全球变局下的管理科学与工程研究

doi:10.16381/j.cnki.issn1003-207x.2022.05.004

Abstract

Abstract: Changes in the world economy and science and technology are major driving forces for the global changes. Competition and cooperation among countries will become common for county relations. Human development will also face unprecedented challenges. Under such a situation, typical problems such as risk management of the global supply chain, friction in international trade, changes in international cooperation, overseas major project management, and public health emergencies have put forward new requirements for management science and engineering research. Based on the related literature and project review, the research basis and advantages in the field are analyzed. Finally, the major research directions based on surveys from experts are summarized.

Key words: management science and engineering; competition and cooperation among countries; human development

CLC Number:

WU Jian-jun, LV Ying. Research on Management Science and Engineering under Global Changes[J]. Chinese Journal of Management Science, 2022, 30(5): 21-26.

References

［1］ Cohen M A, Lee H L. Resource deployment analysis of global manufacturing and distribution networks［J］. Journal of manufacturing and operations management, 1989, 2(2): 81-104.
［2］ Hsu V N, Zhu K. Tax-effective supply chain decisions under China’s export-oriented tax policies［J］. Manufacturing & Service Operations Management, 2011, 13(2): 163-179.
［3］ Xiao W, Hsu V N, Hu Q. Manufacturing capacity decisions with demand uncertainty and tax cross-crediting［J］. Manufacturing & Service Operations Management, 2015, 17(3): 384-398.
［4］ Atasu A, Corbett C J, Huang X, et al. Sustainable operations management through the perspective of manufacturing & service operations management［J］. Manufacturing & service operations management, 2020, 22(1): 146-157.
［5］ Tomlin B. On the value of mitigation and contingency strategies for managing supply chain disruption risks［J］. Management science, 2006, 52(5): 639-657.
［6］ Niu Baozhuang, Li Jiawei, Zhang Jie, et al. Strategic analysis of dual sourcing and dual channel with an unreliable alternative supplier［J］. Production and Operations Management, 2019, 28(3): 570-587.
［7］ Dorobantu S, Lindner T, Müllner J. Political risk and alliance diversity: A two-stage model of partner selection in multipartner alliances［J］. Academy of Management Journal, 2020, 63(6): 1775-1806.
［8］张水波, 郑晓丹. 经济发展和PPP制度对发展中国家基础设施PPP项目的影响［J］. 软科学, 2015, 7: 25-29.Zhang Shuibo, Zheng Xiaodan. The effect of economic development and PPP institution on PPP infrastructure projects in developing countries［J］. Soft Science, 2015, 7: 25-29.
［9］ Cabral S, Mahoney J T, McGahan A M, et al. Value creation and value appropriation in public and nonprofit organizations［J］. Strategic Management Journal, 2019, 40(4): 465-475.
［10］ Wu J T, Leung K, Leung G M. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: A modelling study［J］. The Lancet, 2020, 395(10225): 689-697.
［11］ Kraemer M U G, Yang C H, Gutierrez B, et al. The effect of human mobility and control measures on the COVID-19 epidemic in China［J］. Science, 2020, 368(6490): 493-497.
［12］ Tian H, Liu Y, Li Y, et al. An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China［J］. Science, 2020, 368(6491): 638-642.
［13］ Finkelstein S N, Smart C N, Gralla A M, et al. A two-stage model for the control of epidemic influenza［J］. Management Science, 1981, 27(7): 834-846.
［14］ Long E F, Nohdurft E, Spinler S. Spatial resource allocation for emerging epidemics: A comparison of greedy, myopic, and dynamic policies［J］. Manufacturing & Service Operations Management, 2018, 20(2): 181-198.
［15］ Chen Y D, Brown S A, Hu P J H, et al. Managing emerging infectious diseases with information systems: Reconceptualizing outbreak management through the lens of loose coupling［J］. Information Systems Research, 2011, 22(3): 447-468.
［16］ Macrina G, Laporte G, Guerriero F, et al. An energy-efficient green-vehicle routing problem with mixed vehicle fleet, partial battery recharging and time windows［J］. European Journal of Operational Research, 2019, 276(3): 971-982.
［17］肖建华, 王超文, 陈萍, 等. 基于城市道路限行的多能源多车型车辆路径优化［J］. 系统工程理论与实践, 2017, 37(5): 1339-1348.Xiao Jianhua, Wang Chaowen, Chen Ping, et al. The multi-energy heterogeneous fleet vehicle routing optimization under urban traffc restriction［J］. Systems Engineering-Theory & Practice, 2017, 37(5): 1339-1348.
［18］ Arya A, Mittendorf B. Supply chain consequences of subsidies for corporate social responsibility［J］. Production and Operations Management, 2015, 24(8): 1346-1357.
［19］ Ha A, Long X, Nasiry J. Quality in supply chain encroachment［J］. Manufacturing & Service Operations Management, 2016, 18(2): 280-298.
［20］ Dong J X, Lee C Y, Song D P. Joint service capacity planning and dynamic container routing in shipping network with uncertain demands［J］. Transportation Research Part B: Methodological, 2015, 78: 404-421.
［21］ Eli , Noyan N. A chance-constrained two-stage stochastic programming model for humanitarian relief network design［J］. Transportation research part B: methodological, 2018, 108: 55-83.
［22］ Ang E, Iancu D A, Swinney R. Disruption risk and optimal sourcing in multitier supply networks［J］. Management Science, 2017, 63(8): 2397-2419.
［23］ Bimpikis K, Fearing D, Tahbaz-Salehi A. Multisourcing and miscoordination in supply chain networks［J］. Operations Research, 2018, 66(4): 1023-1039.
［24］ Cohen M A, Lee H L. Designing the right global supply chain network［J］. Manufacturing & Service Operations Management, 2020, 22(1): 15-24.
［25］ Cohen M A, Cui S, Ernst R, et al. OM forum—Benchmarking global production sourcing decisions: Where and why firms offshore and reshore［J］. Manufacturing & Service Operations Management, 2018, 20(3): 389-402.
［26］毛琛, 王岚, 李立明. 我国流行病学学科发展70年的历程与成就［J］. 中华流行病学杂志, 2019, 40(10): 1173-1179.Mao Chen, Wang Lan, Li Liming. Historical perspective of progress and achievement on epidemiology in the past 70 years in China［J］. Chinese Journal of Epidemiology, 2019, 40(10): 1173-1179.

