Supply chain management
Artaphon Chansamut
Abstract
The research aims to design and to assess the suitability supply chain management information system model for quality assurance in educational management for ASEAN University Network Quality Assurance (AUN-QA). The samples are 15 experts selected by purposive sampling. The data is analyzed by means ...
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The research aims to design and to assess the suitability supply chain management information system model for quality assurance in educational management for ASEAN University Network Quality Assurance (AUN-QA). The samples are 15 experts selected by purposive sampling. The data is analyzed by means and standardized deviations statistically. The research result shows that supply chain management information system model for quality assurance in educational management for AUN-QA is consisted of 5 keys which are main components, suppliers, manufacturer, customer, consumers. The data is analyzed by using arithmetic mean and standard deviation. The assessment of supply chain management information system model for quality assurance in educational management for AUN-QA. The results showed that the model was validated at a “high” level, suggesting that supply chain management information system model for quality assurance in educational management for AUN-QA aims to support sustainable information system development.
Supply chain management
S. Tunali; G. Oztuzcu
Abstract
Effective design and management of Supply Chain Networks (SCN) support the production and delivery of products at low cost, high quality, high variety, and short lead times. In this study, a SCN is designed for an automotive company by integrating various approaches. The study has been carried out in ...
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Effective design and management of Supply Chain Networks (SCN) support the production and delivery of products at low cost, high quality, high variety, and short lead times. In this study, a SCN is designed for an automotive company by integrating various approaches. The study has been carried out in two phases: The first phase involves selecting suppliers and distributors by using Data Envelopment Analysis (DEA) and integer-programming model. In the second phase, first the priority ranking of selected suppliers and distributors is determined using the Analytical Hierarchy Process (AHP) and then these priority rankings are integrated into the transportation models developed to identify the optimal routing decisions for all members of the supply chain.
Case studies in industry and services
S. M. Arabzad; M. Ghorbani; M. J. Ranjbar
Abstract
This paper presents a mathematical model for a facility location-allocation problem in order to design an integrated supply chain. We consider a supply chain including multiple suppliers, multiple products, multiple plants, multiple transportation alternatives and multiple customer zones. The problem ...
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This paper presents a mathematical model for a facility location-allocation problem in order to design an integrated supply chain. We consider a supply chain including multiple suppliers, multiple products, multiple plants, multiple transportation alternatives and multiple customer zones. The problem is to determine a number and capacity level of plants, allocation of customers demand, and selection and order allocation of suppliers. A multi-objective mixed-integer linear programming (MOMILP) is presented with two conflicting objectives simultaneously. The first objective is to minimize the total costs of a supply chain including raw material costs, transportation costs and establishment costs of plants. The second objective function aims to minimize the total deterioration rate occurred by transportation alternatives. Finally, by applying the fuzzy goal programming, the model is solved as a single objective mixed-integer programming model. An experiment study shows that the proposed procedure can provide a promising result to design an efficient supply chain.