JOURNAL OF BUSINESS LEADERSHIP AND MANAGEMENT

ISSN NO : 2995-620X

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OPTIMIZING THE EFFICIENCY AND COST OF ENTERPRISE LOGISTICS WAREHOUSE: FROM THE PERSPECTIVE OF GREEN SUPPLY CHAIN MANAGEMENT

1 School Of Management, Universiti Sains,Malaysia

Volume 1

Issue 1

Page: [26 - 46]

Published Online: October 9, 2023

  • Abstract

    The Aforementioned Findings Possess Considerable Ramifications For Both Research And Application Within The Domain Of Logistics Management. Nonetheless, This Investigation Is Not Without Its Constraints. Initially, The Implementation Of A Questionnaire Survey Could Potentially Yield Subjectivity And Recall Bias. Furthermore, The Utilization Of Non-Probability Sampling Technique Could Impede The Degree Of Representativeness Within The Sample Population. Furthermore, This Research Centered Exclusively On Logistics Warehouses Situated In China, Thereby Constraining The Potential Applicability Of Its Conclusions To Dissimilar Geographical Domains And Sectors. Subsequent Research Endeavors Ought To Assess The Aforementioned Constraints And Delve Deeper Into Additional Variables That Impact The Effectiveness And Monetary Aspects Of Logistics Warehouses. Moreover, A Deeper Analysis Is Imperative Pertaining To The Efficacious Execution Of Green Supply Chain Management And Sustainable Development Tactics In Real-World Scenarios, With The Objective Of Enhancing The Operational Output And Ecological Stability Of Logistics Depots. In Summation, This Research Offers Noteworthy Insights That Are Beneficial For The Logistics Management Discipline, And It Delineates Avenues For Forthcoming Investigations And Potential Research Advancements. By Means Of Ongoing Research And Practical Implementation, The Promotion Of Sustainable Development Pertaining To Logistics Warehouses Can Be Facilitated, Ultimately Bolstering The Creation Of Ecologically-Responsible Supply Chains.

    Keywords: Efficiency Of Logistics Warehouse Cost Of Logistics Warehouse Green Supply Chain Management

