Year: 2024
Type: article
Abstract: Objectives: This paper aims to investigate the evolution of supply chain management (SCM) in the globalization era, which is typified by the focus on global supplier relationship systems and the growth of supply chains across national borders and continents. Methods: The introduction of the mathematical models, which include a broad range of linear, integer, and non-linear programming models, is the first section of this paper. Location modeling and transportation planning are two common applications for heuristic models. Although mathematical and heuristic models are best suited for analytical problem solving, complex real-world issues frequently call for basic assumptions. In simulation models, the intricacies of the problem and the relationships between different variables are represented by equations, and then an attempt is made to discuss a comparative analysis of the results. Results: Once put into place, the system always has a lifespan that is determined by the previously mentioned factors and problems. It would be more accurate to say that all developed systems should be reviewed on a regular basis and any necessary adjustments made to maintain their functionality and effectiveness. Conclusion: According to this paper, the fiercely competitive food production market is largely driven by time-based competition, and a producer's or farmer's ability to offer a customer a flexible and responsive supply determines its competitive edge. These businesses understand that providing creative products and outstanding customer service is essential to retaining clients and opening up new revenue streams.
Authors: Ankita Nihlani, Naveen Singh Rana
Institution: Kalinga University
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4404652003