Cargo type selection procedure using fuzzy AHP and fuzzy TOPSIS techniques: 'the case of dry bulk cargo ships'

In the past few years, reverse logistics practices have successfully managed to gain more attention in various industries and among supply chain researchers and experts. This is due to globalization, environmental concerns, and customer requirements, which have asserted industries’ concerns for reverse logistics management. In E-commerce, the process of reverse logistics originates with parcel refusal, undelivered goods, and exchanges. In developing countries like Pakistan, the adoption and implications of reverse logistics are still at their early stages. E-commerce companies give more attention to forward logistics and ignore logistics’ upstream flow in the supply chain. This study aims to identify, as well as list, the barriers and obtain the solutions to those identified barriers, and rank the barriers and their solutions so that logisticians and experts can solve them as per their priority. From the extensive literature review and experts’ opinions, we have found 14 barriers in implementing effective reverse logistics. Eight solutions to those barriers were also found from the literature review. This paper proposed the methodology based on fuzzy analytical hierarchy process (fuzzy-AHP), which used to get the weights of each barrier by using pairwise comparison, and fuzzy technique for order performance by similarity to ideal solution (fuzzy-TOPSIS) method, which was adopted for the final ranking of solutions to reverse logistics. The case of the Pakistan E-commerce industry is used in the proposed method.

Download Full-text

A COMBINED FUZZY MCDM APPROACH FOR IDENTIFYING THE SUITABLE LANDS FOR URBAN DEVELOPMENT: AN EXAMPLE FROM BANDAR ABBAS, IRAN

Journal of Urban and Environmental Engineering ◽

10.4090/juee.2014.v8n1.011027 ◽

2014 ◽

pp. 11-27 ◽

Cited By ~ 4

Author(s):

Mohsen Dadras ◽

Helmi Zulhaidi Mohd Shafri ◽

Noordin Ahmad ◽

Biswajeet Pradhan ◽

Sahabeh Safarpour

Keyword(s):

Urban Development ◽

Iraq War ◽

Fuzzy Ahp ◽

Fuzzy Topsis ◽

Analytic Hierarchy ◽

The Past ◽

Criteria Weights ◽

Bandar Abbas ◽

Hierarchy Process ◽

The City

This study aims at identifying the suitable lands for urban development in Bandar Abbas city based on its real world use regarding specific criteria and sub-criteria. The city of Bandar Abbas is considered as the most important commercial and economic city of Iran. It is also considered as one of the major cities of Iran which has played a pivotal role in the country's development and progress in recent years especially after the end of Iran-Iraq war owing to its embracing the country's main commercial ports. This process has caused the immigration rate into the city to rise significantly over the past 20 years. Thus, the development of the city is meanwhile considered as a high priority. Bandar Abbas city does not have a rich capacity for growth and development due to its special geographical situation being located in coastal border. Among the limitations placed in the city's development way, natural limitations (heights and sea shore) in the northern and southern parts of the city and structural limitations (military centers) in the east and west sides of the city may be referred. Therefore, identifying the suitable lands for urban development within Bandar Abbas city limits is becoming an essential priority. Therefore, different quantitative and qualitative criteria have been studied in order to select and identify these lands. The structures of qualitative criteria for most parts involve ambiguities and vagueness. This leads us to use Fuzzy logic in this study as a natural method for determining the solutions for problems of Multi-criteria decision making (MCDM). In the current research, a combination of MCDM methods has been presented for analysis. To assignee weights of the criteria Fuzzy AHP (analytic hierarchy process) is used for land selection and Fuzzy TOPSIS (method for order priority by similarity to ideal solution) is utilized to choose the alternative that is the most appropriate through these criteria weights. The sensitivity analysis of the results is included in the research.

Download Full-text

Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP

Expert Systems with Applications ◽

10.1016/j.eswa.2011.06.044 ◽

2012 ◽

Vol 39 (1) ◽

pp. 61-67 ◽

Cited By ~ 288

Author(s):

Ahmet Can Kutlu ◽

Mehmet Ekmekçioğlu

Keyword(s):

Failure Modes ◽

Fuzzy Ahp ◽

Fuzzy Topsis

Download Full-text

Supplier Selection in a Construction Company Using Fuzzy AHP and Fuzzy TOPSIS

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-030-23756-1_60 ◽

2019 ◽

pp. 481-487

Author(s):

Ayse Nur Karabayir ◽

Ahmet Reha Botsali ◽

Yildiz Kose ◽

Emre Cevikcan

Keyword(s):

Supplier Selection ◽

Fuzzy Ahp ◽

Fuzzy Topsis ◽

Construction Company

Download Full-text

Shipyard location selection based on fuzzy AHP and TOPSIS

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-200522 ◽

2020 ◽

Vol 39 (3) ◽

pp. 4557-4576

Author(s):

Abdullah Türk ◽

Murat Özkök

Keyword(s):

Fuzzy Ahp ◽

Fuzzy Topsis ◽

Complex Problem ◽

Location Selection ◽

Qualitative And Quantitative ◽

Uncertain Structure ◽

Multi Attribute Decision Making ◽

Hierarchy Process ◽

Critical Process

The shipyard facility location selection (FLS) decision is a critical process that involves conflicting, qualitative, and quantitative criteria. Multi-Attribute Decision Making (MADM) methods are used as a powerful tool to overcome this complex problem. Today, using these methods in an integrated way, more accurate, efficient, and systematic results are obtained in solving complex issues such as FLS, which contains an uncertain structure. This paper proposes a framework for the weighting of criteria and ranking potential feasible locations (alternatives) using the combination of fuzzy analytical hierarchy process (AHP) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) methods. While fuzzy AHP determines the importance values of the criteria by pairwise comparisons, fuzzy TOPSIS prioritizes the alternatives using the relative weights obtained with Fuzzy AHP. The integration of these two techniques provides a robust approach considering the results obtained for the shipyard FLS decision. The applicability of the proposed method is expressed in Turkey by a case study of the shipyard FLS decision.

Download Full-text