How to cite this paper
Babaveisi, V., Teimoury, E & Gholamian, M. (2023). A planning model for repairable spare part supply chain considering stochastic demand and backorder: an empirical investigation.Decision Science Letters , 12(2), 239-254.
Refrences
Axsäter, S. (1993). Optimization of order‐up‐to‐s policies in two‐echelon inventory systems with periodic review. Naval Research Logistics (NRL), 40(2), 245-253.
Babaveisi, V., Teimoury, E., Gholamian, M. R., & Rostami-Tabar, B. (2022). Integrated demand forecasting and planning model for repairable spare part: an empirical investigation. International Journal of Production Research, 1-17.
Gehret, G. H., Weir, J. D., Johnson, A. W., & Jacques, D. R. (2020). Advancing stock policy on repairable, intermittently-demanded service parts. Journal of the Operational Research Society, 71(9), 1437-1447.
Gholamian, M. R., & Heydar, M. (2017). An inventory model with METRIC approach in location-routing-inventory problem. Advances in Production Engineering & Management, 12(2).
González-Varona, J. M., Poza, D., Acebes, F., Villafáñez, F., Pajares, J., & López-Paredes, A. (2020). New business models for sustainable spare parts logistics: A case study. Sustainability, 12(8), 3071.
Guo, L., Wang, Y., Kong, D., Zhang, Z., & Yang, Y. (2019). Decisions on spare parts allocation for repairable isolated system with dependent backorders. Computers & Industrial Engineering, 127, 8-20.
He, X., & Hu, W. (2014). Modeling relief demands in an emergency supply chain system under large-scale disasters based on a queuing network. The Scientific World Journal, 2014.
Hora, M. E. (1987). The unglamorous game of managing maintenance. Business Horizons, 30(3), 67-75.
Jiang, P., Huang, Y., & Liu, X. (2021). Intermittent demand forecasting for spare parts in the heavy-duty vehicle industry: a support vector machine model. International Journal of Production Research, 59(24), 7423-7440.
Jin, T., & Tian, Y. (2012). Optimizing reliability and service parts logistics for a time-varying installed base. European Journal of Operational Research, 218(1), 152-162.
Karush, W. (1957). A queuing model for an inventory problem. Operations research, 5(5), 693-703.
Kim, D. H., & Park, K. S. (1985). (Q, r) inventory model with a mixture of lost sales and time-weighted backorders. Journal of the Operational Research Society, 36, 231-238.
Kosanoglu, F., Turan, H. H., & Atmis, M. (2018). A simulated annealing algorithm for integrated decisions on spare part inventories and cross-training policies in repairable inventory systems. In Proceedings of International Conference on Computers and Industrial Engineering (pp. 1-14).
Liu, L., & Cheung, K. L. (1997). Service constrained inventory models with random lifetimes and lead times. Journal of the Operational Research Society, 48(10), 1022-1028.
Liu, Y., Dehghani, E., Jabalameli, M. S., Diabat, A., & Lu, C. C. (2020). A coordinated location-inventory problem with supply disruptions: A two-phase queuing theory–optimization model approach. Computers & industrial engineering, 142, 106326.
Melo, M. T., Nickel, S., & Saldanha-Da-Gama, F. (2009). Facility location and supply chain management–A review. European journal of operational research, 196(2), 401-412.
Moini, G., Teimoury, E., Seyedhosseini, S. M., Radfar, R., & Alborzi, M. (2021). A forward-reverse repairable spare part network considering inventory management. International Journal of Industrial Engineering, 32(4), 1-23.
Muckstadt, J. A. (1973). A model for a multi-item, multi-echelon, multi-indenture inventory system. Management science, 20(4-part-i), 472-481.
Öner, K. B., Franssen, R., Kiesmüller, G., & van Houtum, G. J. (2007, February). Life cycle costs measurement of complex systems manufactured by an engineer-to-order company. In The 17th international conference on flexible automation and intelligent manufacturing (pp. 569-589).
Özkan, E., van Houtum, G. J., & Serin, Y. (2015). A new approximate evaluation method for two-echelon inventory systems with emergency shipments. Annals of operations research, 224, 147-169.
Paydar, M. M., Babaveisi, V., & Safaei, A. S. (2017). An engine oil closed-loop supply chain design considering collection risk. Computers & Chemical Engineering, 104, 38-55.
Qin, X., Jiang, Z. Z., Sun, M., Tang, L., & Liu, X. (2021). Repairable spare parts provisioning for multiregional expanding fleets of equipment under performance-based contracting. Omega, 102, 102328.
