Application of a Fuzzy Feasibility Bayesian Probabilistic Estimation of supply chain backorder aging, unfilled backorders, and customer wait time using stochastic simulation with Markov blankets

作者：

Highlights：

• Regression analysis to predict backorder aging on unique identifiers.

• Bayesian analysis investigated the NIIN component variables.

• Results indicate is statistically feasible to predict propensity to become backordered item.

• Posterior probability distribution of backorder used stochastic simulation Markov blanket.

• Fuzzy clustering produced a funnel backorder trigger that must be updated regularly.

摘要

•Regression analysis to predict backorder aging on unique identifiers.•Bayesian analysis investigated the NIIN component variables.•Results indicate is statistically feasible to predict propensity to become backordered item.•Posterior probability distribution of backorder used stochastic simulation Markov blanket.•Fuzzy clustering produced a funnel backorder trigger that must be updated regularly.

论文关键词：AAC,Acquisition Advice Code,ALT,administrative lead time,AMC,Acquisition Method Code,AMSC,Acquisition Method Suffix Code,B3I,Battlefield Breakout Backorder Initiative,BLS,birth to last shipment,CIIC,Controlled Inventory Item Code,COTS,Commercial Off The Shelf,DLA,Defense Logistics Agency,NIIN,National Item Identification Number,NP,Non-deterministic Polynomial-time,NSN,National Stock Number,PHDM,Procurement History Data Mart,PLT,production lead time,RHDM,Requisition History Data Mart,SCBORT,supply chain backorder trigger,Supply chain,Decision support system,Bayesian network,Backorder,Fuzzy logic,Markov blanket

论文评审过程：Available online 27 May 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.05.012