scholarly journals TYPE-2 FUZZY TOPSIS MODEL FOR GREEN THIRD PARTY LOGISTICS PROVIDER PERFORMANCE EVALUATION

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Ceren Atasever ◽  
B Ayvaz
Keyword(s):  
Performance Evaluation ◽  
Fuzzy Topsis ◽  
Third Party ◽  
Third Party Logistics ◽  
Provider Performance ◽  
Topsis Model

Information Exchange, Responsiveness and Logistics Provider Performance

1996 ◽  
Vol 7 (2) ◽  
pp. 43-58 ◽  
Author(s):  
Theodore P. Stank ◽  
Patricia J. Daugherty ◽  
Alexander E. Ellinger
Keyword(s):  
Conceptual Model ◽  
Information Exchange ◽  
Third Party ◽  
Third Party Logistics ◽  
Performance Information ◽  
Provider Performance ◽  
Logistics Services ◽  
Trading Partners ◽  
And Performance ◽  
The Impact

The impact of information exchange on suppliers' performance is investigated in the context of trade relationships formed between manufacturers and third party providers of international logistics services. A conceptual model that predicts the important linkages among information exchange, responsiveness and performance is introduced and tested. The research shows that information exchange positively affects customers' perceptions of third party logistics providers' performance; information exchange also positively affects logistics providers' service responsiveness; and logistics provider responsiveness affects customers' perceptions of the providers' performance. These linkages provide a fuller understanding of why and how information exchange influences manufacturers' perceptions of the performance of third party logistics providers. Logistics providers that used information obtained from trading partners to develop more responsive operations were viewed as better performers.

scholarly journals ASSESSMENT OF THIRD-PARTY LOGISTICS PROVIDERS USING A CRITIC–WASPAS APPROACH WITH INTERVAL TYPE-2 FUZZY SETS

Transport ◽  
2017 ◽  
Vol 32 (1) ◽  
pp. 66-78 ◽  
Author(s):  
Mehdi Keshavarz Ghorabaee ◽  
Maghsoud Amiri ◽  
Edmundas Kazimieras Zavadskas ◽  
Jurgita Antuchevičienė
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Capital Expenditure ◽  
Computational Study ◽  
Third Party ◽  
Service Improvement ◽  
Third Party Logistics ◽  
The Stability ◽  
Interval Type

The assessment of Third-Party Logistics (3PL) provider becomes an important issue for enterprises trying to achieve operational efficiency and customer service improvement as well as capital expenditure and logistics costs reduction. It can be said that evaluation and selection of an appropriate 3PL provider is a kind of Multi-Criteria Decision-Making (MCDM) problem. Uncertainty is an unavoidable part of information in the decision-making process. Interval Type-2 Fuzzy Sets (IT2FSs) are very flexible to model the uncertainty of the MCDM problems. In this study, a new integrated approach based on the criteria Importance Through Inter-criteria Correlation (CRITIC) and Weighted Aggregated Sum Product assessment (WASPAS) methods is proposed to evaluate 3PL providers with IT2FSs. In the proposed approach, objective weights resulted from the CRITIC method are combined with subjective weights expressed by decision-makers (dms) to determine more realistic weights for criteria. A computational study is performed to illustrate the proposed approach and the applicability of it. In addition, a sensitivity analysis is carried out using different sets of criteria weights to demonstrate the stability of the proposed approach. The results show the stability of ranking results and prove the efficiency of the proposed approach to handle MCDM problems with IT2FSs.

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