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Coordination supply chain management under flexible cleaner production system and stochastic conditions

Author

Listed:
  • Asif Iqbal Malik

    (Sejong University)

  • Byung Soo Kim

    (Incheon National University)

Abstract

The necessity of coordination and flexibility is essential for the success of supply chain management (SCM). This study considers a two-echelon SCM's coordination issues in a flexible production system at a smart factory. This study investigates a flexible production system as an alternative method to overcome the stock-out risk to produce complex products with high and stochastic demands for a buyer. However, higher production rates may increase the chances of system failure and imperfections. Thus, this model treats the rate of production as a decision variable. The carbon emissions in production activities have driven researchers to focus on clean productions in flexible systems for the future. The flexible production systems in smart factories considering emissions costs can help industries reduce these emissions by optimizing the production rates. The flexibility in the production systems adds up the considerable setup cost to the vendor and for this, the model considers the investment cost of technologies for setup cost reduction. Two models, the decentralized and the centralized, and solution algorithms are proposed to maintain the balance between optimal production rate and unit production cost and optimize the system cost. Besides, an optimal cost-sharing strategy is developed with the bargaining powers of SCM members. By optimizing the production rate and controlling the setup cost and lead time, the developed collaborative strategy optimizes environmental performance in terms of emissions control and economic performance with SCM optimization.

Suggested Citation

  • Asif Iqbal Malik & Byung Soo Kim, 2025. "Coordination supply chain management under flexible cleaner production system and stochastic conditions," Annals of Operations Research, Springer, vol. 349(2), pages 1109-1150, June.
  • Handle: RePEc:spr:annopr:v:349:y:2025:i:2:d:10.1007_s10479-021-04303-w
    DOI: 10.1007/s10479-021-04303-w
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    References listed on IDEAS

