Feedback method of production ordering system in multi-stage production and inventory systems

Takahashi, K.; Muramatsu, Rintaro; Ishii, Kazuyoshi

doi:10.1080/00207548708919885

Cited by 15 publications

(9 citation statements)

References 10 publications

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“…1991 In condition (I), the mean and variance of product demand are fixed at a certain value, and the autocorrelation parameter is varied from 0·0 to 0,8, that is, from an independent time series to a strongly autocorrelated time series. At the same time, as the autocorrelation parameter increases, the variance of the forecasting error increases (Takahashi et al 1987)thus increasing the influence of the forecasting error upon the amplifications.…”

Section: Methods Of Analysismentioning

confidence: 99%

“…At first, we discuss the influence of the backlog in push-type production ordering systems (Takahashi et al 1987).…”

Section: / Nj/uences Uf the Backlogmentioning

confidence: 99%

“…Two models of push-type systems are considered with different feedback information as follows (Takahashi et al 1987 …”

Section: Push-type Production Ordering Systemsmentioning

confidence: 99%

“…Takahashi et al (1987) studied the differences of feedback information. In order to examine the flexibility of pull-type production ordering systems, Kimura and Terada (1981) studied the influence of the order unit, and Hiraki et al (1989) studied the influence of transportation lead time.…”

Section: Introductionmentioning

confidence: 99%

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Flexibility of production ordering systems

Takahashi

Hiraki

Soshiroda

1994

International Journal of Production Research

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The flexibilityof production ordering systems as medium range production control systems are studied. The changes affecting flexibility, production ordering systems as responses to changes, and the performance measures of flexibility are clarified. On the basis of this framework, mathematical models of production system and production ordering systems are developed to evaluate their flexibility. Two types of changes are considered: demand fluctuation and downtime fluctuation due to machine breakdown, and two models for 'push-type' and 'pull-type' production ordering systems are investigated. By simulating the models, the amplifications of production quantities and inventory levels as flexibility measures for each type of production ordering system are analysed and the flexibility compared.

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Section: Methods Of Analysismentioning

confidence: 99%

“…At first, we discuss the influence of the backlog in push-type production ordering systems (Takahashi et al 1987).…”

Section: / Nj/uences Uf the Backlogmentioning

confidence: 99%

“…Two models of push-type systems are considered with different feedback information as follows (Takahashi et al 1987 …”

Section: Push-type Production Ordering Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Flexibility of production ordering systems

Takahashi

Hiraki

Soshiroda

1994

International Journal of Production Research

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“…Sterman, 1989;Slats et al, 1995;Lee and Billington, 1993) is beneficial because it provides managerial insights under mild assumptions. Another line of research concentrates on identifying design or operational policies that help to avoid undesired supply chain behavior (Takahashi et al, 1987;Towill, 1992;Lee, 1996).…”

Section: Introductionmentioning

confidence: 99%

Demand Propagation in ERP Integrated Assembly Supply Chains: Theoretical Models and Empirical Results

Meixell

Applied Optimization

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A b s t r a c tThis chapter studies supply chain demand propagation in an ERPintegrated manufacturing environment, where item demands are interrelated by their assembly structure. The integrated planning environment is commonplace in industries such as automotive and electronics, where detailed production and material requirements decisions are communicated electronically between facilities and then refreshed frequently. While tightly integrated supply chains have clear benefits, distortion can occur in the demand signals between the facilities that assemble end-items and those that manufacture sub-assemblies and components. Using both analytical and empirical tools, we explore an ERP model using basic lot-sizing logic under fairly general settings. We examine key factors that influence demand variation in the assembly supply chain, assess their effects, and develop insight into the underlying supply processes. We find that (1) order batching by downstream facilities plays a principal role in upstream demand amplification, (2) the commonly used schedule release policy in ERP systems may cause unnecessary nervousness in the supply chain, (3) the interplay of component shar-

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Effect of the Standardization of the Hierarchy Parts Structure of a Product (SHPSP) on Production Ordering and Inventory Levels

Ishii¹,

Suminokura²

1991

Modern Production Concepts

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Feedback method of production ordering system in multi-stage production and inventory systems

Cited by 15 publications

References 10 publications

Flexibility of production ordering systems

Flexibility of production ordering systems

Demand Propagation in ERP Integrated Assembly Supply Chains: Theoretical Models and Empirical Results

Effect of the Standardization of the Hierarchy Parts Structure of a Product (SHPSP) on Production Ordering and Inventory Levels

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