Results 31 to 40 of about 14,109,241 (348)
The energy scheduling problem: Industrial case-study and constraint propagation techniques [PDF]
, 2013 This paper deals with production scheduling involving energy constraints, typically electrical energy. We start by an industrial case-study for which we propose a two-step integer/constraint programming method.
Pierre Lopez +5 more
core +1 more source
Coordination of inbound and outbound transportation schedules with the production schedule [PDF]
Computers & Industrial Engineering, 2017 We study the coordination of production and shipment schedules for a manufacturer.Both inbound and outbound transportation schedules are considered.The objective is to minimize the sum of inventory holding and transportation costs.Properties of the solution space, lower bounds are developed; a heuristic is proposed for large-size instances.
Koç U., Toptal A., Sabuncuoglu I.
openaire +4 more sources
Whale optimization algorithm with opposition-based learning strategy for solving flexible job shop scheduling problem [PDF]
ITM Web of Conferences, 2022 Flexible job shop scheduling problem is the allocation of available shared resources and the sequencing of processing tasks within a certain period of time to meet certain or certain specific production indicators.
Wu Mingliang, Yang Dongsheng, Liu Tianyi
doaj +1 more source
IEEE Access, 2020 The existing production scheduling mode ignores ladle dispatching resulting in the increase of energy consumption in ladle heating and instability in production.
Dayong Han +3 more
doaj +1 more source
Development of Multi-similarity index Clustering algorithm in Mathematical Modelling of Mines [PDF]
مجله مدل سازی در مهندسی, 2019 Generating a production schedule that will provide optimal operating strategies without all technical and operational constraints is not practical. Creating such models with considering NPV as objective function result to oversize mathematical problems ...
farshad nejadshahmohammad
doaj +1 more source
A deep reinforcement learning approach for chemical production scheduling
Computers and Chemical Engineering, 2020 This work examines applying deep reinforcement learning to a chemical production scheduling process to account for uncertainty and achieve online, dynamic scheduling, and benchmarks the results with a mixed-integer linear programming (MILP) model that ...
Christian D. Hubbs +4 more
semanticscholar +1 more source
Improving Manufacturing Supply Chain by Integrating SMED and Production Scheduling
Logistics, 2021 Globalization has led to a significant effect on today’s manufacturing sector. Manufacturers need to find new and innovative ways to increase efficiency and reduce waste in the manufacturing supply chain.
Viren Parwani, Guiping Hu
doaj +1 more source
Impact of Problems Associated with Scheduling and Capacity Planning of a Production Process – An Overview [PDF]
E3S Web of Conferences, 2021 Production is one of the most important activities which guarantee the continued existence of man; however, it comes with its challenges which make it very difficult to meet up the consumer’s demand.
Sunday A. Afolalu +6 more
doaj +1 more source
International Journal of Production Economics, 2020 Recently, many modern industries have adopted joint scheduling of production and distribution decisions. Such coordination is necessary in make-to-order (MTO) businesses, where it is challenging to achieve timely delivery at minimum total cost and meet ...
S. Mohammadi +2 more
semanticscholar +1 more source
Reactive scheduling using a multi-agent model: the SCEP framework [PDF]
, 2001 Multi-agent systems have been successfully applied to the scheduling problem for some time. However, their use often leads to poorly unsatisfactory disappointing results. A new multi-agent model, called supervisor, customers, environment, producers (SCEP)
Archimède, Bernard, Coudert, Thierry
core +1 more source