Modelling and analysis of semiconductor manufacturing in a shrinking world: challenges and successes

Chien, Chen–Fu; Dauzère‐Pérès, Stéphane; Ehm, Hans; Fowler, John W.; Jiang, Zhibin; Krishnaswamy, Shekar; Lee, Tae-Eog; Mönch, Lars; Uzsoy, Reha

doi:10.1504/ejie.2011.041616

Cited by 73 publications

(9 citation statements)

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“…Chien et al [5] name another reason for the added complexity, caused by the fact that front-end operations are often performed in highly industrialized nations, while back-end operations are typically carried out in countries where labor rates are cheaper.…”

Section: Literature Reviewmentioning

confidence: 99%

Global Optimization of a Semiconductor IC Supply Chain Network

Kalir¹,

Grosbard²

2017

JSSM

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In this paper we develop a framework for the semiconductor manufacturing process, including front-end (fab) operations and backend (assembly/test) operations. We then propose a Quadratic Programming (QP) formulation for the profit maximizing objective with flexible demand and price ranges (per product) and fab capacities. We demonstrate the model by applying it to a case study that is based on a real-world (distorted) dataset and show how the solution varies between a local optimization of a single fab (for minimum wafer cost) and a globally optimal solution for maximum profit of a network of fabs.

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Section: Literature Reviewmentioning

confidence: 99%

Global Optimization of a Semiconductor IC Supply Chain Network

Kalir¹,

Grosbard²

2017

JSSM

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“…Limiting production capacity disturbs production lines with significant economic consequences (Johnzén, Dauzère-Peres and Vialletelle 2011;Mönch et al, 2011;Kabak et al 2013). So coordinating the various components or levers of processability is tricky because of the impact on quality on one hand and on capacity (hence delivery) on the other hand.…”

Section: Process Restrictionmentioning

confidence: 99%

“…With the everincreasing automation of manufacturing and decisional processes, information systems are now at the heart of the enterprise operations. This situation is more striking in the semiconductor industry characterized by the complexity of the production environment (Mönch et al 2011;Chien et al 2011). This is due to the high degree of automation of its production processes and functional convergence of its various businesses (Dauzère-Pérès, Yugma, and Sarin 2011).…”

Section: Introductionmentioning

confidence: 99%

Modeling complex processability constraints in high-mix semiconductor manufacturing

Amira¹,

Lepelletier²,

Vialletelle³

et al. 2013

2013 Winter Simulations Conference (WSC)

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In semiconductor high-mix fabs, several technology nodes are run on the same line, using tool types from different generations. In this context, processability is a function defining which products can be processed on a given machine considering the current status of both the product and the machine. So in a high-mix context, having an information system that provides reliable information on processability and that can support the evolution of processability rules is fundamental. In this paper, we analyze the key elements for such a system. Based on the example of the implementation of fab constraints at STMicroelectronics' Crolles300 production unit, we illustrate the consequences of the integration of new processability rules and propose flexible and agile UML class diagrams enabling information system to meet evolution requirements. The approach is validated on real fab data, and its impact is discussed.

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“…The main complexity drivers of this specific type of manufacturing are (Aelker et al 2013;Chien et al 2011;Keil 2012;Mönch and Yugma 2012):…”

Section: Identifying Complexity-inducing Variety: 1 Introductionmentioning

confidence: 99%