Every production and service system is under intense pressure to operate at maximum efficiency in the current climate of global competition in order to maintain low product prices. Customers today desire a choice of products. It is common knowledge that growing product variety adds complexity and reduces system efficiency. The manufacturing system deals with a wide range of products and is extremely productive. Due to the wide range of models, expensive infrastructure, and demanding clients, the automotive industry is one of the primary contributors to the Indian economy. As a result, the management of automobile service centres is becoming more difficult. Each vehicle that enters the automobile service centre has a unique set of repair and maintenance requirements, and it also has characteristics of a job shop production system. The automobile service centre shares a number of characteristics with supply chain management, maintenance management, and service management. The goal of this study is to construct models that depict how key success elements interact utilising approaches like Artificial Neural Networks (ANN), Analytical Hierarchy Processes (AHP), and Analytical Network Processes (ANP). Among others, similar job shops, such as mobile phones, two-wheelers, and laptops can use it.