IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v109y2007i1-2p105-121.html
   My bibliography  Save this article

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

Author

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

Abstract

No abstract is available for this item.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925-5273(06)00356-2
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hashem Omrani & Farzane Adabi & Narges Adabi, 2017. "Designing an efficient supply chain network with uncertain data: a robust optimization—data envelopment analysis approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(7), pages 816-828, July.
    2. M. Shakibayifar & A. Sheikholeslami & F. Corman & E. Hassannayebi, 2020. "An integrated rescheduling model for minimizing train delays in the case of line blockage," Operational Research, Springer, vol. 20(1), pages 59-87, March.
    3. Tsai, Jung-Fa, 2007. "An optimization approach for supply chain management models with quantity discount policy," European Journal of Operational Research, Elsevier, vol. 177(2), pages 982-994, March.
    4. Jolanta Žemgulienė & Mantas Valukonis, 2018. "Structured literature review on business process performance analysis and evaluation," Post-Print hal-02121157, HAL.
    5. Antonio G. Martín & Manuel Díaz-Madroñero & Josefa Mula, 2020. "Master production schedule using robust optimization approaches in an automobile second-tier supplier," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(1), pages 143-166, March.
    6. Yulei Xie & Linrui Wang & Guohe Huang & Dehong Xia & Ling Ji, 2018. "A Stochastic Inexact Robust Model for Regional Energy System Management and Emission Reduction Potential Analysis—A Case Study of Zibo City, China," Energies, MDPI, vol. 11(8), pages 1-24, August.
    7. Seyed Babak Ebrahimi & Ehsan Bagheri, 2022. "A multi-objective formulation for the closed-loop plastic supply chain under uncertainty," Operational Research, Springer, vol. 22(5), pages 4725-4768, November.
    8. Lai, K.K. & Wang, Ming & Liang, L., 2007. "A stochastic approach to professional services firms' revenue optimization," European Journal of Operational Research, Elsevier, vol. 182(3), pages 971-982, November.
    9. Yaser Taghinezhad, 2019. "Optimisation model for a chain logistics problem involving chilled food under conditions of uncertainty," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 29(2), pages 103-116.
    10. João Flávio de Freitas Almeida & Samuel Vieira Conceição & Luiz Ricardo Pinto & Ricardo Saraiva de Camargo & Gilberto de Miranda Júnior, 2018. "Flexibility evaluation of multiechelon supply chains," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-27, March.
    11. Golpîra, Hêriş & Khan, Syed Abdul Rehman, 2019. "A multi-objective risk-based robust optimization approach to energy management in smart residential buildings under combined demand and supply uncertainty," Energy, Elsevier, vol. 170(C), pages 1113-1129.
    12. Erfan Hassannayebi & Seyed Hessameddin Zegordi & Mohammad Reza Amin-Naseri & Masoud Yaghini, 2017. "Train timetabling at rapid rail transit lines: a robust multi-objective stochastic programming approach," Operational Research, Springer, vol. 17(2), pages 435-477, July.
    13. Kalloniatis, Alexander C. & McLennan-Smith, Timothy A. & Roberts, Dale O., 2020. "Modelling distributed decision-making in Command and Control using stochastic network synchronisation," European Journal of Operational Research, Elsevier, vol. 284(2), pages 588-603.
    14. Manda, A.B. & Uzsoy, Reha, 2021. "Managing product transitions with learning and congestion effects," International Journal of Production Economics, Elsevier, vol. 239(C).
    15. Pedro Antunes & Jose A. Pino & Mary Tate & Alistair Barros, 0. "Eliciting Process Knowledge Through Process Stories," Information Systems Frontiers, Springer, vol. 0, pages 1-23.
    16. Xu, Y. & Huang, G.H. & Qin, X.S. & Cao, M.F., 2009. "SRCCP: A stochastic robust chance-constrained programming model for municipal solid waste management under uncertainty," Resources, Conservation & Recycling, Elsevier, vol. 53(6), pages 352-363.
    17. Azaron, A. & Brown, K.N. & Tarim, S.A. & Modarres, M., 2008. "A multi-objective stochastic programming approach for supply chain design considering risk," International Journal of Production Economics, Elsevier, vol. 116(1), pages 129-138, November.
    18. Xie, Y.L. & Huang, G.H. & Li, W. & Ji, L., 2014. "Carbon and air pollutants constrained energy planning for clean power generation with a robust optimization model—A case study of Jining City, China," Applied Energy, Elsevier, vol. 136(C), pages 150-167.
    19. Aalaei, Amin & Davoudpour, Hamid, 2017. "A robust optimization model for cellular manufacturing system into supply chain management," International Journal of Production Economics, Elsevier, vol. 183(PC), pages 667-679.
    20. K. Taghizadeh & M. Bagherpour & I. Mahdavi, 2011. "An interactive fuzzy goal programming approach for multi-period multi-product production planning problem," Fuzzy Information and Engineering, Springer, vol. 3(4), pages 393-410, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:109:y:2007:i:1-2:p:105-121. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.