scholarly journals A Hybrid MCDM Approach in Third-Party Logistics (3PL) Provider Selection

Mathematics ◽  
2021 ◽  
Vol 9 (21) ◽  
pp. 2729
Author(s):  
Stefan Jovčić ◽  
Petr Průša

Third-party logistics (3PL) is becoming more and more popular because of globalization, e-commerce development, and increasing customer demand. More and more companies are trying to move away from their own account transportation to third-party accounts. One reason for using 3PLs is that the company can focus more on its core activities, while the 3PL service provider can provide distribution activities in a more professional way, save costs and time, and increase the level of customer satisfaction. An emerging issue for companies in the logistics industry is how they can decide on the 3PL evaluation and selection process for outsourcing activities. For the first time, the entropy and the criteria importance through intercriteria correlation (CRITIC) methods were coupled in order to obtain hybrid criteria weights that are of huge importance to decide on the 3PL provider evaluation and selection process. The obtained criteria weights were further utilized within the additive ratio assessment (ARAS) method to rank the alternatives from the best to the worst. The introduced hybrid–ARAS approach can be highly beneficial, since combining two methods gives more robust solutions on one hand, while on the other hand eliminating subjectivity. Comparative and sensitivity analyses showed the high reliability of the proposed hybrid–ARAS method. A hypothetical case study is presented to illustrate the potentials and applicability of the hybrid–ARAS method. The results showed that 3PL-2 was the best possible solution for our case.

2019 ◽  
Vol 1 (1) ◽  
pp. 55-62
Author(s):  
Marta Kadłubek

Abstract The area of quality management is sometimes dedicated to be included in the research into the supply chain in relation to the exploration of problems of the efficiency of the supply chain. In the subject literature, there are numerous indications taking into account complex relations in the supply chain and identifying quality aspects by maximizing the phenomenon of synergy in the supply chain. In accordance with these implications, an attempt has been made to analyze the area of quality management in the area of the supply chain in the selected company, being the link of the supply chain. The obtained research results have been partially presented in this paper. The objective of the paper is to present the results of the research into selected areas of quality management of the supply chain in the company of the transport-forwarding-logistics industry. The empirical research was conducted through the survey questionnaire the objective of which was to obtain the opinions on the key aspects of quality management of the supply chain. The recipients of the questionnaire were 263 employees of the international logistic operator with branches, among others, in the Silesian Voivodeship, Poland.


2021 ◽  
Vol 11 (11) ◽  
pp. 5107
Author(s):  
Miguel Ortíz-Barrios ◽  
Antonella Petrillo ◽  
Fabio De Felice ◽  
Natalia Jaramillo-Rueda ◽  
Genett Jiménez-Delgado ◽  
...  

Scheduling flexible job-shop systems (FJSS) has become a major challenge for different smart factories due to the high complexity involved in NP-hard problems and the constant need to satisfy customers in real time. A key aspect to be addressed in this particular aim is the adoption of a multi-criteria approach incorporating the current dynamics of smart FJSS. Thus, this paper proposes an integrated and enhanced method of a dispatching algorithm based on fuzzy AHP (FAHP) and TOPSIS. Initially, the two first steps of the dispatching algorithm (identification of eligible operations and machine selection) were implemented. The FAHP and TOPSIS methods were then integrated to underpin the multi-criteria operation selection process. In particular, FAHP was used to calculate the criteria weights under uncertainty, and TOPSIS was later applied to rank the eligible operations. As the fourth step of dispatching the algorithm, the operation with the highest priority was scheduled together with its initial and final time. A case study from the smart apparel industry was employed to validate the effectiveness of the proposed approach. The results evidenced that our approach outperformed the current company’s scheduling method by a median lateness of 3.86 days while prioritizing high-throughput products for earlier delivery.


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