Vinod Yadav

An application of hybrid data envelopment analytical hierarchy process approach for supplier selection

Purpose – The problem of supplier selection gets complicated when a company looks for various criteria to evaluate different suppliers. The decision criteria used for supplier selection process can be different for different organizations due to a large number of factors. Hence, it can be said that supplier selection is basically, a multiple criteria decision-making (MCDM) problem. The purpose of this paper is to propose a hybrid data envelopment analytical hierarchy process (DEAHP) approach to solve the supplier selection problem for an automobile company. Design/methodology/approach – In this study, the data envelopment analysis (DEA) approach is embedded into analytic hierarchy process (AHP) methodology. Literature review suggested that majority of researches found it appropriate using DEA and AHP methodologies for supplier selection process; hence it is felt that a hybrid DEAHP would be a useful methodology to offer a MCDM model for supplier selection problem. Findings – First, the key criteria of the...

Multi-criteria decision making for supplier selection using fuzzy AHP approach

Purpose – The purpose of this paper is to propose a multi-criteria supplier selection model using fuzzy analytical hierarchy process (FAHP) approach for a leading automobile company in India. Design/methodology/approach – FAHP approach followed by a sensitivity analysis has been used. Findings – In this study, a FAHP-based supplier selection model is proposed to provide useful insights in choosing appropriate suppliers in dynamic situations in order to enhance long-term relationship with them. Practical implications – This study proposes a supplier selection model for an automobile industry which often faces heterogeneous supply environments. This model may have a high acceptability where a large number of suppliers are available to supply the materials or provide the services. As analytic hierarchy process is the most widely used methodology for supplier selection, however, it becomes less efficient in case of inconsistencies observed in the data. However a FAHP-based approach may overcome this difficult...

Multi-criteria supplier selection model using the analytic hierarchy process approach

Purpose – The purpose of this paper is to propose a supplier selection model for an automobile company using analytic hierarchy process (AHP) approach. Supplier selection is now growing to be an important but complex issue, as it involves a large number of factors and decisions. These factors have complicated operational and financial implications. Design/methodology/approach – A case study of an Indian automobile company is used to illustrate and propose a supplier selection model using AHP approach. Findings – Key criteria of the supplier selection problem are identified based on the literature review and case study. Then, a model is proposed for supplier selection using AHP approach followed by a detailed sensitivity analysis. Practical implications – This paper contributes to supplier selection process, and points out the importance of supplier selection. It proposes a supplier selection model for an automobile industry which often faces heterogeneous supply environments. The proposed model provides key criteria for supplier selection in Indian context. This model may have high acceptability, where a large number of suppliers are available to supply the materials or provide the services. Originality/value – The proposed model can provide guidelines and directions for managers involved in purchasing function to effectively select suppliers on the basis of the identified criteria in the heterogeneous manufacturing environment.

Performance analysis and exhaust emissions of neem methyl ester operated compression ignition engine

Neem oil methyl ester (NOME) was prepared from neem oil using alkaline catalyzed transesterification. The important fuel properties of NOME, 20% blend of NOME with diesel, were compared with those of diesel. Optimum injection pressures were determined for neat diesel and NOME-20 blend. Comparison of brake specific fuel consumption (BSFC), brake thermal efficiency (BTE), exhaust gas temperature (EGT), and smoke density was done for diesel and NOME-20 blend at their respective optimum injection pressure. Higher BSFC, a slight decrease in BTE, and a sharp decrease in EGT and smoke density were recorded with NOME-20 blend. Emissions with NOME-20 blend were also compared with diesel emissions at their respective optimum injection pressures. Significant reductions in carbon monoxide, hydrocarbon, and oxides of nitrogen and increase in carbon-di-oxide were observed with NOME-20 blend. Hence, neem biodiesel has an environmental importance over diesel and shows a promising future.

Intelligent evaluation of suppliers using extent fuzzy TOPSIS method: A case study of an Indian manufacturing SME

In a developing economy like India, the contribution of small- and medium-sized enterprises (SMEs) to the national gross domestic product is significant. This sector creates immense employment opportunities and produces economic products and services. To survive in the globalized marked condition, it is essential for SMEs to be competitive on several fronts such as quality, cost, delivery, lead time, flexibility, etc. Hence, it is imperative for them to have a sound supplier base. Therefore, supplier selection problem (SSP) has a vital role to play in supply chain management of SMEs. The paper aims to discuss these issues.,However, SSP has now become a significant challenge to address due to the complexity, vagueness and various criteria involved in it. Recently, fuzzy Technique for Order Performance by Similarity to Ideal Solution method has been widely used to tackle such problems.,The present paper aims at developing an intelligent system for SSP, which can consider the multiple criteria and the uncertainty aspects in the decision process. A case study of a small-scale manufacturing company has been presented.,This study provides a guideline for SME sector to implement intelligent systems for supplier selection decision-making problems. Case application concludes that this model improves firm’s decision making and suppliers’ performance.,The proposed intelligent model can provide the guidelines and directions for the decision makers to effectively choose suppliers in the current competitive environment. And it also provides an opportunity for supplier improvement.

An experimental investigation of hydrogen-enriched unmodified DI diesel engine in dual fuel mode

In recent years, the concern for cleaner air, along with strict air pollution regulation and the desire to reduce the dependency on fossil fuels have rekindled the interest in hydrogen as a vehicular fuel. Internal combustion engines continue to dominate in many fields like transportation, agriculture and power generation. Diesel engines are the most trusted power sources in the transportation industry. Continuous efforts and tests have tried to reduce fuel consumption and exhaust emissions of internal combustion engines. Among the various alternative fuels, hydrogen is a long term renewable and less polluting fuel (can also be produced from renewable energy sources). In this experimental investigation, the performance and emission characteristics in dual fuel mode with hydrogen inducted along with air adopting carburetion technique are studied on a direct injection, single cylinder, four-stroke, air-cooled, stationary diesel engine coupled to an electric dynamometer. Results showed that the specific energy consumption was reduced. The brake thermal efficiency was increased by 1.83% and NOx was also increased compared to baseline diesel. Other emissions, such as hydrocarbon, carbon-dioxide and carbon monoxide were reduced by 5.13%, 10% and 21.7% respectively as compared to baseline diesel.