[1]	WANG Ping, ZHANG Li-jun, SUN Lu-ping. Reference-Dependent Consumer Choices and the Modeling Methods: A Review and Future Directions [J]. Chinese Journal of Management Science, 2022, 30(4): 119-131.
[2]	FENG Jing-chun, DONG Ling-li. Construction Period-Cost Optimization of Program Based on Critical Chain Method under Multi-Resource Constraints [J]. Chinese Journal of Management Science, 2022, 30(4): 132-143.
[3]	LIU Shan, YAO Feng-min, CHEN Dong-yan, , TENG Chun-xian. Pricing and Coordination Strategies of Closed-loop Supply Chain Considering CSR Behavior under Recycling Competition [J]. Chinese Journal of Management Science, 2022, 30(4): 205-217.
[4]	XU Bao-guang, CHANG Jia-xin, GAO Min-gang. Research on Routing Problems about Road Information Collection Considering Mixed Mapping Method [J]. Chinese Journal of Management Science, 2022, 30(4): 218-227.
[5]	LIU Ming, XU Xi-fen, NING Jing, CAO Jie. Modeling and Optimizing Method for Rebalancing the Dock-less Bicycles based on Order Data Analysis [J]. Chinese Journal of Management Science, 2022, 30(4): 275-286.
[6]	MA Zhi-qiang, XU Xiao-feng, HE Zheng-wen, WANG Neng-min. Robust Scheduling Optimization of Project Resources with Activity Splitting under Complex and Uncertain Environments [J]. Chinese Journal of Management Science, 2022, 30(3): 117-130.
[7]	ZHOU Xiao-yang, CHEN Ke-xin, WEN Hao-yu, WANG Shou-yang. Decisions and Contract Selection of Closed-loop Supply Chain Considering Different Competitive Behaviors of Retailers under Government Subsidy [J]. Chinese Journal of Management Science, 2022, 30(3): 176-188.
[8]	TANG Yue-wu, FAN Ti-jun, CHENG Yong-wei. Pricing and Ordering Decisions for Fresh Produce Based on Different Fresh-keeping Methods [J]. Chinese Journal of Management Science, 2022, 30(3): 189-198.
[9]	LIU Chuan-bin, DAI Wei, YU Le-an, YANG Jian-an. Study on Evaluation and Prediction of Scientific Research Platforms of Universities using a GCA-DEA-MSVC Methodology [J]. Chinese Journal of Management Science, 2022, 30(3): 240-247.
[10]	ZHANG Xu-mei, ZHENG Yan-wen, LI Meng-li, TIAN Yu. Cooperation Strategy for Supply Chain Considering Add-on Service and Platform’s Marketing Effort in O2O Model [J]. Chinese Journal of Management Science, 2022, 30(2): 181-190.
[11]	WAN Xiao-le, WANG Huan-huan, DU Yuan-wei, MENG Qing-chun. Study on a Cross-shareholding Supply Chain Decision Considering Over-confidence [J]. Chinese Journal of Management Science, 2022, 30(2): 191-203.
[12]	YANG Min, FEI Xi-yue, WEI Yu-qi, LIANG Liang. Two-stage DEA Evaluation Method Based on Resource Sharing and Subsystem Interaction——Evaluation of Scientific Research Performance for “First-Class” Universities in China [J]. Chinese Journal of Management Science, 2022, 30(2): 256-263.
[13]	QU Xin-chi, HOU Gui-sheng, SUN Xiang-yan. Pricing and Innovation Strategies of Dynamic Innovative Competition-Cooperation System under the Framework of Consumers’ Heterogeneous Preference [J]. Chinese Journal of Management Science, 2022, 30(1): 88-99.
[14]	REN Ai-jun, FENG Geng-zhong, TIAN Jun. Infrastructure Network Restoration Decision Considering Restoration Interdependency after Emergency [J]. Chinese Journal of Management Science, 2022, 30(1): 154-164.
[15]	WANG Tian, ZHENG Zhong. The Impact of Risk Aversion of An Unreliable Supplier on Supply Chain Performance [J]. Chinese Journal of Management Science, 2022, 30(1): 165-174.

Research on Management Science and Engineering under Global Changes

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 0