Kinetic Mechanical Engineering, 2023, 4(1); doi: 10.38007/KME.2023.040101.
Beihua University, Jilin, China
In the current project construction in China, it is an important work to coordinate and cooperate among various project departments. In consideration of the resource balance, full attention should be paid to the connection, cooperation and information sharing among various departments. Taking the field of mechanical engineering planning and design as an example, this paper establishes a scheme and strategy system for scientific and reasonable resource allocation from the perspective of external environment to achieve the overall goal. After optimization, human resource allocation and personnel structure arrangement can be used to improve the efficiency of staff in the shortest time. Then, based on the multi-objective optimization algorithm, the resource balance model of mechanical engineering project is designed and the model is tested. The test results show that the model has small variance and low range, which shows that the model has excellent optimization effect.
Multi-objective Optimization, Mechanical Engineering, Resource Balance, Balance Optimization
Guang Liu. Resource Balance Optimization Method of Mechanical Engineering Project Considering Multi-objective Optimization. Kinetic Mechanical Engineering (2023), Vol. 4, Issue 1: 1-10. https://doi.org/10.38007/KME.2023.040101.
 Omer Ozkan:Multi-objective optimization of transporting blood products by routing UAVs: the case of Istanbul. Int. Trans. Oper. Res. 30(1): 302-327 (2023).
 Hamadi Ammar, Bechir Naffeti:A branch and bound algorithm for Holder bi-objective optimization. Implementation to multidimensional optimization. Math. Comput. Simul. 204: 181-201 (2023).
 Mustafa Maad Hamdi, Lukman Audah, Sami AbdulJabbar Rashid:Data Dissemination in VANETs Using Clustering and Probabilistic Forwarding Based on Adaptive Jumping Multi-Objective Firefly Optimization. IEEE Access 10: 14624-14642 (2021).
 Manish Kumar Singh, Amit Choudhary, Sandeep Gulia, Anurag Verma:Multi-objective NSGA-II optimization framework for UAV path planning in an UAV-assisted WSN. J. Supercomput. 79(1): 832-866 (2023).
 Tapan Kumar Mohanta, Dushmanta Kumar Das:Multiple objective optimization-based DV-Hop localization for spiral deployed wireless sensor networks using Non-inertial Opposition-based Class Topper Optimization (NOCTO). Comput. Commun. 195: 173-186 (2022).
 U. Geetha, Sharmila Sankar:Multi-Objective Modified Particle Swarm Optimization for Test Suite Reduction (MOMPSO). Comput. Syst. Sci. Eng. 42(3): 899-917 (2022).
 Clement Nartey, Eric Tutu Tchao, James Dzisi Gadze, Bright Yeboah-Akowuah, Henry Nunoo-Mensah, Dominik Welte, Axel Sikora:Blockchain-IoT peer device storage optimization using an advanced time-variant multi-objective particle swarm optimization algorithm. EURASIP J. Wirel. Commun. Netw. 2022(1): 1-27 (2022).
 Fatma Tevhide Altekin, Yossi Bukchin:A multi-objective optimization approach for exploring the cost and makespan trade-off in additive manufacturing. Eur. J. Oper. Res. 301(1): 235-253 (2022).
 Slawomir Koziel, Anna Pietrenko-Dabrowska:Constrained multi-objective optimization of compact microwave circuits by design triangulation and pareto front interpolation. Eur. J. Oper. Res. 299(1): 302-312 (2022).
 Youwei He, Jinju Sun, Peng Song, Xuesong Wang:Variable-fidelity hypervolume-based expected improvement criteria for multi-objective efficient global optimization of expensive functions. Eng. Comput. 38(4): 3663-3689 (2022).
 Anum Tariq, Shoab Ahmed Khan:Industry 4.0 Based Business Process Re-Engineering Framework for Manufacturing Industry Setup Incorporating Evolutionary Multi-Objective Optimization. IEICE Trans. Inf. Syst. 105-D(7): 1283-1295 (2022).
 Said Ali Hassan, Prachi Agrawal, Talari Ganesh, Ali Wagdy Mohamed:A Novel Multi-Objective Nonlinear Discrete Binary Gaining-Sharing Knowledge-Based Optimization Algorithm: Optimum Scheduling of Flights for Residual Stranded Citizens Due to COVID-19. Int. J. Appl. Metaheuristic Comput. 13(1): 1-25 (2022).
 Murat Emre Erkoc, Nurhan Karaboga:A comparative study of multi-objective optimization algorithms for sparse signal reconstruction. Artif. Intell. Rev. 55(4): 3153-3181 (2021).
 Pankaj Gupta, Mukesh Kumar Mehlawat, Divya Mahajan:Data envelopment analysis based multi-objective optimization model for evaluation and selection of software components under optimal redundancy. Ann. Oper. Res. 312(1): 193-216 (2021).
 Natalia Jorquera-Bravo, Andrea Teresa Espinoza Pérez, Óscar C. Vásquez:Toward a sustainable system of wastewater treatment plants in Chile: a multi-objective optimization approach. Ann. Oper. Res. 311(2): 731-747 (2021).
 Pankaj Kumar, Ajay Kumar Bhurjee:Multi-objective enhanced interval optimization problem. Ann. Oper. Res. 311(2): 1035-1050 (2021).
 Venkata Krishnaveni Chennuru, Sobha Rani Timmappareddy:Simulated annealing based undersampling (SAUS): a hybrid multi-objective optimization method to tackle class imbalance. Appl. Intell. 52(2): 2092-2110 (2021).
 Mohammad Bidoki, M. Fakhrahmad, Mohammad R. Moosavi:Text Summarization as a Multi-objective Optimization Task: Applying Harmony Search to Extractive Multi-Document Summarization. Comput. J. 65(5): 1053-1072 (2021).