Assessing the sustainability of transport supply chains by double frontier network data envelopment analysis

被引：22

作者：

Saen, Reza Farzipoor ^{[1
]}

Karimi, Balal ^{[2
]}

Fathi, Amirali ^{[3
]}

机构：

[1] Sultan Qaboos Univ, Coll Econ & Polit Sci, Dept Operat Management & Business Stat, Muscat, Oman

[2] Islamic Azad Univ, Dept Math, Karaj Branch, Karaj, Iran

[3] Islamic Azad Univ, Dept Management, UAE Branch, Dubai, U Arab Emirates

来源：

JOURNAL OF CLEANER PRODUCTION | 2022年 / 354卷

关键词：

Sustainability; Transportation industry; Network data envelopment analysis (NDEA); Malmquist productivity index (MPI); Double frontier; Non-discretionary inputs; Integer data; Undesirable outputs; ANALYSIS MODEL; EFFICIENCY ANALYSIS; ENERGY EFFICIENCY; INTEGER DATA; DEA MODELS; PERFORMANCE; PRODUCTIVITY; MANAGEMENT; INDUSTRY; SECTOR;

D O I：

10.1016/j.jclepro.2022.131771

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The transport industry is one of the main contributors to environmental pollution. Sustainable supply chain management (SSCM) is an essential subject in the transportation industry. Today, one of the important goals of organizations is to evaluate the sustainability of supply chain (SC) because assessing the efficiency of SCs helps organizations to enhance their awareness of performance and develop managerial strategies. Data envelopment analysis (DEA) is a common technique to assess the sustainability. The objective of this paper is to propose a Malmquist productivity index (MPI) based on network data envelopment analysis (NDEA) model in the presence of integer data, undesirable outputs, and non-discretionary inputs. The NDEA models deal with the internal structure of decision making units (DMUs). The MPI reflects the productivity change over time. The proposed model can fully rank DMUs. To prove the applicability of the proposed model, the sustainability of intercity passenger transportation is evaluated.

引用

页数：14