scholarly journals An Integrated Fuzzy Approach for Strategic Alliance Partner Selection in Third-Party Logistics

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Burak Erkayman ◽  
Emin Gundogar ◽  
Aysegul Yılmaz
Keyword(s):  
Hierarchical Structure ◽  
Selection Criteria ◽  
Strategic Alliance ◽  
Multicriteria Decision Making ◽  
Third Party ◽  
Strategic Decision ◽  
Third Party Logistics ◽  
Alliance Partner ◽  
The Hierarchical Structure ◽  
Criteria Weights

Outsourcing some of the logistic activities is a useful strategy for companies in recent years. This makes it possible for firms to concentrate on their main issues and processes and presents facility to improve logistics performance, to reduce costs, and to improve quality. Therefore provider selection and evaluation in third-party logistics become important activities for companies. Making a strategic decision like this is significantly hard and crucial. In this study we proposed a fuzzy multicriteria decision making (MCDM) approach to effectively select the most appropriate provider. First we identify the provider selection criteria and build the hierarchical structure of decision model. After building the hierarchical structure we determined the selection criteria weights by using fuzzy analytical hierarchy process (AHP) technique. Then we applied fuzzy technique for order preference by similarity to ideal solution (TOPSIS) to obtain final rankings for providers. And finally an illustrative example is also given to demonstrate the effectiveness of the proposed model.

A grey DEMATEL approach to develop third-party logistics provider selection criteria

2016 ◽  
Vol 116 (4) ◽  
pp. 690-722 ◽  
Author(s):  
Kannan Govindan ◽  
Roohollah Khodaverdi ◽  
Amin Vafadarnikjoo
Keyword(s):  
Competitive Advantage ◽  
Customer Service ◽  
Financial Stability ◽  
Selection Criteria ◽  
Grey System Theory ◽  
Third Party ◽  
Main Role ◽  
Third Party Logistics ◽  
Grey System ◽  
Content Type

Purpose – Third-party logistics (3PL) plays a main role in supply chain management and, as a result, has experienced remarkable growth. The demand for 3PL providers has become a main approach for companies to offer better customer service, reduce costs, and gain competitive advantage. This paper identifies important criteria for 3PL provider selection and evaluation, and the purpose of this paper is to select 3PL providers from the viewpoint of firms which were already outsourcing their logistics services. Design/methodology/approach – This study utilized the grey decision-making trial and evaluation laboratory (DEMATEL) method to develop 3PL provider selection criteria. Because human judgments are vague and complicated to depict by accurate numerical values, the grey system theory is used to handle this problem. Findings – The findings revealed the structure and interrelationships between criteria and identified the main criteria for 3PL provider selection. The most important criteria for 3PL provider selection are on time delivery performance, technological capability, financial stability, human resource policies, service quality, and customer service, respectively. Practical implications – The paper’s results help managers of automotive industries, particularly in developing countries, to outsource logistics activities to 3PL providers effectively and to create a significant competitive advantage. Originality/value – The main contributions of this paper are twofold. First, this paper proposes an integrated grey DEMATEL method to consider interdependent relationships among the 3PL provider selection criteria. Second, this study is one of the first studies to consider 3PL provider selection in a developing country like Iran.

scholarly journals A Multistakeholder Approach to the Airport Gate Assignment Problem: Application of Fuzzy Theory for Optimal Performance Indicator Selection

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Haonan Li ◽  
Xu Wu ◽  
Yinghui Liang ◽  
Chen Zhang
Keyword(s):  
Decision Making ◽  
Selection Criteria ◽  
Performance Indicator ◽  
Fuzzy Theory ◽  
Multicriteria Decision Making ◽  
Performance Criterion ◽  
Indicator Selection ◽  
Fuzzy Clustering Method ◽  
Criteria Weights ◽  
Gate Assignment

Airport gate assignment performance indicator selection is a complicated decision-making problem with strong subjectivity and difficulty in measuring the importance of each indicator. A better selection of performance indicators (PIs) can greatly increase the airport overall benefit. We adopt a multicriteria decision-making approach to quantify qualitative PIs and conduct subsequent selection using the fuzzy clustering method. First, we identify 21 commonly used PIs through literature review and survey. Subsequently, the fuzzy analytic hierarchy process technique was employed to obtain the selection criteria weights based on the relative importance of significance, availability, and generalisability. Further, we aggregated the selection criteria weights and experts’ score to evaluate each PI for the clustering process. The fuzzy-possibilistic product partition c-means algorithm was applied to divide the PIs into different groups based on the three selection criteria as partitioning features. The cluster with highest weights of the centre was identified as the very high-influence cluster, and 10 PIs were identified as a result. This study revealed that the passenger-oriented objective is the most important performance criterion; however, the relevance of the airport/airline-oriented and robustness-oriented performance objectives was highlighted as well. It also offers a scientific approach to determine the objective functions for future gate assignment research. And, we believe, through slight modifications, this model can be used in other airports, other indicator selection problems, or other scenarios at the same airport to facilitate policy making and real situation practice, hence facilitate the management system for the airport.

scholarly journals Benchmarking criteria for evaluating third-party logistics providers in South Africa

