scholarly journals Z-MABAC Method for the Selection of Third-Party Logistics Suppliers in Fuzzy Environment

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 199111-199119
Author(s):  
Jianping Fan ◽  
Runan Guan ◽  
Meiqin Wu
Keyword(s):  
Third Party ◽  
Third Party Logistics ◽  
Fuzzy Environment ◽  
Selection Of

Appraisement and selection of third party logistics service providers in fuzzy environment

2013 ◽  
Vol 20 (4) ◽  
pp. 537-548 ◽  
Author(s):  
Saurav Datta ◽  
Chitrasen Samantra ◽  
Siba Sankar Mahapatra ◽  
Goutam Mandal ◽  
Gautam Majumdar
Keyword(s):  
Service Providers ◽  
Third Party ◽  
Third Party Logistics ◽  
Logistics Service ◽  
Fuzzy Environment ◽  
Logistics Service Providers ◽  
Selection Of

scholarly journals Evaluation and Selection of Nigerian Third-Party Logistics Service Providers Using Multi-Criteria Decision Models

2021 ◽  
Vol 12 (1) ◽  
pp. 135-146
Author(s):  
E.A. Ejem ◽  
C.M. Uka ◽  
D.N. Dike ◽  
C.C. Ikeogu ◽  
C.C. Igboanusi ◽  
...  
Keyword(s):  
Service Providers ◽  
Service Level ◽  
Decision Makers ◽  
Third Party ◽  
Decision Models ◽  
Third Party Logistics ◽  
Logistics Service ◽  
Logistics Service Providers ◽  
Selection Of

Abstract This paper is focused on solving the evaluation and selection of 3PL’s by applying multi-criteria decision-making methods. Nigerian Breweries, Nigerian Bottling Company (NBC), AG Leventis, Kobo logistics, and Flour Mills of Nigeria (FMN) were understudied. The main criteria on which evaluation is based were established: Cost, Service level, Financial Capability, Reputation and Long-term relationship. A combination of two quantitative models was adopted in the study. Relevant data were collected through an oral interview with managers and key decision-makers at the companies. SWARA was first applied to the collated data to determine the relative weights of the criteria. Afterwards, the TOPSIS was applied to the weights developed using SWARA and on the performance of the selected service providers. After the analysis, the best service provider was identified as supplier 2 while the worst was supplier 5.

Prioritising the Factors for Analysing Service Quality of 3PL: AHP Approach

2017 ◽  
Vol 13 (1-2) ◽  
pp. 34-42 ◽  
Author(s):  
Anchal Gupta ◽  
Rajesh K. Singh ◽  
P.K. Suri
Keyword(s):  
Supply Chain ◽  
Service Quality ◽  
Third Party ◽  
Quality Of Services ◽  
Third Party Logistics ◽  
Analytical Hierarchical Process ◽  
Evaluation Of Parameters ◽  
Timely Delivery ◽  
Selection Of

Due to wide growth of digitalisation and globalisation, organisations need to serve customer demand with quality services, domestically as well as globally. Organisations always preferred to outsource their supply chain and logistics operations to third-party logistics (3PL) for the purpose of timely delivery and better service quality. This article aimed to find out the key parameters that affect the quality of services provided by 3PL to the organisations. Assets, processes and services are the three broader categories desired by organisations at the time of selection of best 3PL. The evaluation of parameters under these categories has been done by using Analytical Hierarchical Process (AHP) and the ranking of parameters may help the organisations to make the best decision regarding selection of best 3PL among all the available alternatives.

Optimal selection of third-party logistics service providers using quality function deployment and Taguchi loss function

2015 ◽  
Vol 22 (7) ◽  
pp. 1281-1300 ◽  
Author(s):  
Satyendra Kumar Sharma ◽  
Vinod Kumar
Keyword(s):  
Loss Function ◽  
Quality Function Deployment ◽  
Third Party ◽  
Third Party Logistics ◽  
Taguchi Loss Function ◽  
Quality Function ◽  
Content Type ◽  
Logistics Service ◽  
Proposed Model ◽  
Selection Of

Purpose – Selection of logistics service provider (LSP) (also known as Third-party logistics (3PL) is a critical decision, because logistics affects top and bottom line as well. Companies consider logistics as a cost driver and at the time of LSP selection decision, many important decision criteria’s are left out. 3PL selection is multi-criteria decision-making process. The purpose of this paper is to develop an integrated approach, combining quality function deployment (QFD), and Taguchi loss function (TLF) to select optimal 3PL. Design/methodology/approach – Multiple criteria are derived from the company requirements using house of quality. The 3PL service attributes are developed using QFD and the relative importance of the attributes are assessed. TLFs are used to measure performance of each 3PL on each decision variable. Composite weighted loss scores are used to rank 3PLs. Findings – QFD is a better tool which connects attributes used in a decision problem to decision maker’s requirements. In total, 15 criteria were used and TLF provides performance on these criteria. Practical implications – The proposed model provides a methodology to make informed decision related to 3PL selection. The proposed model may be converted into decision support system. Originality/value – Proposed approach in this paper is a novel approach that connects the 3PL selection problem to practice in terms of identifying criteria’s and provides a single numerical value in terms of Taghui loss.

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