A Developed Data Envelopment Analysis Model for Efficient Sustainable Supply Chain Network Design

Abstract

In recent years, various organizations have focused on considering the sustainability concept in the supply chain (SC) design. Managers try to increase the sustainability of SCs to achieve a competitive advantage in today’s growing market. Designing a sustainable supply chain (SSC) by integrating economic, social, and environmental dimensions affects the SC’s overall performance. To achieve the SSC, decision makers (DMs) are required to evaluate different strategies and then apply the most effective one to design SC networks. This study proposes an assessment approach based on the network data envelopment analysis (DEA) to choose an efficient strategy for each stage of an SSC network. This approach seeks to provide a sustainable design with DMs to avoid imposing additional costs on SCs that result from noncompliance with environmental and social issues. To this end, we consider sustainability-concept-related inputs and outputs in the network DEA model to choose the most efficient strategy for SSC design. The strategy selection process can become an important issue, especially when SCs active in a competitive environment. Accordingly, a crucial feature of the presented model is considering the issue of competition to choose the efficient strategy. Furthermore, undesirable outputs and feedbacks and independent inputs and outputs for intermediate stages in the network system are considered to create a structure compatible with the real world. The output of the proposed approach enables DMs to select the appropriate strategy for each stage of the SSC network to maximize the aggregate efficiency of the network.

Sustainable Agro-Food Supply Chain in E-Commerce: Towards the Circular Economy

“…The study explored the triple bottom line to five dimensions of sustainability towards food supply chain systems. Moghaddas et al (2022) [20], proposed an evaluation approach, based on the network Data Envelopment Analysis (DEA) to choose an efficient plan for each phase of a sustainable supply chain network.…”

“…In the first instance, the following input data are chosen for the numerical example: there are three farmers' locations (FL); two local pickup centers (LPC); and two processing centers (PC), as also shown in Table 2. Other required data are as follows: cost of innovative food packaging materials per unit ton in INR- ; handling cost is Rs 10/-; last-mile pickup cost (per unit distance per vehicle) is Rs 20/-; carbon emissions taxation cost per unit fuel consumption per vehicle Rs 5/-; holding cost per unit ton Rs 12/-; transportation cost per distance per vehicle Rs 80/-; mileage of small-size vehicle- [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]; and the mileage of large-size vehicle- [2][3][4][5][6][7][8][9][10]. The availability at the farmers' locations of food grains in tons is [50,70,100], the demanded quantity- [10,25] and [10,20] at the LPCs and PCs, respectively, the storage capacity-[100,90] and [150,200] at the LPCs and PCs, respectively.…”

A Systematic Review of Sustainable Supply Chain Network Design: Optimization Approaches and Research Trends

“…With increasing industrialization and global development in production, consumption, and trading levels in recent decades, the need for effective supply chain management (SCM) has grown. SCM aims to improve the supply network's competitive performance by integrating and coordinating internal processes within a firm and connecting them with the external processes of other players in the network such as suppliers, manufacturers, customers, and other entities [1]. The role of the supply chain in the globe is changing as a result of the dynamics of firm development and globalization [2].…”

Hybrid Optimization of Green Supply Chain Network and Scheduling in Distributed 3D Printing Intelligent Factory

“…Production planning, capacity decision making and outsourcing are all long-term problems, and changes in decision making and demand have a great impact on costs [5,[21][22][23][24]. Supply chain operation and control problems still need to be solved after decision making, such as short-term planning and production decisions, so we need to design supply chain networks to achieve personalized production in order to reduce costs [25][26][27]. On the other hand, with the increasingly serious environmental problems in the world, the construction of a green supply chain system is an important means to promote national development [28][29][30], and reducing carbon emissions has become a factor that must be considered in supply chain design [31][32][33].…”