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Impact of transportation lead-time variability on the economic and environmental performance of inventory systems

Author

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  • Arıkan, Emel
  • Fichtinger, Johannes
  • Ries, Jörg M.

Abstract

Storage and transportation of goods within global supply chains is a major cause of environmental damage in modern value added processes. Thus, in the past, theory and practice developed several approaches in order to decrease these negative environmental impacts that frequently counteract the traditional efficiency-oriented ambitions. However, in many cases the economic and environmental performance can be improved at the same time. As many activities in logistics and inventory management are related to the treatment of potential uncertainties in the system by establishing redundancies, the reduction of uncertainty has equally a positive impact on both performance measures. To investigate the interrelation between uncertainty and the economic and environmental performance of supply chains, a serial inventory system consisting of a manufacturer who works with overseas suppliers and a carrier is considered, whereas the carrier is able to reduce lead time uncertainty. The relationships between uncertainties and the economic and environmental performance of the considered inventory system are highlighted by a simulation study based on empirical data from an international container shipping supply chain.

Suggested Citation

  • Arıkan, Emel & Fichtinger, Johannes & Ries, Jörg M., 2014. "Impact of transportation lead-time variability on the economic and environmental performance of inventory systems," International Journal of Production Economics, Elsevier, vol. 157(C), pages 279-288.
    • Handle: RePEc:eee:proeco:v:157:y:2014:i:c:p:279-288
    DOI: 10.1016/j.ijpe.2013.06.005
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    Cited by:

    1. Engebrethsen, Erna & Dauzère-Pérès, Stéphane, 2019. "Transportation mode selection in inventory models: A literature review," European Journal of Operational Research, Elsevier, vol. 279(1), pages 1-25.
    2. Zhuoqun Li & Weiwei Fei & Ermin Zhou & Yuvraj Gajpal & Xiding Chen, 2019. "The Impact of Lead Time Uncertainty on Supply Chain Performance Considering Carbon Cost," Sustainability, MDPI, vol. 11(22), pages 1-19, November.
    3. Abdulaziz T. Almaktoom, 2017. "Stochastic Reliability Measurement and Design Optimization of an Inventory Management System," Complexity, Hindawi, vol. 2017, pages 1-9, August.
    4. Julia Freis & Philipp Vohlidka & Willibald A. Günthner, 2016. "Low-Carbon Warehousing: Examining Impacts of Building and Intra-Logistics Design Options on Energy Demand and the CO 2 Emissions of Logistics Centers," Sustainability, MDPI, vol. 8(5), pages 1-36, May.
    5. 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.
    6. Davis-Sramek, Beth & Robinson, Jessica L. & Darby, Jessica L. & Thomas, Rodney W., 2020. "Exploring the differential roles of environmental and social sustainability in carrier selection decisions," International Journal of Production Economics, Elsevier, vol. 227(C).
    7. Glock, Christoph H. & Rekik, Yacine & Ries, Jörg M., 2020. "A coordination mechanism for supply chains with capacity expansions and order-dependent lead times," European Journal of Operational Research, Elsevier, vol. 285(1), pages 247-262.
    8. Navid Salmanzadeh-Meydani & S. M. T. Fatemi Ghomi & Seyedhamidreza Shahabi Haghighi & Kannan Govindan, 2023. "A multivariate quantitative approach for sustainability performance assessment: An upstream oil and gas company," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2777-2807, March.
    9. Shih-Hsien Tseng & Jia-Chen Yu, 2019. "Data-Driven Iron and Steel Inventory Control Policies," Mathematics, MDPI, vol. 7(8), pages 1-15, August.
    10. Sun, Yiqi & Wu, Zhengping & Zhu, Wanshan, 2022. "When do firms benefit from joint price and lead-time competition?," European Journal of Operational Research, Elsevier, vol. 302(2), pages 497-517.
    11. Svoboda, Josef & Minner, Stefan & Yao, Man, 2021. "Typology and literature review on multiple supplier inventory control models," European Journal of Operational Research, Elsevier, vol. 293(1), pages 1-23.
    12. Nouira, Imen & Hammami, Ramzi & Frein, Yannick & Temponi, Cecilia, 2016. "Design of forward supply chains: Impact of a carbon emissions-sensitive demand," International Journal of Production Economics, Elsevier, vol. 173(C), pages 80-98.
    13. Wu, Zhengping & Zhai, Xin & Liu, Zhongyi, 2015. "The inventory billboard effect on the lead-time decision," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 45-53.
    14. Zhao, Jing & Zhang, Qin, 2021. "The effect of contract methods on the lead time of a two-level photovoltaic supply chain: revenue-sharing vs. cost-sharing," Energy, Elsevier, vol. 231(C).
    15. Pablo Becerra & Josefa Mula & Raquel Sanchis, 2022. "Sustainable Inventory Management in Supply Chains: Trends and Further Research," Sustainability, MDPI, vol. 14(5), pages 1-19, February.
    16. Dara G. Schniederjans & Mehrnaz Khalajhedayati, 2021. "Competitive sustainability and stakeholder engagement: Exploring awareness, motivation, and capability," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 808-824, February.
    17. Yan Fang & Yiping Jiang & Lijun Sun & Xingxing Han, 2018. "Design of Green Cold Chain Networks for Imported Fresh Agri-Products in Belt and Road Development," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    18. Brandenburg, Marcus, 2017. "A hybrid approach to configure eco-efficient supply chains under consideration of performance and risk aspects," Omega, Elsevier, vol. 70(C), pages 58-76.
    19. Schaefer, Brian & Konur, Dinçer, 2015. "Economic and environmental considerations in a continuous review inventory control system with integrated transportation decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 80(C), pages 142-165.
    20. Chen, Yi-Ting & Sun, Edward W. & Chang, Ming-Feng & Lin, Yi-Bing, 2021. "Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0," International Journal of Production Economics, Elsevier, vol. 238(C).
    21. Wang, Minke & Wu, Jiang & Kafa, Nadine & Klibi, Walid, 2020. "Carbon emission-compliance green location-inventory problem with demand and carbon price uncertainties," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    22. 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.

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