6
How to cite this paper
APA: Noroozi, A., Mazdeh, M., Heydari, M & Rasti-Barzoki, M. (2019). Coordinating order acceptance and integrated lot streaming-batch delivery scheduling considering third party logistics. Uncertain Supply Chain Management, 7(1), 73-96.
Chicago/Turabian: Noroozi, A., Mazdeh, M., Heydari, M & Rasti-Barzoki, M. 2019. "Coordinating order acceptance and integrated lot streaming-batch delivery scheduling considering third party logistics." Uncertain Supply Chain Management 7, no. 1 (2019): 73-96.
AMA: Noroozi, A., Mazdeh, M., Heydari, M & Rasti-Barzoki, M. Coordinating order acceptance and integrated lot streaming-batch delivery scheduling considering third party logistics. Uncertain Supply Chain Management. 2019;7(1):73-96.
References
Agnetis, A., Aloulou, M. A., & Fu, L.-L. (2014). Coordination of production and interstage batch delivery with outsourced distribution. European Journal of Operational Research, 238(1), 130-142.
Agnetis, A., Aloulou, M. A., & Kovalyov, M. Y. (2017). Integrated production scheduling and batch delivery with fixed departure times and inventory holding costs International Journal of Production Research, 55, 6193-6206).
Aguezzoul, A. (2014). Third-party logistics selection problem: A literature review on criteria and methods. Omega, 49, 69-78.
Ahmadizar, F., & Farhadi, S. (2015). Single-machine batch delivery scheduling with job release dates, due windows and earliness, tardiness, holding and delivery costs. Computers & Operations Research, 53, 194-205.
Ahonen, H., & de Alvarenga, A. G. (2017). Scheduling flexible flow shop with recirculation and machine sequence-dependent processing times: formulation and solution procedures. The International Journal of Advanced Manufacturing Technology, 89(1-4), 765-777.
Assarzadegan, P., & Rasti-Barzoki, M. (2016). Minimizing sum of the due date assignment costs, maximum tardiness and distribution costs in a supply chain scheduling problem. Applied Soft Computing, 47, 343-356.
Bożek, A., & Werner, F. (2017). Flexible job shop scheduling with lot streaming and sublot size optimisation. International Journal of Production Research, 1-21.
Cesaret, B., Oğuz, C., & Salman, F. S. (2012). A tabu search algorithm for order acceptance and scheduling. Computers & Operations Research, 39(6), 1197-1205.
Chaurasia, S. N., & Singh, A. (2016). Hybrid evolutionary approaches for the single machine order acceptance and scheduling problem. Applied Soft Computing.
Chaurasia, S. N., & Singh, A. (2017). Hybrid evolutionary approaches for the single machine order acceptance and scheduling problem. Applied Soft Computing, 52, 725-747.
Chen, C., Yang, Z., Tan, Y., & He, R. (2014). Diversity controlling genetic algorithm for order acceptance and scheduling problem. Mathematical Problems in Engineering, 2014.
Chen, Z.-L. (2010). Integrated production and outbound distribution scheduling: review and extensions. Operations Research, 58(1), 130-148.
Cheng, M., Mukherjee, N., & Sarin, S. (2013). A review of lot streaming. International Journal of Production Research, 51(23-24), 7023-7046.
Cheng, M., Sarin, S. C., & Singh, S. (2016). Two-stage, single-lot, lot streaming problem for a 1+ 2 hybrid flow shop. Journal of Global Optimization, 66(2), 263-290.
Duarte, M., Cepeda, J., González-Neira, E., Barrera, D., Cortés, V., & Rey, G. (2017). Performance evaluation of a GRASP-based approach for stochastic scheduling problems. Uncertain Supply Chain Management, 5(4), 359-368.
Emami, S., Sabbagh, M., & Moslehi, G. (2016). A Lagrangian relaxation algorithm for order acceptance and scheduling problem: a globalised robust optimisation approach. International Journal of Computer Integrated Manufacturing, 29(5), 535-560.
