A methodology for supply chain inventory analysis and optimization is presented by linking production authorization (PA) strategy to queueing models. For modelling issue, an integrated framework is provided. This framework regards a supply chain as a network of stores, which are considered as single-stage manufacturing facilities. The interdependencies between supply chain components can be captured by this framework. For analysis issue, first, a queueing model that incorporates production authorization strategy is developed for each store. Second, a network of inventory-queue models for entire supply network with inventory control at all stores is developed. Furthermore, an optimization model is introduced to improve the performance of the entire supply chain. This paper extends the previous work on the supply network model with base-stock control and service requirements. Instead of one-for-one base stock policy, batch-ordering policy and lot-sizing problems are considered. To determine the replenishment lead times of items at the stores, a fixed-batch target-level production authorization mechanism is employed to explicitly obtain performance measures of the supply chain queueing model. The validity of the proposed model is illustrated by comparing the results from the analytical performance evaluation model and those obtained from the simulation study.
[1]
John A. Buzacott,et al.
Stochastic models of manufacturing systems
,
1993
.
[2]
David D. Yao,et al.
A Supply Network Model with Base-Stock Control and Service Requirements
,
2000,
Oper. Res..
[3]
Ronald W. Wolff,et al.
Stochastic Modeling and the Theory of Queues
,
1989
.
[4]
Ming Dong.
Process Modeling, Performance Analysis and Configuration Simulation in Integrated Supply Chain Network Design
,
2001
.
[5]
Julio C. Martínez,et al.
EZStrobe-general-purpose simulation system based on activity cycle diagrams
,
1998,
Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).
[6]
Amit Garg.
An application of designing products and processes for supply chain management
,
1999
.
[7]
Hau L. Lee,et al.
Material Management in Decentralized Supply Chains
,
1993,
Oper. Res..
[8]
J. A. Buzacott,et al.
Queueing models of Kanban and MRP controlled production systems
,
1989
.
[9]
R. John Milne,et al.
Literature review of material flow control mechanisms
,
1995
.