Study on Quality Prediction Technology of Manufacturing Supply Chain

2020 ◽  
pp. 2128-2148
Author(s):  
Genbao Zhang ◽  
Yan Ran ◽  
Dongmei Luo
Keyword(s):  
Quality Control ◽  
Supply Chain ◽  
Customer Satisfaction ◽  
Product Quality ◽  
Manufacturing Industry ◽  
Quality Prediction ◽  
Full Life Cycle ◽  
Manufacturing Supply Chain ◽  
Full Life ◽  
Ensure Product Quality

Supply chain quality is the assurance of product quality in its full life-cycle. Although supply chain quality control is a hot topic among researchers, supply chain quality prediction is actually an important but unsolved problem in manufacturing industry. In this paper, an approach of manufacturing supply chain quality prediction based on quality satisfaction degree is proposed to control supply chain better, in order to help ensure product quality. Supply chain quality prediction 3D model and model based on customer satisfaction and process control are established firstly. And then technologies used in quality prediction are studied, including quality prediction index system established on Expert scoring -AHP and prediction workflow built on ABPM. Finally an example is given to illustrate this approach. The customer satisfaction prediction result of supply chain quality can help supply chain management, and the quality prediction software system can make it easier, which provides a new direction for the product quality control technology research.

Study on Quality Prediction Technology of Manufacturing Supply Chain

2015 ◽  
Vol 8 (4) ◽  
pp. 44-62 ◽  
Author(s):  
Genbao Zhang ◽  
Yan Ran ◽  
Dongmei Luo
Keyword(s):  
Quality Control ◽  
Supply Chain ◽  
Customer Satisfaction ◽  
Product Quality ◽  
Manufacturing Industry ◽  
Unsolved Problem ◽  
Quality Prediction ◽  
Full Life Cycle ◽  
Manufacturing Supply Chain ◽  
Ensure Product Quality

Supply chain quality is the assurance of product quality in its full life-cycle. Although supply chain quality control is a hot topic among researchers, supply chain quality prediction is actually an important but unsolved problem in manufacturing industry. In this paper, an approach of manufacturing supply chain quality prediction based on quality satisfaction degree is proposed to control supply chain better, in order to help ensure product quality. Supply chain quality prediction 3D model and model based on customer satisfaction and process control are established firstly. And then technologies used in quality prediction are studied, including quality prediction index system established on Expert scoring -AHP and prediction workflow built on ABPM. Finally an example is given to illustrate this approach. The customer satisfaction prediction result of supply chain quality can help supply chain management, and the quality prediction software system can make it easier, which provides a new direction for the product quality control technology research.

scholarly journals Quality Risk Propagation of Complex Product Collaborative Manufacturing Supply Chain Network Based on CN and SoV

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Tengjiao Li ◽  
Hongzhuan Chen ◽  
Jie Yuan ◽  
Jingye Qian ◽  
Abdul Waheed Siyal
Keyword(s):  
Risk Factors ◽  
Supply Chain ◽  
Product Quality ◽  
Propagation Model ◽  
Propagation Mechanism ◽  
Supply Chain Network ◽  
Complex Product ◽  
Collaborative Manufacturing ◽  
Manufacturing Supply Chain ◽  
Quality Risk

The collaborative development of complex products has gradually developed into a “main manufacturer-suppliers” mode, under which the manufacturing enterprises form a complex product collaborative manufacturing supply chain network. Quality risks which bring enormous hidden danger to the product quality can be propagated and accumulate along the supply chain. It is of great significance to quantify the propagation mechanism of quality risk between supply chain network nodes and identify the key quality risk factor that causes fluctuation of product quality. This study for the first time applies the SoV into the research on quality risk propagation of complex product collaborative manufacturing supply chain network. Firstly, this paper uses the CN to construct a complex product collaborative manufacturing supply chain network according to its characteristics. Secondly, on the basis of SoV, the quality risk propagation model is established. Thirdly, we put forward a method to identify the key quality risk factors of supply chain network based on the risk propagation effect. Lastly, a numerical simulation is given to verify the effectiveness of the model and its identification method. The results reveal that the quality risk propagation includes the vertical propagation within enterprises and the horizontal propagation from the lower-level enterprises to the upper-level enterprises of the supply chain. The quality risks of an enterprise are determined by its own quality risk factors and the quality risk passed by the lower-level enterprises.