2017 ◽  
Vol 11 ◽  
Author(s):  
Claudia Karrapan ◽  
Mndeni Sishange ◽  
Elana Swanepoel ◽  
Peter J. Kilbourn
Keyword(s):  
South Africa ◽  
Selection Criteria ◽  
Selection Process ◽  
Third Party ◽  
Third Party Logistics ◽  
Logistics Outsourcing ◽  
Ranking Criteria ◽  
The Relationship ◽  
Ranking Index ◽  
Selection Of

Background: In South Africa, deemed the ‘gateway to Africa’, there is limited evidence of the existence of a survey ranking third-party logistics providers (3PLs). This lack of comparative information of the major 3PLs based on key outsourcing and ranking criteria complicates the selection process for companies that intend to contract 3PLs.Objective: The purpose of this article was to determine the critical selection and ranking criteria for the creation of an index to evaluate 3PLs in South Africa for developing a 3PL benchmarking index.Method: Survey data were collected from 103 of the Top 500 Companies in Africa that use 3PLs and operate within the sectors that mostly outsource logistics services in South Africa. A factor analysis method was employed.Results: Three factors for 3PLs selection converged: service quality, information management and compliance, and collaboration. The top three ranked categories for 3PLs selection are cost and price structure, service delivery and the relationship with the 3PL provider. Most respondents (90%) confirmed a need for a 3PLs index in South Africa.Conclusion: The results help managers with the strategic selection of 3PLs as these critical logistics outsourcing selection criteria can be used to evaluate and rank 3PLs prior to contracting. Based on the selection criteria for logistics outsourcing identified and ranked in this article, a ranking index for 3PLs in South Africa can be developed.

Benefits, Risks, Selection Criteria and Success Factors for Third-Party Logistics Services

2008 ◽  
Vol 10 (4) ◽  
pp. 380-392 ◽  
Author(s):  
Konstantinos Selviaridis ◽  
Martin Spring ◽  
Vassilios Profillidis ◽  
George Botzoris
Keyword(s):  
Selection Criteria ◽  
Success Factors ◽  
Third Party ◽  
Third Party Logistics ◽  
Logistics Services

Sustainable evaluation and selection of potential third-party logistics (3PL) providers

2018 ◽  
Vol 25 (1) ◽  
pp. 76-97 ◽  
Author(s):  
Rakesh Raut ◽  
Manoj Kharat ◽  
Sheetal Kamble ◽  
Chandra Shekhar Kumar
Keyword(s):  
Supply Chain ◽  
Environmental Sustainability ◽  
Selection Criteria ◽  
Integrated Approach ◽  
Integrated Model ◽  
Decision Makers ◽  
Third Party ◽  
Third Party Logistics ◽  
Content Type ◽  
Selection Of

Purpose The purpose of this paper is to efficiently assist the decision makers in evaluating and selecting the most appropriate third-party logistics (3PL) provider from environmental sustainability perspective using a two-phase model based on data envelopment analysis (DEA) and analytic network process (ANP). Design/methodology/approach The study uses an integrated approach of DEA and ANP as an evaluation and selection methodology to select an efficient and requisite 3PL. The integrated model is a sound technique for 3PL evaluation and selection. DEA effectively screens the maximally efficient 3PLs, whereas ANP easily performs the cumbersome process of weighting diverse criteria and ranks various alternatives according to their performance on the basis of these criteria. This study lists the prominent evaluation and selection criteria taking into consideration the environmental sustainability. Finally, a real-life industrial application is presented to demonstrate the proposed method. Findings The current research work is devoted to the emerging research topic of environmental sustainability in logistics industry and supply chain management. The results of study indicate that eco-efficient transportation and 3PLs lead better transportation planning, better inventory and warehouse management, lower inventory cost and sustainable supply chain operations. Also, the applied approach enables the decision makers to better understand the complex relationships of the relevant criteria in the decision-making process. Research limitations/implications This study does not investigate the relationships between environmental performances and differentiation advantage from the perspective of 3PLs. Also, sensitivity analysis is not performed. Practical implications The developed integrated model enables decision analysts to better understand the complete evaluation process of 3PL evaluation and selection considering environmental sustainability perspective. Furthermore, the developed approach provides a more flexible, simple, accurate, effective, and systematic decision support tool for 3PL evaluation and selection. Originality/value The current study is first of its kind to use the integrated approach in evaluation and selection of 3PLs from environmental sustainability perspective considering the inter-dependencies among the evaluation and selection criteria.

scholarly journals A Model to Choose Hub and Route Determination

2019 ◽  
Vol 20 (2) ◽  
pp. 182
Author(s):  
Kevin Kevin ◽  
Y. M. Kinley Aritonang ◽  
Julius Dharma Lesmono
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Third Party ◽  
Strategic Decision ◽  
Third Party Logistics ◽  
Transport Costs ◽  
Cost Of Transport ◽  
Routing Problem ◽  
Total Transport

Determining a transport hub is a strategic decision to build a good distribution flow. In this paper, We suggested a model for choosing hub locations as sources for companies. In previous studies, The determination of hub locations with a vehicle routing problem is not integrated. Therefore, This study built a model to assess the position of the hubs by considering the budget. The business should have a decision on vehicle routing with hubs to reduce total transport costs. In addition, the method of distribution of goods for hubs and non-hubs with third-party logistics was determined by the use of a vehicle routing problem. The optimal weight obtained through the analysis of sensitivity. In the sensitivity analysis, This study found that the best choice in this study was to use a weight of 0.9–1.0. This provides the lowest total cost of transport.

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