Manufacturing Technology Today

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Integrated Decision Support System for Real Time Capacity Scheduling


Affiliations
1 Department of Production Engineering, Jadavpur University, Kolkata-700032, India
2 Cognizant Technology Solution, Salt Lake, Kolkata-700091, India
     

   Subscribe/Renew Journal


This paper deals with the development of a hybrid prototype system, which would act as an integrated real time decision support system for resource planning and scheduling. The hybrid system would be the application of continuous improvement, with elements of Total Quality Management and Close Loop Enterprise Resource Planning (ERP) modules. A combination of the above two capabilities would help in deploying a hybrid approach of managing the manufacturing activities through 'Advanced Planning and Scheduling' (APS) mechanism. The optimised quantities of products to be manufactured have to be decided after passing through a decision support model. This model has been primarily based on linear programming (LP) method, which would consider the finite capacity of resources.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 188

PDF Views: 0




  • Integrated Decision Support System for Real Time Capacity Scheduling

Abstract Views: 188  |  PDF Views: 0

Authors

Shankar Chakraborty
Department of Production Engineering, Jadavpur University, Kolkata-700032, India
Diganta Tah
Cognizant Technology Solution, Salt Lake, Kolkata-700091, India

Abstract


This paper deals with the development of a hybrid prototype system, which would act as an integrated real time decision support system for resource planning and scheduling. The hybrid system would be the application of continuous improvement, with elements of Total Quality Management and Close Loop Enterprise Resource Planning (ERP) modules. A combination of the above two capabilities would help in deploying a hybrid approach of managing the manufacturing activities through 'Advanced Planning and Scheduling' (APS) mechanism. The optimised quantities of products to be manufactured have to be decided after passing through a decision support model. This model has been primarily based on linear programming (LP) method, which would consider the finite capacity of resources.