Esmaeilbeigi, R., Charkhgard, P., & Charkhgard, H. (2016). Order acceptance and scheduling problems in two-machine flow shops: new mixed integer programming formulations. European Journal of Operational Research, 251(2), 419-431.
Gao, S., Qi, L., & Lei, L. (2015). Integrated batch production and distribution scheduling with limited vehicle capacity. International Journal of Production Economics, 160, 13-25.
Gong, H., Tang, L., & Leung, J. Y. (2016). Parallel machine scheduling with batch deliveries to minimize total flow time and delivery cost. Naval Research Logistics (NRL), 63(6), 492-502.
Han, Y., Gong, D., Jin, Y., & Pan, Q.-k. (2016). Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time. Applied Soft Computing, 42, 229-245.
Hassanzadeh, A., Rasti-Barzoki, M., & Khosroshahi, H. (2016). Two new meta-heuristics for a bi-objective supply chain scheduling problem in flow-shop environment. Applied Soft Computing, 49, 335-351.
Herbots, J., Herroelen, W., & Leus, R. (2007). Dynamic order acceptance and capacity planning on a single bottleneck resource. Naval Research Logistics (NRL), 54(8), 874-889.
Lalitha, J. L., Mohan, N., & Pillai, V. M. (2017). Lot streaming in [N-1](1)+ N (m) hybrid flow shop. Journal of Manufacturing Systems, 44, 12-21.
Lei, D., & Guo, X. (2015). A parallel neighborhood search for order acceptance and scheduling in flow shop environment. International Journal of Production Economics, 165, 12-18.
Mazdeh, M. M., Haddadm, H., & Ghanbari, P. (2012). Solving a single machine stochastic scheduling problem using a branch and bound algorithm and simulated annealing. International Journal of Management Science and Engineering Management, 7(2), 110-118.
Mazdeh, M. M., & Rostami, M. (2014). A branch-and-bound algorithm for two-machine flow-shop scheduling problems with batch delivery costs. International Journal of Systems Science: Operations & Logistics, 1(2), 94-104.
Mazdeh, M. M., Rostami, M., & Namaki, M. H. (2013). Minimizing maximum tardiness and delivery costs in a batched delivery system. Computers & Industrial Engineering, 66(4), 675-682.
Mazdeh, M. M., Shashaani, S., Ashouri, A., & Hindi, K. S. (2011). Single-machine batch scheduling minimizing weighted flow times and delivery costs. Applied Mathematical Modelling, 35(1), 563-570.
Mehri, S., Roghanian, E., & Khodadadzadeh, T. (2013). A methodology for outsourcing resources in reverse logistics using fuzzy TOPSIS and fuzzy linear programming. Uncertain Supply Chain Management, 1(2), 107-114.
Mukherjee, N. J., Sarin, S. C., & Singh, S. (2017). Lot streaming in the presence of learning in sublot-attached setup times and processing times. International Journal of Production Research, 55(6), 1623-1639.
Nejati, M., Mahdavi, I., Hassanzadeh, R., & Mahdavi-Amiri, N. (2016). Lot streaming in a two-stage assembly hybrid flow shop scheduling problem with a work shift constraint. Journal of Industrial and Production Engineering, 33(7), 459-471.
Nguyen, S. (2016). A learning and optimizing system for order acceptance and scheduling. The International Journal of Advanced Manufacturing Technology, 1-16.
Nobibon, F. T., & Leus, R. (2011). Exact algorithms for a generalization of the order acceptance and scheduling problem in a single-machine environment. Computers & Operations Research, 38(1), 367-378.
Noroozi, A., Mazdeh, M. M., Heydari, M., & Rasti-Barzoki, M. (2018). Coordinating order acceptance and integrated production-distribution scheduling with batch delivery considering Third Party Logistics distribution. Journal of Manufacturing Systems, 46, 29-45.
Noroozi, A., Mazdeh, M. M., Noghondarian, K., Rasti-Barzoki, M., & Heydari, M. (2017). Evolutionary computation algorithms to coordinating order acceptance and batch delivery for an integrated supply chain scheduling. Computational and Applied Mathematics, 1-51.
