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In today's era of a digital world, mobile phones have now become an essential part in everyday life. The selection of the best mobile phone among the available…
In today's era of a digital world, mobile phones have now become an essential part in everyday life. The selection of the best mobile phone among the available alternatives is a complex decision making it a problem for the customers. Mobile phone manufactures are facing a lot of problems for launching/introducing a mobile phone according to the requirement of customers and it depends on a number of criteria/attributes such as: technical specifications, price, brand etc.
In the presented work, the above-discussed problem has been considered as a Multi-Criteria Decision Making MCDM problem and an approach based on Kano model with Fuzzy AHP and TOPSIS has been proposed to solve the problem. The Kano model has been used for identifying the different Kano categories of all the features through a customer survey. Fuzzy AHP has been applied to achieve the weights of each feature in order to introduce a best mobile phone for the customers. TOPSIS has been used for ranking of alternatives.
main features with different other sub-features have been selected for the study. Different features have been considered as categories and their Kano categories have been found out. The importance of these features has also been calculated by Fuzzy-AHP in terms of their evaluated weights. Different mobile phones have been ranked by TOPSIS according to their features calculated by Fuzzy-AHP. The proposed approach seems effective for identifying/classifying different attributes/features of mobile phones according to customer's requirements.
Here, different features of a mobile phone have been considered for designing a suitable mobile phone. Thus, this work can help a designer to design and select a suitable feature for a customer-oriented mobile phone.
The operational activities of manufacturing organizations are continuously degrading the environment. Circular economy adoption can help industries optimize their…
The operational activities of manufacturing organizations are continuously degrading the environment. Circular economy adoption can help industries optimize their resources along with minimal waste generation. The purpose of this study is to identify and analyze the barriers that hinder the adoption of circular economy (CE) in the manufacturing sector.
The barriers are extracted from a critical review of the literature and listed into three categories as social, economic and environmental. The barriers in each category are then analyzed using the fuzzy-based analytic hierarchy process method. The approach is capable to consider the fuzziness in the preference of barriers and determine their priority.
The pairwise comparison and weight of all the main and sub-criteria are computed, which helps in deciding the ranking of barriers. The results show that social criteria are having the highest importance followed by economic and environmental criteria. Among all the sub-criteria, low demand and acceptance of remanufactured products is at the highest level followed by lack of government support and legislation barrier.
The outcome of this study would be helpful for the decision makers and business managers in the manufacturing sector to focus on the barriers in each category and accordingly formulate strategies for CE adoption.