Network DEA-based biobjective optimization of product flows in a supply chain

2017 ◽  
Vol 264 (1-2) ◽  
pp. 307-323 ◽  
Author(s):  
Sebastian Lozano ◽  
Belarmino Adenso-Diaz
Keyword(s):  
Supply Chain ◽  
Network Dea ◽  
Biobjective Optimization

Application of Improved Data Envelopment Analysis in Construction Supply Chain Management

2014 ◽  
Vol 638-640 ◽  
pp. 2388-2392
Author(s):  
Xiang Chen ◽  
Jun Yong Tang
Keyword(s):  
Supply Chain ◽  
Data Envelopment Analysis ◽  
Supply Chain Management ◽  
Evaluation Model ◽  
Data Envelopment ◽  
Network Dea ◽  
Chain Management ◽  
External Stimulation ◽  
Construction Engineering ◽  
Performance Evaluation Model

The internal pressure and external stimulation contribute to focus on supply chain management in construction field. The construction engineering calls for research and practice of construction supply chain management. The paper comprehensively discusses on Data Envelopment Analysis (DEA) method. Combining with characteristics of construction supply chain, an improved DEA was brought out. The method divides overall into a series of core sub-systems. A supply chain relative performance evaluation model was provided based on network DEA. Integrated advantages of traditional DEA and network DEA, the overall performance and sub-process performance were evaluated respectively to achieve overall grasp and local control on construction supply chain evaluation.

scholarly journals Efficiency of Green Supply Chain in the presence of non-discretionary and undesirable factors, using Data Envelopment Analysis

2021 ◽  
Vol 15 (3) ◽  
pp. 78-96
Author(s):  
Mehdi Shoja ◽  
Farhad Hosseinzadeh Lotfi ◽  
Amir Gholam Abri ◽  
Alireza Rashidi Komijan
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
Operations Management ◽  
Production Scheduling ◽  
Service Sector ◽  
Raw Materials ◽  
Stock Exchange ◽  
Supply And Demand ◽  
Dual Model ◽  
Network Dea

A new approach that has dominated the production operations management field in recent years is supply chain management. A supply chain includes all the facilities, tasks and activities involved in manufacturing a product from suppliers to customers. Its various elements are planning, supply and demand management, procurement of raw materials, production scheduling, distribution and delivery of products to the customer. Special structures in the supply chain have been less studied in previous research. In this paper, the supply chain and its performance evaluation are examined in the presence of non-discretionary, undesirable and negative data. For this purpose, another model of the network DEA is presented which evaluates performance of the chain in the presence of non-discretionary inputs and outputs, undesirable outputs and negative outputs even in its internal structure. The efficiency of the chain stages is also calculated using a dual model. Subsequently, 42 cement companies listed on the Tehran stock exchange were evaluated, each of which has a chain of four stages including suppliers, manufacturers, distributors and customers. Based on the implementation of the model, six companies were found to be efficient and the rest were introduced as inefficient. Moreover, 25 cement companies in the Supplier sector, 18 companies in the manufacturing sector, seven companies in the distribution sector and finally 17 companies in the customer service sector were found to be efficient.

scholarly journals Evaluations of port performances from a seaborne cargo supply chain perspective

2013 ◽  
Vol 20 (Special-Issue) ◽  
pp. 20-31 ◽  
Author(s):  
Joyce M.W Low ◽  
Shao Wei Lam
Keyword(s):  
Supply Chain ◽  
Network Dea ◽  
Efficient System ◽  
Dea Model ◽  
Service Effectiveness ◽  
Port Efficiency ◽  
Final Output ◽  
Ccr Model

Abstract Previous research on port efficiency focuses primarily on the provider’s perspective and assumes that maximizing the output is always desirable. This paper recognizes that maximizing the final output does not necessarily guarantee an efficient system and the notion of port efficiency and service effectiveness needs to be considered from the perspectives of both the provider and the consumer of the port service. The paper proposes a network-DEA model to evaluate the performances of 30 seaports worldwide. The concurrent consideration of efficiency scores from the network-DEA model and the traditional DEA-CCR model will offer valuable insights to port operators on how to improve port performances as part of a seaborne cargo supply chain.

