Optimization of Enterprise Labor Resource Allocation Based on Quality Optimization Model

被引:2
作者
Liang, Gaoyang [1 ]
Xu, Long [2 ]
Chen, Liang [2 ]
机构
[1] Capital Univ Econ & Business, Sch Lab Econ, Beijing 100070, Peoples R China
[2] Hebei Univ Econ & Business, Sch Business Adm, Shijiazhuang 050061, Hebei, Peoples R China
关键词
DECISION-MAKING; LOGISTICS;
D O I
10.1155/2021/5551762
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Companies take project-based management as their organizational strategy, and project quality assurance plays a vital role in improving customer satisfaction and enhancing corporate image. Starting from the perspective of optimizing project quality, this paper assigns different quality influencing factors to each project and each task of the project, divides the labor resources shared by multiple projects in the enterprise according to the skill level, and transforms the problem of project quality optimization. The problem of the highest skill level of labor resources allocated to all projects of the enterprise is designed, and algorithms are designed to achieve the optimization of project quality through the optimal allocation of labor resources. The various links in this article are closely related to form a comprehensive, scientific, and systematic research system for optimal human resource allocation, human resource management, and development. Finally, case analysis is used to confirm the usability of the model and provide a quantitative method and perspective for project-oriented companies to allocate workforce.
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收藏
页数:10
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共 22 条
  • [1] A novel model for optimisation of logistics and manufacturing operation service composition in Cloud manufacturing system focusing on cloud-entropy
    Aghamohammathadeh, Ehsan
    Malek, Mahsa
    Valilai, Omid Fatahi
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2020, 58 (07) : 1987 - 2015
  • [2] [Anonymous], 2018, PEER PEER NETW APPL, DOI DOI 10.1007/s12083-017-0556-6
  • [3] Allocating human resources in organizations operating under crisis conditions: A fuzzy input-output optimization modeling framework
    Aviso, K. B.
    Mayol, A. P.
    Promentilla, M. A. B.
    Santos, J. R.
    Tan, R. R.
    Ubando, A. T.
    Yu, K. D. S.
    [J]. RESOURCES CONSERVATION AND RECYCLING, 2018, 128 : 250 - 258
  • [4] Enterprise applications cloud rightsizing through a joint benchmarking and optimization approach
    Evangelinou, Athanasia
    Ciavotta, Michele
    Ardagna, Danilo
    Kopaneli, Aliki
    Kousiouris, George
    Varvarigou, Theodora
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 78 : 102 - 114
  • [5] Evaluating and Optimizing Technological Innovation Efficiency of Industrial Enterprises Based on Both Data and Judgments
    Gu, Wei
    Saaty, Thomas L.
    Wei, Lirong
    [J]. INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2018, 17 (01) : 9 - 43
  • [6] Optimization technology in cloud manufacturing
    Guo, Liang
    Qiu, Jingxiong
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 97 (1-4) : 1181 - 1193
  • [7] AN AIMMS-BASED DECISION-MAKING MODEL FOR OPTIMIZING THE INTELLIGENT STOWAGE OF EXPORT CONTAINERS IN A SINGLE BAY
    Jin, Jian
    Mi, Weijian
    [J]. DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S, 2019, 12 (4-5): : 1101 - 1115
  • [8] ManuChain: Combining Permissioned Blockchain With a Holistic Optimization Model as Bi-Level Intelligence for Smart Manufacturing
    Leng, Jiewu
    Yan, Douxi
    Liu, Qiang
    Xu, Kailin
    Zhao, J. Leon
    Shi, Rui
    Wei, Lijun
    Zhang, Ding
    Chen, Xin
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 50 (01): : 182 - 192
  • [9] Optimization for China's coal flow based on matching supply and demand sides
    Liu, Feng
    Lv, Tao
    Sajid, Muhammad
    Li, Xiaoxiao
    [J]. RESOURCES CONSERVATION AND RECYCLING, 2018, 129 : 345 - 354
  • [10] A new agent-based method for QoS-aware cloud service composition using particle swarm optimization algorithm
    Naseri, Afshin
    Navimipour, Nima Jafari
    [J]. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2019, 10 (05) : 1851 - 1864