How to cite this paper
Chiu, S., You, L., Sung, P & Wang, Y. (2020). Determining the fabrication runtime for a buyer-vendor system with stochastic breakdown, accelerated rate, repairable items, and multi-delivery strategy.International Journal of Industrial Engineering Computations , 11(4), 491-508.
Refrences
AlDurgam, M., Adegbola, K., & Glock, C.H. (2017). A single-vendor single-manufacturer integrated inventory model with stochastic demand and variable production rate. International Journal of Production Economics, 191, 335-350.
Arslan, H., Ayhan, H., & Olsen, T.L. (2001). Analytic models for when and how to expedite in make-to-order systems. IIE Transactions, 33(11), 1019-1029.
Batukhtin, A., Batukhtina, I., Bass, M., Batukhtin, S., Kobylkin, M., Baranovskaya, M., & Baranovskaya, A. (2019). Development and experimental verification of the mathematical model of thermal inertia for a branched heat supply system. Journal of Applied Engineering Science, 17(3), 413-424
Banerjee, A., & Banerjee, S. (1994). A coordinated order-up-to inventory control policy for a single supplier and multiple buyers using electronic data interchange. International Journal of Production Economics, 35, 85-91.
Bylka, S. (2003). Competitive and cooperative policies for the vendor-buyer system. (2003) International Journal of Production Economics, 81-82, 533-544.
Chiu, S.W., Wu, H.Y., Chiu, Y.-S.P., & Hwang, M.-H. (2018). Exploration of finite production rate model with overtime and rework of nonconforming products. Journal of King Saud University - Engineering Sciences, 30(3), 224-231.
Chiu, S.W., Huang, Y-J., Chiu, Y-S.P., Chiu, T. (2019a). Satisfying multiproduct demand with a FPR-based inventory system featuring expedited rate and scraps. International Journal of Industrial Engineering Computations, 10(3), 443-452.
Chiu, S.W., Wu, C-S., Tseng, C-T. (2019b). Incorporating an expedited rate, rework, and a multi-shipment policy into a multi-item stock refilling system. Operations Research Perspectives, 6, Art. No. 100115, 1-12.
Dan-asabe, B., Yaro, S.A., Yawas, D.S., Aku, S.Y. (2019). Statistical modeling and optimization of the flexural strength, water absorption and density of a doum palm-Kankara clay filler hybrid composite. Journal of King Saud University - Engineering Sciences, 31(4), 385-394.
Díaz-Mateus, Y., Forero, B., López-Ospina, H., Zambrano-Rey, G. (2018). Pricing and lot sizing optimization in a two-echelon supply chain with a constrained logit demand function. International Journal of Industrial Engineering Computations, 9(2), 205-220.
Gershwin, S.B., & Berman, O. (1981). Analysis of transfer lines consisting of two unreliable machines with random processing times and finite storage buffers. AIIE Transactions, 13(1), 2-11.
Ghalme, S., Mankar, A., & Bhalerao, Y. (2017). Integrated Taguchi-simulated annealing (SA) approach for analyzing wear behaviour of silicon nitride. Journal of Applied Research and Technology, 15(6), 624-632.
Gharbi, A., Pellerin, R., & Sadr, J. (2008). Production rate control for stochastic remanufacturing systems. International Journal of Production Economics, 112(1), 37-47.
Gong, L., & Matsuo, H. (1997). Control policy for a manufacturing system with random yield and rework. Journal of Optimization Theory and Applications, 95(1), 149-175.
Gunasekaran, A., Goyal, S.K., Subash Babu, A., & Ramaswamy, N. (1991). Effect of machine failures in a multi-stage multi-facility and multi-product production-inventory system. International Journal of Systems Science, 22(2), 273-291.
Iqbal, A., Ahmad, S.A., & Ojasvi (2019). Appropriate selections of distillation column control variable to improve integrating material recycle response. Journal of King Saud University - Engineering Sciences, 31(2), 106-113.
Kumar, M., Garg, D., & Agarwal, A. (2019). An analysis of inventory attributes in leagile supply chain: Cause and effect analysis. International Journal of Mathematical, Engineering and Management Sciences, 4(4), 870-881.
