This paper describes the design of a two-level hierarchical production scheduling engine, which captures the industrial practice of mass production semiconductor fabrication factories (fabs). The two levels of the hierarchy consist of a mid-term scheduler and a short-term scheduler, and are aimed at achieving coordination between the fab-wide objectives and local shop-floor operations. The mid-...

uncertainty plays a major role in any project evaluation and management process. one of the trickiest parts of any production project work is its cost and time forecasting. since in the initial phases of production projects uncertainty is at its highest level, a reliable method of project scheduling and cash flow generation is vital to help the managers reach successful implementation of the pr...

open-pit production scheduling (opps) problem focuses on determining a block sequencing and scheduling to maximize net present value (npv) of the venture under constraints. the scheduling model is critically sensitive to the economic value volatility of block, block weight, and operational capacity. in order to deal with the opps uncertainties, various approaches can be recommended. robust opti...

Mathematical programming, constraint programming and computational intelligence techniques, presented in the literature in the field of operations research and production management, are generally inadequate for planning real-life production process. These methods are in fact dedicated to solving the standard problems such as shop floor scheduling or lot-sizing, or their simple combinations suc...

First of all, in view of the process industry production scheduling system, the mathematical model of the process industry production scheduling was established. Secondly, the shortest maximum completion time was taken as the goal, process industrial production scheduling algorithms based on particle swarm optimization (PSO) was proposed. Finally, the specific production tasks of propylene oxid...

Isr develops, applies and teaches advanced methodologies of design and analysis to solve complex, hierarchical, heterogeneous and dynamic problems of engineering technology and systems for industry and government. Isr is a permanent institute of the university of maryland, within the a. James clark school of engineering. It is a graduated national science foundation engineering research center....

The challenge of improving production scheduling has inspired many different approaches. This paper examines the key contributions of three individuals: Frederick W. Taylor, who defined the key planning functions and created a planning office; Henry L. Gantt, who provided useful charts to improve scheduling decision-making, and Selmer M. Johnson, who wrote a highly influential paper on the math...

Production management involves planning, scheduling and control. Whereas mrp-ii systems have contributed greatly to production planning, detailed scheduling and control remain problematic and have proved a signi cant research challenge. tosca is a research and development programme which provides an overall framework for production planning, scheduling and control based around representations o...

optimization models have been used to support decision making in production planning for a long time. however, several of those models are deterministic and do not address the variability that is present in some of the data. robust optimization is a methodology which can deal with the uncertainty or variability in optimization problems by computing a solution which is feasible for all possible ...