IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v137y2012i2p226-234.html
   My bibliography  Save this article

Optimal position of supply chain delivery window: Concepts and general conditions

Author

Listed:
  • Bushuev, Maxim A.
  • Guiffrida, Alfred L.

Abstract

The paper introduces a concept of the optimal positioning of the delivery window to the final customer in a serial supply chain. Optimally positioning the delivery window minimizes the expected penalty cost due to early and late delivery. The conditions for the optimal position of the delivery window are derived for the general form of a delivery time distribution. Closed form expressions for the optimal position of the delivery window are presented for several different forms of delivery time distributions that have been reported in the literature to model delivery performance. The optimal positioning of a delivery window is illustrated for an industrial case study.

Suggested Citation

  • Bushuev, Maxim A. & Guiffrida, Alfred L., 2012. "Optimal position of supply chain delivery window: Concepts and general conditions," International Journal of Production Economics, Elsevier, vol. 137(2), pages 226-234.
    • Handle: RePEc:eee:proeco:v:137:y:2012:i:2:p:226-234
    DOI: 10.1016/j.ijpe.2012.01.039
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527312000540
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2012.01.039?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Ernst, Ricardo & Kamrad, Bardia & Ord, Keith, 2007. "Delivery performance in vendor selection decisions," European Journal of Operational Research, Elsevier, vol. 176(1), pages 534-541, January.
    2. Morgan, C. & Dewhurst, A., 2008. "Multiple retailer supplier performance: An exploratory investigation into using SPC techniques," International Journal of Production Economics, Elsevier, vol. 111(1), pages 13-26, January.
    3. Guiffrida, Alfred L. & Nagi, Rakesh, 2006. "Cost characterizations of supply chain delivery performance," International Journal of Production Economics, Elsevier, vol. 102(1), pages 22-36, July.
    4. He, Xin James & Kim, Jeon G. & Hayya, Jack C., 2005. "The cost of lead-time variability: The case of the exponential distribution," International Journal of Production Economics, Elsevier, vol. 97(2), pages 130-142, August.
    5. Helena Forslund & Patrik Jonsson & Stig‐Arne Mattsson, 2009. "Order‐to‐delivery process performance in delivery scheduling environments," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 58(1), pages 41-53, January.
    6. Yeung, Wing-Kwan & Choi, Tsan-Ming & Cheng, T.C.E., 2011. "Supply chain scheduling and coordination with dual delivery modes and inventory storage cost," International Journal of Production Economics, Elsevier, vol. 132(2), pages 223-229, August.
    7. Dondo, Rodolfo & Cerda, Jaime, 2007. "A cluster-based optimization approach for the multi-depot heterogeneous fleet vehicle routing problem with time windows," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1478-1507, February.
    8. Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
    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. Om Prakash Mishra & Vikas Kumar & Dixit Garg, 2018. "Performance evaluation of JIT enabled SCM using ANP method," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(2), pages 547-558, April.
    2. Chia-Nan Wang & Nhat-Luong Nhieu & Yu-Chi Chung & Huynh-Tram Pham, 2021. "Multi-Objective Optimization Models for Sustainable Perishable Intermodal Multi-Product Networks with Delivery Time Window," Mathematics, MDPI, vol. 9(4), pages 1-25, February.
    3. Hossain, Md Shahriar J. & Ohaiba, Mohamed M. & Sarker, Bhaba R., 2017. "An optimal vendor-buyer cooperative policy under generalized lead-time distribution with penalty cost for delivery lateness," International Journal of Production Economics, Elsevier, vol. 188(C), pages 50-62.
    4. Ngniatedema, Thomas & Fono, Louis Aimé & Mbondo, Georges Dieudonné, 2015. "A delayed product customization cost model with supplier delivery performance," European Journal of Operational Research, Elsevier, vol. 243(1), pages 109-119.
    5. Tao, Liangyan & Liu, Sifeng & Xie, Naiming & Javed, Saad Ahmed, 2021. "Optimal position of supply chain delivery window with risk-averse suppliers: A CVaR optimization approach," International Journal of Production Economics, Elsevier, vol. 232(C).

