Open AccessNew models and algorithms to solve integrated problems of production planning and control taking into account worker skills in flexible manufacturing systems
Author(s) -
Norbert Tóth,
Gyula Kulcsár
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.2021.5.004
Subject(s) - workstation , production (economics) , production planning , computer integrated manufacturing , control (management) , manufacturing execution system , manufacturing engineering , computer science , process (computing) , cellular manufacturing , flexible manufacturing system , industrial engineering , production control , discrete manufacturing , product (mathematics) , process development execution system , engineering , operations management , scheduling (production processes) , artificial intelligence , geometry , mathematics , economics , macroeconomics , operating system
The paradigm of the cyber-physical manufacturing system is playing an increasingly important role in the development of production systems and management of manufacturing processes. This paper presents an optimization model for solving an integrated problem of production planning and manufacturing control. The goal is to create detailed production plans for a complex manufacturing system and to control the skilled manual workers. The detailed optimization model of the problem and the developed approach and algorithms are described in detail. To consider the impact of human workers performing the manufacturing primary operations, we elaborated an extended simulation-based procedure and new multi-criteria control algorithms that can manage varying availability constraints of parallel workstations, worker-dependent processing times, different product types and process plans. The effectiveness of the proposed algorithms is demonstrated by numerical results based on a case study.