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Kanban Supply Chain Management
A Kanban Study for Multi-echelon Supply Chain Systems
Taschenbuch von Mahdi Sabaghi (u. a.)
Sprache: Englisch

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Beschreibung
Kanban is an approach to provide an effective relation between different components of a Supply Chain System, such as suppliers, manufacturers, warehouses, distribution centers, retailers and finally customers. Instead of pushing parts, in kanban system each proceeding plant(s) sends a signal to the preceding plant(s) for needed parts to be sent. The plants only produce and deliver desired parts when they receive a signal. Number of kanbans can significantly influence the load balance between processes and the amount of orders suppliers need to obtain from subcontractors. A large kanban size results in large amount of work-in-process(WIP) at each workstation. Although, reducing kanban size serves a decrease in WIP, it leads to transportation increase as well as system throughput rate reduction. In this study a multi-echelon supply chain system is considered. Since the model used in this study is mixed integer non-linear programming and solving by exact algorithms such as branch and bound takes lots of time specially when the scale increases, a heuristic method via Genetic Algorithm(GA) is presented and some problems are solved using the proposed GA to illustrate its performance.
Kanban is an approach to provide an effective relation between different components of a Supply Chain System, such as suppliers, manufacturers, warehouses, distribution centers, retailers and finally customers. Instead of pushing parts, in kanban system each proceeding plant(s) sends a signal to the preceding plant(s) for needed parts to be sent. The plants only produce and deliver desired parts when they receive a signal. Number of kanbans can significantly influence the load balance between processes and the amount of orders suppliers need to obtain from subcontractors. A large kanban size results in large amount of work-in-process(WIP) at each workstation. Although, reducing kanban size serves a decrease in WIP, it leads to transportation increase as well as system throughput rate reduction. In this study a multi-echelon supply chain system is considered. Since the model used in this study is mixed integer non-linear programming and solving by exact algorithms such as branch and bound takes lots of time specially when the scale increases, a heuristic method via Genetic Algorithm(GA) is presented and some problems are solved using the proposed GA to illustrate its performance.
Über den Autor
Holds bachelor's degree in Industrial Engineering from Sharif University of Technology,Iran, and master's degree also in Industrial Engineering from Universiti Teknologi Malaysia(UTM). His research interests include logistics and Supply Chain Management, Lean Manufacturing, Information systems, Optimization, System Modelling and Simulation.
Details
Erscheinungsjahr: 2012
Fachbereich: Fertigungstechnik
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: 104 S.
ISBN-13: 9783848485017
ISBN-10: 384848501X
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Sabaghi, Mahdi
Torabizadeh, Mohammad Ehsan
Hersteller: LAP LAMBERT Academic Publishing
Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, ?-1039 Riga, customerservice@vdm-vsg.de
Maße: 220 x 150 x 7 mm
Von/Mit: Mahdi Sabaghi (u. a.)
Erscheinungsdatum: 22.04.2012
Gewicht: 0,173 kg
Artikel-ID: 106490153
Über den Autor
Holds bachelor's degree in Industrial Engineering from Sharif University of Technology,Iran, and master's degree also in Industrial Engineering from Universiti Teknologi Malaysia(UTM). His research interests include logistics and Supply Chain Management, Lean Manufacturing, Information systems, Optimization, System Modelling and Simulation.
Details
Erscheinungsjahr: 2012
Fachbereich: Fertigungstechnik
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: 104 S.
ISBN-13: 9783848485017
ISBN-10: 384848501X
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Sabaghi, Mahdi
Torabizadeh, Mohammad Ehsan
Hersteller: LAP LAMBERT Academic Publishing
Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, ?-1039 Riga, customerservice@vdm-vsg.de
Maße: 220 x 150 x 7 mm
Von/Mit: Mahdi Sabaghi (u. a.)
Erscheinungsdatum: 22.04.2012
Gewicht: 0,173 kg
Artikel-ID: 106490153
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