Unified Modelling Framework of Multi-Stage Production-Inventory Control Policies with Lot Sizing and Advance Demand Information

Liberopoulos, George; Tsikis, Isidoros

doi:10.1007/978-1-4615-0373-6_11

Cited by 15 publications

(6 citation statements)

References 9 publications

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“…The EKCS may be extended to batch production and time delays in the issuance of demand notices. Liberopoulos and Dallery (2000) have developed a unified framework for defining pull-type control mechanisms. Four basic-stage coordination systems (Base Stock, Kanban, GKCS, and EKCS) are presented under a unified definition, and a local mechanism is superimposed to control WIP within each stage.…”

Section: Unified Modeling Frameworkmentioning

confidence: 99%

“…They note that this echelon Kanban policy is equivalent to the integral control policy discussed in Buzacott and Shanthikumar (1993) with unit lot sizes. Liberopoulos and Tsikis (2003) expand the modeling framework to include the definition of policies that use advance demand information (ADI). One of these policies is equivalent to the PAC system.…”

Section: Introductionmentioning

confidence: 99%

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A Framework for Analysis of Production Authorization Card‐Controlled Production Systems

MacDonald¹,

Gunn²

2011

Production and Operations Management

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A framework for the analysis of manufacturing systems operating under a production authorization card (PAC) system is outlined. The PAC system provides a single model, which encompasses a broad variety of control strategies, including Kanban and CONWIP. This paper describes a framework for the performance analysis and comparison of both specific and families of control strategies. The framework starts with system performance measures estimated by simulation. These simulations in turn provide training data for neural network metamodels. The metamodels allow for a variety of analysis and optimization approaches, including the construction of optimal policy curves, which can provide considerable insight into the systems under study.

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Section: Unified Modeling Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Framework for Analysis of Production Authorization Card‐Controlled Production Systems

MacDonald¹,

Gunn²

2011

Production and Operations Management

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“…This information is called advanced demand information, which is abbreviated as ADI. Liberopoulos and Tsikis (6) have analyzed a tandem production line controlled by kanban and base stock policies with advanced demand information. In Nakade and Hiraiwa (7) , a join-type production line with advanced demand information in continuous time have been proposed, and it is shown that controlling the initial inventory and the estimated production lead time appropriately reduces the fraction of backlogs with a little increase on the amount of finished products.…”

Section: Introductionmentioning

confidence: 99%

Base Stock Policy in a Join-Type Production Line with Advanced Demand Information

Hiraiwa

Tsubouchi

Nakade

2007

JAMDSM

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Production control such as the base stock policy, the kanban policy and the constant work-in-process policy in a serial production line has been studied by many researchers. Production lines, however, usually have fork-type, join-type or network-type figures. In addition, in most previous studies on production control, a finished product is required at the same time as arrival of demand at the system. Demand information is, however, informed before due date in practice. In this paper a join-type (assembly) production line under base stock control with advanced demand information in discrete time is analyzed. The recursive equations for the work-in-process are derived. The heuristic algorithm for finding appropriate base stock levels of all machines at short time is proposed and the effect of advanced demand information is examined by simulation with the proposed algorithm. It is shown that the inventory cost can decreases with little backlogs by using the appropriate amount of demand information and setting appropriate base stock levels.

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“…For a corresponding two-stage system, Liberopoulos and Koukoumialos (2003) present a simulation-based investigation of WIP-controlled BSADI policies for single-stage and two-stage make-to-stock systems. Liberopoulos and Tsikis (2003) present a modeling framework for multi-stage systems with advance demand information. Their framework also addresses lot sizing issues in this context.…”

Section: Literature Reviewmentioning

confidence: 99%

The Value of Advance Demand Information in Production/Inventory Systems

Karaesmen

Liberopoulos

Dallery

2004

Annals of Operations Research

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Abstract. Advance demand information, when used effectively, improves the performance of production/inventory systems. In this paper, we investigate the value of advance demand information in production/inventory systems. For a single-stage make-to-stock queue, we assess the value of using advance demand information under a variety of assumptions on the cost of obtaining advance demand information, and the delivery timing requirements. This analysis enables us to identify conditions under which advance demand information may bring significant benefits.

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Unified Modelling Framework of Multi-Stage Production-Inventory Control Policies with Lot Sizing and Advance Demand Information

Cited by 15 publications

References 9 publications

A Framework for Analysis of Production Authorization Card‐Controlled Production Systems

A Framework for Analysis of Production Authorization Card‐Controlled Production Systems

Base Stock Policy in a Join-Type Production Line with Advanced Demand Information

The Value of Advance Demand Information in Production/Inventory Systems

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