Developing a joint supply chain plan for the coal industry considering conflict resolution strategies

Document Type : Article

Authors

1 School of Management, Shenyang University of Technology, Shenyang 110870, China

2 MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China

3 Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore 119077, Singapore

Abstract

An integrated coordination scheduling problem considering production and distribution in integrated energy enterprise aims at coordinating the production plan and distribution plans to eliminate the conflict between them. The research is motivated by the challenges encountered in the practice. Practice has indicated that conflicts are common existing among the plans which are made by production and distribution departments respectively. We propose a scheduling model which considers two aspects. On one hand, we try to maximize the company profit. On the other hand, we expect to minimize the difference between the separate plans and the coordinating ones. A genetic algorithm is developed to solve this problem. A case study of the largest integrated energy enterprise in China shows that once conflicts occurs in separate plans, the most effective way to adjust the separate plans from a global perspective that has strong coordinating relationships with the overall interests. The proposed model would neutralize the influence of the conflict.

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  1. References

    1. Bhatnagar, R., Chandra, P. and Goyal, S. K. “Models for multi-plant coordination”, Eur. J.Oper. Res., 67(2), pp. 141-160 (1993).
    2. Annual Report 2018. BHP. Retrieved 29 September 2018.
    3. Vale 2014 Form 20-F Annual Report.
    4. Goyal, S. K. and Gupta, Y. P. “Integrated inventory models: The buyer-vendor coordination”, Eur. J.Oper. Res., 41(3), pp. 261-269 (1989).
    5. Chen, Z. L. “Integrated production and outbound distribution scheduling: review and extensions”, Oper. Res., 58(1), pp. 130-148 (2010).
    6. Pundoor, G. and Chen, Z.-L. “Scheduling a production-distribution system to optimize the tradeoff between delivery tardiness and total distribution cost”, Nav. Res. Log., 52(6), pp. 571-589 (2005).
    7. 7.          Pornsing, C., Tharawetcharak, P., Jomthong, P., et al. “Particle swarm optimization for integrated production-distribution scheduling problem”, International Conference on Control. IEEE, 2017.
    8. Zhong, X. and Jiang, D. “Integrated Scheduling of Production and Distribution with Release Dates and Capacitated Deliveries”, Math.Probl. Eng., 2, pp. 1-5 (2016).
    9. Russel, R., Chiang, W.C. and Zepeda, D. “Integrating multi-product production and distribution in newspaper logistics”, Comput.Oper. Res., 35(5), pp. 1576-1588 (2008).
    10. Kishimoto, T., Fugo, K. and Kiyokawa, T. “Integrated production and intermodal transportation planning in large scale production-distribution networks”, Transport. Res. E-LOG., 60(complete), pp. 62-78 (2013).
    11. Ma, Y. F., Yan, F., Kang, K., et al. “A novel integrated production-distribution planning model with conflict and coordination in a supply chain network”, Knowl-Based Syst., 105, pp. 119-133 (2016).
    12. Scholz-Reiter, B., Hartmann, J., Makuschewitz, T., et al. “A generic approach for the graph-based integrated production and intermodal transport scheduling with capacity restrictions”, Procedia CIRP, 7(Complete), pp. 109-114 (2013).
    13. Cheng, B. Y., Leung, J. Y. T. and Li, K. “Integrated scheduling of production and distribution to minimize total cost using an improved ant colony optimization method”, Comput. Ind. Eng., 83, 217-225 (2015).
    14. Devapriya, P., Ferrell, W. and Geismar, N. “Integrated Production and Distribution Scheduling with a Perishable Product”, Eur. J.Oper. Res., 259, pp. 906-916 (2017).
    15. Noroozi, A., Mazdeh, M. M., Heydari, M., et al. “Coordinating order acceptance and integrated production-distribution scheduling with batch delivery considering Third Party Logistics distribution”, J. Manuf. Syst., 46, pp. 29-45 (2018).
    16. Mohammadi, S., Cheraghalikhani, A. and Ramezanian, R. “A Joint Scheduling of Production and Distribution Operations in a Flow Shop Manufacturing System”, SCI. IRAN., 25, pp. 911-930 (2018).
    17. Hajiaghaei-Keshteli, M., Aminnayeri, M. and Ghomi, S. M. T. F. “Integrated scheduling of production and rail transportation”, Comput. Ind. Eng., 74, pp. 240-256 (2014).
    18. Lee, C. Y. and Chen, Z. L. “Machine scheduling with transportation considerations”, J. Scheduling., 4(1), pp. 3-24 (2001).
