scholarly journals Evaluation of a Third-Party Logistics (3PL) Provider Using a Rough SWARA–WASPAS Model Based on a New Rough Dombi Agregator

Symmetry ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 305 ◽  
Author(s):  
Siniša Sremac ◽  
Željko Stević ◽  
Dragan Pamučar ◽  
Miloš Arsić ◽  
Bojan Matić
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Third Party ◽  
Third Party Logistics ◽  
Dangerous Goods ◽  
Supply Chain Logistics ◽  
Transport Services ◽  
Simple Additive Weighting ◽  
Transport Of Dangerous Goods ◽  
Topsis Technique

For companies active in various sectors, the implementation of transport services and other logistics activities has become one of the key factors of efficiency in the total supply chain. Logistics outsourcing is becoming more and more important, and there is an increasing number of third party logistics providers. In this paper, logistics providers were evaluated using the Rough SWARA (Step-Wise Weight Assessment Ratio Analysis) and Rough WASPAS (Weighted Aggregated Sum Product Assessment) models. The significance of the eight criteria on the basis of which evaluation was carried out was determined using the Rough SWARA method. In order to allow for a more precise consensus in group decision-making, the Rough Dombi aggregator was developed in order to determine the initial rough matrix of multi-criteria decision-making. A total of 10 logistics providers dealing with the transport of dangerous goods for chemical industry companies were evaluated using the Rough WASPAS approach. The obtained results demonstrate that the first logistics provider is also the best one, a conclusion confirmed by a sensitivity analysis comprised of three parts. In the first part, parameter ρ was altered through 10 scenarios in which only alternatives four and five change their ranks. In the second part of the sensitivity analysis, a calculation was performed using the following approaches: Rough SAW (Simple Additive Weighting), Rough EDAS (Evaluation Based on Distance from Average Solution), Rough MABAC (MultiAttributive Border Approximation Area Comparison), and Rough TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution). They showed a high correlation of ranks determined by applying Spearman’s correlation coefficient in the third part of the sensitivity analysis.

scholarly journals Daugiatikslių sprendimo priėmimo metodų jautrumo analizė taikant Monte Karlo modeliavimą

2011 ◽  
Vol 56 ◽  
pp. 182-190 ◽  
Author(s):  
Rūta Simanavičienė ◽  
Leonas Ustinovičius
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Monte Carlo ◽  
Multicriteria Decision Making ◽  
Final Decision ◽  
Research Papers ◽  
Order Preference ◽  
Multicriteria Decisions ◽  
Simple Additive Weighting ◽  
Topsis Technique

Daugiakriteriams sprendimo priėmimo uždaviniams spręsti taikant kiekybinius daugiatikslius sprendimo priėmimo metodus, dažniausiai neatsižvelgiama į galimas pradinių duomenų – rodiklių reikšmių paklaidas. Todėl neaišku, ar gautas sprendimas (alternatyvų išrikiavimas pagal racionalumą) nesikeis, jeigu keistųsi rodiklių reikšmės (± n %, n< 50 %). Šiame straipsnyje, taikant Monte Karlo modeliavimą, atliekama kiekybinių daugiatikslių sprendimo priėmimo metodų – TOPISIS, SAW ir COPRAS – jautrumo analizė. Jautrumo analizės pagrindas yra rodiklių reikšmių pasiskirstymas. Darbo tikslas – sukurti jautrumo analizės modelį, kuriuo būtų galima nustatyti daugiatikslių metodų jautrumą rodiklių reikšmių pasiskirstymo dėsnio atžvilgiu ir įvertinti šiais metodais gauto sprendimo patikimumą. Pateikto jautrumo analizės modelio etapai: 1) rodiklių pseudoatsitiktinių reikšmių generavimas pagal tolygųjį ir normalųjį dėsnius; 2) alternatyvų racionalumų vertinimas nagrinėjamais metodais, naudojant generuotas sprendimų matricas; 3) metodų jautrumo ir gauto sprendimo patikimumo vertinimas. Modeliuojant sprendimo paramos sistemas, atliekant skaičiavimus sprendimo priėmimo metodais, rekomenduojama atsižvelgti į planuojamų taikyti metodų jautrumą, kad padidėtų sprendimo patikimumas.The Sensitivity Analysis of the Multiattribute Decision Making Methods by Monte Carlo SimulationRūta Simanavičienė, Leonas Ustinovičius SummaryThe quantitative multicriteria decision making methods are used for decision making, but the biases of the values of the attributes are ignored often. Therefore it is not clear, if the final decision were changed, when changing the values of attributes. There are scientific research papers intended for the sensitivity analysis of multicriteria decisions, according to the significances of attributes. This paper analyses the sensitivity of quantitative multiattribute decision making TOPSIS – Technique for Order Preference by Similarity to Ideal Solution, SAW – Simple Additive Weighting, COPRAS – COmplex PRoportional ASsessment methods, according to attribute distribution. On this basis of Monte Carlo modeling (simulation) the generation of pseudorandom attribute values is being made, according to uniform and normal distribution. Using generated data the efficiency of alternatives is carried out by the above methods. As a result the sensitivity of the methods and the reliability of final decision are presented. When multiattribute decision making methods are used on the modeling decision support systems it is recommended to consider the sensitivity of these methods.

