Inventory write-down prediction for semiconductor manufacturing considering inventory age, accounting principle, and product structure with real settings

The International Financial Reporting Standards (IFRS) No. 2 has been the worldwide accounting principle for the reduction of inventory to market allowance since January 1, 2005. Using make-to-stock manufacturing strategies and inventory accounting for only approximately 14% of the total costs, integrated device manufacturers have found maintaining robust records for financial statements increasingly difficult. For example, one company in the case study conducted in this study must write-down losses of 2-100% of the total inventory costs for products with inventory ages of 18months-3years. However, the average cycle time for producing flash memory is approximately 3months. In other words, when the system variation and safety stock policy are considered, the company must write-down the reduction of inventory to market allowance for most of work-in-process inventory. However, little research has been done to addressing the practical management of operations according to inventory aging processes. This study develops a polynomial-time-based model to obtain significant features, including inventory ages, accounting principles, and product structures (bill of material), for the accurate prediction of inventory write-downs to reduce the impact of the carrying value fluctuation of inventory. An empirical study was conducted on a Taiwanese semiconductor manufacturer. The results show that predicting 3-month inventory write-downs of a complete flash memory production line comprising approximately 8500 product types can be conducted in less than 10s, with the mean absolute percentage error (MAPE) less than 3.5%. Discussions regarding the sensitivity analysis and cost tornado diagrams suggest the priority of affecting factors. The results show the viability of implementing the proposed model to predict inventory write-downs in the semiconductor manufacturing industry.

[1]  Yiannis Gabriel,et al.  Logistics of Production and Inventory , 1993, Handbooks in Operations Research and Management Science.

[2]  Herbert E. Scarf,et al.  Optimal Policies for a Multi-Echelon Inventory Problem , 1960, Manag. Sci..

[3]  Chen-Fu Chien,et al.  Modeling semiconductor testing job scheduling and dynamic testing machine configuration , 2008, Expert Syst. Appl..

[4]  Gary D. Scudder,et al.  Supply Chain Strategies for Perishable Products: The Case of Fresh Produce , 2009 .

[5]  Reha Uzsoy,et al.  Modeling and analysis of semiconductor manufacturing in a shrinking world: Challenges and successes , 2008, 2008 Winter Simulation Conference.

[6]  David D. Yao,et al.  Inventory Allocation at a Semiconductor Company , 2002 .

[7]  Chen-Fu Chien,et al.  Mini–max regret strategy for robust capacity expansion decisions in semiconductor manufacturing , 2012, J. Intell. Manuf..

[8]  Roger Hussey.  COST & MANAGEMENT ACCOUNTING , 1989 .

[9]  Chen-Fu Chien,et al.  Manufacturing intelligence for semiconductor demand forecast based on technology diffusion and product life cycle , 2010 .

[10]  Burton Simon,et al.  Optimal Control of an Inventory with Simultaneous Obsolescence , 2007, Interfaces.

[11]  Chen-Fu Chien,et al.  Modeling order assignment for semiconductor assembly hierarchical outsourcing and developing the decision support system , 2010 .

[12]  Chen-Fu Chien,et al.  UNISON analysis to model and reduce step-and-scan overlay errors for semiconductor manufacturing , 2011, J. Intell. Manuf..

[13]  P. Gurusamy Dr. P. Gurusamy,et al.  International Financial Reporting Standards (IFRS) , 2011 .

[14]  Mehmet Mutlu Yenisey.  A flow-network approach for equilibrium of material requirements planning , 2006 .

[15]  Chen-Fu Chien,et al.  A two-stage stochastic programming approach for new tape-out allocation decisions for demand fulfillment planning in semiconductor manufacturing , 2013 .

[16]  Michael Pecht,et al.  Electronic part life cycle concepts and obsolescence forecasting , 2000 .

[17]  Paul R. Kleindorfer,et al.  Near-Optimal Service Constrained Stocking Policies for Spare Parts , 1989, Oper. Res..

[18]  R. John Milne,et al.  IBM Solves a Mixed-Integer Program to Optimize Its Semiconductor Supply Chain , 2006, Interfaces.

[19]  Marlene Plumlee,et al.  International Financial Reporting Standards , 2009 .

[20]  Gianpaolo Callioni,et al.  Inventory-driven costs. , 2005, Harvard business review.

[21]  Chen-Fu Chien,et al.  Manufacturing Intelligence to Exploit the Value of Production and Tool Data to Reduce Cycle Time , 2011, IEEE Transactions on Automation Science and Engineering.

[22]  Emmett J. Lodree,et al.  Production planning for a deteriorating item with stochastic demand and consumer choice , 2008 .

[23]  Chen-Fu Chien.  Made in Taiwan: Shifting Paradigms in High-tech Industries , 2007 .

[24]  Fred Raafat,et al.  Survey of Literature on Continuously Deteriorating Inventory Models , 1991 .

[25]  Shengwei Ding,et al.  Economic Efficiency Analysis of Wafer Fabrication , 2007, IEEE Transactions on Automation Science and Engineering.

[26]  Jing-Sheng Song,et al.  Managing Inventory with the Prospect of Obsolescence , 1996, Oper. Res..

[27]  Don R. Hansen,et al.  Cost management : accounting & control , 2006 .

[28]  Ana M. Aizcorbe,et al.  Why Are Semiconductor Price Indexes Falling So Fast?: Industry Estimates and Implications for Productivity Measurement , 2013 .

[29]  Chen-Fu Chien,et al.  Constructing the OGE for promoting tool group productivity in semiconductor manufacturing , 2007 .

[30]  Ana M. Aizcorbe,et al.  Why Are Semiconductor Prices Falling So Fast ? Industry Estimates and Implications for Productivity Measurement , 2002 .

[31]  Graham K. Rand,et al.  Logistics of Production and Inventory , 1995 .

[32]  Hui Chen,et al.  Inventory Write-Downs in the Semiconductor Industry , 2015 .

[33]  Alan Scheller-Wolf,et al.  Managing Perishables with Substitution: Inventory Issuance and Replenishment Heuristics , 2010, Manuf. Serv. Oper. Manag..

[34]  S. Hohmann.  The Bullwhip Effect in Supply Chains , 2014 .

[35]  Elliot Rabinovich,et al.  Assessing the Effects of Operational Processes and Information Systems on Inventory Performance , 2006 .

[36]  Mark E. Ferguson,et al.  How Should a Firm Manage Deteriorating Inventory , 2009 .

[37]  Chen-Fu Chien,et al.  Modeling strategic semiconductor assembly outsourcing decisions based on empirical settings , 2008, OR Spectr..

[38]  Chen-Fu Chien,et al.  A multi-period inventory model to incorporate with inventory age, accounting principle, and product structure: A case study in a make-to-stock semiconductor integrated device manufacturer , 2010, The 40th International Conference on Computers & Indutrial Engineering.