conformance quality
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2020 ◽  
Author(s):  
Muthia Ramadhani ◽  
Yuanita Handayati

This research was conducted in Ritz Garment to determine the level of importance of the criteria and sub-criteria that are used for subcontractor selection for Ritz Garment, assess the performance of current and alternative subcontractors, and provide recommendations for Ritz Garment based on the subcontractor selection. To determine the importance of the criteria and sub-criteria and also to score alternatives towards each of the sub-criteria, decision-makers which are the manager and owner of Ritz Garment are interviewed as respondents to get their expert judgment. The interview will generate pairwise comparison for each criterion and sub-criteria from each respondent that will be averaged using geometric mean to get the numbers that will be used to calculate the weight of each criteria and sub-criteria. From the result of this research that is conducted using AHP method with the Expert Choice software, level of importance for each criterion and alternatives are obtained. The order of importance of criteria is Quality (0.296), Cost (0.290), Reliability (0.273), Delivery (0.080), and Flexibility (0.061). The sequence for sub-criteria Global Weight is Defect Rate (0.156), Trustworthy (0.154), Internal Cost (0.153), Conformance Quality (0.140), Product Price (0.137), Product Reliability (0.119), Customization (0.051), Compliance with Quantity (0.045), Compliance with Schedule (0.035), and Product Volume Changes (0.010). For the alternatives, the order of importance is Alternative Subcontractor 1 (7.667), Alternative Subcontractor 2 (0.7.314), Alternative Subcontractor 3 (7.099) and Current Subcontractor (6.266). From the result, it is concluded that Alternative Subcontractor 1 is the best subcontractor to replace Current Subcontractor. Keywords: garment industry, subcontractor selection, analytical hierarchy process, criteria, sub-criteria, best subcontractor, case study


2019 ◽  
Vol 1 (2) ◽  
pp. 115-127
Author(s):  
Fatahillah Akbar Kalam ◽  
Titik Kusmantini ◽  
Sri Isworo Ediningsih

The purposes of this research are to determine the effect of Information Sharing and Product Quality with the mediation of Conformance Quality. The type of this research is observatory research, with a quantitative method approach. The research took place at Sleman, Yogyakarta. The size of the samples 65 coffee shops. The sampling technique uses convenience sampling. The data analysis techniques used in this research are path analysis and linear regression. The results of this research show that there is a significant effect of information sharing and conformance quality on product quality. There is a significant effect of information sharing on conformance quality. There is a significant effect of conformance quality as the mediation of information sharing and product quality. The result of this research demonstrated there is an effect on each other variables.


Author(s):  
Fajar Pitarsi Dharma ◽  
Zulfa Fitri Ikatrinasari ◽  
Humiras Hardi Purba ◽  
Winda Ayu

2013 ◽  
Vol 15 (01) ◽  
pp. 1350001
Author(s):  
KONSTANTIN KOGAN ◽  
DANA SHERILL-ROFE

We address quality control of products undergoing multiple transshipment stages handled by different parties. Depending on the transportation modes, the stages may expose the products to hostile environments, such as extreme temperatures, which could influence quality. We incorporate the effect of quality on demand with the Neyman–Pearson statistical framework to study the effect of intra-competition between supply chain parties on inspection policies and thereby product quality. Specifically, we compare these policies with that of a centralized supply chain, where a single decision maker chooses the optimal inspection policies for all stages. We find that in terms of inspection policy, a party with the higher probability of nonconformance tends to inspect less under competition compared to the system-wide optimal inspection policy. Conversely, the other party may inspect more than under the system-wide optimal policy. We determine when intra-competition impacts conformance quality so that regulations are of particular importance for protecting consumers.


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