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The Road to Sustainable Logistics: Using the Fuzzy Nonlinear Multi-Objective Optimization Model to Build Photovoltaic Stations in Taiwan’s Logistics Centers

Author

Listed:
  • Huai-Tien Wang

    (Department of Marketing and Logistics, China University of Technology, Taipei City 116, Taiwan)

  • Kang-Lin Chiang

    (Department of Marketing and Logistics, China University of Technology, Taipei City 116, Taiwan)

  • Nang-Fei Pan

    (Department of Civil Engineering, National Cheng Kung University, Tainan City 701, Taiwan)

  • Yu-Feng Lin

    (Department of International Trade, Chihlee University of Technology, New Taipei City 220, Taiwan)

Abstract

In Taiwan, numerous company logistics centers have embraced installing solar photovoltaic power stations (SPPSs) on their rooftops. The primary objective of this study is to expedite the generation of green electricity for sale, bolstering the logistics center’s income and enhancing its environmental, social, and governance (ESG) profile. How can we secure solar photovoltaic power station (SPPS) projects with expedited construction timelines, reduced investment costs, and heightened quality aligned with the long-term ESG objectives? The study applies the critical path method (CPM) to determine the item’s path. Next, the mothed leverages Zimmermann’s mathematical models for nonlinear multi-objectives and Yager’s fuzzy sets to enhance project efficiency, minimizing completion time and cost while maximizing the quality ratio. Subsequently, the project uses Liou and Wang’s defuzzification values and incorporates Dong’s fuzzy to accelerate calculations. In this case, Project HP’s item J, the construction time is reduced from 24.3 to 3.2 days, ensuring that construction quality meets an 85% standard. Item J necessitates expanding the fuzzy cost interval (4549.90, 15,416.65, 26,283.41) (it refers to a scope of possible costs). It becomes evident that construction time plays a pivotal role in controlling costs. For Project HP’s item H, the unit time quality decision ranges from TWD 238,000 to 240,000, to turn into a cost interval of TWD 215,100, 239,000, and 262,900. Consequently, cost transformation transitions from an active to a more passive role, with quality and construction time becoming the driving components. This study uses a fuzzy nonlinear multi-objective model to guide the decision analysis of SPPSs within logistics centers. This strategy enables decision-makers to streamline logistics center operations, ensuring time, cost, and quality (TCQ) alignment during SPPS installation, thereby advancing ESG sustainability goals.

Suggested Citation

  • Huai-Tien Wang & Kang-Lin Chiang & Nang-Fei Pan & Yu-Feng Lin, 2023. "The Road to Sustainable Logistics: Using the Fuzzy Nonlinear Multi-Objective Optimization Model to Build Photovoltaic Stations in Taiwan’s Logistics Centers," Sustainability, MDPI, vol. 15(23), pages 1-17, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16449-:d:1291532
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    References listed on IDEAS

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    1. Fateme Dianat & Vahid Khodakarami & Hamed Shakouri Ganjavi & Seyed-Hossein Hosseini & Reza Maihami, 2022. "Sustainability Assessment of Electricity Generation Development under the Implementation of Support Policies with Endogenous Financial Resources Using a Hybrid Decision Support Model," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-16, May.
    2. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    3. Liao, Qijun & Li, Shaoyuan & Xi, Fengshuo & Tong, Zhongqiu & Chen, Xiuhua & Wan, Xiaohan & Ma, Wenhui & Deng, Rong, 2023. "High-performance silicon carbon anodes based on value-added recycling strategy of end-of-life photovoltaic modules," Energy, Elsevier, vol. 281(C).
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