Rappold, J. A., & Van Roo, B. D. (2009). Designing multi-echelon service parts networks with finite repair capacity. European Journal of Operational Research, 199(3), 781-792.
Schulze, S., & Weckenborg, S. (2012). Improving Forecasts for a Higher Sustainability in Spare Parts Logistics. Sustainable Manufacturing: Shaping Global Value Creation, 243-247.
Shaikh, A. A., Mondal, R., Bhattacharyya, A. N., Kumar, N., & Mandal, G. (2020). Analysis of a Two-Storage System for Advance Payment Policies with the Partial Backlogged Shortage. Advances in Industrial Engineering, 54(3), 221-242.
Shastri, A., Singh, S. R., Yadav, D., & Gupta, S. (2013). Multi-echelon supply chain management for deteriorating items with partial backordering under inflationary environment. Procedia Technology, 10, 320-329.
Sherbrooke, C. C. (1968). METRIC: A multi-echelon technique for recoverable item control. Operations research, 16(1), 122-141.
Taji, J., Farughi, H., & Rasay, H. (2022). A New Approach to Preventive Maintenance Planning Considering Non-Failure Stops and Failure Interdependence Between Components. Advances in Industrial Engineering, 56(2), 231-249.
Wang, Z., Hu, C., Wang, W., Kong, X., & Zhang, W. (2015). A prognostics-based spare part ordering and system replacement policy for a deteriorating system subjected to a random lead time. International Journal of Production Research, 53(15), 4511-4527.
van Wingerden, E., Tan, T., & Van Houtum, G. J. (2019). The impact of an emergency warehouse in a two-echelon spare parts network. European Journal of Operational Research, 276(3), 983-997.
Wong, H., Cattrysse, D., & Van Oudheusden, D. (2005). Stocking decisions for repairable spare parts pooling in a multi-hub system. International journal of production economics, 93, 309-317.
Yousefi-Babadi, A., Soleimani, N., & Shishebori, D. (2021). Capacitated Sustainable Resilient Closed-Loop Supply Chain Network Design: A Heuristics Algorithm. Advances in Industrial Engineering, 55(4), 447-479.
Zammori, F., Bertolini, M., & Mezzogori, D. (2020). A constructive algorithm to maximize the useful life of a mechanical system subjected to ageing, with non-resuppliable spares parts. International Journal of Industrial Engineering Computations, 11(1), 17-34.
Babaveisi, V., Teimoury, E., Gholamian, M. R., & Rostami-Tabar, B. (2022). Integrated demand forecasting and planning model for repairable spare part: an empirical investigation. International Journal of Production Research, 1-17.
Gehret, G. H., Weir, J. D., Johnson, A. W., & Jacques, D. R. (2020). Advancing stock policy on repairable, intermittently-demanded service parts. Journal of the Operational Research Society, 71(9), 1437-1447.
Gholamian, M. R., & Heydar, M. (2017). An inventory model with METRIC approach in location-routing-inventory problem. Advances in Production Engineering & Management, 12(2).
González-Varona, J. M., Poza, D., Acebes, F., Villafáñez, F., Pajares, J., & López-Paredes, A. (2020). New business models for sustainable spare parts logistics: A case study. Sustainability, 12(8), 3071.
Guo, L., Wang, Y., Kong, D., Zhang, Z., & Yang, Y. (2019). Decisions on spare parts allocation for repairable isolated system with dependent backorders. Computers & Industrial Engineering, 127, 8-20.
He, X., & Hu, W. (2014). Modeling relief demands in an emergency supply chain system under large-scale disasters based on a queuing network. The Scientific World Journal, 2014.
Hora, M. E. (1987). The unglamorous game of managing maintenance. Business Horizons, 30(3), 67-75.
Jiang, P., Huang, Y., & Liu, X. (2021). Intermittent demand forecasting for spare parts in the heavy-duty vehicle industry: a support vector machine model. International Journal of Production Research, 59(24), 7423-7440.
Jin, T., & Tian, Y. (2012). Optimizing reliability and service parts logistics for a time-varying installed base. European Journal of Operational Research, 218(1), 152-162.
Karush, W. (1957). A queuing model for an inventory problem. Operations research, 5(5), 693-703.
Kim, D. H., & Park, K. S. (1985). (Q, r) inventory model with a mixture of lost sales and time-weighted backorders. Journal of the Operational Research Society, 36, 231-238.