Noroozi, A., & Mokhtari, H. (2015). Scheduling of printed circuit board (PCB) assembly systems with heterogeneous processors using simulation-based intelligent optimization methods. Neural Computing and Applications, 26(4), 857-873.
Ou, J., & Zhong, X. (2016). Order acceptance and scheduling with consideration of service level. Annals of Operations Research, 1-19.
Pourghahreman, N., & Qhatari, A. (2015). Supplier selection in an agent based pharmaceutical supply chain: An application of TOPSIS and PROMETHEE Π. Uncertain Supply Chain Management, 3(3), 231-240.
Rahchamandi, E., & Fallahi, K. (2014). An investigation on logistics outsourcing on exports of minerals goods. Uncertain Supply Chain Management, 2(3), 163-166.
Rasti-Barzoki, M., & Hejazi, S. R. (2013). Minimizing the weighted number of tardy jobs with due date assignment and capacity-constrained deliveries for multiple customers in supply chains. European Journal of Operational Research, 228(2), 345-357.
Rasti-Barzoki, M., Hejazi, S. R., & Mazdeh, M. M. (2013). A branch and bound algorithm to minimize the total weighed number of tardy jobs and delivery costs. Applied Mathematical Modelling, 37(7), 4924-4937.
Reisi-Nafchi, M., & Moslehi, G. (2015a). A hybrid genetic and linear programming algorithm for two-agent order acceptance and scheduling problem. Applied Soft Computing, 33, 37-47.
Reisi–Nafchi, M., & Moslehi, G. (2015b). Integrating two–agent scheduling and order acceptance problems to maximise total revenue by bounding each agent penalty function. International Journal of Services and Operations Management, 20(3), 358-384.
Rostami, M., Kheirandish, O., & Ansari, N. (2015). Minimizing maximum tardiness and delivery costs with batch delivery and job release times. Applied Mathematical Modelling, 39(16), 4909-4927.
Sang, H.-Y., Pan, Q.-K., Duan, P.-Y., & Li, J.-Q. (2015). An effective discrete invasive weed optimization algorithm for lot-streaming flowshop scheduling problems. Journal of Intelligent Manufacturing, 1-13.
Silva, Y. L. T., Subramanian, A., & Pessoa, A. A. (2018). Exact and heuristic algorithms for order acceptance and scheduling with sequence-dependent setup times. Computers & Operations Research, 90, 142-160.
Slotnick, S. A. (2011). Order acceptance and scheduling: A taxonomy and review. European Journal of Operational Research, 212(1), 1-11.
Tang, D., Dai, M., Salido, M. A., & Giret, A. (2016). Energy-efficient dynamic scheduling for a flexible flow shop using an improved particle swarm optimization. Computers in Industry, 81, 82-95.
Thevenin, S., Zufferey, N., & Widmer, M. (2016). Order acceptance and scheduling with earliness and tardiness penalties. Journal of Heuristics, 22(6), 849-890.
Vroblefski, M., Ramesh, R., & Zionts, S. (2000). Efficient lot-sizing under a differential transportation cost structure for serially distributed warehouses. European Journal of Operational Research, 127(3), 574-593.
Wan, L., & Zhang, A. (2014). Coordinated scheduling on parallel machines with batch delivery. International Journal of Production Economics, 150, 199-203.
Wang, X., Xie, X., & Cheng, T. (2013). Order acceptance and scheduling in a two-machine flowshop. International Journal of Production Economics, 141(1), 366-376.
Xie, X., & Wang, X. (2016). An enhanced ABC algorithm for single machine order acceptance and scheduling with class setups. Applied Soft Computing, 44, 255-266.
Yin, Y., Cheng, T., Wu, C.-C., & Cheng, S.-R. (2014). Single-machine batch delivery scheduling and common due-date assignment with a rate-modifying activity. International Journal of Production Research, 52(19), 5583-5596.
