IDEAS home Printed from https://ideas.repec.org/h/zbw/hiclch/209396.html
   My bibliography  Save this book chapter

Optimization and simulation for sustainable supply chain design

In: Digital Transformation in Maritime and City Logistics: Smart Solutions for Logistics. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 28

Author

Listed:
  • Schreiber, Lucas

Abstract

Purpose: This paper provides an overview of analytical optimization models and simulation-based approaches coping with upcoming challenges concerning the growing requirements within the field of sustainable supply chain design. It aims to combine the two highlighted solution methods in order to propose a holistic approach for decision-making support in this area. Methodology: Initially, a literature review on current application solutions for sustainable supply chain design is given. The regarded and analyzed approaches will be clustered and allocated to supply chain design tasks. Synergetic effects of combining simulation and optimization are identified and an integrated approach is outlined. Findings: Sustainable supply chain design tasks can be encapsulated in specific modules which are optimized simultaneously. Partial solutions are created which simplify the simulation model and reduce the necessary configurations to verify the robustness. Originality: Current approaches focusing on sustainable supply chain design mainly use simulation or optimization. A well-defined approach using various preceded optimizations for modularized strategic tasks like partner selection, allocation of resources or determination of transport relations with subsequent verification of the results in a simulation has not been proposed yet.

Suggested Citation

  • Schreiber, Lucas, 2019. "Optimization and simulation for sustainable supply chain design," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Digital Transformation in Maritime and City Logistics: Smart Solutions for Logistics. Proceedings of the Hamburg International Conference of Logistics, volume 28, pages 271-298, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    • Handle: RePEc:zbw:hiclch:209396
    DOI: 10.15480/882.2500
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/209396/1/hicl-2019-28-271.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.15480/882.2500?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
    ---><---

    References listed on IDEAS

    as
    1. Mohammadi, M. & Torabi, S.A. & Tavakkoli-Moghaddam, R., 2014. "Sustainable hub location under mixed uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 62(C), pages 89-115.
    2. Glock, C. H. & Jaber, M. Y. & El Saadany, A., 2013. "Supply Chain Coordination with Emission Reduction Incentives," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57672, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Amy H. I. Lee & He-Yau Kang & Sih-Jie Ye & Wan-Yu Wu, 2018. "An Integrated Approach for Sustainable Supply Chain Management with Replenishment, Transportation, and Production Decisions," Sustainability, MDPI, vol. 10(11), pages 1-21, October.
    4. Amir Hossein Azadnia & Muhamad Zameri Mat Saman & Kuan Yew Wong, 2015. "Sustainable supplier selection and order lot-sizing: an integrated multi-objective decision-making process," International Journal of Production Research, Taylor & Francis Journals, vol. 53(2), pages 383-408, January.
    5. Belkız Torğul & Turan Paksoy, 2019. "A New Multi Objective Linear Programming Model for Lean and Green Supplier Selection with Fuzzy TOPSIS," International Series in Operations Research & Management Science, in: Turan Paksoy & Gerhard-Wilhelm Weber & Sandra Huber (ed.), Lean and Green Supply Chain Management, pages 101-141, Springer.
    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. Vliegen, Lea & Moroff, Nikolas Ulrich & Riehl, Katharina, 2020. "Evaluation of data quality in dimensioning capacity," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Lo, volume 29, pages 355-394, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    2. Schreiber, Lucas & Jarmer, Jan-Philipp & Kamphues, Josef, 2020. "Energy-efficient supply chain design: Data aggregation and processing," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 129-155, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    3. Blanka Tundys & Tomasz Wiśniewski, 2021. "Simulation-Based Analysis of Greenhouse Gas Emissions in Sustainable Supply Chains—Re-Design in an Approach to Supply Chain Strategy," Energies, MDPI, vol. 14(12), pages 1-17, June.