Lin, G.C., & Kroll, D.E. (2006). Economic lot sizing for an imperfect production system subject to random breakdowns. Engineering Optimization, 38(1), 73-92.
Moon, I., Gallego, G., & Simchi-Levi, D. (1991). Controllable production rates in a family production context. International Journal of Production Research, 29(12), 2459-2470.
Okonkwo, U.C., Onokpite, E., & Onokwai, A.O. (2018). Comparative study of the optimal ratio of biogas production from various organic wastes and weeds for digester/restarted digester. Journal of King Saud University - Engineering Sciences, 30(2), 123-129.
Rao, A.S., & Singh, A.K. (2018). Failure analysis of stainless steel lanyard wire rope. Journal of Applied Research and Technology, 16(1), 35-40.
Sethi, S.P., Zhang, H., & Zhang, Q. (2000). Optimal production rates in a deterministic two- product manufacturing system. Optimal Control Applications and Methods, 21(3), 125-135.
Urrea, C., & Pascal, J. (2018). Algorithms for the generation of autonomous routes. Journal of Applied Research and Technology, 16(5), 373-383.
Wenbin, Z., Frenkel, I., Guixiang, S., Bolvashenkov, I., Kammermann, J., Herzog, H.-G., & Khvatskin, L. (2019). Markov reward approach and reliability associated cost model for machine tools maintenance-planning optimization. International Journal of Mathematical, Engineering and Management Sciences, 4(4), 824-840.
Wijngaard, J. (1979). The effect of interstage buffer storage on the output of two unreliable production units in series, with different production rates. AIIE Transactions, 11(1), 42–47.
Yadavalli, V.S., Darbari, J.D., Bhayana, N., Jha, P.C., Agarwal, V. (2019). An integrated optimization model for selection of sustainable suppliers based on customers’ expectations. Operations Research Perspectives, 6, Art. No. 100113, 1-16.
Zahedi, Z., Salim, A., Yusriski, R., Haris, H. (2019). Optimization of an integrated batch production and maintenance scheduling on flow shop with two machines. International Journal of Industrial Engineering Computations, 10(2), 225-238.
Zhao, X., Qian, C., Nakamura, S., Nakagawa, T. (2018). A summary of replacement policies with number of failures. International Journal of Mathematical, Engineering and Management Sciences, 3(2), 136-150.
Arslan, H., Ayhan, H., & Olsen, T.L. (2001). Analytic models for when and how to expedite in make-to-order systems. IIE Transactions, 33(11), 1019-1029.
Batukhtin, A., Batukhtina, I., Bass, M., Batukhtin, S., Kobylkin, M., Baranovskaya, M., & Baranovskaya, A. (2019). Development and experimental verification of the mathematical model of thermal inertia for a branched heat supply system. Journal of Applied Engineering Science, 17(3), 413-424
Banerjee, A., & Banerjee, S. (1994). A coordinated order-up-to inventory control policy for a single supplier and multiple buyers using electronic data interchange. International Journal of Production Economics, 35, 85-91.
Bylka, S. (2003). Competitive and cooperative policies for the vendor-buyer system. (2003) International Journal of Production Economics, 81-82, 533-544.
Chiu, S.W., Wu, H.Y., Chiu, Y.-S.P., & Hwang, M.-H. (2018). Exploration of finite production rate model with overtime and rework of nonconforming products. Journal of King Saud University - Engineering Sciences, 30(3), 224-231.
Chiu, S.W., Huang, Y-J., Chiu, Y-S.P., Chiu, T. (2019a). Satisfying multiproduct demand with a FPR-based inventory system featuring expedited rate and scraps. International Journal of Industrial Engineering Computations, 10(3), 443-452.
Chiu, S.W., Wu, C-S., Tseng, C-T. (2019b). Incorporating an expedited rate, rework, and a multi-shipment policy into a multi-item stock refilling system. Operations Research Perspectives, 6, Art. No. 100115, 1-12.
Dan-asabe, B., Yaro, S.A., Yawas, D.S., Aku, S.Y. (2019). Statistical modeling and optimization of the flexural strength, water absorption and density of a doum palm-Kankara clay filler hybrid composite. Journal of King Saud University - Engineering Sciences, 31(4), 385-394.