Yin, Y., Wang, Y., Cheng, T., Wang, D.-J., & Wu, C.-C. (2016). Two-agent single-machine scheduling to minimize the batch delivery cost. Computers & Industrial Engineering, 92, 16-30.
Zhang, B., Pan, Q.-k., Gao, L., Zhang, X.-l., Sang, H.-y., & Li, J.-q. (2017). An effective modified migrating birds optimization for hybrid flowshop scheduling problem with lot streaming. Applied Soft Computing, 52, 14-27.
Agnetis, A., Aloulou, M. A., & Kovalyov, M. Y. (2017). Integrated production scheduling and batch delivery with fixed departure times and inventory holding costs International Journal of Production Research, 55, 6193-6206).
Aguezzoul, A. (2014). Third-party logistics selection problem: A literature review on criteria and methods. Omega, 49, 69-78.
Ahmadizar, F., & Farhadi, S. (2015). Single-machine batch delivery scheduling with job release dates, due windows and earliness, tardiness, holding and delivery costs. Computers & Operations Research, 53, 194-205.
Ahonen, H., & de Alvarenga, A. G. (2017). Scheduling flexible flow shop with recirculation and machine sequence-dependent processing times: formulation and solution procedures. The International Journal of Advanced Manufacturing Technology, 89(1-4), 765-777.
Assarzadegan, P., & Rasti-Barzoki, M. (2016). Minimizing sum of the due date assignment costs, maximum tardiness and distribution costs in a supply chain scheduling problem. Applied Soft Computing, 47, 343-356.
Bożek, A., & Werner, F. (2017). Flexible job shop scheduling with lot streaming and sublot size optimisation. International Journal of Production Research, 1-21.
Cesaret, B., Oğuz, C., & Salman, F. S. (2012). A tabu search algorithm for order acceptance and scheduling. Computers & Operations Research, 39(6), 1197-1205.
Chaurasia, S. N., & Singh, A. (2016). Hybrid evolutionary approaches for the single machine order acceptance and scheduling problem. Applied Soft Computing.
Chaurasia, S. N., & Singh, A. (2017). Hybrid evolutionary approaches for the single machine order acceptance and scheduling problem. Applied Soft Computing, 52, 725-747.
Chen, C., Yang, Z., Tan, Y., & He, R. (2014). Diversity controlling genetic algorithm for order acceptance and scheduling problem. Mathematical Problems in Engineering, 2014.
Chen, Z.-L. (2010). Integrated production and outbound distribution scheduling: review and extensions. Operations Research, 58(1), 130-148.
Cheng, M., Mukherjee, N., & Sarin, S. (2013). A review of lot streaming. International Journal of Production Research, 51(23-24), 7023-7046.
Cheng, M., Sarin, S. C., & Singh, S. (2016). Two-stage, single-lot, lot streaming problem for a 1+ 2 hybrid flow shop. Journal of Global Optimization, 66(2), 263-290.
Duarte, M., Cepeda, J., González-Neira, E., Barrera, D., Cortés, V., & Rey, G. (2017). Performance evaluation of a GRASP-based approach for stochastic scheduling problems. Uncertain Supply Chain Management, 5(4), 359-368.
Emami, S., Sabbagh, M., & Moslehi, G. (2016). A Lagrangian relaxation algorithm for order acceptance and scheduling problem: a globalised robust optimisation approach. International Journal of Computer Integrated Manufacturing, 29(5), 535-560.
Esmaeilbeigi, R., Charkhgard, P., & Charkhgard, H. (2016). Order acceptance and scheduling problems in two-machine flow shops: new mixed integer programming formulations. European Journal of Operational Research, 251(2), 419-431.
Gao, S., Qi, L., & Lei, L. (2015). Integrated batch production and distribution scheduling with limited vehicle capacity. International Journal of Production Economics, 160, 13-25.
Gong, H., Tang, L., & Leung, J. Y. (2016). Parallel machine scheduling with batch deliveries to minimize total flow time and delivery cost. Naval Research Logistics (NRL), 63(6), 492-502.
