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Deciding product mix based on time-driven activity-based costing by mixed integer programming


  • Zheng-Yun Zhuang

    () (Zhejiang University)

  • Shu-Chin Chang

    () (Chung Yuan Christian University)


Abstract To determine a product mix for a production process, this study proposes a mixed-integer programming (MIP) model, based on the time-driven activity-based costing (TDABC) accounting system. By using a time driver from the resource to the cost objects and simultaneously dealing with numerous resource limitations, the model obtains a global optimal decision. The model highlights the difference between supply and the use of the capacity. It avoids some possible limitations of the programming modeling approach when theory of constraints (TOC) or activity-based-costing (ABC) is used. The model is illustrated using a numerical example. In the form of a budgeted income statement, the results for the formulated MIP models that use TOC, ABC and TDABC are compared, in terms of resource-used-based profit, resource-supplied-based profit and cash flow. The proposed MIP model that uses TDABC is shown to support a product mix decision, on which studies of TDABC seldom focus. Implications for the use of this accounting system adoption to determine product-mix are detailed.

Suggested Citation

  • Zheng-Yun Zhuang & Shu-Chin Chang, 2017. "Deciding product mix based on time-driven activity-based costing by mixed integer programming," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 959-974, April.
  • Handle: RePEc:spr:joinma:v:28:y:2017:i:4:d:10.1007_s10845-014-1032-2
    DOI: 10.1007/s10845-014-1032-2

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    References listed on IDEAS

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    7. Shapiro, Jeremy F., 1999. "On the connections among activity-based costing, mathematical programming models for analyzing strategic decisions, and the resource-based view of the firm," European Journal of Operational Research, Elsevier, vol. 118(2), pages 295-314, October.
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