Performance analysis and improvement of job shop systems: A simulation study

Customer satisfaction is one of the key performance parameters in the present business scenario of systems like job shop which are characterized by high variety and low volume products. In such systems customer satisfaction strongly depends on factors like delivery time and quality of product/service provided. In order to achieve this, it becomes essential to perform proper planning of resource and establish the framework for setting the relative parameters effects and the significance of the assumed parameters. The contribution of present paper lies in developing capacity planning of resources (in terms of buffers and workstations) and setting the priorities to focus on the assumed decision and system parameters and also in highlighting likely factor-level combinations that would result in near-optimal shop performance.