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    1. Giannoccaro, Ilaria & Pontrandolfo, Pierpaolo, 2004. "Supply chain coordination by revenue sharing contracts," International Journal of Production Economics, Elsevier, vol. 89(2), pages 131-139, May.
    2. Wakhid Ahmad Jauhari & I. Nyoman Pujawan, 2014. "Joint economic lot size (JELS) model for single-vendor single-buyer with variable production rate and partial backorder," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 20(1), pages 91-108.
    3. Glock, C. H., 2012. "Lead time reduction strategies in a single-vendor-single-buyer integrated inventory model with lot size-dependent lead times and stochastic demand," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57816, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Marchi, B. & Zanoni, S. & Zavanella, L.E. & Jaber, M.Y., 2019. "Supply chain models with greenhouse gases emissions, energy usage, imperfect process under different coordination decisions," International Journal of Production Economics, Elsevier, vol. 211(C), pages 145-153.
    5. Ouyang, Liang-Yuh & Wu, Kun-Shan & Ho, Chia-Huei, 2004. "Integrated vendor-buyer cooperative models with stochastic demand in controllable lead time," International Journal of Production Economics, Elsevier, vol. 92(3), pages 255-266, December.
    6. Sarkar, Biswajit & Moon, Ilkyeong, 2014. "Improved quality, setup cost reduction, and variable backorder costs in an imperfect production process," International Journal of Production Economics, Elsevier, vol. 155(C), pages 204-213.
    7. Li, Sijie & Zhu, Zhanbei & Huang, Lihua, 2009. "Supply chain coordination and decision making under consignment contract with revenue sharing," International Journal of Production Economics, Elsevier, vol. 120(1), pages 88-99, July.
    8. Asif Iqbal Malik & Byung Soo Kim, 2020. "A Constrained Production System Involving Production Flexibility and Carbon Emissions," Mathematics, MDPI, vol. 8(2), pages 1-21, February.
    9. Ben-Daya, M. & Hariga, M., 2004. "Integrated single vendor single buyer model with stochastic demand and variable lead time," International Journal of Production Economics, Elsevier, vol. 92(1), pages 75-80, November.
    10. Asif Iqbal Malik & Biswajit Sarkar, 2019. "Coordinating Supply-Chain Management under Stochastic Fuzzy Environment and Lead-Time Reduction," Mathematics, MDPI, vol. 7(5), pages 1-28, May.
    11. Glock, Christoph H., 2012. "Lead time reduction strategies in a single-vendor–single-buyer integrated inventory model with lot size-dependent lead times and stochastic demand," International Journal of Production Economics, Elsevier, vol. 136(1), pages 37-44.
    12. Kim, T. & Glock, C. H., 2018. "Production planning for a two-stage production system with multiple parallel machines and variable production rates," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 90347, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    13. Marchi, B. & Ries, J. M. & Zanoni, S. & Glock, C. H., 2016. "A joint economic lot size model with financial collaboration and uncertain investment opportunity," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 79714, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    14. Glock, C. H., 2011. "Batch sizing with controllable production rates in a multi-stage production system," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57822, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    15. Kunter, Marcus, 2012. "Coordination via cost and revenue sharing in manufacturer–retailer channels," European Journal of Operational Research, Elsevier, vol. 216(2), pages 477-486.
    16. Glock, C. H., 2010. "Batch sizing with controllable production rates," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57823, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    17. Ouyang, Liang-Yuh & Wu, Kun-Shan & Ho, Chia-Huei, 2007. "An integrated vendor-buyer inventory model with quality improvement and lead time reduction," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 349-358, July.
    18. Marchi, B. & Ries, J.M. & Zanoni, S. & Glock, C.H., 2016. "A joint economic lot size model with financial collaboration and uncertain investment opportunity," International Journal of Production Economics, Elsevier, vol. 176(C), pages 170-182.
    19. Mitali Sarkar & Byung Do Chung, 2020. "Flexible work-in-process production system in supply chain management under quality improvement," International Journal of Production Research, Taylor & Francis Journals, vol. 58(13), pages 3821-3838, July.
    20. Heydari, Jafar, 2014. "Lead time variation control using reliable shipment equipment: An incentive scheme for supply chain coordination," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 63(C), pages 44-58.
    21. Asif Iqbal Malik & Biswajit Sarkar, 2020. "Coordination Supply Chain Management Under Flexible Manufacturing, Stochastic Leadtime Demand, and Mixture of Inventory," Mathematics, MDPI, vol. 8(6), pages 1-32, June.
    22. 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).
    23. Heydari, Jafar & Rastegar, Mehdi & Glock, Christoph H., 2017. "A two-level delay in payments contract for supply chain coordination: The case of credit-dependent demand," International Journal of Production Economics, Elsevier, vol. 191(C), pages 26-36.
    24. AlDurgam, Mohammad & Adegbola, Kehinde & Glock, Christoph H., 2017. "A single-vendor single-manufacturer integrated inventory model with stochastic demand and variable production rate," International Journal of Production Economics, Elsevier, vol. 191(C), pages 335-350.
    25. AlDurgham, M. & Adegbola, K. & Glock, C. H., 2017. "A single-vendor single-manufacturer integrated inventory model with stochastic demand and variable production rate," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 87594, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    26. Evan L. Porteus, 1986. "Optimal Lot Sizing, Process Quality Improvement and Setup Cost Reduction," Operations Research, INFORMS, vol. 34(1), pages 137-144, February.
    27. Heydari, J. & Rastegar, M. & Glock, C. H., 2017. "A two-level delay in payments contract for supply chain coordination: The case of credit-dependent demand," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 87241, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    28. Arunava Majumder & Rekha Guchhait & Biswajit Sarkar, 2017. "Manufacturing quality improvement and setup cost reduction in a vendor-buyer supply chain model," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 11(5), pages 588-612.
    29. Kim, Taebok & Glock, Christoph H., 2018. "Production planning for a two-stage production system with multiple parallel machines and variable production rates," International Journal of Production Economics, Elsevier, vol. 196(C), pages 284-292.
    30. Li, Yina & Xu, Xuejun & Zhao, Xiande & Yeung, Jeff Hoi Yan & Ye, Fei, 2012. "Supply chain coordination with controllable lead time and asymmetric information," European Journal of Operational Research, Elsevier, vol. 217(1), pages 108-119.
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