scholarly journals Designing a Fuzzy Strategic Integrated Multiechelon Agile Supply Chain Network

2013 ◽  
Vol 2013 ◽  
pp. 1-16 ◽  
Author(s):  
Morteza Abbasi ◽  
Reza Hosnavi ◽  
Mehrdad Mohammadi
Keyword(s):  
Supply Chain ◽  
Design Criterion ◽  
Strategic Decision ◽  
Supply Chain Network ◽  
Distribution Centers ◽  
Nsga Ii ◽  
Volume Flexibility ◽  
Simulating Annealing ◽  
Biobjective Optimization ◽  
The Cost

This paper integrates production, distribution and logistics activities at the strategic decision making level, where the objective is to design a multiechelon supply chain network considering agility as a key design criterion. A network with five echelons of supply chains including suppliers, plants, distribution centers, cross-docks, and customer zones is addressed in this paper. The problem has been mathematically formulated as a biobjective optimization model that aims to minimize the cost (fixed and variable) and maximize the plant flexibility and volume flexibility. A novel multiobjective parallel simulating annealing algorithm (MOPSA) is proposed to obtain the Pareto-optimal solutions of the problem. The performance of the proposed solution algorithm is compared with two well-known metaheuristics, namely, nondominated sorting genetic algorithm (NSGA-II) and Pareto archive evolution strategy (PAES). Computational results show that MOPSA outperforms the other metaheuristics.

Sustainable supply chain evaluation: A dynamic double frontier network DEA model with interval type-2 fuzzy data

2019 ◽  
Vol 504 ◽  
pp. 394-421 ◽  
Author(s):  
Xiaoyang Zhou ◽  
Ying Wang ◽  
Jian Chai ◽  
Liqin Wang ◽  
Shouyang Wang ◽  
...  
Keyword(s):  
Supply Chain ◽  
Fuzzy Data ◽  
Sustainable Supply Chain ◽  
Network Dea ◽  
Dea Model ◽  
Interval Type

scholarly journals Interval Type-2 Fuzzy Super SBM Network DEA for Assessing Sustainability Performance of Third-Party Logistics Service Providers Considering Circular Economy Strategies in the Era of Industry 4.0

2021 ◽  
Vol 13 (11) ◽  
pp. 6497
Author(s):  
Mahsa Pishdar ◽  
Masoumeh Danesh Shakib ◽  
Jurgita Antucheviciene ◽  
Arvydas Vilkonis
Keyword(s):  
Supply Chain ◽  
Circular Economy ◽  
Industry 4.0 ◽  
Service Providers ◽  
Third Party ◽  
Third Party Logistics ◽  
Network Dea ◽  
Sustainability Performance ◽  
Interval Type

Stakeholders are increasingly aware of the aspect of sustainability, and the fact that the circular economy facilitates the achievement of sustainable development goals. They place pressure on supply chains to become sustainable, and for this reason, third-party logistics (3PL) service providers, as specialized professionals, play a vital role in sustainable supply chain management. Although developments in technology in the era of Industry 4.0 have been effective at directing 3PLs along the path towards sustainability, integrated management of forward and reverse logistics systems in order to achieve a circular economy and to become sustainable remains a problem, even in developed countries. However, benchmarking and using the experiences of others can help to speed up this path at a minimal cost. An interval type-2 fuzzy super-slack-based measure network DEA was developed to make such benchmarking possible. Governance style, staff behavior, environmental management systems, and social elements are considered, alongside the principles of the circular economy, in order to compare the sustainability performance of 17 3PLs with respect to different aspects through the application of the developed DEA model. Proper benchmarking with respect to strategies and operations of the 3PLs that are recognized as efficient makes it possible for these 3PLs to overcome obstacles and progress at a lower cost. The results show that 3PLs do not have a comprehensive sustainability strategy that is coordinated with an overall vision of the total supply chain. An investigation into the development of a framework with multiple steps for the guidance of 3PLs, as well as the whole supply chain, towards sustainability in the Industry 4.0 era would be a fruitful next study.

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