Han, Y., Gong, D., Jin, Y., & Pan, Q.-k. (2016). Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time. Applied Soft Computing, 42, 229-245.
Hassanzadeh, A., Rasti-Barzoki, M., & Khosroshahi, H. (2016). Two new meta-heuristics for a bi-objective supply chain scheduling problem in flow-shop environment. Applied Soft Computing, 49, 335-351.
Herbots, J., Herroelen, W., & Leus, R. (2007). Dynamic order acceptance and capacity planning on a single bottleneck resource. Naval Research Logistics (NRL), 54(8), 874-889.
Lalitha, J. L., Mohan, N., & Pillai, V. M. (2017). Lot streaming in [N-1](1)+ N (m) hybrid flow shop. Journal of Manufacturing Systems, 44, 12-21.
Lei, D., & Guo, X. (2015). A parallel neighborhood search for order acceptance and scheduling in flow shop environment. International Journal of Production Economics, 165, 12-18.
Mazdeh, M. M., Haddadm, H., & Ghanbari, P. (2012). Solving a single machine stochastic scheduling problem using a branch and bound algorithm and simulated annealing. International Journal of Management Science and Engineering Management, 7(2), 110-118.
Mazdeh, M. M., & Rostami, M. (2014). A branch-and-bound algorithm for two-machine flow-shop scheduling problems with batch delivery costs. International Journal of Systems Science: Operations & Logistics, 1(2), 94-104.
Mazdeh, M. M., Rostami, M., & Namaki, M. H. (2013). Minimizing maximum tardiness and delivery costs in a batched delivery system. Computers & Industrial Engineering, 66(4), 675-682.
Mazdeh, M. M., Shashaani, S., Ashouri, A., & Hindi, K. S. (2011). Single-machine batch scheduling minimizing weighted flow times and delivery costs. Applied Mathematical Modelling, 35(1), 563-570.
Mehri, S., Roghanian, E., & Khodadadzadeh, T. (2013). A methodology for outsourcing resources in reverse logistics using fuzzy TOPSIS and fuzzy linear programming. Uncertain Supply Chain Management, 1(2), 107-114.
Mukherjee, N. J., Sarin, S. C., & Singh, S. (2017). Lot streaming in the presence of learning in sublot-attached setup times and processing times. International Journal of Production Research, 55(6), 1623-1639.
Nejati, M., Mahdavi, I., Hassanzadeh, R., & Mahdavi-Amiri, N. (2016). Lot streaming in a two-stage assembly hybrid flow shop scheduling problem with a work shift constraint. Journal of Industrial and Production Engineering, 33(7), 459-471.
Nguyen, S. (2016). A learning and optimizing system for order acceptance and scheduling. The International Journal of Advanced Manufacturing Technology, 1-16.
Nobibon, F. T., & Leus, R. (2011). Exact algorithms for a generalization of the order acceptance and scheduling problem in a single-machine environment. Computers & Operations Research, 38(1), 367-378.
Noroozi, A., Mazdeh, M. M., Heydari, M., & Rasti-Barzoki, M. (2018). Coordinating order acceptance and integrated production-distribution scheduling with batch delivery considering Third Party Logistics distribution. Journal of Manufacturing Systems, 46, 29-45.
Noroozi, A., Mazdeh, M. M., Noghondarian, K., Rasti-Barzoki, M., & Heydari, M. (2017). Evolutionary computation algorithms to coordinating order acceptance and batch delivery for an integrated supply chain scheduling. Computational and Applied Mathematics, 1-51.
Noroozi, A., & Mokhtari, H. (2015). Scheduling of printed circuit board (PCB) assembly systems with heterogeneous processors using simulation-based intelligent optimization methods. Neural Computing and Applications, 26(4), 857-873.
Ou, J., & Zhong, X. (2016). Order acceptance and scheduling with consideration of service level. Annals of Operations Research, 1-19.
