scholarly journals Logistics Service Provider Selection through an Integrated Fuzzy Multicriteria Decision Making Approach

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Gülşen Akman ◽  
Kasım Baynal
Keyword(s):  
Customer Service ◽  
Service Provider ◽  
Service Providers ◽  
Evaluation Criteria ◽  
Multicriteria Decision Making ◽  
Third Party ◽  
Analytic Hierarchy ◽  
Logistics Service ◽  
Logistics Service Provider ◽  
Order Preference

Nowadays, the demand of third-party logistics provider becomes an increasingly important issue for companies to improve their customer service and to decrease logistics costs. This paper presents an integrated fuzzy approach for the evaluation and selection of 3rd party logistics service providers. This method consists of two techniques: (1) use fuzzy analytic hierarchy process to identify weights of evaluation criteria; (2) apply fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method to evaluate and sequence alternatives and to make the final selection. Finally, an actual industrial application is performed in logistics department of a tire manufacturing company. For this, first, eight logistics supplier selection criteria were determined, and then the best alternative among seven logistics service provider companies was selected by the proposed method.

An Integrated Rough Model for Third Party Logistics Service Provider Selection

2020 ◽  
pp. 91-106
Author(s):  
Alptekin Ulutas
Keyword(s):  
Service Provider ◽  
Service Providers ◽  
Core Competencies ◽  
Third Party ◽  
Third Party Logistics ◽  
Logistics Service ◽  
Logistics Service Providers ◽  
Logistics Service Provider ◽  
Key Factor ◽  
Speed Up

Logistics is a key factor for companies to sustain their businesses, to gain the competitive advantage in the market, and to speed up the transportation process. Companies can perform their own logistic activities using their own core competencies; however, they can face huge logistics costs. To avoid these logistics operating costs, companies need to cooperate with third party logistics service providers (3PL) to perform logistics activities. This chapter proposes an integrated rough MCDM model including Rough SWARA and Rough COPRAS methods to identify the best 3PL for a Turkish textile company. These two rough methods were not previously utilized in solving any decision-making problems in the extant literature. Thus, the contribution of this study is to develop a new rough integrated model to solve the 3PL service provider selection problem.

An Integrated Approach of Fuzzy AHP and Fuzzy TOPSIS to Select Logistics Service Provider

2016 ◽  
Vol 16 (1) ◽  
pp. 51-59 ◽  
Author(s):  
Ponnuboina Kishore ◽  
G. Padmanabhan
Keyword(s):  
Service Provider ◽  
Service Providers ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Third Party ◽  
Manufacturing Companies ◽  
Logistics Service ◽  
Logistics Service Provider ◽  
Outsourcing Logistics ◽  
Number Of Customers

AbstractIn India, Manufacturing companies are primarily being concentrated on the production activities which led to drastic improvement of outsourcing logistics process to third party logistics (3PLS), consequently a strong outsourcing logistics can be observed over the next two decades for the development of a company. It may therefore be noted that the enhancement and extrusion are necessary in order to effectively asses risk and opportunities. To achieve this, the best logistics service provider which leads to the growth of organisation and industry has to be selected. The present work aims at the integration of Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in Fuzzy environment. The integration is carried out with more consistency while evaluating and selecting the best Logistics service provider based on ten coordination criteria viz. Custom Clearance, On Time Delivery, Number of Customers Handled, Placement Percentage, Tracking Status, Service Quality, Solving of Issues, Collecting Proof of Delivery, Region and Price. Fuzzy AHP is used to calculate relative weights of each coordination criterion. Logistics service providers are ranked based on closeness coefficient, calculated for each LSP using Fuzzy TOPSIS. By this method the LSP5 has selected as best logistic service provider among the seven LSP for battery manufacturing company.

scholarly journals WeIghtIng the factors affectıng logıstıcs outsourcıng

2021 ◽  
Vol 4 (1) ◽  
pp. 19-33
Author(s):  
Çağlar Karamaşa ◽  
◽  
Ezgi Demir ◽  
Salih Memiş ◽  
Selçuk Korucuk ◽  
...  
Keyword(s):  
Service Provider ◽  
Service Providers ◽  
Global Market ◽  
Third Party ◽  
Logistics Outsourcing ◽  
Factors Affecting ◽  
Logistics Service ◽  
Logistics Service Provider ◽  
The Right

