A SBM-NDEA Model for Evaluating the Efficiency of Cross-Docking Systems under Uncertainty: A Fuzzy Reasoning-Neutrosophic Programming Approach | ||
| Journal of Quality Engineering and Production Optimization | ||
| مقاله 3، دوره 9، شماره 2، اسفند 2024، صفحه 47-84 اصل مقاله (1.47 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22070/jqepo.2025.19829.1289 | ||
| نویسندگان | ||
| Andisheh Sadat Allaei1؛ Behnam Vahdani* 2؛ Habib Reza Gholami1؛ Alireza Alinezhad1 | ||
| 1Department of Industrial Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran | ||
| 2Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran | ||
| چکیده | ||
| While the evaluation of warehouses' efficiency through various methods has been increasingly prominent in recent times, this study stands out as the pioneering attempt to evaluate the efficiency of cross-docking systems. To this end, this study delves into a detailed analysis of a cross-docking system's structure, taking into account a wide array of factors that impact its operational performance, such as inbound and outbound doors, different modes of transportation, inspection processes, kitting activities, storage procedures, retrieval tasks, and staging operations. Furthermore, a comprehensive range of key performance indicators (KPIs) are recommended for every aspect related to digitization, automation, sustainability, resiliency, and lean principles. Also, a novel slack-based measure network data envelopment analysis (SBM-NDEA) model is developed to assess the efficiency of cross-docking systems with regard to undesirable factors. What is more, a novel hybrid uncertainty method is presented, which incorporates fuzzy reasoning techniques and Neutrosophic fuzzy programming to address uncertainties in the recommended KPIs and quantify qualitative assessments. Ultimately, a case study is analyzed to highlight the efficacy and validity of the developed model and uncertainty methodology. The findings reveal that the simultaneous and effective application of pre-distribution and post-distribution policies can boost the efficiency of the analyzed system by 33%. Furthermore, modifying the layout to remove unnecessary transportation activities can result in a 21% improvement in efficiency. | ||
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