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 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.

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 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 The brazilian logistics service provider on the internet

2020 ◽  
Vol 27 (4) ◽  
Author(s):  
Mauro Vivaldini ◽  
Silvio Roberto Ignácio Pires
Keyword(s):  
Supply Chains ◽  
Service Provider ◽  
Communication Channel ◽  
Service Providers ◽  
The Internet ◽  
Theoretical Discussion ◽  
Logistics Outsourcing ◽  
Logistics Service ◽  
Logistics Service Providers ◽  
Logistics Service Provider

Abstract: The attention of Logistics Service Providers (LSPs) to market movements and trends is fundamental to winning accounts, as well as avoiding problems and keeping customer companies. In this context, the primary purpose of this article was to identify, characterize and analyse the types of logistics outsourcing in Brazil, to evaluate the LSPs concerning the capacity of integration in the supply chains (SC), through the positioning and offer of services that they adopt on their websites. Therefore, the theoretical discussion pointed out the importance of websites for organizations, considering the company's website as an essential communication channel. The study researched 154 websites of these providers in Brazil aiming to understand if the attributes and competencies disclosed are aligned with the theory. The results show that the majority (59%) of LSPs in Brazil are unable to articulate and present their skills in the same way that they are discussed in theory.

scholarly journals Evaluation of Transport Processes Quality with Servqual and TUL Methods

2018 ◽  
Vol 9 (2) ◽  
pp. 61-72
Author(s):  
Aleksander Sładkowski ◽  
Maria Cieśla ◽  
Bartosz Krupa
Keyword(s):  
Service Provider ◽  
Transport Process ◽  
Transport Processes ◽  
Quality Of Services ◽  
Quality Level ◽  
Comparison Of Methods ◽  
Logistics Service ◽  
Scientific Goal ◽  
Logistics Service Provider

Abstract The theoretical part of this article presents knowledge of selected methods used to study the quality level of basic processes. Authors paid particular attention to the Servqual method, which shows the differences that exist between the perceived and delivered quality of services provided by enterprises and the TUL method. The research part will show the Servqual and TUL analysis based on the processes of the existing transport company. The article is based on well-known methodology of Servqual and TUL analysis, which was adjusted to observation of transport processes of logistics service provider. The main scientific goal of the paper was to examine the effectiveness of the methodology used on the example of a transport company and comparison of methods utility. The improvement of the transport process will increase the level of customer satisfaction, and this is the first step to increase the number of transport orders received.

Measuring Performance of Logistics Outsourcing Services

2013 ◽  
pp. 344-358
Author(s):  
Harlina Suzana Jaafar ◽  
Mohammed Rafiq
Keyword(s):  
Organizational Performance ◽  
Process Model ◽  
Service Providers ◽  
Logistics Outsourcing ◽  
Logistics Service ◽  
Logistics Service Providers ◽  
Logistics Services ◽  
Great Pressure ◽  
The Uk

As the business competition is becoming more intense, there has been a great pressure to the logistics service providers to demonstrate its contribution to the organizational performance. Consequently, there has been a tendency of studies focusing at measuring the logistics service performance within various perspectives. This chapter provides a review on several significant studies that measures the performance of logistics services followed by presenting an empirical study on measuring logistics performance as perceived by the customers in the UK context. The empirical results confirms the relationships and consequent effects of LSQ-satisfaction, relationship quality, and customer loyalty-by providing a process model that shows the process of how customers would stay loyal in the logistics outsourcing business relationships by using exit intention as the output variable. The model in this study can greatly assist the logistics outsourcing companies in measuring the performance of their services. It helps the logistics companies understand how their customers measure the quality of their relationship experiences in receiving the logistics services provided by the logistics companies.

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