    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. Mukucha Paul & Jaravaza Divaries Cosmas & Mushanyuri Bongani E, 2021. "Green Sourcing: Effects on Supplier Performance Metrics in Fast Food Restaurants in Frontier Markets," Logistics, Supply Chain, Sustainability and Global Challenges, Sciendo, vol. 12(1), pages 47-59, December.
    2. Siti Aisyah Ya?kob & Mohd Uzairi Ahmad Hajazi & Nor Afiza Abu Bakar & Sharizal Hashim, 2019. "The Influence of Information Sharing Linkages on Business Performance: Evidence from Micro and Small Enterprises in Sarawak," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(1), pages 18-26, January.
    3. Schneider, Christian O. & Bremen, Philipp & Schönsleben, Paul & Alard, Robert, 2013. "Transaction cost economics in global sourcing: Assessing regional differences and implications for performance," International Journal of Production Economics, Elsevier, vol. 141(1), pages 243-254.
    4. Ben-Ammar, Oussama & Bettayeb, Belgacem & Dolgui, Alexandre, 2019. "Optimization of multi-period supply planning under stochastic lead times and a dynamic demand," International Journal of Production Economics, Elsevier, vol. 218(C), pages 106-117.
    5. Ogulin, R. & Selen, W. & Ashayeri, J., 2010. "Determinants of Informal Coordination in Networked Supply Chains," Discussion Paper 2010-133, Tilburg University, Center for Economic Research.
    6. Kroes, James R. & Manikas, Andrew S. & Gattiker, Thomas F., 2018. "Operational leanness and retail firm performance since 1980," International Journal of Production Economics, Elsevier, vol. 197(C), pages 262-274.
    7. Ganga, Gilberto Miller Devós & Carpinetti, Luiz Cesar Ribeiro, 2011. "A fuzzy logic approach to supply chain performance management," International Journal of Production Economics, Elsevier, vol. 134(1), pages 177-187, November.
    8. M. Ganesh Kumar & R. Uthayakumar, 2019. "A two-echelon integrated inventory model under generalized lead time distribution with variable backordering rate," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(4), pages 552-562, August.
    9. Ekaterina Khitilova, 2017. "The Suitability of Expert System Application in Czech Small and Medium-Sized Enterprises," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(2), pages 653-660.
    10. F. Tao & Y. Cheng & L. Zhang & A. Y. C. Nee, 2017. "Advanced manufacturing systems: socialization characteristics and trends," Journal of Intelligent Manufacturing, Springer, vol. 28(5), pages 1079-1094, June.
    11. Ra’ed Masa’deh & Ismail Muheisen & Bader Obeidat & Ashraf Bany Mohammad, 2022. "The Impact of Supply Chain Integration on Operational Performance: An Empirical Study," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    12. Xiaohong Liu & Liguo Zhou & Yen-Chun Jim Wu, 2015. "Supply Chain Finance in China: Business Innovation and Theory Development," Sustainability, MDPI, vol. 7(11), pages 1-21, November.
    13. Qi, Mingyao & Lin, Wei-Hua & Li, Nan & Miao, Lixin, 2012. "A spatiotemporal partitioning approach for large-scale vehicle routing problems with time windows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 248-257.
    14. H. Khorshidian & M. Akbarpour Shirazi & S. M. T. Fatemi Ghomi, 2019. "An intelligent truck scheduling and transportation planning optimization model for product portfolio in a cross-dock," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 163-184, January.
    15. Andrea Chiarini, 2017. "Environmental Policies for Evaluating Suppliers' Performance Based on GRI Indicators," Business Strategy and the Environment, Wiley Blackwell, vol. 26(1), pages 98-111, January.
    16. Tao, Liangyan & Liu, Sifeng & Xie, Naiming & Javed, Saad Ahmed, 2021. "Optimal position of supply chain delivery window with risk-averse suppliers: A CVaR optimization approach," International Journal of Production Economics, Elsevier, vol. 232(C).
    17. Chang, Sheng-Lin & Wang, Reay-Chen & Wang, Shih-Yuan, 2007. "Applying a direct multi-granularity linguistic and strategy-oriented aggregation approach on the assessment of supply performance," European Journal of Operational Research, Elsevier, vol. 177(2), pages 1013-1025, March.
    18. Liang Tang & Zhihong Jin & Xuwei Qin & Ke Jing, 2019. "Supply chain scheduling in a collaborative manufacturing mode: model construction and algorithm design," Annals of Operations Research, Springer, vol. 275(2), pages 685-714, April.
    19. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2016. "Outsourcing decisions in reverse logistics: Sustainable balanced scorecard and graph theoretic approach," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 41-53.
    20. Rabin Kumar Mallick & Kartik Patra & Shyamal Kumar Mondal, 2020. "Mixture inventory model of lost sale and back-order with stochastic lead time demand on permissible delay in payments," Annals of Operations Research, Springer, vol. 292(1), pages 341-369, September.

    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:137:y:2012:i:2:p:226-234. 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.