a twostage model [17] .…”

“…Many techniques such as stochastic optimization and rolling-horizon planning [2] have been developed to address the problem of uncertain demand. Motivated to overcome the challenge presented by this problem, we propose a prediction model tailored for the twostage lot-sizing problem [3]- [5]. We consider the problem that arises because the set-up decisions are made in the first stage (the planning stage) before the actual demand becomes fully known.…”

Recycling Strategies in a Collector-Led Remanufacturing Supply Chain under Blockchain and Uncertain Demand

“…Garai and Paul [23] explored supply chain coordination in a closed-loop supply chain comprising one retailer, one main supplier whose demand is stochastic uncertain, and a backup supplier. Li et al [24] built a two-stage stochastic program and investigated a comprehensive production planning problem considering uncertain demand and risk-averse. Some other literature has studied demand uncertainty in supply chains from the perspective of fuzzy uncertainty.…”