How to cite this paper
Lin, H., Chiu, V., Wu, H & Chiu, Y. (2022). Multiproduct manufacturer-retailer coordinated supply chain with adjustable rate for common parts, delayed differentiation, and multi-shipment.Uncertain Supply Chain Management, 10(1), 83-94.
Refrences
Astuty, W., Zufrizal, Pasaribu, F., & Rahayu, S. (2021). The effects of customer relationship management, human resource competence and internal control systems on the effectiveness of supply chain management in the Indonesian public sector. Uncertain Supply Chain Management, 9(3), 595-602.
Brahmi, A., Hadj-Alouane, A.B., & Sboui, S. (2020). Dynamic and reactive optimization of physical and financial flows in the supply chain. International Journal of Industrial Engineering Computations, 11(1), 83-106.
Chiu, S.W., Wu, H.Y., Chiu, T., & Chiu, Y.-S.P. (2021). Multi-item production lot sizing with postponement, external source for common parts, and adjustable rate for end products. International Journal of Mathematical, Engineering and Management Sciences, 6(3), 787-804.
Davis, T., & Sasser, M. (1995). Postponing product differentiation. Mechanical Engineering, 117(11), 105-107.
Dellagi, S., Chelbi, A., & Trabelsi, W. (2017). Joint integrated production-maintenance policy with production plan smoothing through production rate control. Journal of Manufacturing Systems, 42, 262-270.
Ekin, T., & Aktekin, T. (2021). Decision making under uncertain and dependent system rates in service systems. European Journal of Operational Research, 291(1), 335-348.
Fatehi-Kivi, A., Mehdizadeh, E., Tavakkoli-Moghaddam, R., & Najafi, E. (2021). Solving a Multi-Item Supply Chain Network Problem by Three Meta-heuristic Algorithms. Journal of Optimization in Industrial Engineering, 14(2), 145-151.
Frank, M., Ostermeier, M., Holzapfel, A., Hübner, A., & Kuhn, H. (2021). Optimizing routing and delivery patterns with multi-compartment vehicles. European Journal of Operational Research, 293(2), 495-510.
Garcia, A., Leal, M., & Lee, S.-H. (2020). Cooperation with a multiproduct corporation in a strategic managerial delegation. Managerial and Decision Economics, 41(1), 3-9.
Graman, G.A. (2010) A partial-postponement decision cost model. European Journal of Operational Research, 201(1), 34-44.
İnkaya, T., Armbruster, D., Li, H., & Kempf, K.G. (2018). Product variety strategies for vertically differentiated products in a two-stage supply chain. International Journal of Production Research, 56(17), 5930-5944.
Katayama, H. (1998). An integrated management procedure of multi-item mixed-line production system - Its hierarchical structure and performance evaluation. International Journal of Production Research, 36(10), 2633-2651.
Martins, L.D.C., Gonzalez-Neira, E.M., Hatami, S., Juan, A.A., & Montoya-Torres, J.R. (2021). Combining production and distribution in supply chains: The hybrid flow-shop vehicle routing problem. Computers and Industrial Engineering, 159, Art. No. 107486.
Nahmias, S. (2009). Production & Operations Analysis. McGraw-Hill, New York, 183-205.
Ohmori, S., & Yoshimoto, K. (2021). Multi-product multi-vehicle inventory routing problem with vehicle compatibility and site dependency: A case study in the restaurant chain industry. Uncertain Supply Chain Management, 9(2), 351-362.
Ongcunaruk, W., Ongkunaruk, P., & Janssens, G.K. (2021). Genetic algorithm for a delivery problem with mixed time windows. Computers and Industrial Engineering, 159, Art. No. 107478.
Pando, V., San-José, L.A., Sicilia, J., & Alcaide-López-de-Pablo, D. (2021). Maximization of the return on inventory management expense in a system with price- and stock-dependent demand rate. Computers and Operations Research, 127, Art. No. 105134.
Quetschlich, M., Moetz, A., & Otto, B. (2021). Optimisation model for multi-item multi-echelon supply chains with nested multi-level products. European Journal of Operational Research, 290(1), 144-158.
Rajagopalan, S., & Swaminathan, J.M. (2001). A coordinated production planning model with capacity expansion and inventory management. Management Science, 47(11), 1562-1580.
Rardin, R.L. (1998). Optimization in Operations Research. Prentice-Hall; New Jersey, USA.
Samuel, C.N., Diallo, C., Venkatadri, U., & Ghayebloo, S. (2021). Multicomponent multiproduct closed-loop supply chain design with transshipment and economies of scale considerations. Computers and Industrial Engineering, 153, Art. No. 107073.
Schneider, H., & Rinks, D.B. (1989). Optimal policy surfaces for a multi-item inventory problem. European Journal of Operational Research, 39(2), 180-191.
Sharma, S. (2008). A modification for the carrying cost estimation with respect to the flexibility in production rate. International Journal of Advanced Manufacturing Technology, 36(11-12), pp. 1252-1260.
Sheikh, S., Komaki, G.M., Kayvanfar, V., & Teymourian, E. (2019). Multi-Stage assembly flow shop with setup time and release time. Operations Research Perspectives, 6(2019), Art. No. 100111, 1-15.
Tolooie, A., Maity, M., & Sinha, A.K. (2020). A two-stage stochastic mixed-integer program for reliable supply chain network design under uncertain disruptions and demand. Computers and Industrial Engineering, 148, Art. No. 106722
Weskamp, C., Koberstein, A., Schwartz, F., Suhl, L., & Voß, S. (2019). A two-stage stochastic programming approach for identifying optimal postponement strategies in supply chains with uncertain demand. Omega, 83, 123-138.
