Planning & Scheduling In A Multi-Site Production In A Supply Chain Management Environment

This thesis propose the development of a prototype software system as an approach to collaborate decision - making between two facilities and introducing information visibility into the supply chain. Mathematical modelling approach was used to develop Aggregate Production Planning (APP) and Master production Schedule (MPS). The APP was developed as a linear programming problem in which the developed model is used to minimize total costs of production, inventory , backorders, sub-contracting, and workforce at the aggregate level

SOFTWARE ARCHITECTURE FOR A MULTI-SITE PRODUCTION PLANNING AND CONTROL

In order to gain competitive advantage in the globalization today, effective management strategies need to be incorporated, especially in collaborating information sharing among multi-site manufacturing facilities. Information visibility within the supply chain is the process of sharing critical data required to manage the flow of products, services, and information in real time between suppliers and customers. If the information is available but cannot be accessed by the parties most able to react to a given situation, its value degrades drastically. We propose a software system, which incorporates mathematical models, user-interface and web application to solve the collaborative planning problems between multiple sites. Model validations proved the architecture to be robust and suggested cost savings through priority goal structuring. This paper offers a practical solution to real-life industrial problems often faced by the management of manufacturing industry in the world today.Strategy, information technology, planning, architecture, decision-making