Today, growing and changing competitive conditions, products, and services, free movement of labor, and businesses with the information they develop strategies that create value to obtain a competitive advantage. Now, final buyers have the convenience of purchasing the products they demand with the features and conditions they want and at the price they accept. In such an environment, businesses use their supply chain and logistics activities more effectively and efficiently than their competitors. Today, achieving a strategic superiority in a global market where the content and quality of the products are the same is only possible by delivering the desired products to the customer at the desired price, at the desired time, in the desired amount, through the right channel, as quickly as possible and without any damage. In such a situation, the desire to focus on the main activities of the enterprises, the need for effective logistics operations, etc. logistics outsourcing has increased rapidly for reasons. Businesses can carry out logistics activities requiring expertise thanks to third party logistics (3PL) service providers in the field such as transportation, storage, customs clearance, without investing in logistics. For logistics outsourcing to be beneficial, a correct logistics service provider must be selected under the needs of the business. Selecting the right logistics service provider is important in increasing the benefit of outsourcing. In this study neutrosophic AHP was used to prioritize the factors.

scholarly journals Selection of Logistics Service Provider for the E-Commerce Companies in Pakistan Based on Integrated GRA-TOPSIS Approach

Axioms ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 208
Author(s):  
Muhammad Hamza Naseem ◽  
Jiaqi Yang ◽  
Ziquan Xiang
Keyword(s):  
Service Provider ◽  
Third Party ◽  
Success Factor ◽  
Third Party Logistics ◽  
The Third Party Logistics ◽  
Logistics Service ◽  
Logistics Service Provider ◽  
Order Preference ◽  
Product Delivery ◽  
Topsis Approach

Recently, the demand for third-party logistics providers has become extremely relevant and the key subject for businesses to enhance their service quality and minimize logistics costs. The key success factor for an e-commerce business is product delivery, and the third-party logistics service provider is responsible for that. Each 3PLP has its own business characteristics, meaning it is important to select the most suitable logistics provider for the e-commerce business. This study uses a combination of grey relational analysis (GRA) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, assisting decision makers in choosing the best logistics service provider for their e-business. A case study of an e-commerce company based in Faisalabad, Pakistan, was selected to demonstrate the steps of the proposed methods. In this process, seven criteria of logistics suppliers were considered, and then the best alternatives among four logistics provider companies were selected using the proposed method.

scholarly journals Green Medical Reserve Logistics Provider Selection Using DEMATEL Method

2020 ◽  
pp. 13-20
Author(s):  
Shih-Ming Ou
Keyword(s):  
Service Provider ◽  
Reverse Logistics ◽  
Service Providers ◽  
Critical Issue ◽  
Factors Affecting ◽  
Logistics Service ◽  
Logistics Service Provider ◽  
Process Operation ◽  
Total Influence ◽  
Selection Of

Compared with general commercial reverse logistics operators, the recovery and treatment of expired drugs and medical waste is a complex and highly technically difficult project. The qualifications required by the relevant service providers are also more stringent. For medical institutions, the selection of reverse logistics operators is always a critical issue. On the perspective of sustainability, this paper aims to investigate and explore the critical factors of selecting a medical reverse logistics service provider. Through the process of the Delphi method, the experts’ assessments were collected, and 24 factors affecting the selection of medical reverse logistics service provider were screened and summarized. Then, Decision-Making Trial and Evaluation Laboratory (DEMATEL) was employed to calculate the total influence values and net influence values between factors that could be used to draw the visual causal map. Referring the causal map, “Green process operation level” and “Recycling process greening degree” are significantly higher than other factors in terms of total influence value and net influence value. Therefore, they can be regarded as crucial factors. This finding implies that medical reverse logistics providers must have the ability to improve the greening of facilities, as well as equipment, integrating existing processes to make it greener and environmentally friendly.

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