The Decision Makers in the production organizations, which produce multiple different products
at the same time, set the priorities for what the organization desires to produce. This
priority is sorting the products in order to schedule the production based on these priorities.
The production organizations receive a huge number of orders from different customers, each
order contains many products with close delivery dates. The organization aims to produce
multiple different products at the same time, in order to satisfy all customers by delivering
all orders at the right time. This study will propose a method to prioritize the production
to produce a multiple different products at the same time, the production lines will produce
multiple different products. This method will prioritize the products using Multi Criteria
Decision Making technique, and prioritize the production operations using a new algorithm
called Algorithm for Prioritization of Production Operations. In addition, the study will provide
an algorithm for production scheduling using the production priority calculated based
on the proposed method. The study will also compare the scheduling based on the priority
rules and based on the proposed method through total production time and the variety of
products produced.
Optimization in mine planning could improve the economic benefit for mining companies. The main optimization contents in an underground mine includes stope layout, access layout and production scheduling. It is common to optimize each part sequentially, where optimal results from one phase are treated as the input for the next phase. The production schedule is based on the mining design. Access layout plays an important role in determining the connection relationships between stopes. This paper proposes a shortest-path search algorithm to design a network that automatically connects each stope. Access layout optimization is treated as a network flow problem. Stopes are viewed as nodes, and the roads between the stopes are regarded as edges. Moreover, the decline location influences the ore transport paths and haul distances. Tree diagrams of the ore transportation path are analyzed when each stope location is treated as an alternative decline location. The optimal decline location is chosen by an enumeration method. Then, Integer Programming (IP) is used to optimize the production scheduling process and maximize the Net Present Value (NPV). The extension sequence of access excavation and stope extraction is taken into account in the optimization model to balance access development and stope mining. These optimization models are validated in an application involving a hypothetical gold deposit, and the results demonstrate that the new approach can provide a more realistic solution compared with those of traditional approaches.