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Optimisation of business process designs: An algorithmic approach with multiple objectives

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  • Vergidis, K.
  • Tiwari, A.
  • Majeed, B.
  • Roy, R.

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  • Vergidis, K. & Tiwari, A. & Majeed, B. & Roy, R., 2007. "Optimisation of business process designs: An algorithmic approach with multiple objectives," International Journal of Production Economics, Elsevier, vol. 109(1-2), pages 105-121, September.
  • Handle: RePEc:eee:proeco:v:109:y:2007:i:1-2:p:105-121
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    References listed on IDEAS

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    1. Vaughan, Timothy S., 2006. "Lot size effects on process lead time, lead time demand, and safety stock," International Journal of Production Economics, Elsevier, vol. 100(1), pages 1-9, March.
    2. Yu, Chian-Son & Li, Han-Lin, 2000. "A robust optimization model for stochastic logistic problems," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 385-397, March.
    3. Aguilar-Saven, R.S.Ruth Sara, 2004. "Business process modelling: Review and framework," International Journal of Production Economics, Elsevier, vol. 90(2), pages 129-149, July.
    4. Byrne, M.D. & Hossain, M.M., 2005. "Production planning: An improved hybrid approach," International Journal of Production Economics, Elsevier, vol. 93(1), pages 225-229, January.
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    Citations

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    Cited by:

    1. Patrick Afflerbach & Martin Hohendorf & Jonas Manderscheid, 2017. "Design it like Darwin - A value-based application of evolutionary algorithms for proper and unambiguous business process redesign," Information Systems Frontiers, Springer, vol. 19(5), pages 1101-1121, October.
    2. Tsai, Chi-Yang & Yeh, Szu-Wei, 2008. "A multiple objective particle swarm optimization approach for inventory classification," International Journal of Production Economics, Elsevier, vol. 114(2), pages 656-666, August.
    3. Hans Buhl & Maximilian Röglinger & Stefan Stöckl & Kathrin Braunwarth, 2011. "Value Orientation in Process Management," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 3(3), pages 163-172, June.
    4. Ren, Hongbo & Zhou, Weisheng & Nakagami, Ken'ichi & Gao, Weijun & Wu, Qiong, 2010. "Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects," Applied Energy, Elsevier, vol. 87(12), pages 3642-3651, December.
    5. Patrick Afflerbach & Martin Hohendorf & Jonas Manderscheid, 0. "Design it like Darwin - A value-based application of evolutionary algorithms for proper and unambiguous business process redesign," Information Systems Frontiers, Springer, vol. 0, pages 1-21.
    6. Peter De Bruyn & Herwig Mannaert & Jan Verelst & Philip Huysmans, 2018. "Enabling Normalized Systems in Practice – Exploring a Modeling Approach," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(1), pages 55-67, February.
    7. Bag, Surajit & Yadav, Gunjan & Wood, Lincoln C. & Dhamija, Pavitra & Joshi, Sudhanshu, 2020. "Industry 4.0 and the circular economy: Resource melioration in logistics," Resources Policy, Elsevier, vol. 68(C).
    8. Nearchou, Andreas C., 2011. "Maximizing production rate and workload smoothing in assembly lines using particle swarm optimization," International Journal of Production Economics, Elsevier, vol. 129(2), pages 242-250, February.

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