Automation of the re-planning process is an activity of immense importance in production planning systems. We introduce a novel perspective on production planning through substituting classical scheduling and planning mechanism with the process of job delegation and responsibility negotiation among information units – agents of a multi-agent systems. The article comments on various causes and m...

A one-of-a-kind assembly production system is considered. In this system, every product has its own tree structure process route. The new order for the customized product arrives randomly and follows some known probability distribution. The objective is to assign an early due date to every new ordered product and guarantee that no already-arrived product will be delayed. In order to achieve thi...

While sophisticated systems for both process control and production planning enjoy a wide industrial acceptance, tools for batch process scheduling represent a serious gap in the fully automated batch plant. Despite over fifteen years of academic research in batch scheduling algorithms and Moore’s law increases in computing power, spreadsheets and calculators remain the state-of-the-art means f...

Shop floor level operations planning significantly affect the production system performance. Traditionally, in a production system, maintenance planning and production scheduling have been considered and optimized independently. However, these two aspects of operations planning do have an interaction effect on each other and hence need to be considered jointly for improving the system performan...

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...

While the conventional DEA based production plans aim to minimize all the inputs consumption and maximize all the outputs production, there are many real world production systems may also generate undesirable by-products. One methodological difficulty associated with the previous DEA-based production planning models is how to incorporate undesirable factors in the planning models, while the sim...

In this work we propose a simultaneous scheduling and control optimization formulation to address both optimal steady-state production and dynamic product transitions in multiproduct parallel continuous stirred tank reactors. The simultaneous scheduling and control problem for multiproduct parallel continuous reactors is cast as a Mixed-Integer Dynamic Optimization (MIDO) problem. The reactor d...