Planning, scheduling and control systems: why cannot they work together

Operational planning level of development in production enterprises in the machine building industry and its impact on the effectiveness of production

“…This research has been conducted in the process industry (chemical, refineries), and results have shown that the following are the success/failure factors: management model, type of organisation structure, organisation and human behaviour and training and retaining of highly qualified personnel. Management model is, for instance, the limiting factor in chemical industry due to high level of decentralisation, whereas the organisation scheme is a limiting factor in refineries due to lower flexibility rate (Shobrys & White, 2002).…”

Economic Benefit from Progressive Integration of Scheduling and Control for Continuous Chemical Processes

“…Many researchers suggest that economic benefit may arise from integrating production scheduling and process control [4][5][6][7][8][9][10]. Though integration may provide economic benefit, scheduling and control integration presents several challenges which are outlined in multiple reviews on integrated scheduling and control (ISC) [3,[11][12][13][14]. Some of the major challenges to integration mentioned in review articles include time-scale bridging, computational burden, and human factors such as organizational and behavioral challenges.…”

Model-based multi-parametric programming strategies towards the integration of design, control and operational optimization

“…Shobrys and White [323] Interactions of planning scheduling and control and their impact to decision making in process industry operations Mahadevan et al [225] Robust control for the targeting of transition times in scheduling of polymerization operation Chatzidoukas et al [64] Impact of control structure on process operability, product quality optimization and time optimal grade transition Chatzidoukas et al [63] Integration of production scheduling and optimal grade transition profiles with a MIDO approach Nystrom et al [254] Production optimization through determination of transition trajectories, operating points and manufacturing sequence Flores-Tlacuahuac and Grossmann [120,121] Simulataneous cyclic scheduling and control via reformulating an MIDO problem into an MINLP Harjunkoski et al [153] Discussion on the problems arising from the integration of production scheduling and control and its implementation Biegler and Zavala [44] Real-time optimization and control for decision making via the formulation and e cient solution of NLP Subramanian et al [336] Distributed MPC and Cooperative MPC to integrate scheduling objectives with process operation constraints Subramanian et al [335] MI scheduling problem formulation based on state space models Zhuge and Ierapetritou [371] Continuous-time event-point formulation scheduling incorporating explicit constraints derived from mp-MPC to target complexity Kopanos and Pistikopoulos [183] Reactive scheduling of a state space representation based system using multi-parametric programming Baldea and Harjunkoski [19] A comprehensive systematic review of the integration of scheduling and control You and Grossmann [365] Supply chain optimization under uncertainty via multi-period MINLP…”