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The Construction of Optimal Design for Order-of-Addition Experiment via Threshold Accepting

In: Contemporary Experimental Design, Multivariate Analysis and Data Mining

Author

Listed:
  • Peter Winker

    (Justus-Liebig-University Giessen)

  • Jianbin Chen

    (Nankai University, School of Statistics and Data Science & LPMC)

  • Dennis K. J. Lin

    (Purdue University, Department of Statistics)

Abstract

The objective of the order-of-addition (OofA) experiment is to find the optimal addition order by comparing all responses with different orders. Assuming that the OofA experiment involves $$m (\ge 2)$$ components, there are m! different orders of adding sequence. When m is large, it is infeasible to compare all m! possible solutions (for example, $$10!\approx 3.6$$ millions). Two potential construction methods are systematic combinatorial construction and computer algorithmic search. Computer search methods presented in the literature for constructing optimal fractional designs of OofA experiments appear rather simplistic. In this paper, based on the pairwise-order (PWO) model and the tapered PWO model, the threshold accepting algorithm is applied to construct the optimal design (D-efficiency for the present application) with subsets of size n among all possible size m!. In practical, the designs obtained by threshold accepting algorithm for $$4 \le m\le 30$$ with $$n=m(m-1)/2+1, m(m-1)+1, 3m(m-1)/2+1$$ respectively are provided for practical uses. This is apparently the most complete list of order-of-addition (OofA) designs via computer search for $$4 \le m\le 30$$ in the literature. Their efficiencies are illustrated by a scheduling problem.

Suggested Citation

  • Peter Winker & Jianbin Chen & Dennis K. J. Lin, 2020. "The Construction of Optimal Design for Order-of-Addition Experiment via Threshold Accepting," Springer Books, in: Jianqing Fan & Jianxin Pan (ed.), Contemporary Experimental Design, Multivariate Analysis and Data Mining, chapter 0, pages 93-109, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-46161-4_6
    DOI: 10.1007/978-3-030-46161-4_6
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