Optimizing milk-run system and IT-based Kanban with artificial intelligence: an empirical study on multi-lines assembly shop floor

ABSTRACTIn this research, a dynamic optimization of milk-run system (MRS) managed with an IT-based Kanban (ITK) is performed. The main tasks are to i) explore how artificial intelligence may allow MRS to choose the most efficient path and ii) measure the impact on the main production parameters. The...
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Autor*in:	Menanno Marialuisa [verfasserIn] Savino Matteo M. [verfasserIn] Shafiq Muhammad [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Milk-run system (MRS) IT-based Kanban (ITK) artificial intelligence multi-lines assembly shop floor

Übergeordnetes Werk:	In: Production and Manufacturing Research: An Open Access Journal - Taylor & Francis Group, 2015, 11(2023), 1
Übergeordnetes Werk:	volume:11 ; year:2023 ; number:1

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1080/21693277.2023.2179123

Katalog-ID:	DOAJ081062206

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authorswithroles_txt_mv	Menanno Marialuisa @@aut@@ Savino Matteo M. @@aut@@ Shafiq Muhammad @@aut@@
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callnumber-first	T - Technology
author	Menanno Marialuisa
spellingShingle	Menanno Marialuisa misc TS1-2301 misc HF5001-6182 misc Milk-run system (MRS) misc IT-based Kanban (ITK) misc artificial intelligence misc multi-lines assembly shop floor misc Technology misc T misc Manufactures misc Business Optimizing milk-run system and IT-based Kanban with artificial intelligence: an empirical study on multi-lines assembly shop floor
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topic_title	TS1-2301 HF5001-6182 Optimizing milk-run system and IT-based Kanban with artificial intelligence: an empirical study on multi-lines assembly shop floor Milk-run system (MRS) IT-based Kanban (ITK) artificial intelligence multi-lines assembly shop floor
topic	misc TS1-2301 misc HF5001-6182 misc Milk-run system (MRS) misc IT-based Kanban (ITK) misc artificial intelligence misc multi-lines assembly shop floor misc Technology misc T misc Manufactures misc Business
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title	Optimizing milk-run system and IT-based Kanban with artificial intelligence: an empirical study on multi-lines assembly shop floor
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title_sort	optimizing milk-run system and it-based kanban with artificial intelligence: an empirical study on multi-lines assembly shop floor
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title_auth	Optimizing milk-run system and IT-based Kanban with artificial intelligence: an empirical study on multi-lines assembly shop floor
abstract	ABSTRACTIn this research, a dynamic optimization of milk-run system (MRS) managed with an IT-based Kanban (ITK) is performed. The main tasks are to i) explore how artificial intelligence may allow MRS to choose the most efficient path and ii) measure the impact on the main production parameters. The study explores the Kanban signals activating an ant colony optimization algorithm that finds the best path from supermarket to the lines. Then, genetic algorithm solves an objective function to find the optimal delivery times according to the paths found. The optimal path is dynamically found for each MRS supply cycle. Within the empirical results, significant improvements for production parameters and overall system performance have been appraised. The lead time and material handling time show a strong decrease to 39% and 48%, respectively, while work in process decreases of 22% for all assembly lines. Workstation starvation decreased by 43% and machine saturation increased by 37%.
abstractGer	ABSTRACTIn this research, a dynamic optimization of milk-run system (MRS) managed with an IT-based Kanban (ITK) is performed. The main tasks are to i) explore how artificial intelligence may allow MRS to choose the most efficient path and ii) measure the impact on the main production parameters. The study explores the Kanban signals activating an ant colony optimization algorithm that finds the best path from supermarket to the lines. Then, genetic algorithm solves an objective function to find the optimal delivery times according to the paths found. The optimal path is dynamically found for each MRS supply cycle. Within the empirical results, significant improvements for production parameters and overall system performance have been appraised. The lead time and material handling time show a strong decrease to 39% and 48%, respectively, while work in process decreases of 22% for all assembly lines. Workstation starvation decreased by 43% and machine saturation increased by 37%.
abstract_unstemmed	ABSTRACTIn this research, a dynamic optimization of milk-run system (MRS) managed with an IT-based Kanban (ITK) is performed. The main tasks are to i) explore how artificial intelligence may allow MRS to choose the most efficient path and ii) measure the impact on the main production parameters. The study explores the Kanban signals activating an ant colony optimization algorithm that finds the best path from supermarket to the lines. Then, genetic algorithm solves an objective function to find the optimal delivery times according to the paths found. The optimal path is dynamically found for each MRS supply cycle. Within the empirical results, significant improvements for production parameters and overall system performance have been appraised. The lead time and material handling time show a strong decrease to 39% and 48%, respectively, while work in process decreases of 22% for all assembly lines. Workstation starvation decreased by 43% and machine saturation increased by 37%.
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title_short	Optimizing milk-run system and IT-based Kanban with artificial intelligence: an empirical study on multi-lines assembly shop floor
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