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Empirical validation of an activity-based optimization system

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  • Singer, Marcos
  • Donoso, Patricio

Abstract

We present an optimization model for steel manufacturing, whose objective function depends on activity-based costing (ABC). The constraints describe the capacity and the material balance, the product-dependent yield and the electrical balance, for all the activities of the plant. For the model to be reliable, one should validate that it accurately expresses the objective function of the user, and that it defines with precision the constraints that determine the feasible solutions. We validate the cost estimation by empirically testing how accurately it can predict future expenditures. We validate the constraints by comparing the polyhedron they generate with the production possibility set obtained with data envelopment analysis (DEA). We show the model implemented and validated in a Chilean steel manufacturer. The tests prove the model reliable enough for defining the product mix, and for evaluating investments and sourcing alternatives.

Suggested Citation

  • Singer, Marcos & Donoso, Patricio, 2008. "Empirical validation of an activity-based optimization system," International Journal of Production Economics, Elsevier, vol. 113(1), pages 335-345, May.
  • Handle: RePEc:eee:proeco:v:113:y:2008:i:1:p:335-345
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    1. Tsai, Wen-Hsien & Lai, Chien-Wen & Tseng, Li-Jung & Chou, Wen-Chin, 2008. "Embedding management discretionary power into an ABC model for a joint products mix decision," International Journal of Production Economics, Elsevier, vol. 115(1), pages 210-220, September.
    2. Askarany, Davood & Yazdifar, Hassan & Askary, Saeed, 2010. "Supply chain management, activity-based costing and organisational factors," International Journal of Production Economics, Elsevier, vol. 127(2), pages 238-248, October.
    3. Fukuyama, Hirofumi & Song, Yao-yao & Ren, Xian-tong & Yang, Guo-liang, 2022. "Using a novel DEA-based model to investigate capacity utilization of Chinese firms," Omega, Elsevier, vol. 106(C).
    4. Fukuyama, Hirofumi & Liu, Hui-hui & Song, Yao-yao & Yang, Guo-liang, 2021. "Measuring the capacity utilization of the 48 largest iron and steel enterprises in China," European Journal of Operational Research, Elsevier, vol. 288(2), pages 648-665.
    5. Askarany, Davood & Yazdifar, Hassan, 2012. "An investigation into the mixed reported adoption rates for ABC: Evidence from Australia, New Zealand and the UK," International Journal of Production Economics, Elsevier, vol. 135(1), pages 430-439.

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