IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v83y2015icp189-215.html
   My bibliography  Save this article

A scheduling model of logistics service supply chain based on the mass customization service and uncertainty of FLSP’s operation time

Author

Listed:
  • Liu, Weihua
  • Wang, Qian
  • Mao, Qiaomei
  • Wang, Shuqing
  • Zhu, Donglei

Abstract

Building on previous research, this paper establishes a new multi-objective program scheduling model of Logistics service supply chain that considers the uncertainty of operation time for functional logistics service providers (FLSPs) in a mass customization service environment. This model aims to minimize total scheduling costs, minimize the difference between the scheduled and actual time of each service process, and maximize the average satisfaction of FLSPs. Considering the differences in target priority, the goal programming method is applied to solve the model hierarchically. In addition, the effects of scheduling parameters on scheduling objectives are provided after numerical analysis.

Suggested Citation

  • Liu, Weihua & Wang, Qian & Mao, Qiaomei & Wang, Shuqing & Zhu, Donglei, 2015. "A scheduling model of logistics service supply chain based on the mass customization service and uncertainty of FLSP’s operation time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 189-215.
  • Handle: RePEc:eee:transe:v:83:y:2015:i:c:p:189-215
    DOI: 10.1016/j.tre.2015.09.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554515001684
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tre.2015.09.003?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. Agnetis, Alessandro & Aloulou, Mohamed Ali & Fu, Liang-Liang, 2014. "Coordination of production and interstage batch delivery with outsourced distribution," European Journal of Operational Research, Elsevier, vol. 238(1), pages 130-142.
    2. Bhatnagar, Rohit & Mehta, Peeyush & Chong Teo, Chee, 2011. "Coordination of planning and scheduling decisions in global supply chains with dual supply modes," International Journal of Production Economics, Elsevier, vol. 131(2), pages 473-482, June.
    3. Zhang, Min & Zhao, Xiande & Qi, Yinan, 2014. "The effects of organizational flatness, coordination, and product modularity on mass customization capability," International Journal of Production Economics, Elsevier, vol. 158(C), pages 145-155.
    4. Osman, Hany & Demirli, Kudret, 2012. "Economic lot and delivery scheduling problem for multi-stage supply chains," International Journal of Production Economics, Elsevier, vol. 136(2), pages 275-286.
    5. Da Silveira, Giovani & Borenstein, Denis & Fogliatto, Flavio S., 2001. "Mass customization: Literature review and research directions," International Journal of Production Economics, Elsevier, vol. 72(1), pages 1-13, June.
    6. Wu, D. J. & Kleindorfer, P. R. & Zhang, Jin E., 2002. "Optimal bidding and contracting strategies for capital-intensive goods," European Journal of Operational Research, Elsevier, vol. 137(3), pages 657-676, March.
    7. 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.
    8. Ancarani, A. & Di Mauro, C. & D'Urso, D., 2013. "A human experiment on inventory decisions under supply uncertainty," International Journal of Production Economics, Elsevier, vol. 142(1), pages 61-73.
    9. Chauhan, Satyaveer S. & Gordon, Valery & Proth, Jean-Marie, 2007. "Scheduling in supply chain environment," European Journal of Operational Research, Elsevier, vol. 183(3), pages 961-970, December.
    10. Pundoor, Guruprasad & Chen, Zhi-Long, 2009. "Joint cyclic production and delivery scheduling in a two-stage supply chain," International Journal of Production Economics, Elsevier, vol. 119(1), pages 55-74, May.
    11. Pei, Jun & Pardalos, Panos M. & Liu, Xinbao & Fan, Wenjuan & Yang, Shanlin, 2015. "Serial batching scheduling of deteriorating jobs in a two-stage supply chain to minimize the makespan," European Journal of Operational Research, Elsevier, vol. 244(1), pages 13-25.
    12. Nicholas G. Hall & Chris N. Potts, 2003. "Supply chain scheduling: Batching and delivery," Operations Research, INFORMS, vol. 51(4), pages 566-584, August.
    13. Spinler, Stefan & Huchzermeier, Arnd, 2006. "The valuation of options on capacity with cost and demand uncertainty," European Journal of Operational Research, Elsevier, vol. 171(3), pages 915-934, June.