Yang, J., Yan, H., & Taksar, M.I. (2000). Optimal production and setup scheduling: A one-machine, two-product system. Annals of Operations Research, 98(1-4), 291-311.
Brahmi, A., Hadj-Alouane, A.B., & Sboui, S. (2020). Dynamic and reactive optimization of physical and financial flows in the supply chain. International Journal of Industrial Engineering Computations, 11(1), 83-106.
Chiu, S.W., Wu, H.Y., Chiu, T., & Chiu, Y.-S.P. (2021). Multi-item production lot sizing with postponement, external source for common parts, and adjustable rate for end products. International Journal of Mathematical, Engineering and Management Sciences, 6(3), 787-804.
Davis, T., & Sasser, M. (1995). Postponing product differentiation. Mechanical Engineering, 117(11), 105-107.
Dellagi, S., Chelbi, A., & Trabelsi, W. (2017). Joint integrated production-maintenance policy with production plan smoothing through production rate control. Journal of Manufacturing Systems, 42, 262-270.
Ekin, T., & Aktekin, T. (2021). Decision making under uncertain and dependent system rates in service systems. European Journal of Operational Research, 291(1), 335-348.
Fatehi-Kivi, A., Mehdizadeh, E., Tavakkoli-Moghaddam, R., & Najafi, E. (2021). Solving a Multi-Item Supply Chain Network Problem by Three Meta-heuristic Algorithms. Journal of Optimization in Industrial Engineering, 14(2), 145-151.
Frank, M., Ostermeier, M., Holzapfel, A., Hübner, A., & Kuhn, H. (2021). Optimizing routing and delivery patterns with multi-compartment vehicles. European Journal of Operational Research, 293(2), 495-510.
Garcia, A., Leal, M., & Lee, S.-H. (2020). Cooperation with a multiproduct corporation in a strategic managerial delegation. Managerial and Decision Economics, 41(1), 3-9.
Graman, G.A. (2010) A partial-postponement decision cost model. European Journal of Operational Research, 201(1), 34-44.
İnkaya, T., Armbruster, D., Li, H., & Kempf, K.G. (2018). Product variety strategies for vertically differentiated products in a two-stage supply chain. International Journal of Production Research, 56(17), 5930-5944.
Katayama, H. (1998). An integrated management procedure of multi-item mixed-line production system - Its hierarchical structure and performance evaluation. International Journal of Production Research, 36(10), 2633-2651.
Martins, L.D.C., Gonzalez-Neira, E.M., Hatami, S., Juan, A.A., & Montoya-Torres, J.R. (2021). Combining production and distribution in supply chains: The hybrid flow-shop vehicle routing problem. Computers and Industrial Engineering, 159, Art. No. 107486.
Nahmias, S. (2009). Production & Operations Analysis. McGraw-Hill, New York, 183-205.
Ohmori, S., & Yoshimoto, K. (2021). Multi-product multi-vehicle inventory routing problem with vehicle compatibility and site dependency: A case study in the restaurant chain industry. Uncertain Supply Chain Management, 9(2), 351-362.
Ongcunaruk, W., Ongkunaruk, P., & Janssens, G.K. (2021). Genetic algorithm for a delivery problem with mixed time windows. Computers and Industrial Engineering, 159, Art. No. 107478.
Pando, V., San-José, L.A., Sicilia, J., & Alcaide-López-de-Pablo, D. (2021). Maximization of the return on inventory management expense in a system with price- and stock-dependent demand rate. Computers and Operations Research, 127, Art. No. 105134.
Quetschlich, M., Moetz, A., & Otto, B. (2021). Optimisation model for multi-item multi-echelon supply chains with nested multi-level products. European Journal of Operational Research, 290(1), 144-158.
Rajagopalan, S., & Swaminathan, J.M. (2001). A coordinated production planning model with capacity expansion and inventory management. Management Science, 47(11), 1562-1580.
Rardin, R.L. (1998). Optimization in Operations Research. Prentice-Hall; New Jersey, USA.
Samuel, C.N., Diallo, C., Venkatadri, U., & Ghayebloo, S. (2021). Multicomponent multiproduct closed-loop supply chain design with transshipment and economies of scale considerations. Computers and Industrial Engineering, 153, Art. No. 107073.
Schneider, H., & Rinks, D.B. (1989). Optimal policy surfaces for a multi-item inventory problem. European Journal of Operational Research, 39(2), 180-191.
Sharma, S. (2008). A modification for the carrying cost estimation with respect to the flexibility in production rate. International Journal of Advanced Manufacturing Technology, 36(11-12), pp. 1252-1260.
Sheikh, S., Komaki, G.M., Kayvanfar, V., & Teymourian, E. (2019). Multi-Stage assembly flow shop with setup time and release time. Operations Research Perspectives, 6(2019), Art. No. 100111, 1-15.
Tolooie, A., Maity, M., & Sinha, A.K. (2020). A two-stage stochastic mixed-integer program for reliable supply chain network design under uncertain disruptions and demand. Computers and Industrial Engineering, 148, Art. No. 106722
Weskamp, C., Koberstein, A., Schwartz, F., Suhl, L., & Voß, S. (2019). A two-stage stochastic programming approach for identifying optimal postponement strategies in supply chains with uncertain demand. Omega, 83, 123-138.
Yang, J., Yan, H., & Taksar, M.I. (2000). Optimal production and setup scheduling: A one-machine, two-product system. Annals of Operations Research, 98(1-4), 291-311.