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  • References

      • [1] Gahlot, N. K., Bagri, G. P., Gulati, B., Bhatia, L., & Das, S. (2023). Analysis of barriers to implement green supply chain management practices in Indian automotive industries with the help of ISM model. Materials Today: Proceedings.
      • [2] Zhang, L., Dou, Y., & Wang, H. (2023). Green supply chain management, risk- taking, and corporate value—Dual regulation effect based on technological innovation capability and supply chain concentration. Frontiers in Environmental Science, 11. https://doi.org/10.3389/fenvs.2023.1 096349
      • [3] Liu, Y., Ji, S., Su, Z., & Guo, D. (2019). Multi-objective AGV scheduling in an automatic sorting system of an unmanned (intelligent) warehouse by using two adaptive genetic algorithms and a multi-adaptive genetic algorithm. PloS one, 14(12),e0226161.
      • [4] Chakraborty, A., Al Amin, Md., & Baldacci, R. (2023). Analysis of Internal Factors of Green Supply Chain Management: An Interpretive Structural Modeling Approach. Cleaner Logistics and Supply Chain, 100099. https://doi.org/10.1016/j.clscn.2023. 100099
      • [5] Bolaños-Zúñiga, L., & Vidal-Holguin, C. J. (2020). The impact of inventory holding costs on the strategic design of supply chains. Revista Facultad de Ingeniería Universidad de Antioquia. https://doi.org/10.17533/udea.redin. 20200692
      • [6] Haiyun, C., Zhixiong, H., Yüksel, S., & Dinçer, H. (2021). Analysis of the innovation strategies for green supply chain management in the energy industry using the QFD-based hybrid interval valued intuitionistic fuzzy decision approach. Renewable and Sustainable Energy Reviews, 143, 110844. https://doi.org/10.1016/j.rser.2021.1 10844
      • [7] Chee Wooi, G., & Zailani, S. (2010). Green Supply Chain Initiatives: Investigation on the Barriers in the Context of SMEs in Malaysia. International Business Management, 4(1), 20–27. https://doi.org/10.3923/ibm.2010.20. 27
      • [8] Hubbard, K. A. B., Adams, J. H., & Whitten, D. D. (2011). Purchasing And Supply Chain Management Practices in Greek Small and Medium Sized Business Enterprises (SMES). International Business & Economics Research Journal (IBER), 7(6). https://doi.org/10.19030/iber.v7i6.32 63
      • [9] Maleka, T., Nyirenda, G., & Fakoya, M. (2017). The Relationship between Waste Management Expenditure and Waste Reduction Targets on Selected JSE Companies. Sustainability, 9(9), 1528. https://doi.org/10.3390/su9091528
      • [10] Mentzer, J. T., DeWitt, W., Keebler, J. S., Min, S., Nix, N. W., Smith, C. D., & Zacharia, Z. G. (2001). DEFINING SUPPLY CHAIN MANAGEMENT. Journal of Business Logistics, 22(2), 1–25. https://doi.org/10.1002/j.2158- 1592.2001.tb00001.x
      • [11] Sezen, B., & Çankaya, S. Y. (2018). Green supply chain management theory and practices. In Operations and Service Management: Concepts, Methodologies, Tools, and Applications (pp. 118-141). Igi Global.
      • [12] WANG, Y., Sui, X., Liu, D., & Li, F. (2022). Does logistics efficiency matter? Evidence from green economic efficiency side. Research in International Business and Finance, 61, 101650. https://doi.org/10.1016/j.ribaf.2022.1 01650
      • [13] Kolinski, A., & Sliwczynski, B. (2015). Evaluation problem and assessment method of warehouse process efficiency. Business Logistics in Modern Management.
      • [14] Jin, X., Zhong, M., Quan, X., Li, S., & Zhang, H. (2016, July). Dynamic scheduling of mobile-robotic warehouse logistics system. In 2016 35th Chinese Control Conference (CCC) (pp. 2860-2865). IEEE.
      • [15] Abdul Rahman, N. S. F., Karim, N. H., Md Hanafiah, R., Abdul Hamid, S., & Mohammed, A. (2023). Decision analysis of warehouse productivity performance indicators to enhance logistics operational efficiency. International Journal of Productivity and Performance Management, 72(4), 962-985.
      • [16] Kłodawski, M., Lewczuk, K., Jacyna- Gołda, I., & Żak, J. (2017). Decision making strategies for warehouse operations. Archives of Transport, 41.
      • [17] Bingqing, F., & Liting, C. (2020, November). Study on warehouse site selection based on AHP. In 2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) (pp. 276-280). IEEE.
      • [18] Kučera, T. (2019). Calculation of Logistics Costs of Implementation Innovative Automatic Identification System in the Warehouse. In International Days of Statistics and Economics: conference proceedings. Melandrium.
      • [19] Shu, B., Pei, F., Zheng, K., & Yu, M. (2021). LIRP optimization of cold chain logistics in satellite warehouse mode of supermarket chains. Journal of Intelligent & Fuzzy Systems, 41(4), 4825-4839.
      • [20] Duan, L. M. (2018). Path Planning for Batch Picking of Warehousing and Logistics Robots Based on Modified A* Algorithm. International Journal of Online Engineering, 14(11).
      • [21] Bassan, Y., Roll, Y., & Rosenblatt, M. J. (1980). Internal layout design of a warehouse. AIIE Transactions, 12(4), 317-322.
      • [22] Hsieh, L. F., & Tsai, L. (2006). The optimum design of a warehouse system on order picking efficiency. The International Journal of Advanced Manufacturing Technology, 28, 626- 637.