    14. Graham McMahon & Michael Florian, 1975. "On Scheduling with Ready Times and Due Dates to Minimize Maximum Lateness," Operations Research, INFORMS, vol. 23(3), pages 475-482, June.
    15. Fogliatto, Flavio S. & da Silveira, Giovani J.C. & Borenstein, Denis, 2012. "The mass customization decade: An updated review of the literature," International Journal of Production Economics, Elsevier, vol. 138(1), pages 14-25.
    16. Selvarajah, Esaignani & Zhang, Rui, 2014. "Supply chain scheduling at the manufacturer to minimize inventory holding and delivery costs," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 117-124.
    17. Calvete, Herminia I. & Gale, Carmen & Oliveros, Maria-Jose & Sanchez-Valverde, Belen, 2007. "A goal programming approach to vehicle routing problems with soft time windows," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1720-1733, March.
    18. Thomas, Anu & Venkateswaran, Jayendran & Singh, Gaurav & Krishnamoorthy, Mohan, 2014. "A resource constrained scheduling problem with multiple independent producers and a single linking constraint: A coal supply chain example," European Journal of Operational Research, Elsevier, vol. 236(3), pages 946-956.
    19. Han, Bin & Zhang, Wenjun & Lu, Xiwen & Lin, Yingzi, 2015. "On-line supply chain scheduling for single-machine and parallel-machine configurations with a single customer: Minimizing the makespan and delivery cost," European Journal of Operational Research, Elsevier, vol. 244(3), pages 704-714.
    20. Yao, Jianming & Liu, Liwen, 2009. "Optimization analysis of supply chain scheduling in mass customization," International Journal of Production Economics, Elsevier, vol. 117(1), pages 197-211, January.
    21. Zhaowei Miao & Feng Yang & Ke Fu & Dongsheng Xu, 2012. "Transshipment service through crossdocks with both soft and hard time windows," Annals of Operations Research, Springer, vol. 192(1), pages 21-47, January.
    22. Naso, David & Surico, Michele & Turchiano, Biagio & Kaymak, Uzay, 2007. "Genetic algorithms for supply-chain scheduling: A case study in the distribution of ready-mixed concrete," European Journal of Operational Research, Elsevier, vol. 177(3), pages 2069-2099, March.
    23. Weng, Z. Kevin & McClurg, Tim, 2003. "Coordinated ordering decisions for short life cycle products with uncertainty in delivery time and demand," European Journal of Operational Research, Elsevier, vol. 151(1), pages 12-24, November.
    24. Handfield, Robert & Warsing, Don & Wu, Xinmin, 2009. "(Q,r) Inventory policies in a fuzzy uncertain supply chain environment," European Journal of Operational Research, Elsevier, vol. 197(2), pages 609-619, September.
    25. Partanen, Jari & Haapasalo, Harri, 2004. "Fast production for order fulfillment: Implementing mass customization in electronics industry," International Journal of Production Economics, Elsevier, vol. 90(2), pages 213-222, July.
    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. Na Liu & Pui-Sze Chow & Hongshan Zhao, 2020. "Challenges and critical successful factors for apparel mass customization operations: recent development and case study," Annals of Operations Research, Springer, vol. 291(1), pages 531-563, August.
    2. Li, Guo & Li, Lin & Sun, Jiasen, 2019. "Pricing and service effort strategy in a dual-channel supply chain with showrooming effect," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 32-48.
    3. Hao Liu & Haodong Chen & Hengyi Zhang & Haibin Liu & Xingwang Yu & Shiqing Zhang, 2022. "Contract Design of Logistics Service Supply Chain Based on Smart Transformation," Sustainability, MDPI, vol. 14(10), pages 1-17, May.
    4. Hu, Xiaojian & Wang, Guanxiong & Li, Xiaozheng & Zhang, Yue & Feng, Shuai & Yang, Aifeng, 2018. "Joint decision model of supplier selection and order allocation for the mass customization of logistics services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 120(C), pages 76-95.
    5. Xing Chen & Eunmi Jang, 2022. "A Sustainable Supply Chain Network Model Considering Carbon Neutrality and Personalization," Sustainability, MDPI, vol. 14(8), pages 1-23, April.
    6. Liu, Xiaotong & Zhang, Kai & Chen, Bokui & Zhou, Jun & Miao, Lixin, 2018. "Analysis of logistics service supply chain for the One Belt and One Road initiative of China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 23-39.
    7. Shuna Wang & Zhi-Hua Hu, 2021. "Green Logistics Service Supply Chain Games Considering Risk Preference in Fuzzy Environments," Sustainability, MDPI, vol. 13(14), pages 1-32, July.

