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.

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.

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 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.

scholarly journals Framework built on resource based view for outsourcing strategy on hiring logistics service provider

2018 ◽  
Vol 25 (3) ◽  
pp. 458-484 ◽  
Author(s):  
Geraldo Cardoso de Oliveira Neto ◽  
Moacir Godinho Filho ◽  
Marilson Alves Gonçalves ◽  
Benny Kramer Costa ◽  
Dirceu da Silva ◽  
...  
Keyword(s):  
Supply Chain ◽  
Service Provider ◽  
Theoretical Study ◽  
Resource Based View ◽  
Chain Management ◽  
Logistics Service ◽  
Logistics Service Provider ◽  
Outsourcing Logistics ◽  
Selection Of ◽  
Operational Structure

Abstract The process of Outsourcing Logistics Service (OLS) is deemed incipient in the management of organizations, not only because of the operational problems it presents, but also of its difficulties fitting into the company’s overall strategy. The present theoretical study, building on the resource-based view of the firm, aims to propose a framework that guides managers in developing strategies to OLS starting from the operational structure to establish the necessary resources, capabilities, and routines. In addition, taken into account is the importance of analyzing risks and resilience in the environment, concomitantly with the analysis of the operational structure. Thus, four questions were developed, aimed at leading operations managers to reflect on the development of the strategy. The framework proposed for OLS considers the supply chain management department as the main interlocutor of the strategy. This framework can be adapted according with the necessity of the contracting company, and its main intention is to enable the establishment of a project that contemplates the necessary resources, the capabilities (criteria), and the operational routines (subcriteria) for the selection of a logistics service provider in the market, one which truly addresses the needs of the organization. This framework is already intrinsic in the practical actions of the authors, because of their extensive advisory activity over the last five years in OLS to logistics service provider. In addition, it is worth mentioning that so far in the tacit applications of this framework there has been no application similar to another.

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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