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Synergy Degree Evaluation Based on Synergetics for Sustainable Logistics Enterprises

Author

Listed:
  • Juan Huang

    (School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China)

  • Yuhong Shuai

    (School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China)

  • Qi Liu

    (Business School, Sichuan University, Chengdu 610065, China)

  • Hang Zhou

    (School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China)

  • Zhenggang He

    (School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China)

Abstract

Today, logistics activities have become a major source of pollution that affects the environment and green logistics is becoming a hot topic. A logistics company’s operating strategy determines the direction of logistics activities and impact degree of logistics activities on the environment. And in logistics enterprises, there is a direct relationship between efficiency and collaboration as collaboration can reduce logistics costs and the negative impact of the bullwhip effect and increase the service level. Synergy degree evaluation, therefore, is crucial to analyze collaboration, identify vulnerabilities, promote development and is also a key step in building a green logistics system. This paper employs Synergetics to comprehensively evaluate the synergy degree in sustainable logistics enterprises. First, Synergetics is introduced to evaluate the synergy degree of sustainable logistics enterprises and the basic Synergetics principles are presented. Second, based on the Law of the Factors of Production, the synergy elements and logistics enterprise content is divided into three main factors: subject elements, object elements and facility and equipment elements. Then, a measurement model and framework for the synergy degree of logistics enterprises is built. Finally, a case study is given to verify the effectiveness of the proposed model and framework. It was found that the higher the logistics enterprise synergy degree, the higher the efficiency.

Suggested Citation

  • Juan Huang & Yuhong Shuai & Qi Liu & Hang Zhou & Zhenggang He, 2018. "Synergy Degree Evaluation Based on Synergetics for Sustainable Logistics Enterprises," Sustainability, MDPI, vol. 10(7), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:7:p:2187-:d:154664
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    References listed on IDEAS

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    1. Min-Ren Yan & Kuo-Ming Chien & Tai-Ning Yang, 2016. "Green Component Procurement Collaboration for Improving Supply Chain Management in the High Technology Industries: A Case Study from the Systems Perspective," Sustainability, MDPI, vol. 8(2), pages 1-16, January.
    2. Guo, Z.X. & Ngai, E.W.T. & Yang, Can & Liang, Xuedong, 2015. "An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment," International Journal of Production Economics, Elsevier, vol. 159(C), pages 16-28.
    3. Bruce Kogut, 1988. "Joint ventures: Theoretical and empirical perspectives," Strategic Management Journal, Wiley Blackwell, vol. 9(4), pages 319-332, July.
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    Cited by:

    1. Bing Qing Tan & Fangfang Wang & Jia Liu & Kai Kang & Federica Costa, 2020. "A Blockchain-Based Framework for Green Logistics in Supply Chains," Sustainability, MDPI, vol. 12(11), pages 1-13, June.
    2. Rui Ren & Wanjie Hu & Jianjun Dong & Bo Sun & Yicun Chen & Zhilong Chen, 2019. "A Systematic Literature Review of Green and Sustainable Logistics: Bibliometric Analysis, Research Trend and Knowledge Taxonomy," IJERPH, MDPI, vol. 17(1), pages 1-25, December.
    3. Kailei Li & Han Bai & Xiang Yan & Liang Zhao & Xiuguang Wang, 2023. "Cooperative Efficiency Evaluation System for Intelligent Transportation Facilities Based on the Variable Weight Matter Element Extension," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    4. Liu, Dandan & Wang, Delu, 2022. "Evaluation of the synergy degree of industrial de-capacity policies based on text mining: A case study of China's coal industry," Resources Policy, Elsevier, vol. 76(C).
    5. Ahmed Shaban & Mohamed A. Shalaby & Giulio Di Gravio & Riccardo Patriarca, 2020. "Analysis of Variance Amplification and Service Level in a Supply Chain with Correlated Demand," Sustainability, MDPI, vol. 12(16), pages 1-27, August.
    6. Patrik Richnák & Klaudia Gubová, 2021. "Green and Reverse Logistics in Conditions of Sustainable Development in Enterprises in Slovakia," Sustainability, MDPI, vol. 13(2), pages 1-23, January.
    7. Xiaoping Fang & Zhang Ji & Zhiya Chen & Weiya Chen & Chao Cao & Jinrong Gan, 2020. "Synergy Degree Evaluation of Container Multimodal Transport System," Sustainability, MDPI, vol. 12(4), pages 1-26, February.

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