Kosanoglu, F., Turan, H. H., & Atmis, M. (2018). A simulated annealing algorithm for integrated decisions on spare part inventories and cross-training policies in repairable inventory systems. In Proceedings of International Conference on Computers and Industrial Engineering (pp. 1-14).
Liu, L., & Cheung, K. L. (1997). Service constrained inventory models with random lifetimes and lead times. Journal of the Operational Research Society, 48(10), 1022-1028.
Liu, Y., Dehghani, E., Jabalameli, M. S., Diabat, A., & Lu, C. C. (2020). A coordinated location-inventory problem with supply disruptions: A two-phase queuing theory–optimization model approach. Computers & industrial engineering, 142, 106326.
Melo, M. T., Nickel, S., & Saldanha-Da-Gama, F. (2009). Facility location and supply chain management–A review. European journal of operational research, 196(2), 401-412.
Moini, G., Teimoury, E., Seyedhosseini, S. M., Radfar, R., & Alborzi, M. (2021). A forward-reverse repairable spare part network considering inventory management. International Journal of Industrial Engineering, 32(4), 1-23.
Muckstadt, J. A. (1973). A model for a multi-item, multi-echelon, multi-indenture inventory system. Management science, 20(4-part-i), 472-481.
Öner, K. B., Franssen, R., Kiesmüller, G., & van Houtum, G. J. (2007, February). Life cycle costs measurement of complex systems manufactured by an engineer-to-order company. In The 17th international conference on flexible automation and intelligent manufacturing (pp. 569-589).
Özkan, E., van Houtum, G. J., & Serin, Y. (2015). A new approximate evaluation method for two-echelon inventory systems with emergency shipments. Annals of operations research, 224, 147-169.
Paydar, M. M., Babaveisi, V., & Safaei, A. S. (2017). An engine oil closed-loop supply chain design considering collection risk. Computers & Chemical Engineering, 104, 38-55.
Qin, X., Jiang, Z. Z., Sun, M., Tang, L., & Liu, X. (2021). Repairable spare parts provisioning for multiregional expanding fleets of equipment under performance-based contracting. Omega, 102, 102328.
Rappold, J. A., & Van Roo, B. D. (2009). Designing multi-echelon service parts networks with finite repair capacity. European Journal of Operational Research, 199(3), 781-792.
Schulze, S., & Weckenborg, S. (2012). Improving Forecasts for a Higher Sustainability in Spare Parts Logistics. Sustainable Manufacturing: Shaping Global Value Creation, 243-247.
Shaikh, A. A., Mondal, R., Bhattacharyya, A. N., Kumar, N., & Mandal, G. (2020). Analysis of a Two-Storage System for Advance Payment Policies with the Partial Backlogged Shortage. Advances in Industrial Engineering, 54(3), 221-242.
Shastri, A., Singh, S. R., Yadav, D., & Gupta, S. (2013). Multi-echelon supply chain management for deteriorating items with partial backordering under inflationary environment. Procedia Technology, 10, 320-329.
Sherbrooke, C. C. (1968). METRIC: A multi-echelon technique for recoverable item control. Operations research, 16(1), 122-141.
Taji, J., Farughi, H., & Rasay, H. (2022). A New Approach to Preventive Maintenance Planning Considering Non-Failure Stops and Failure Interdependence Between Components. Advances in Industrial Engineering, 56(2), 231-249.
Wang, Z., Hu, C., Wang, W., Kong, X., & Zhang, W. (2015). A prognostics-based spare part ordering and system replacement policy for a deteriorating system subjected to a random lead time. International Journal of Production Research, 53(15), 4511-4527.
van Wingerden, E., Tan, T., & Van Houtum, G. J. (2019). The impact of an emergency warehouse in a two-echelon spare parts network. European Journal of Operational Research, 276(3), 983-997.
Wong, H., Cattrysse, D., & Van Oudheusden, D. (2005). Stocking decisions for repairable spare parts pooling in a multi-hub system. International journal of production economics, 93, 309-317.
Yousefi-Babadi, A., Soleimani, N., & Shishebori, D. (2021). Capacitated Sustainable Resilient Closed-Loop Supply Chain Network Design: A Heuristics Algorithm. Advances in Industrial Engineering, 55(4), 447-479.
Zammori, F., Bertolini, M., & Mezzogori, D. (2020). A constructive algorithm to maximize the useful life of a mechanical system subjected to ageing, with non-resuppliable spares parts. International Journal of Industrial Engineering Computations, 11(1), 17-34.