Pourghahreman, N., & Qhatari, A. (2015). Supplier selection in an agent based pharmaceutical supply chain: An application of TOPSIS and PROMETHEE Π. Uncertain Supply Chain Management, 3(3), 231-240.
Rahchamandi, E., & Fallahi, K. (2014). An investigation on logistics outsourcing on exports of minerals goods. Uncertain Supply Chain Management, 2(3), 163-166.
Rasti-Barzoki, M., & Hejazi, S. R. (2013). Minimizing the weighted number of tardy jobs with due date assignment and capacity-constrained deliveries for multiple customers in supply chains. European Journal of Operational Research, 228(2), 345-357.
Rasti-Barzoki, M., Hejazi, S. R., & Mazdeh, M. M. (2013). A branch and bound algorithm to minimize the total weighed number of tardy jobs and delivery costs. Applied Mathematical Modelling, 37(7), 4924-4937.
Reisi-Nafchi, M., & Moslehi, G. (2015a). A hybrid genetic and linear programming algorithm for two-agent order acceptance and scheduling problem. Applied Soft Computing, 33, 37-47.
Reisi–Nafchi, M., & Moslehi, G. (2015b). Integrating two–agent scheduling and order acceptance problems to maximise total revenue by bounding each agent penalty function. International Journal of Services and Operations Management, 20(3), 358-384.
Rostami, M., Kheirandish, O., & Ansari, N. (2015). Minimizing maximum tardiness and delivery costs with batch delivery and job release times. Applied Mathematical Modelling, 39(16), 4909-4927.
Sang, H.-Y., Pan, Q.-K., Duan, P.-Y., & Li, J.-Q. (2015). An effective discrete invasive weed optimization algorithm for lot-streaming flowshop scheduling problems. Journal of Intelligent Manufacturing, 1-13.
Silva, Y. L. T., Subramanian, A., & Pessoa, A. A. (2018). Exact and heuristic algorithms for order acceptance and scheduling with sequence-dependent setup times. Computers & Operations Research, 90, 142-160.
Slotnick, S. A. (2011). Order acceptance and scheduling: A taxonomy and review. European Journal of Operational Research, 212(1), 1-11.
Tang, D., Dai, M., Salido, M. A., & Giret, A. (2016). Energy-efficient dynamic scheduling for a flexible flow shop using an improved particle swarm optimization. Computers in Industry, 81, 82-95.
Thevenin, S., Zufferey, N., & Widmer, M. (2016). Order acceptance and scheduling with earliness and tardiness penalties. Journal of Heuristics, 22(6), 849-890.
Vroblefski, M., Ramesh, R., & Zionts, S. (2000). Efficient lot-sizing under a differential transportation cost structure for serially distributed warehouses. European Journal of Operational Research, 127(3), 574-593.
Wan, L., & Zhang, A. (2014). Coordinated scheduling on parallel machines with batch delivery. International Journal of Production Economics, 150, 199-203.
Wang, X., Xie, X., & Cheng, T. (2013). Order acceptance and scheduling in a two-machine flowshop. International Journal of Production Economics, 141(1), 366-376.
Xie, X., & Wang, X. (2016). An enhanced ABC algorithm for single machine order acceptance and scheduling with class setups. Applied Soft Computing, 44, 255-266.
Yin, Y., Cheng, T., Wu, C.-C., & Cheng, S.-R. (2014). Single-machine batch delivery scheduling and common due-date assignment with a rate-modifying activity. International Journal of Production Research, 52(19), 5583-5596.
Yin, Y., Wang, Y., Cheng, T., Wang, D.-J., & Wu, C.-C. (2016). Two-agent single-machine scheduling to minimize the batch delivery cost. Computers & Industrial Engineering, 92, 16-30.
Zhang, B., Pan, Q.-k., Gao, L., Zhang, X.-l., Sang, H.-y., & Li, J.-q. (2017). An effective modified migrating birds optimization for hybrid flowshop scheduling problem with lot streaming. Applied Soft Computing, 52, 14-27.