Journal of Process Control - Elsevier.
This paper presents a state diagram that depicts the comparative study of various scheduling algorithms for a single CPU and shows which algorithm is best for the particular situation. Using this representation, it becomes much easier to understand what is going on inside the system and why a different set of processes is a candidate for the allocation of the CPU at different time. The.
In this paper we explore possibilities to cut manufacturing leadtimes and to improve delivery performance in a small batch part manufacturing shop by integrating process planning and shop floor scheduling. Using a set of initial process plans (one for each order in the shop), we exploit a resource decomposition procedure to determine schedules to determine schedules which minimize the maximum.
In order to meet the flexible requirements of enterprise production, an integrated optimization model based on the virtual manufacturing unit of process planning and job-shop scheduling is established. The model makes manufacturing resources information as a combining point and makes the two separate system integrated optimization. Then process route is established in three stages.
Scheduling is the process of arranging, controlling and optimizing work and workloads in a production process or manufacturing process. Scheduling is used to allocate plant and machinery resources, plan human resources, plan production processes and purchase materials. It is an important tool for manufacturing and engineering, where it can have a major impact on the productivity of a process.
Research Challenges in Planning and Scheduling for Enterprise-Wide Optimization of Process Industries Ignacio E. Grossmann Center for Advanced Process Decision-making,Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA Abstract Enterprise-wide optimization (EWO) is a new emerging area that lies at the interface of chemical engineering and operations.
Integrated Process Planning and Scheduling in Commercial Smart Kitchens Dziurzanski, P., Zhao,. Research output: Chapter in Book. This paper considers an application of a new variant of a multi-objective flexible job-shop scheduling problem, featuring multisubset selection of manufactured recipes, to a real-world chemical plant. The problem is optimised using a multi-objective genetic.
T1 - Iron ore production scheduling to improve product quality. AU - Everett, Jim. PY - 2001. Y1 - 2001. N2 - Iron ore quality depends upon successive shipments being uniform in composition, not only in iron but also in several other minerals. The production process involves several stages of scheduling, from the mine face, through railing.