    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. Weihua Liu & Yi Yang & Shuqing Wang & Enze Bai, 2017. "A scheduling model of logistics service supply chain based on the time windows of the FLSP’s operation and customer requirement," Annals of Operations Research, Springer, vol. 257(1), pages 183-206, October.
    2. 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.
    3. Cheng, Ba-Yi & Leung, Joseph Y-T. & Li, Kai, 2017. "Integrated scheduling on a batch machine to minimize production, inventory and distribution costs," European Journal of Operational Research, Elsevier, vol. 258(1), pages 104-112.
    4. 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.
    5. Na Liu & Pui-Sze Chow & Hongshan Zhao, 2020. "Challenges and critical successful factors for apparel mass customization operations: recent development and case study," Annals of Operations Research, Springer, vol. 291(1), pages 531-563, August.
    6. Sandrin, Enrico & Trentin, Alessio & Forza, Cipriano, 2018. "Leveraging high-involvement practices to develop mass customization capability: A contingent configurational perspective," International Journal of Production Economics, Elsevier, vol. 196(C), pages 335-345.
    7. B.‐Y. Cheng & J.Y.‐T. Leung & K. Li & S.‐L. Yang, 2015. "Single batch machine scheduling with deliveries," Naval Research Logistics (NRL), John Wiley & Sons, vol. 62(6), pages 470-482, September.
    8. Xiaoyu Yu & Jingyi Qian & Yajing Zhang & Min Kong, 2023. "Supply Chain Scheduling Method for the Coordination of Agile Production and Port Delivery Operation," Mathematics, MDPI, vol. 11(15), pages 1-24, July.
    9. Jun Pei & Xinbao Liu & Panos M. Pardalos & Wenjuan Fan & Ling Wang & Shanlin Yang, 2016. "Solving a supply chain scheduling problem with non-identical job sizes and release times by applying a novel effective heuristic algorithm," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(4), pages 765-776, March.
    10. Sardana, Deepak & Terziovski, Mile & Gupta, Narain, 2016. "The impact of strategic alignment and responsiveness to market on manufacturing firm's performance," International Journal of Production Economics, Elsevier, vol. 177(C), pages 131-138.
    11. Fogliatto, Flavio S. & da Silveira, Giovani J.C. & Borenstein, Denis, 2012. "The mass customization decade: An updated review of the literature," International Journal of Production Economics, Elsevier, vol. 138(1), pages 14-25.
    12. Laurent Lim, Lâm & Alpan, Gülgün & Penz, Bernard, 2014. "Reconciling sales and operations management with distant suppliers in the automotive industry: A simulation approach," International Journal of Production Economics, Elsevier, vol. 151(C), pages 20-36.
    13. 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.
    14. Mohammad Ali Beheshtinia & Parisa Feizollahy & Masood Fathi, 2021. "Supply Chain Optimization Considering Sustainability Aspects," Sustainability, MDPI, vol. 13(21), pages 1-23, October.
    15. Brusset, Xavier, 2009. "Choosing a transport contract over multiple periods," MPRA Paper 18392, University Library of Munich, Germany, revised 09 Jan 2009.
    16. Han, Bin & Zhang, Wenjun & Lu, Xiwen & Lin, Yingzi, 2015. "On-line supply chain scheduling for single-machine and parallel-machine configurations with a single customer: Minimizing the makespan and delivery cost," European Journal of Operational Research, Elsevier, vol. 244(3), pages 704-714.
    17. Gedas Baranauskas & Agota Giedrė Raišienė & Renata Korsakienė, 2020. "Mapping the Scientific Research on Mass Customization Domain: A Critical Review and Bibliometric Analysis," JRFM, MDPI, vol. 13(9), pages 1-20, September.
    18. Chong Wang & Xu Chen, 2017. "Option pricing and coordination in the fresh produce supply chain with portfolio contracts," Annals of Operations Research, Springer, vol. 248(1), pages 471-491, January.
    19. A. Arrighetti & F. Landini, 2018. "Eterogeneità delle imprese e stagnazione del capitalismo italiano," Economics Department Working Papers 2018-EP01, Department of Economics, Parma University (Italy).
    20. Inderfurth, Karl & Kelle, Peter & Kleber, Rainer, 2013. "Dual sourcing using capacity reservation and spot market: Optimal procurement policy and heuristic parameter determination," European Journal of Operational Research, Elsevier, vol. 225(2), pages 298-309.

    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:transe:v:83:y:2015:i:c:p:189-215. 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/wps/find/journaldescription.cws_home/600244/description#description .

    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.