scholarly journals Supply Chain Management and Customer Satisfaction in Small to Medium Enterprises

2016 ◽  
Vol 61 (3) ◽  
pp. 43-58 ◽  
Author(s):  
Osayuwamen Omoruyi ◽  
Chengedzai Mafini
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Customer Satisfaction ◽  
Product Quality ◽  
Management Practices ◽  
Product Variety ◽  
Business Failure ◽  
Chain Management ◽  
Medium Enterprises ◽  
The Relationship

Abstract To circumvent the possibility of business failure, small to medium enterprises in emerging economies face mounting pressure to increase the satisfaction of their customers. The adoption of supply chain management practices is critical to the provision of quality products and services as well as the satisfaction of customers by small to medium enterprises. This paper investigated the relationship between customer satisfaction, supply chain management practices and three input factors; namely, product quality, flexibility and product variety in small to medium enterprises. The study adopted a quantitative approach in which a four section questionnaire was distributed to 131 managers in small to medium enterprises based in Gauteng Province, South Africa. Hypotheses were tested using regression analysis. The results of the study revealed that product quality and flexibility predicted supply chain management practices. Supply chain management practices were also statistically significant, and mediated the relationship between customer satisfaction and product quality and flexibility. Based on these results, conclusions were drawn and appropriate recommendations were made.

Online Monitoring of Nanoparticle Contamination in Reactive Gases

2004 ◽  
Vol 47 (1) ◽  
pp. 111-115 ◽  
Author(s):  
Otmar Schmid ◽  
Max Trueblood ◽  
Donald Hagen ◽  
Philip Whitefield
Keyword(s):  
Quality Control ◽  
Product Quality ◽  
Online Monitoring ◽  
Manufacturing Processes ◽  
Threshold Size ◽  
Process Gas ◽  
Process Gases ◽  
Low Levels ◽  
Reactive Gases ◽  
Ensure Product Quality

Numerous manufacturing processes require extremely low levels of nanoparticulate contamination to ensure product quality. While modern filters efficiently remove nanoparticles, online monitoring of the cleanliness of possibly reactive process gases is frequently necessary for quality control purposes. For most manufacturing processes, product quality depends on the concentration of particles above a specific threshold size. This paper will describe how to design an online nanoparticle monitoring system (NMS) for reactive (and inert) process gases from commercially available components, and will discuss how to adapt this system to varying process requirements, such as particle threshold size, and type and pressure of process gas. This paper will also describe a method to determine experimentally the performance of an NMS to ensure quality control.

Research on a Navigating Hierarchy Model of Aircraft Manufacturing Supply Chain

2010 ◽  
Vol 160-162 ◽  
pp. 464-469
Author(s):  
Li Lan Liu ◽  
Shuai Tian ◽  
Xue Hua Sun ◽  
Tao Yu
Keyword(s):  
Supply Chain ◽  
Manufacturing Industry ◽  
Supply Chain System ◽  
Complex Product ◽  
Chain System ◽  
Aircraft Manufacturing ◽  
Manufacturing Supply Chain ◽  
Hierarchy Model ◽  
Two Factors ◽  
Advanced Model

Aircraft is a complex product, and the Supply-Chain System of Aircraft Manufacturing has many characters which containing hierarchy structure, wide contents in each level, complex relationship between providers etc. So it has a great significance to do research on this. After studying the Kleinberg model and analyzing the characters of providers’ data in Aircraft Manufacturing industry, advanced changes of the Kleinberg model are made, and also the data of Supply-Chain of Aircraft Manufacturing is projected to circle structure, base on these two factors a advanced hierarchical navigable Kleinberg model is proposed, it is more suitable for the Aircraft Manufacturing Supply Chain and its structure is corresponding with the structure of Aircraft Manufacturing Supply Chain. From this advanced model we can do easier research on Supply-Chain System of Aircraft Manufacturing than Kleinberg model.

scholarly journals ANALISIS PENGENDALIAN KUALITAS UNTUK MEMINIMASI PRODUK CACAT PADA BAYAM JEPANG

Agrika ◽  
2020 ◽  
Vol 14 (2) ◽  
pp. 94
Author(s):  
Tio Katana Diana Br Keliat ◽  
Hendrik Johannes Nadapdap
Keyword(s):  
Quality Control ◽  
Customer Satisfaction ◽  
Human Factors ◽  
Production Process ◽  
Product Quality ◽  
Business Owners ◽  
Quality Analysis ◽  
Qualitative Descriptive ◽  
Leaf Rot

