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| 1 | COORDINATING PRODUCTION AND RECYCLING DECISIONS WITH STOCHASTIC DEMAND AND RETUR显示文摘In this paper, the joint production and recycling problem is investigated for a hybrid manufacturing and remanufacturing system where brand-new products are produced in the manufacturing plant and recycled products are remanufactured into as-new products in the remanufacturing facility. Both the brand-new products and remanufactured products are used to satisfy customer demands. Returns of used products that are recycled from customers are assumed to be stochastic and nonlinearly price-dependent. A mathematical model is proposed to maximize the overall profit of the system through simultaneously optimizing the production and recycling decisions, subject to two capacity constraints ? the manufacturing capacity and the remanufacturing capacity. Based on Lagrangian relaxation method, subgradient algorithm and heuristic algorithm, a solution approach is developed to solve the problem. A representative example is presented to illustrate the system, and managerial analysis indicates that the uncertainties in demand and return have much influence on the production and recycling policy. In addition, twenty randomly produced examples are solved, and computational results show that the solution approach can obtain very good solutions for all examples in reasonable time. | Jianmai SHI Guoqing ZHANG Jichang SHA Saman Hassanzadeh AMIN | 2010 | Journal of Systems Science and Systems Engineering2010，19，4： | 10 |
| 2 | Weapon configuration, allocation and route planning with time windows for multiple unmanned combat air vehicles显示文摘Unmanned combat air vehicles(UCAVs) mission planning is a fairly complicated global optimum problem. Military attack missions often employ a fleet of UCAVs equipped with weapons to attack a set of known targets. A UCAV can carry different weapons to accomplish different combat missions. Choice of different weapons will have different effects on the final combat effectiveness. This work presents a mixed integer programming model for simultaneous weapon configuration and route planning of UCAVs, which solves the problem optimally using the IBM ILOG CPLEX optimizer for simple missions. This paper develops a heuristic algorithm to handle the medium-scale and large-scale problems. The experiments demonstrate the performance of the heuristic algorithm in solving the medium scale and large scale problems. Moreover, we give suggestions on how to select the most appropriate algorithm to solve different scale problems. | ZHANG Jiaming LIU Zhong SHI Jianmai CHEN Chao | 2018 | Journal of Systems Engineering and Electronics2018，29，5： | 4 |
| 3 | Modeling and solution based on stochastic games for development of COA under uncertainty显示文摘Developing a course of action(COA) is a key step in military planning. In most extant studies on the COA development,only the unilateral actions of friendly forces are considered. Based on stochastic games, we propose models that could deal with the complexities and uncertainties of wars. By analyzing the equilibrium state of both opponent sides, outcomes preferable to one side could be achieved by adopting the methods obtained from the proposed models. This research could help decision makers take the right COA in a state of uncertainty. | CHEN Chao DU Zhengjun LIANG Xingxing SHI Jianmai ZHANG Hao | 2019 | Journal of Systems Engineering and Electronics2019，30，2： | 2 |
| 4 | Optimal production and pricing policy for a closed loop system显示文摘 | Shi Jianmai Zhang Guoqing Sha Jichang | | 0，，06： | 1 |
| 5 | optimal production and pricing policy for a closed loop system显示文摘 | Shi Jianmai Zhang Gouqing Sha Jichuang | 2011 | Resources Conservation and Recycling2011，55，6： | 1 |
| 6 | Optimal production planning for a multi-product closed loop system with uncertain demand and return显示文摘 | Shi Jianmai Zhang Guoqing Sha Jichang | 2011 | Computers Operations Research2011，38，3： | 1 |
| 7 | Optimal production planning for a multi-product closed loop sys-tem with uncertain demand and return 显示文摘 | Shi Jianmai Zhang Guoqing Sha Jichang | 2011 | Comput Op- erat Res2011，38，3： | 1 |
| 8 | Optimal production planning for a multi-product closed loop system with uncertain demand and return显示文摘 | Jianmai Shi Guoqing Zhang Jichang Sha | 2010 | Computers and Operations Research2010，，： | 1 |
| 9 | Optimal production planning for a multi-product closed loop system with uncertain demand and return 显示文摘 | SHI Jianmai ZHANG Guoqing SHA Jichang | 2011 | Computers and Operations Research2011，38，： | 1 |
| 10 | Optimal production planning for a multi-product closed loop system with uncertain demand and return 显示文摘 | Jianmai Shi Guoqing Zhang Jichang Sha | 2011 | Computers & Operations Research2011，，38： | 1 |
| 11 | Optimal production and pricing policy for a closed loop system 显示文摘 | SHI Jianmai ZHANG Guoqing SHA Jichang | 2011 | Resources Conservation and Recycling2011，38，： | 1 |
| 12 | Optimal production planning for a multi-product closed loop system with uncertain demand and return显示文摘 | Shi Jianmai Zhang Guoqing Sha Jichang | 2011 | Computers & Operations Research2011，38，3： | 1 |
| 13 | Optimal Production Planning for a Multi-product Closed loop System With Uncertain Demand and Return 显示文摘 | Jianmai Shi GuoqingZhang JichangSha | 2011 | Computers and Operations Research2011，38，： | 1 |
| 14 | Optimal production planning for a multi-product closed loop system with uncertain demand and return显示文摘 | SHI JIANMAI ZHANG GUOQING SHA JICHANG | 2011 | Computers & Operations Research2011，38，： | 1 |
| 15 | Joint mission and route planning of unmanned air vehicles via a learning-based heuristic显示文摘Unmanned air vehicles(UAVs) have been regularly employed in modern wars to conduct different missions. Instead of addressing mission planning and route planning separately,this study investigates the issue of joint mission and route planning for a fleet of UAVs. The mission planning determines the configuration of weapons in UAVs and the weapons to attack targets, while the route planning determines the UAV’s visiting sequence for the targets. The problem is formulated as an integer linear programming model. Due to the inefficiency of CPLEX on large scale optimization problems, an effective learningbased heuristic, namely, population based adaptive large neighborhood search(P-ALNS), is proposed to solve the model. In P-ALNS, seven neighborhood structures are designed and adaptively utilized in terms of their historical performance. The effectiveness and superiority of the proposed model and algorithm are demonstrated on test instances of small, medium and large sizes. In particular, P-ALNS achieves comparable solutions or as good as those of CPLEX on small-size(20 targets)instances in much shorter time. | SHI Jianmai ZHANG Jiaming LEI Hongtao LIU Zhong WANG Rui | 2023 | Journal of Systems Engineering and Electronics2023，34，1： | 0 |
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