Supply Chains' Efficiency Evaluation Based on Network DEA CCR Model and BCC Model

2015 ◽  
Vol 12 (7) ◽  
pp. 2857-2869 ◽  
Author(s):  
Mengyi Sha
Keyword(s):  
Supply Chains ◽  
Efficiency Evaluation ◽  
Network Dea ◽  
Ccr Model

scholarly journals How to evaluate sustainability of supply chains? A dynamic network DEA approach

2017 ◽  
Vol 117 (9) ◽  
pp. 1866-1889 ◽  
Author(s):  
Vahid Shokri Kahi ◽  
Saeed Yousefi ◽  
Hadi Shabanpour ◽  
Reza Farzipoor Saen
Keyword(s):  
Big Data ◽  
Supply Chains ◽  
Real World ◽  
Performance Optimization ◽  
Network Dynamic ◽  
Network Dea ◽  
Content Type ◽  
Dea Model ◽  
Proposed Model ◽  
First Time

Purpose The purpose of this paper is to develop a novel network and dynamic data envelopment analysis (DEA) model for evaluating sustainability of supply chains. In the proposed model, all links can be considered in calculation of efficiency score. Design/methodology/approach A dynamic DEA model to evaluate sustainable supply chains in which networks have series structure is proposed. Nature of free links is defined and subsequently applied in calculating relative efficiency of supply chains. An additive network DEA model is developed to evaluate sustainability of supply chains in several periods. A case study demonstrates applicability of proposed approach. Findings This paper assists managers to identify inefficient supply chains and take proper remedial actions for performance optimization. Besides, overall efficiency scores of supply chains have less fluctuation. By utilizing the proposed model and determining dual-role factors, managers can plan their supply chains properly and more accurately. Research limitations/implications In real world, managers face with big data. Therefore, we need to develop an approach to deal with big data. Practical implications The proposed model offers useful managerial implications along with means for managers to monitor and measure efficiency of their production processes. The proposed model can be applied in real world problems in which decision makers are faced with multi-stage processes such as supply chains, production systems, etc. Originality/value For the first time, the authors present additive model of network-dynamic DEA. For the first time, the authors outline the links in a way that carry-overs of networks are connected in different periods and not in different stages.

Developing Double Frontier Version of Dynamic Network DEA Model: Assessing Sustainability of Supply Chains

2020 ◽  
Vol 51 (3) ◽  
pp. 804-829 ◽  
Author(s):  
Tahmoures Samavati ◽  
Taliva Badiezadeh ◽  
Reza Farzipoor Saen
Keyword(s):  
Supply Chains ◽  
Dynamic Network ◽  
Network Dea ◽  
Dea Model

Efficiency evaluation of regional ecological economic systems based on the network DEA model

2020 ◽  
Vol 13 (3) ◽  
pp. 286
Author(s):  
Teng Ren ◽  
Zhongbao Zhou ◽  
Sidi Li ◽  
Shijian Wu ◽  
Binghua Song
Keyword(s):  
Economic Systems ◽  
Efficiency Evaluation ◽  
Network Dea ◽  
Dea Model ◽  
Ecological Economic

scholarly journals A Model of an Economic Efficiency Evaluation System of a Maritime Container Supply Chain

2019 ◽  
Vol 82 ◽  
pp. 151-160
Author(s):  
Jędrzej Charłampowicz
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Economic Efficiency ◽  
Global Economy ◽  
Evaluation System ◽  
Global Trade ◽  
Economic Modelling ◽  
Efficiency Evaluation ◽  
Current State ◽  
Critical Literature

Containerization was one of the catalysts of the globalization processes that took place in the 20th century. Nowadays container shipping is one of the main transport modes in the global economy. The ability to connect distant production centres with consumption centres largely influenced the acceleration of the global trade. Due to the globalization and characteristics of the global trade it is almost impossible to perceive global supply chains without maritime transport. Although the efficiency of the supply chain is a crucial factor of the economic perspective of supply chain management, not much space is devoted to that issue in the literature. The main purpose of this paper is to design and develop a model of an economic efficiency evaluation system of maritime container supply chains. Some general research methods, such as a critical literature review and methods of logical reasoning were used to achieve this goal. Additionally some economic modelling methods were adapted. Thepresented model isdeveloping the current state-of-the-art knowledge in the field of economic efficiency evaluation of supply chains. Unfortunately this model could not be confronted with real business data due to research limitations.

scholarly journals Efficiency evaluation of closed-loop supply chains with proportional dual-role measures

Kybernetika ◽  
2020 ◽  
pp. 695-721
Author(s):  
Monireh Jahani Sayyad Noveiri ◽  
Sohrab Kordrostami ◽  
Alireza Amirteimoori
Keyword(s):  
Supply Chains ◽  
Closed Loop ◽  
Dual Role ◽  
Efficiency Evaluation ◽  
Closed Loop Supply Chains

Assessing sustainability of supply chains by double frontier network DEA: A big data approach

2018 ◽  
Vol 98 ◽  
pp. 284-290 ◽  
Author(s):  
Taliva Badiezadeh ◽  
Reza Farzipoor Saen ◽  
Tahmoures Samavati
Keyword(s):  
Big Data ◽  
Supply Chains ◽  
Network Dea

Multi-Tier Supplier Selection Using Total Cost of Ownership and Data Envelopment Analysis

2020 ◽  
pp. 597-622
Author(s):  
Feras Saleh
Keyword(s):  
Data Envelopment Analysis ◽  
Quality Management ◽  
Supply Chains ◽  
Supplier Selection ◽  
Global Supply Chains ◽  
Data Envelopment ◽  
Total Cost Of Ownership ◽  
Network Dea ◽  
Total Cost ◽  
Cost Of Ownership

Quality management across multiple tiers is vital to minimize cost of quality in global supply chains. In this chapter, the authors address the problem of supplier selection in multi-tier global supply chains with the purpose of overall quality management. A hybrid approach based on total cost of ownership (TCO) and network data envelopment analysis (DEA) is proposed. The TCO looks beyond the quoted cost to cover additional true costs related to the entire purchasing cycle. The cost categories included are quoted price, manufacturing costs, quality costs, design costs, logistics costs, after sales service, and social/environmental costs. Network DEA is used to rank the suppliers based on the TCO cost categories. The advantage of network DEA is its ability to investigate intermediate linkages between different stages of the supply chain. The results of network DEA are efficient suppliers and improvement targets for inefficient suppliers for improving overall quality in global supply chains. A numerical application is provided.

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