Díaz-Mateus, Y., Forero, B., López-Ospina, H., Zambrano-Rey, G. (2018). Pricing and lot sizing optimization in a two-echelon supply chain with a constrained logit demand function. International Journal of Industrial Engineering Computations, 9(2), 205-220.
Gershwin, S.B., & Berman, O. (1981). Analysis of transfer lines consisting of two unreliable machines with random processing times and finite storage buffers. AIIE Transactions, 13(1), 2-11.
Ghalme, S., Mankar, A., & Bhalerao, Y. (2017). Integrated Taguchi-simulated annealing (SA) approach for analyzing wear behaviour of silicon nitride. Journal of Applied Research and Technology, 15(6), 624-632.
Gharbi, A., Pellerin, R., & Sadr, J. (2008). Production rate control for stochastic remanufacturing systems. International Journal of Production Economics, 112(1), 37-47.
Gong, L., & Matsuo, H. (1997). Control policy for a manufacturing system with random yield and rework. Journal of Optimization Theory and Applications, 95(1), 149-175.
Gunasekaran, A., Goyal, S.K., Subash Babu, A., & Ramaswamy, N. (1991). Effect of machine failures in a multi-stage multi-facility and multi-product production-inventory system. International Journal of Systems Science, 22(2), 273-291.
Iqbal, A., Ahmad, S.A., & Ojasvi (2019). Appropriate selections of distillation column control variable to improve integrating material recycle response. Journal of King Saud University - Engineering Sciences, 31(2), 106-113.
Kumar, M., Garg, D., & Agarwal, A. (2019). An analysis of inventory attributes in leagile supply chain: Cause and effect analysis. International Journal of Mathematical, Engineering and Management Sciences, 4(4), 870-881.
Lin, G.C., & Kroll, D.E. (2006). Economic lot sizing for an imperfect production system subject to random breakdowns. Engineering Optimization, 38(1), 73-92.
Moon, I., Gallego, G., & Simchi-Levi, D. (1991). Controllable production rates in a family production context. International Journal of Production Research, 29(12), 2459-2470.
Okonkwo, U.C., Onokpite, E., & Onokwai, A.O. (2018). Comparative study of the optimal ratio of biogas production from various organic wastes and weeds for digester/restarted digester. Journal of King Saud University - Engineering Sciences, 30(2), 123-129.
Rao, A.S., & Singh, A.K. (2018). Failure analysis of stainless steel lanyard wire rope. Journal of Applied Research and Technology, 16(1), 35-40.
Sethi, S.P., Zhang, H., & Zhang, Q. (2000). Optimal production rates in a deterministic two- product manufacturing system. Optimal Control Applications and Methods, 21(3), 125-135.
Urrea, C., & Pascal, J. (2018). Algorithms for the generation of autonomous routes. Journal of Applied Research and Technology, 16(5), 373-383.
Wenbin, Z., Frenkel, I., Guixiang, S., Bolvashenkov, I., Kammermann, J., Herzog, H.-G., & Khvatskin, L. (2019). Markov reward approach and reliability associated cost model for machine tools maintenance-planning optimization. International Journal of Mathematical, Engineering and Management Sciences, 4(4), 824-840.
Wijngaard, J. (1979). The effect of interstage buffer storage on the output of two unreliable production units in series, with different production rates. AIIE Transactions, 11(1), 42–47.
Yadavalli, V.S., Darbari, J.D., Bhayana, N., Jha, P.C., Agarwal, V. (2019). An integrated optimization model for selection of sustainable suppliers based on customers’ expectations. Operations Research Perspectives, 6, Art. No. 100113, 1-16.
Zahedi, Z., Salim, A., Yusriski, R., Haris, H. (2019). Optimization of an integrated batch production and maintenance scheduling on flow shop with two machines. International Journal of Industrial Engineering Computations, 10(2), 225-238.
Zhao, X., Qian, C., Nakamura, S., Nakagawa, T. (2018). A summary of replacement policies with number of failures. International Journal of Mathematical, Engineering and Management Sciences, 3(2), 136-150.