scholarly journals Vendor Rating Using Analytical Hierarchical Process - Insights from Indian Engineering Construction Industry

2018 ◽  
Vol 6 (02) ◽  
Author(s):  
Vani Haridasan ◽  
Sudharsan M
Keyword(s):  
Construction Industry ◽  
Selection Process ◽  
Complex Problem ◽  
Effluent Treatment ◽  
Rating System ◽  
Purchasing Management ◽  
Analytical Hierarchical Process ◽  
Engineering Construction ◽  
Qualitative And Quantitative ◽  
Vendor Rating

Vendor Evaluation and Selection is one of the most critical activities of purchasing management in supply chain. It is a complex problem involving qualitative and quantitative multi-criteria. A trade-off between these tangible and intangible factors is essential in selecting the best supplier. This paper aims to develop a vendor rating system for Engineering Construction Industry where there is a huge involvement in the purchases of Pipes (like Ductile Iron, Mild Steel, HDPE, RCC, PVC), Pumps, Electrical items (like Panels, PLC, Motors, Generators) and Mechanical items for Water & Effluent Treatment Projects. The conventional method is less accurate in ranking the vendors as a result of greater amount of subjectivity.This paper focuses on developing a Vendor Rating System using AHP methodology to choose the best suppliers in such a way to reduce the time taken for the selection process.

scholarly journals COMPARATIVE ASSESSMENT OF TRANSPORTATION SUSTAINABILITY RATING SYSTEMS

2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Oluwatobi Oluwalaiye ◽  
Mehmet E. Ozbek
Keyword(s):  
New York ◽  
Construction Industry ◽  
New York State ◽  
Triple Bottom Line ◽  
Third Party ◽  
Rating System ◽  
Rating Systems ◽  
Bottom Line ◽  
Environmental Aspect ◽  
Transportation Sustainability

The construction industry contributes a significant amount of greenhouse gas emissions to the environment. This highlights the need for this industry to implement sustainable practices to mitigate its negative effects. Sustainability in the construction industry involves considering project development in terms of economic, social, and environmental aspects (triple bottom line). In the transportation sector of the construction industry, several transportation sustainability rating systems (TSRS) have been developed to measure and promote sustainability. However, studies show that these TSRS have not been developed within a consistent “sustainability scope”. This raises the question of the consistency of these TSRS in measuring sustainability of transportation projects. This study assesses three prominent TSRS to determine how each measures sustainability with respect to the triple bottom line. The TSRS that are in the scope of this study are: (i) Envision-a third-party rating system, (ii) INVEST-a self-assessed rating and, (iii) GreenLITES-an in-house developed self-assessed rating system for the New York State DOT. Results show that while these three rating systems provide different levels of credits/points with respect to the triple bottom line, they all place the highest focus on the environmental aspect.

scholarly journals Selecting E-Mobility Transport Solutions for Mountain Rescue Operations

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6613
Author(s):  
Christian Wankmüller ◽  
Maximilian Kunovjanek ◽  
Robert Gennaro Sposato ◽  
Gerald Reiner
Keyword(s):  
Selection Process ◽  
Technology Selection ◽  
Operational Performance ◽  
Validity Study ◽  
Research Approach ◽  
Qualitative And Quantitative ◽  
Rescue Workers ◽  
Mountain Rescue ◽  
Best Worst Scaling ◽  
Study Results

This study introduces e-mobility for humanitarian purposes and presents the first investigation of innovative e-mobility transport solutions (e.g., e-bike, e-stretcher, and drone) for mountain rescue. In practice, it is largely unclear which e-mobility transport solutions might be suitable and what selection attributes are to be considered. The subsequent study supports the technology selection process by identifying and measuring relevant selection attributes to facilitate the adoption of e-mobility in this domain. For the purpose of this study, a multi-method research approach that combines qualitative and quantitative elements was applied. In the first step, results of a systematic search for attributes in literature were combined with inputs gained from unstructured expert interviews and discussions. The perceived importance of the identified selection attributes was then measured by analyzing survey data of 341 rescue workers using the best-worst scaling methodology. Finally, the results were reiterated in another expert discussion to assess their overall validity. Study results indicate that e-mobility transport solutions need to primarily enhance operational performance and support the safety of mountain rescue personnel. Surprisingly, economic and sustainability aspects are less of an issue in the process of technology selection.

Shipyard location selection based on fuzzy AHP and TOPSIS

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.

scholarly journals The impact of VAM on goodwill impairment —Based on civil engineering construction industry

2020 ◽  
Vol 198 ◽  
pp. 03033
Author(s):  
Ping Yi
Keyword(s):  
Construction Industry ◽  
Research Method ◽  
Civil Engineering ◽  
Listed Companies ◽  
Merger And Acquisition ◽  
Engineering Construction ◽  
Goodwill Impairment ◽  
Risk Warning ◽  
The Difference ◽  
The Impact

Based on the background of the Ministry of Finance’s concern about the issue of goodwill impairment and the frequent outbreak of goodwill impairment risk, this paper analyzes the difference in the proportion of goodwill impairment during the valuation adjustment mechanism ( VAM ) period and after the VAM period, with a view to providing theoretical and data reference suggestions for the standard-setters and regulators on preventing goodwill impairment risk and improving the relevant regime of VAM, and also providing theoretical support and risk warning for stakeholders in M&A. Combining the normative research method and the empirical research method, this paper takes the merger and acquisition event completed by the A-share listed companies of civil engineering construction industry in 2014-2016 as the initial sample, and studies the difference in the proportion of goodwill impairment during the VAM period and after the VAM period. The conclusion of this paper is: In the merger and acquisition transaction with VAM, the proportion of goodwill impairment of listed companies after the VAM period are greater than that of the VAM period.

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