An optimal integrated lot sizing policy of inventory in a bi-objective multi-level supply chain with stochastic constraints and imperfect products

A Deterministic Multi-Objective Optimization Process of Multi-Item Inventory Management in Fmcg Industry

“…inventory cost and optimal order size under intuitionistic fuzziness. Gharaei et al [3] The study is based on a bi-objective function, with conflicting goals, minimizing the chain inventory costs and maximizing the chain total profit aided to find optimum policy for integrated lot sizing under stochastic environment.…”

“…Higher safety stock inventories are stored to compensate for this. He has to meet the demand of their customers and with minimum cost and without shortages [3].…”

Resilience Supplier Selection and order allocation under uncertainty

“…They proposed risk and disruption are two major features for future research trend in SS&OL [15]. Recently, Gharaei, Pasandideh [10] developed a multi-objective mathematical model for SS&OL in supply chain with regard to imperfect quality products. They highlighted the impact of the imperfect quality products on the total performance of the supply chain (i.e.…”

“…total inventory cost and profit). To increase the applicability of the model, the uncertainty of real problems was emerged in the stochastic constraints [10]. While the sensitivity analysis was used to show the trade-off between inventory cost and profit of the network, the impacts of other features (e.g.…”

“…Researches demonstrated that supplier selection (at strategic decision level) and order allocation (at tactical decision level) decisions have significance influence on the performance of the supply chain [10,11]. The concern would be aroused when several supply chain have been disrupted due to disasters or crisis.…”