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Modeling and analysis of global collaborative outsourcing manufacturing systems (GCOM) using Monte Carlo simulation
Title
Modeling and analysis of global collaborative outsourcing manufacturing systems (GCOM) using Monte Carlo simulation.
Creator
Srinuwattiwong, Prapoj., Florida Atlantic University, Han, Chingping (Jim), College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
Abstract/Description
Our research establishes the platform and modeling for the new trend in today's Global Supply Chain Management Systems (GCOM). The framework consists of various practical policies with respect to booking units, reserve-price, and the preservation of relationship between the outsourcing organization and their contract manufacturers. Mathematical models have been studied and reconciled to constitute the most suitable expression. Monte Carlo Simulation is chosen to describe the outsourcing's...
Show moreOur research establishes the platform and modeling for the new trend in today's Global Supply Chain Management Systems (GCOM). The framework consists of various practical policies with respect to booking units, reserve-price, and the preservation of relationship between the outsourcing organization and their contract manufacturers. Mathematical models have been studied and reconciled to constitute the most suitable expression. Monte Carlo Simulation is chosen to describe the outsourcing's phenomena under our given conditions. The study path may be useful for both SCM's analyst and any global organization looking for the offshore outsourcing in order to establish the optimal point in reserving the production's capacity with the cognition in today's fluctuated global demand and currency exchange rate.
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Date Issued
2002
PURL
http://purl.flvc.org/fcla/dt/12018
Subject Headings
Offshore assembly industry, Monte Carlo method, Business logistics, Physical distribution of goods--Management
Format
Document (PDF)
Warehousing simulator design
Title
Warehousing simulator design.
Creator
Aziz, Nibal Tawfiq., Florida Atlantic University, Mazouz, Abdel Kader
Abstract/Description
Warehousing System is a complex problem, requiring simultaneous consideration of a large number of intricately related issues. In this research author focuses on the computerization opportunities that are unique in maintaining smooth storage and retrieval operations and recouping a controlled inventory status of a warehouse system. The main objective in this research is to define how layout decisions can both depend on warehouse's operations and effect inventory control decisions of a...
Show moreWarehousing System is a complex problem, requiring simultaneous consideration of a large number of intricately related issues. In this research author focuses on the computerization opportunities that are unique in maintaining smooth storage and retrieval operations and recouping a controlled inventory status of a warehouse system. The main objective in this research is to define how layout decisions can both depend on warehouse's operations and effect inventory control decisions of a warehouse system. Author had defined, designed and implemented a simulated warehousing system using SIMAN. In particular, author uses simulation modeling as an approach to analyze layout design and operations of a warehouse system. Also, author had developed a database management systems software application using dBase IV. This relational database is used to dynamically forecast inventory level. A case study is used as a test bed to verify and validate the work done.
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Date Issued
1995
PURL
http://purl.flvc.org/fcla/dt/15152
Subject Headings
Warehouses--Designs and plans, Inventory control, Physical distribution of goods, Materials handling, Simulation methods
Format
Document (PDF)
Modeling strategic resource allocation in probabilistic global supply chain system with genetic algorithm
Title
Modeling strategic resource allocation in probabilistic global supply chain system with genetic algorithm.
Creator
Damrongwongsiri, Montri., Florida Atlantic University, Han, Chingping (Jim), College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
Effective and efficient supply chain management is essential for domestic and global organizations to compete successfully in the international market. Superior inventory control policies and product distribution strategies along with advanced information technology enable an organization to collaborate distribution and allocation of inventory to gain a competitive advantage in the world market. Our research establishes the strategic resource allocation model to capture and encapsulate the...
Show moreEffective and efficient supply chain management is essential for domestic and global organizations to compete successfully in the international market. Superior inventory control policies and product distribution strategies along with advanced information technology enable an organization to collaborate distribution and allocation of inventory to gain a competitive advantage in the world market. Our research establishes the strategic resource allocation model to capture and encapsulate the complexity of the modern global supply chain management problem. A mathematical model was constructed to depict the stochastic, multiple-period, two-echelon inventory with the many-to-many demand-supplier network problem. The model simultaneously constitutes the uncertainties of inventory control and transportation parameters as well as the varying price factors. A genetic algorithm (GA) was applied to derive optimal solutions through a two-stage optimization process. Practical examples and solutions from three sourcing strategies (single sourcing, multiple sourcing, and dedicated system) were included to illustrate the GA based solution procedure. Our model can be utilized as a collaborative supply chain strategic planning tool to efficiently determine the appropriate inventory allocation and a dynamic decision making process to effectively manage the distribution plan.
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Date Issued
2003
PURL
http://purl.flvc.org/fcla/dt/12056
Subject Headings
Business logistics--Mathematical models, Physical distribution of goods--Management, Inventory control--Mathematical models, Genetic algorithms
Format
Document (PDF)