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Inventory Control for Supply Chains with Service Level Constraints: A Synergy between Large Deviations and Perturbation Analysis
by
Paschalidis, Ioannis Ch
, Panayiotou, Christos
, Liu, Yong
, Cassandras, Christos G.
in
Approximation
/ Costs
/ Customer satisfaction
/ Customer services
/ Hedging
/ Inventory
/ Inventory control
/ Operations research
/ Optimization
/ Probability
/ Stochastic models
/ Studies
/ Supply chains
2004
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Inventory Control for Supply Chains with Service Level Constraints: A Synergy between Large Deviations and Perturbation Analysis
by
Paschalidis, Ioannis Ch
, Panayiotou, Christos
, Liu, Yong
, Cassandras, Christos G.
in
Approximation
/ Costs
/ Customer satisfaction
/ Customer services
/ Hedging
/ Inventory
/ Inventory control
/ Operations research
/ Optimization
/ Probability
/ Stochastic models
/ Studies
/ Supply chains
2004
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Inventory Control for Supply Chains with Service Level Constraints: A Synergy between Large Deviations and Perturbation Analysis
by
Paschalidis, Ioannis Ch
, Panayiotou, Christos
, Liu, Yong
, Cassandras, Christos G.
in
Approximation
/ Costs
/ Customer satisfaction
/ Customer services
/ Hedging
/ Inventory
/ Inventory control
/ Operations research
/ Optimization
/ Probability
/ Stochastic models
/ Studies
/ Supply chains
2004
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Inventory Control for Supply Chains with Service Level Constraints: A Synergy between Large Deviations and Perturbation Analysis
Journal Article
Inventory Control for Supply Chains with Service Level Constraints: A Synergy between Large Deviations and Perturbation Analysis
2004
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Overview
We consider a model of a supply chain consisting of n production facilities in tandem and producing a single product class. External demand is met from the finished goods inventory maintained in front of the most downstream facility (stage 1); unsatisfied demand is backlogged. We adopt a base-stock production policy at each stage of the supply chain, according to which the facility at stage i produces if inventory falls below a certain level wi and idles otherwise. We seek to optimize the hedging vector w=(w1,...,wn) to minimize expected inventory costs at all stages subject to maintaining the stockout probability at stage 1 below a prescribed level (service level constraint). We make rather general modeling assumptions on demand and production processes that include autocorrelated stochastic processes. We solve this stochastic optimization problem by combining analytical (large deviations) and sample path-based (perturbation analysis) techniques. We demonstrate that there is a natural synergy between these two approaches. [PUBLICATION ABSTRACT]
Publisher
Springer Nature B.V
Subject
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