Precise services and supply chain prioritization in manufacturing companies using cost analysis provided in a fuzzy environment
Journal Title: Journal of Fuzzy Extension & Applications - Year 2020, Vol 1, Issue 1
Abstract
In recent years, management and, consequently, supply chain performance measurement, has attracted the attention of a large number of managers and researchers in the field of production and operations management. In parallel with the evolution of organizations from a single approach to a network and supply chain approach, performance measurement systems have also changed and moved towards network and supply chain performance measurement. Therefore, in order to face the storm of great change and transformation and not give in to the wave of competitive aggression, organizations have long had one thing in common, and that is to focus approaches and focus efforts towards achieving results. Results that lead to a competitive advantage and are more effective and decisive in the performance indicators of the organization, including earning more. In this study, in order to identify and prioritize the factors affecting the supply chain in manufacturing companies, using indicators such as cost, timely delivery and procurement time to evaluate the supply chain efficiency is considered. And performance evaluation was performed at the manufacturer level. Therefore, in order to evaluate the performance of the supply chain using the AHP integration approach and the DEA method approach in the fuzzy environment, the suppliers and suppliers of the manufacturing company were evaluated and ranked in terms of performance.
Authors and Affiliations
Alireza Marzband
Keywords
Related Articles
- EP ID EP692639
- DOI http://dx.doi.org/10.22105/jfea.2020.248187.1006
- Views 291
- Downloads 0
New Plithogenic sub cognitive maps approach with mediating effects of factors in COVID-19 diagnostic model
The escalation of COVID-19 curves is high and the researchers worldwide are working on diagnostic models, in the way this article proposes COVID-19 diagnostic model using Plithogenic cognitive maps. This paper introduces...
K-algebras on quadripartitioned single valued neutrosophic sets
Abstract Quadripartitioned single valued neutrosophic (QSVN) set is a powerful structure where we have four components Truth-T, Falsity-F, Unknown-U and Contradiction-C. And also it generalizes the concept of fuzzy, init...
Neutrosophication of statistical data in a study to assess the knowledge, attitude and symptoms on reproductive tract infection among women
Statistics mainly concerned with data that may be qualitative or quantitative. Earlier we have used the notion of statistics in the classical sense where we assign values that are crisp. But in reality, we find some area...
Analyzing the barriers of organizational transformation by using fuzzy SWARA
The crucial role of bureaucracy in the economic, political, socio-cultural and political structures, and its impact in achieving the goals of organization is so important that in order to achieve the development, change...
Supplier selection using fuzzy AHP method and D-Numbers
Success in supply begins with the right choice of suppliers and in the long run is directly related to how suppliers are managed, because suppliers have a significant impact on the success or failure of a company. Multi-...