Cross-Efficiency and Multi-Criteria Decision-Making for the Selection of Third- and Fourth-Party Logistics Services with a Green Supply Chain Management Approach
Subject Areas : International Journal of Data Envelopment Analysis
Kamyar Azizi
1
,
Morteza Shafiee
2
*
,
ALi Hajiha
3
1 - Department of Industrial Management, Islamic Azad University, North Tehran branch, Tehran
2 - Associate Professor of Department of Industrial Management, Economic and Management Faculty, Shiraz Branch, Islamic Azad University, Shiraz, Iran
3 - Department of Industrial Management, Islamic Azad University, North Tehran branch, Tehran,
Keywords: Logistics, Cross-efficiency, Green Supply Chain, Multi-criteria Decision-making, Data Envelopment Analysis.,
Abstract :
This study aims to determine third-party (3PL) and fourth-party (4PL) logistics services based on green supply chain management using cross-efficiency and multi-criteria decision-making. In today’s competitive environment, improving the performance of construction companies, especially in alignment with green supply chain objectives, is an essential necessity. In this research, the Analytic Hierarchy Process (AHP) was employed to determine the weights, and the Data Envelopment Analysis (DEA) method was used for ranking. Several companies from the Rasht Industrial City were selected for analysis, and the opinions of 10 experts were collected both qualitatively and quantitatively. The results showed that economic, environmental, and social factors were identified as the most important elements influencing the implementation of 3PL and 4PL services in the construction industry. This study, by providing a comprehensive framework for performance evaluation in the construction industry, emphasizes the importance of considering environmental components in enhancing organizational efficiency and competitiveness.
[1] Karimi, Jamshidi, & Bakhsham. (2023). Identification of Drivers and Indicators in Green Supply Chain Management Based on the Internet of Things. Industrial Management Studies, 21(69), 129–160.
[2] Farahabadi, Heydarpour, & Farzaneh. (2022). The Impact of Environmental Orientation on Financial Performance with Emphasis on the Effects of Green Supplier Management and Relational Capital. Judgment and Decision Making in Accounting, 1(1), 67–90.
[3] Rahimi, Javanmard, Azizi, Najafi, & Seyed Esmaeil. (2021). Identification of Logistics Processes and Components and Determining Relationships among Them for the Establishment of Logistics Centers (Case Study: Arak Logistics Center). Operations Management, 1(2), 121–145.
[4] Zarindast, A., Majidi, S., & Pishvaee, M. S. (2018). A System Dynamics Approach for Capacity Planning within a Closed-Loop Supply Chain: A Case Study of the Lead-Acid Battery Industry. Research in Production and Operations Management, 8(2), 175–191.
[5] Ghaemi Asl, M. (2022). Modeling the Performance of Fourth-Party Logistics (4PL) Companies Using a Metaheuristic Algorithm Based on Backup Path Embedding and Delivery Time Guarantee in the Transportation Network. (Unpublished manuscript or academic thesis; exact journal/source not specified).
[6] Sarkis, J. (Ed.). (2006). Greening the Supply Chain. Springer.
[7] Hashemi, S. Khalil, & Eskandari. (2022). Investigating the Relationship Between Green Human Resource Management and Environmental Collaborations with the Moderating Role of Internal Green Supply Chain Management among Employees of Zamzam Iran Company in Tabriz. Green Management Quarterly, 2(1), 1–16.
[8] Chiniforoush, & Sheykhzadeh. (2010). The Relationship Between Organizational Performance and Green Supply Chain in the National Petrochemical Industry. Exploration and Production, (69), 26–33.
[9] Shafiei, Morteza & Tarmast, Pegah. (2014). The Impact of Green Supply Chain Management Processes on Competitive Advantage and Organizational Performance: Case Study of SAPCO. Quantitative Studies in Management, 5(2).
[10] Tariyan, Zandhasami, Hessam, & Khamseh. (2022). Explaining the Key Factors Affecting the Implementation of Green Supply Chain Management in the Construction Industry Using Meta-Synthesis Approach. Industrial Management Studies, 67(20), 238–266.
[11] Zarei, Kajal, Moshayekhi-Nezamabadi, Elmira, & Zarei. (2024). Identification of Key Factors and Success Model for Implementing Green Supply Chain Management in Iran’s Construction Industry. Dynamic Management and Business Analytics, 9(3), 5–22.
[12] Jamasebi, Novin, Elfat, Laya, Amiri, Maghsoud, ... & Mirsaman. (2023). A Model for Evaluating and Selecting Sustainable Third-Party Logistics Providers in the Supply Chain Using a Hybrid Approach of Fuzzy AHP and COPRAS Technique (Case Study: Dairy Industry). Iranian Management Sciences Association Quarterly, 17(68), 45–74.
[13] Keramat, Bashir Khodaparasti, Ramin, Bagheri Ghareh Bagh, Houshmand, Asgarnajad Nouri, & Bagher. (2024). Investigating the Effect of Green Technology on Sustainable Performance Mediated by Smart Logistics and Moderated by Green Governance in Knowledge-Based Companies. Executive Management Research Journal, 16(32), 121–143.
[14] Hosseinzadeh Saljoughi, Farank, Pishgooee, & Hamidi. (2024). Fair Allocation of Fixed Costs in One- and Two-Stage Systems Using Data Envelopment Analysis. Innovation Management and Operational Strategies, 5(3), 348–367.