Expert systems for inventory control management

Sinha, Diptendu; Ghiaseddin, Nasir; Matta, Khalil F.

doi:10.1016/0360-8352(89)90099-5

Cited by 5 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Floyd [30] used a model-based decision support system to aid manufacturing managers with inventory and production control decisions. Sinha [32] developed an expert system that focused on providing a tool that managers could use to increase the effectiveness of their inventory control systems. Others developed models focused on special circumstances of inventory situations [24,31,33,34,35,36,37].…”

Section: Inventory Control Simulationmentioning

confidence: 99%

A Simulation Model for Multi-Product Inventory Control Management

Badri

1999

SIMULATION

View full text Add to dashboard Cite

A simulation based-decision support system for multi-product inventory control management is developed. The system permits management to obtain an inventory system-wide view of the effect of changes in decision variables on the performance measures of a furniture manufacturing firm. The simulation model considers the effect of variations in demand, re-order point, stock-control level, time between reviews, and lead time. The decision support system generates policy scenarios based on management specifications. The effect of each scenario on system performance is then analysed. A set of search methods is combined with the DSS to aid in the optimisation process. The developed network consists of three basic sub-networks. The first sub-network represents the demand, back- order, and stock components of the system. The second network represents the periodic review process with stock control levels for each product. The third sub-network performs profit and cost calculations under normal circumstances and when lost sales are present.

show abstract

Section: Inventory Control Simulationmentioning

confidence: 99%

A Simulation Model for Multi-Product Inventory Control Management

Badri

1999

SIMULATION

View full text Add to dashboard Cite

show abstract

“…The current applications of expert systems have demonstrated quite successful results in terms of better decision making (Bramer, 1988;Land and Hickman, 1993;Buchanan, 1986). In order to reap the benefits of this technology some inventory expert systems have been developed since 1988, to help manage large-scale inventories (Sinha et al, 1989;Parlar, 1989;Hosseini et al, 1988;Luxhoj et al, 1993). These efforts have engendered widespread hopes of effective computer solutions to inventory problems.…”

Section: Introductionmentioning

confidence: 99%

“…There were no inventory models included in Sinha et al's (1989) conceptual system and Parlar's (1989) system. Sinha et al (1989) presented a conceptual design of an inventory expert system but did not build an actual model base. The knowledge base in Parlar's (1989) system is only a collection of inventory bibliography to help users to find inventory models in papers and books.…”

Section: Introductionmentioning

confidence: 99%

Towards the development of an intelligent inventory management system

Kobbacy

Liang

1999

Integrated Manufacturing Systems

View full text Add to dashboard Cite

This paper is concerned with the development of an intelligent inventory management system which aims at bridging the substantial gap between the theory and the practice of inventory management. The proposed system attempts to achieve this by providing automatic demand and lead time pattern identification and model selection facilities. The process of demand pattern identification together with the statistical tests used is discussed. The models incorporated cover deterministic demand models including: constant, quasi-constant, trended and seasonal demand as well as stochastic demand models. This paper includes an empirical evaluation of the system on real data from the manufacturing and airline industries which shows that this system can lead to significant savings in inventory cost.

show abstract