1 AIT Asian Institute of Technology

OTOP management VI+I629A supply shain simulation: a case study

AuthorSeksan Phonsuwan
Call NumberAIT Diss. no.ISE-13-01
Subject(s)OTOP--Management
Supply chain management

NoteA dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Engineering in Industrial Engineering and Management, School of Engineering and Technology
PublisherAsian Institute of Technology
Series StatementDissertation ; no. ISE-13-01
AbstractThis dissertation proposes a discrete - event simulation (DES) model of supply chain system for One - Tambon - One - Product (OTOP) business. The supply networks consist of six stages: suppliers, manufacturers, warehouses, wholesalers, retailers and customers. A hybrid push - pull production control system is proposed for the OTOP supply chain for productivity improvement. The performance measures considered are the average inventory level and the number of lost customers. The objective of this research is focused on the use of simulation model to analyze the OTOP supply chain o f the Indigo - dye cotton textile product, the famous OTOP product in Sakon Nakhon province of Thailand. This research covers the activities spanning from the raw material suppliers to the ultimate customers. The simulation modeling and statistical analysis are integrated with the supply chain network configurations of the OTOP management system. The discrete event simulation is applied to study the OTOP planning and management policies for strategic and operation level decisions. A case study is carried out for a multi - stage supply chain that is operated via a hybrid push - pull control policy. A simulation experiment is made to compare the proposed system with the existing system that use straditional push policy. The performance measures are the inventory level and the number of lost customers. The results of the simulation indicated that the proposed multi - stage supply chain with a hybrid push - pull control policy is more effective than the supply chain that is operated with the traditional push policy. The results of the study can be used in the design of the OTOP promotion and training program in order to allow the villagers to operate in a more effective manner. The experimental results of the case study demonstrate that the hybrid push - pull operation strategy can reduce both the inventory level and the number of lost customers. The hybrid push - pull operation flow is an effective way to control the OTOP supply chain. In addition to the experiments presented in the section of simulation and results , the OTOP - SCS model (OTOP - Supply chain simulation model) can be used for further evaluation of other potential OTOP policies. For example, the model can be used to study the optimal cluster size of the OTOP supply chain that can provide the best economic balance to the local community. The OTOP - SCS model can serve as evaluation tool for planning agencies and local communities. While this dissertation concentrates only on the OTOP business ( Micro and Small Enterprises; MSEs, or rural SMEs, or family business) the methodology is rather general and can be adopted in any OTOP enterprises if the criteria and alternatives can be defined. The OTOP entrepreneurs can easily adopt OTOP - SCS model for selection of suppliers or alternative resource management schemes based on other production control systems in practices. The modular design of the simulation model can be configured for different supply chain structure thus allows the model to be reusable.
Year2013
Corresponding Series Added EntryAsian Institute of Technology. Dissertation ; no. ISE-13-01
TypeDissertation
SchoolSchool of Engineering and Technology (SET)
DepartmentDepartment of Industrial Systems Engineering (DISE)
Academic Program/FoSIndustrial Systems Engineering (ISE)
Chairperson(s)Voratas Kachitvichyanukul;
Examination Committee(s)Huynh Trung Luong ;Do Ba Khang;
Scholarship Donor(s)Rajamangala University of Technology Isan Thailand;
DegreeThesis (Ph. D.) - Asian Institute of Technology, 2013


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