Open AccessIncorporating batching decisions and operational constraints into the scheduling problem of multisite manufacturing environments
Author(s) -
Sergio Ackermann,
Yanina Fumero,
Jorge Marcelo Montagna
Publication year - 2021
Publication title -
international journal of industrial engineering computations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.564
H-Index - 26
eISSN - 1923-2926
pISSN - 1923-2934
DOI - 10.5267/j.ijiec.2021.1.002
Subject(s) - scheduling (production processes) , standardization , computer science , integer programming , operations research , production (economics) , batch production , production planning , mathematical optimization , operations management , engineering , economics , mathematics , microeconomics , algorithm , operating system
In multisite production environments, the appropriate management of production resources is an activity of fundamental relevance to optimally respond to market demands. In particular, each production facility can operate with different policies according to its objectives, prioritizing the quality and standardization of the product, customer service, or the overall efficiency of the system; goals which must be taken into account when planning the production of the entire complex. At the operational level, in order to achieve an efficient operation of the production system, the integrated problem of batching and scheduling must be solved over all facilities, instead of doing it for each plant separately, as has been usual so far. Then, this paper proposes a mixed-integer linear programming model for the multisite batching and scheduling problems, where different operational policies are considered for multiple batch plants. Through two examples, the impact of policies on the decision-making process is shown.