      • [23] Jermsittiparsert, K., Sutduean, J., & Sriyakul, T. (2019). Role of warehouse attributes in supply chain warehouse efficiency in Indonesia. International Journal of Innovation, Creativity and Change, 5(2), 786-802.
      • [24] Moons, K., Waeyenbergh, G., & Pintelon, L. (2019). Measuring the logistics performance of internal hospital supply chains–a literature study. Omega, 82, 205-217.
      • [25] Wiedenhofer, D., Fishman, T., Lauk, C., Haas, W., & Krausmann, F. (2019). Integrating material stock dynamics into economy-wide material flow accounting: concepts, modelling, and global application for 1900–2050. Ecological economics, 156, 121-133.
      • [26] Graedel, T. E. (2019). Material flow analysis from origin to evolution. Environmental science & technology, 53(21), 12188-12196.
      • [27] Muchaendepi, W., Mbohwa, C., Hamandishe, T., & Kanyepe, J. (2019). Inventory management and performance of SMEs in the manufacturing sector of Harare. Procedia Manufacturing, 33, 454-461.
      • [28] Ding, Y., Jin, M., Li, S., & Feng, D. (2021). Smart logistics based on the internet of things technology: an overview. International Journal of Logistics Research and Applications, 24(4), 323-345.
      • [29] Kučera, T. (2017). Logistics cost calculation of implementation warehouse management system: a case study. In MATEC Web of Conferences. Vol. 134 (2017): 18th International Scientific Conference- LOGI 2017. EDP Sciences.
      • [30] Milewski, D., & Milewska, B. (2023). Efficiency of the Consumption of Energy in the Road Transport of Goods in the Context of the Energy Crisis. Energies, 16(3), 1257–1257. https://doi.org/10.3390/en16031257
      • [31] Yugang H. (2020). How do Energy Consumption, Economic Growth and Logistics Development Interrelate? Journal of Distribution Science, 18(1), 71–83. https://doi.org/10.15722/jds.18.1.20 2001.71
      • [32] Wang, X., & Dong, F. (2023). The dynamic relationships among growth in the logistics industry, energy consumption, and carbon emission: Recent evidence from China. Journal of Petroleum Exploration and Production Technology, 13(1), 487-502.
      • [33] Russell, D., Coyle, J., Ruamsook, K., & Thomchick, E. (2014). The real impact of high transportation costs. Www.supplychainquarterly.com. https://www.supplychainquarterly.co m/articles/838-the-real-impact-of- high-transportation-costs
      • [34] OptimoRoute. (2022, March 28). Logistics Costs: How to Measure & Reduce Them. OptimoRoute. https://optimoroute.com/logistics- cost/
      • [35] Wantanakomol, S. (2021). The effect of guidelines on reducing logistics costs. Uncertain Supply Chain Management, 9(3), 667-674.
      • [36] Sebatjane, M., & Adetunji, O. (2021). Optimal lot-sizing and shipment decisions in a three-echelon supply chain for growing items with inventory level-and expiration date-dependent demand. Applied Mathematical Modelling, 90, 1204-1225.
      • [37] Dima, I., Patyk, M., Florin, R., Novak-Marcincin, J., & A., T. (2010). Logistcs costs estimation in case of industrial waste management.
      • [38] Zwolińska, B., & Michlowicz, E. (2011). Logistics costs in the waste disposal system on the example of a steel mill. Total Logistic Management, 167-176.
      • [39] Rihn, G. (2022, August 29). In My Opinion: Coping with ever-increasing logistics costs. Resource Recycling News. https://resource- recycling.com/recycling/2022/08/29/i n-my-opinion-coping-with-ever- increasing-logistics-costs/
      • [40] Ene, S., Küçükoğlu, İ., Aksoy, A., & Öztürk, N. (2016). A genetic algorithm for minimizing energy consumption in warehouses. Energy, 114, 973-980.
      • [41] RAHAL, F., & ZENNIR, I. (2021). The Impact of Green Supply Chain Management on Operational Efficiency. Case study: Unilever.
      • [42] Iqbal, M. W., Kang, Y., & Jeon, H. W. (2020). Zero waste strategy for green supply chain management with minimization of energy consumption. Journal of Cleaner Production, 245, 118827.
      • [43] Aliyev, M., Kansime, K. D., & Hasan, S. M.(2022) TSINGHUA UNIVERSITY IEDE PROGRAM GROUP PROJECT INNOVATING GLOBAL GREEN SUPPLY CHAIN MANAGEMENT.
      • [44] Stekelorum, R., Laguir, I., Gupta, S., & Kumar, S. (2021). Green supply chain management practices and third- party logistics providers’ performances: A fuzzy-set approach. International Journal of Production Economics, 235, 108093.
      • [45] Laguir, I., Stekelorum, R., & El Baz, J. (2021). Going green? Investigating the relationships between proactive environmental strategy, GSCM practices and performances of third- party logistics providers (TPLs). Production Planning & Control, 32(13), 1049-1062.
      • [46] Sahar, D. P., Afifudin, M. T., & Indah, A. B. R. (2020, October). Review of green supply chain management in manufacturing: A case study. In IOP Conference Series: Earth and Environmental Science (Vol. 575, No. 1, p. 012239). IOP Publishing.
      • [47] Cleophas, T. J., Zwinderman, A. H., Cleophas, T. J., & Zwinderman, A. H. (2018). Bayesian Pearson correlation analysis. Modern Bayesian statistics in clinical research, 111-118.
      • [48] Huamin, G. (1988) Brief Introduction to Path Analysis and Its Application [J]. Practice and Understanding of Mathematics, 37-45.
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