    19. Soukhal, A., Oulamara, A. and Martineau, P. “Complexity of flow shop scheduling problems with transportation constraints”, Eur. J.Oper. Res., 161, pp. 32-41 (2005).
    20. Lu, L., Yuan, J. and Zhang, L. “Single machine scheduling with release dates and job delivery to minimize the makespan”, Theor.Comput. Sci., 393(1), pp. 102-108 (2008).
    21. Tang, L. and Gong, H. “The coordination of transportation and batching scheduling”, Appl. Math. Model., 33(10), pp. 3854-3862 (2009).
    22. Bock and Stefan. “Finding optimal tour schedules on transportation paths under extended time window constraints”, J. Scheduling., 19(5), pp. 527-546 (2016).
    23. ASKRI, T., HAJEJ, Z. and REAG, Nidhal. “Jointly Production and Correlated Maintenance Optimization for Parallel Leased Machines”, Appl. Sci., 7(5), pp. 461- (2017).
    24. Sawik, T. “Integrated supply, production and distribution scheduling under disruption risks”, OMEGA-INT. J. MANAGE. S., 62, pp. 131-144 (2016).
    25. Lu, J., Han, J., Hu, Y. and Zhang, G. “Multilevel decision-making: a survey”, Inform. Sciences., s346–347, pp. 463-487 (2016).
    26. Langroodi, R. R. P. and Amiri, M. “A system dynamics modeling approach for a multi-level, multi-product, multi-region supply chain under demand uncertainty”, Expert Syst. Appl., 51, S0957417416000038 (2016).
    27. Fahimnia, B., Luong, L. and Marian, R. “Genetic algorithm optimization of an integrated aggregate production-distribution plan in supply chains”, World of Wireless, Mobile and Multimedia Networks., 104, pp. 1-6 (2012).
    28. Váncza, J., Egri, P. and Monostori, L. “A coordination mechanism for rolling horizon planning in supply networks”, CIRP ANN-MANUF TECHN., 57, pp. 455-458 (2008).
    29. Mallik, S. and Harker, P. T. “Coordinating supply chains with competition: capacity allocation in semiconductor manufacturing”, Eur. J.Oper. Res., 159(2), pp. 330-347 (2004).
    30. Hsu, W. S. T. “Linear bi-level programming problems-a review”, JORS., 42(2), pp. 125-133 (1991).
    31. Calvete, H. I., Galé, G. and Oliveros, M. J. “Bilevel model for production-distribution planning solved by using ant colony optimization”,  Comput. Oper. Res., 38(1), pp. 320-327 (2011).
    32. Amirtaheri, O., Zandieh, M., Dorri, B., et al. “A bi-level programming approach for production-distribution supply chain problem”, Comput. Ind. Eng., 110, pp. 527-537 (2017).
    33. Chen, Z. L. and Vairaktarakis, G. L. “Integrated Scheduling of Production and Distribution Operations”, INFORMS., 51(4), pp. 614-628 (2005).
    34. Chen, B. and Lee, C. Y. “Logistics scheduling with batching and transportation”, Eur. J.Oper. Res., 189(3), pp. 871-876 (2008).
    35. Xuan, H. “Hybrid flow shop scheduling with finite transportation capacity”, AMM, 65, pp. 574-578 (2011).
    36. Zhong, W., Dósa, G. and Tan, Z. “On the machine scheduling problem with job delivery coordination”, Eur. J.Oper. Res., 182(3), pp. 1057-1072 (2007).
    37. Chang, Y. C. and Lee, C. Y. “Machine scheduling with job delivery coordination”, Eur. J.Oper. Res., 158(2), pp. 470-487 (2004).
    38. Moons, S., Ramaekers, K., An, C. and Arda, Y. “Integrating production scheduling and vehicle routing decisions at the operational decision level: a review and discussion”, Comput. Ind. Eng., 104, pp. 224-245 (2017).
    39. Li, S. and Li, M. “Integrated Production and Distribution Scheduling Problems Related to Fixed Delivery Departure Dates and Weights of Late Orders”, ScientificWorldJ., pp. 1-7 (2015).
    40. Liotta, G., Stecca, G. and Kaihara, T. “Optimization of freight flows and sourcing in sustainable production and transportation networks”, Int. J. Prod. Econ., 164, pp. 351-365 (2015).
    41. Azadian, F., Murat, A. and Chinnam, R. B. “Integrated production and logistics planning: Contract manufacturing and choice of air/surface transportation”, Eur. J.Oper. Res., 247(1), pp. 113-123 (2015).
    42. Kang, L. J., Wu, J. J., Sun, H. J., et al. “A practical model for last train rescheduling with train delay in urban railway transit networks”, OMEGA-INT. J. MANAGE. S., 50, pp. 29-42 (2015).
    43. Liu, S., Huang, W. and Ma, H. “An effective genetic algorithm for the fleet size and mix vehicle routing problems”, Transport. Res. E-LOG., 45(3), pp. 434-445 (2009).
    44. Hassanpour, A., Bagherinejad, J. and Bashiri, M. “A robust bi-level programming model to design a closed loop supply chain considering government collection’s policy”, SCI. IRAN., (2018).
    45. Zegordi, S. H. and Nia, M. A. B. “A multi-population genetic algorithm for transportation scheduling”, Transport. Res. E-LOG., 45(6), pp. 946-959 (2009).