Iterative combinatorial auctions for managing product transitions in semiconductor manufacturing. (2nd April 2020)

• Record Type: Journal Article
• Authors: Bansal, Ankit; Uzsoy, Reha; Kempf, Karl
• Is Part Of: IISE transactions. Volume 52:Number 4(2020)
• Page Start: 413
• Page End: 431
• Publication Date: 2020-04-02
• Subjects: Product transitions -- Lagrangian relaxation -- column generation -- iterative combinatorial auctions -- semiconductor manufacturing; Industrial engineering -- Periodicals; Systems engineering -- Periodicals; Industrial engineering; Systems engineering; Electronic journals; Periodicals; 670.285
• DOI: 10.1080/24725854.2019.1651951
• Languages: English
• ISSNs: 2472-5854

Abstract

Abstract: Successful management of product transitions in the semiconductor industry requires effective coordination of manufacturing and product development activities. Manufacturing units must meet demand for current products while also allocating capacity to product development units for prototype fabrication that will support timely introduction of new products into high-volume manufacturing. Knowledge of detailed operational constraints and capabilities is only available within each unit, precluding the use of a centralized planning model with complete information of all units. However, the decision support tools used by the individual units offer the possibility of a decentralized decision framework that uses these local models as components to rapidly obtain mutually acceptable, implementable solutions. We develop Iterative Combinatorial Auctions (ICAs) that achieve coordinated decisions for all units to maximize the firm's profit while motivating all units to share information truthfully. Computational results show that the ICA that uses column generation to update prices outperforms that using subgradient search, obtaining near-optimal corporate profit in low CPU times.