    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. Schreiber, Lucas & Jarmer, Jan-Philipp & Kamphues, Josef, 2020. "Energy-efficient supply chain design: Data aggregation and processing," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 129-155, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    2. Battini, Daria & Persona, Alessandro & Sgarbossa, Fabio, 2014. "A sustainable EOQ model: Theoretical formulation and applications," International Journal of Production Economics, Elsevier, vol. 149(C), pages 145-153.
    3. Asghari, Mohammad & Jaber, Mohamad Y. & Mirzapour Al-e-hashem, S.M.J., 2023. "Coordinating vessel recovery actions: Analysis of disruption management in a liner shipping service," European Journal of Operational Research, Elsevier, vol. 307(2), pages 627-644.
    4. Battini, Daria & Glock, Christoph H. & Grosse, Eric H. & Persona, Alessandro & Sgarbossa, Fabio, 2017. "Reprint of “Ergo-lot-sizing: An approach to integrate ergonomic and economic objectives in manual materials handling”," International Journal of Production Economics, Elsevier, vol. 194(C), pages 32-42.
    5. Dong, Ciwei & Liu, Qingyu & Shen, Bin, 2019. "To be or not to be green? Strategic investment for green product development in a supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 193-227.
    6. Niloofar Vahabzadeh Najafi & Alireza Arshadi Khamseh & Abolfazl Mirzazadeh, 2020. "An Integrated Sustainable and Flexible Supplier Evaluation Model under Uncertainty by Game Theory and Subjective/Objective Data: Iranian Casting Industry," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(4), pages 309-322, December.
    7. Cao, Erbao & Du, Lingxia & Ruan, Junhu, 2019. "Financing preferences and performance for an emission-dependent supply chain: Supplier vs. bank," International Journal of Production Economics, Elsevier, vol. 208(C), pages 383-399.
    8. Xu, Xiaoping & He, Ping & Xu, Hao & Zhang, Quanpeng, 2017. "Supply chain coordination with green technology under cap-and-trade regulation," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 433-442.
    9. Konur, Dinçer & Campbell, James F. & Monfared, Sepideh A., 2017. "Economic and environmental considerations in a stochastic inventory control model with order splitting under different delivery schedules among suppliers," Omega, Elsevier, vol. 71(C), pages 46-65.
    10. Andreas Schiessl & Richard Müller & Rebekka Volk & Konrad Zimmer & Patrick Breun & Frank Schultmann, 2020. "Integrating site-specific environmental impact assessment in supplier selection: exemplary application to steel procurement," Journal of Business Economics, Springer, vol. 90(9), pages 1409-1457, November.
    11. Castellano, Davide & Gallo, Mosè & Grassi, Andrea & Santillo, Liberatina C., 2019. "The effect of GHG emissions on production, inventory replenishment and routing decisions in a single vendor-multiple buyers supply chain," International Journal of Production Economics, Elsevier, vol. 218(C), pages 30-42.
    12. Meng, Xiaoge & Yao, Zhong & Nie, Jiajia & Zhao, Yingxue & Li, Zenglu, 2018. "Low-carbon product selection with carbon tax and competition: Effects of the power structure," International Journal of Production Economics, Elsevier, vol. 200(C), pages 224-230.
    13. Abdullah Yıldızbaşı & Cihat Öztürk & Deniz Efendioğlu & Serol Bulkan, 2021. "Assessing the social sustainable supply chain indicators using an integrated fuzzy multi-criteria decision-making methods: a case study of Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4285-4320, March.
    14. Chen, Lujie & Zhao, Xiande & Tang, Ou & Price, Lydia & Zhang, Shanshan & Zhu, Wenwen, 2017. "Supply chain collaboration for sustainability: A literature review and future research agenda," International Journal of Production Economics, Elsevier, vol. 194(C), pages 73-87.
    15. Ali Saeed Almuflih & Janpriy Sharma & Mohit Tyagi & Arvind Bhardwaj & Mohamed Rafik Noor Mohamed Qureshi & Nawaf Khan, 2022. "Leveraging the Dynamics of Food Supply Chains towards Avenues of Sustainability," Sustainability, MDPI, vol. 14(12), pages 1-15, June.
    16. Jawad, Hussam & Jaber, Mohamad Y. & Nuwayhid, Rida Y., 2018. "Improving supply chain sustainability using exergy analysis," European Journal of Operational Research, Elsevier, vol. 269(1), pages 258-271.
    17. Zhalechian, M. & Tavakkoli-Moghaddam, R. & Zahiri, B. & Mohammadi, M., 2016. "Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 182-214.
    18. Nihan Kabadayı, 2020. "An Integrated Fuzzy DEMATEL and Intuitionistic Fuzzy TOPSIS Method to Evaluate Sustainable Suppliers," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 8(2), pages 201-226, December.
    19. Daryanto, Yosef & Wee, Hui Ming & Astanti, Ririn Diar, 2019. "Three-echelon supply chain model considering carbon emission and item deterioration," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 368-383.
    20. Jin, Maozhu & Song, Lijun & Wang, Yanan & Zeng, Yucheng, 2018. "Longitudinal cooperative robust optimization model for sustainable supply chain management," Chaos, Solitons & Fractals, Elsevier, vol. 116(C), pages 95-105.

    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:zbw:hiclch:209396. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://hicl.org/ .

    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.