Evaluation and selection of third-party logistics providers using an integrated multi-criteria decision making approach

2018 ◽  
Vol 29 (3) ◽  
pp. 373
Author(s):  
Sachin S. Kamble ◽  
Sheetal J. Kamble ◽  
Manoj G. Kharat ◽  
Rohan Desai ◽  
Rakesh D. Raut
Keyword(s):  
Decision Making ◽  
Third Party ◽  
Multi Criteria Decision Making ◽  
Third Party Logistics ◽  
Selection Of

scholarly journals Decision-making in a retailer-led closed-loop supply chain involving a third-party logistics provider

2017 ◽  
Vol 13 (5) ◽  
pp. 0-0
Author(s):  
Xiao-Xu Chen ◽  
◽  
Peng Xu ◽  
Jiao-Jiao Li ◽  
Thomas Walker ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Closed Loop ◽  
Third Party ◽  
Third Party Logistics ◽  
Closed Loop Supply Chain

scholarly journals Multi-Attribute Decision Making Based on Probabilistic Neutrosophic Hesitant Fuzzy Choquet Aggregation Operators

Symmetry ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 623 ◽  
Author(s):  
Songtao Shao ◽  
Xiaohong Zhang ◽  
Quan Zhao
Keyword(s):  
Decision Making ◽  
Aggregation Operators ◽  
Decision Makers ◽  
Third Party ◽  
Optimal Decision ◽  
Third Party Logistics ◽  
The Third Party Logistics ◽  
External Space ◽  
The Third ◽  
Multi Attribute Decision Making

Take the third-party logistics providers (3PLs) as an example, according to the characteristics of correlation between attributes in multi-attribute decision-making, two Choquet aggregation operators adoping probabilistic neutrosophic hesitation fuzzy elements (PNHFEs) are proposed to cope with the situations of correlation among criterions. This measure not only provides support for the correlation phenomenon between internal attributes, but also fully concerns the incidental uncertainty of the external space. Our goal is to make it easier for decision makers to cope with this uncertainty, thus we establish the notion of probabilistic neutrosophic hesitant fuzzy Choquet averaging (geometric) (PNHFCOA, PNHFCOG) operator. Based on this foundation, a method for aggregating decision makers’ information is proposed, and then the optimal decision scheme is obtained. Finally, an example of selecting optimal 3PL is given to demonstrate the objectivity of the above-mentioned standpoint.

Selection and Evaluation of 3PL Providers

2012 ◽  
pp. 1650-1665
Author(s):  
Christos Keramydas ◽  
Naoum Tsolakis ◽  
Anastasios Xanthopoulos ◽  
Dimitrios Aidonis
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Literature Review ◽  
Supply Chains ◽  
Methodological Approach ◽  
Third Party ◽  
Third Party Logistics ◽  
Methodological Framework ◽  
Evaluation Problem ◽  
Whole Life Cycle

As supply chains continue to globalize, the need for robust Third Party Logistics (3PL) provider qualification, selection, and evaluation programs becomes increasingly critical. In this context, this chapter aims to present a methodological approach for the optimization of this specific type of outsourcing operations in today’s globalized supply chains. More specifically, the authors first present an analytical literature review of the criteria and the methods that are employed in this field of decision-making, and then propose a generic methodological framework for the 3PL partner selection and evaluation problem. This framework is constituted by a nine-phased conceptual decision-making methodology that outlines the whole life cycle of the 3PL provider selection and continuous evaluation processes.

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