Many companies struggle with justifying the cost of quality within their supply chain. Outsourcing suppliers to countries such as China has become popular in recent years due to the fact it appears to be more profitable. These outsource decisions do not effectively determine the impacts of quality defects. In this paper we demonstrate a method for evaluating the systemic supply chain risk of poor quality. We introduce a multi-objective stochastic model that uses Six Sigma measures to evaluate financial risk. Results from modeling suggest quality, profit, and customer satisfaction can be evaluated.Supply chain management Supplier selection Stochastic programming Multi-objective optimization Six Sigma quality
Properly managing supply chain risks is at the top of many supply chain managers’agendas. However, t...
Minimizing a company’s operational risk by optimizing the performance of the manufacturing and distr...
This paper considers three types of risk evaluation models within supply chains: chance constrained ...
Supply chain is a dynamic system and there are a lot of uncertainties in supply chain operations. Qu...
Due to today's globalization as well as outsourcing practices of the companies, the Supply Chain (SC...
a b s t r a c t A stochastic fuzzy multi-objective programming model is developed for supply chain o...
The central theme of the study is the service quality optimization of the entire supply chain system...
Adequate and desirable connections between suppliers and customers necessitate an appropriate flow o...
The Chinese melamine milk recall and a series of product harm scandals ranging from milk powder to c...
The goal of this dissertation is to understand what supply chain quality risk management (SCQRM) is ...
Quality issue on supply chain is essential. It affects not only the cost of quality, but also custom...
This paper investigates the twin effects of supply chain visibility (SCV) and supply chain risk (SCR...
Recent studies have shown that the cost of quality (COQ) is of more strategic and economic importanc...
Despite the huge amount of research in the area of supplier selection studying the effect of various...
Supplier selection is an important strategic supply chain design decision. Incorporating uncertainty...
Properly managing supply chain risks is at the top of many supply chain managers’agendas. However, t...
Minimizing a company’s operational risk by optimizing the performance of the manufacturing and distr...
This paper considers three types of risk evaluation models within supply chains: chance constrained ...
Supply chain is a dynamic system and there are a lot of uncertainties in supply chain operations. Qu...
Due to today's globalization as well as outsourcing practices of the companies, the Supply Chain (SC...
a b s t r a c t A stochastic fuzzy multi-objective programming model is developed for supply chain o...
The central theme of the study is the service quality optimization of the entire supply chain system...
Adequate and desirable connections between suppliers and customers necessitate an appropriate flow o...
The Chinese melamine milk recall and a series of product harm scandals ranging from milk powder to c...
The goal of this dissertation is to understand what supply chain quality risk management (SCQRM) is ...
Quality issue on supply chain is essential. It affects not only the cost of quality, but also custom...
This paper investigates the twin effects of supply chain visibility (SCV) and supply chain risk (SCR...
Recent studies have shown that the cost of quality (COQ) is of more strategic and economic importanc...
Despite the huge amount of research in the area of supplier selection studying the effect of various...
Supplier selection is an important strategic supply chain design decision. Incorporating uncertainty...
Properly managing supply chain risks is at the top of many supply chain managers’agendas. However, t...
Minimizing a company’s operational risk by optimizing the performance of the manufacturing and distr...
This paper considers three types of risk evaluation models within supply chains: chance constrained ...