ABSTRAKBayam Jepang adalah komoditas unggulan yang diproduksi oleh PO. Sayur Organik Merbabu dengan tingkat penjualan tertinggi mencapai 1018 kg/bulan. Salah satu faktor yang perlu diperhatikan dalam proses produksi adalah kualitas produk, karena akan berdampak terhadap kepuasan konsumen. Akan tetapi terdapat kendala dalam proses produksi, yaitu sifat tanaman yang sangat rentan rusak dan patah jika tidak diperlakukan secara tepat. Sehingga perlu dilakukan analisis kualitas terhadap Bayam Jepang untuk menekan tingkat kerusakan. Tujuan penelitian ini adalah mengetahui jenis cacat dan faktor-faktor yang mempengaruhi kualitas Bayam Jepang.  Penelitian ini dilakukan pada 16 Januari sampai 20 Februari 2020 dengan metode deskripstif kualitatif dan menggunakan alat pengendalian mutu seperti lembar periksa, histogram, peta kendali, pareto dan fishbone. Jumlah informan yang digunakan terdiri dari pemilik usaha, tenaga kerja, petani mitra dan distributor. Setelah dilakukan penelitian ditemukan lima jenis cacat yaitu daun cacat, batang patah, daun kuning, tanaman kerdil dan busuk batang atau daun. Persentase cacat yang paling tinggi adalah daun cacat. Faktor-faktor yang mempengaruhi kualitas Bayam Jepang adalah faktor manusia, metode, dan lingkungan yang didukung dengan pembuatan diagram fishbone.ABSTRACTJapanese spinach is a superior commodity produced by PO. Sayur Organik Merbabu with the highest level of sales reach 1018 kg / month. One factor that needs to be considered in production process is product quality, because it will have an impact on customer satisfaction. However, there are obstacles in the production process, namely the nature of plants that are very susceptible to damage and broken if not treated properly. So it is necessary to conduct a quality analysis of Japanese spinach on an ongoing basis to reduce the level of damage. The purpose of this study is to determine the types of defects and factors that affect the quality of Japanese spinach. This research was conducted on January 16 to February 20, 2020 with qualitative descriptive methods and using quality control tools such as check sheets, histograms, control maps, pareto and fishbone. The number of informants used consisted of business owners, workers, partner farmers and distributors. After doing the research, five types of defects were found, namely defective leaves, broken stems, yellow leaves, dwarf plants and stems or leaf rot, with the highest percentage of defects being defective leaves. While the factors that influence the quality of Japanese spinach are found, namely human factors, methods, and the environment supported by making fishbone diagrams.

Supply Chain Social Sustainability and Manufacturing

2017 ◽  
pp. 1428-1454
Author(s):  
Mani V ◽  
Rajat Agrawal ◽  
Vinay Sharma ◽  
Kavitha T.N
Keyword(s):  
Developing Countries ◽  
Supply Chain ◽  
Manufacturing Industry ◽  
Social Sustainability ◽  
Literature Survey ◽  
Future Research ◽  
Social Dimensions ◽  
Research Gaps ◽  
Manufacturing Supply Chain ◽  
Sustainability Problems

This chapter gives the overview of social sustainability in the supply chain of manufacturing industry. The author through literature survey identifies various definitions to social sustainability and suggest the approach to social sustainability problem in the supply chain. The readers are exposed with different social sustainability problems and what are the enablers and barriers to address such problem. In addition, the author identifies various social dimensions related to manufacturing supply chain and suggest as to how it can be addressed by various practices. Finally, the author identifies the research gaps in developing countries such as India, and suggests directions for future research. This is a vital contribution to the development of theory related to social sustainability in manufacturing Industries.

Supply Chain Social Sustainability and Manufacturing

2018 ◽  
pp. 226-252
Author(s):  
Mani V ◽  
Rajat Agrawal ◽  
Vinay Sharma ◽  
Kavitha T.N.
Keyword(s):  
Developing Countries ◽  
Supply Chain ◽  
Manufacturing Industry ◽  
Social Sustainability ◽  
Literature Survey ◽  
Future Research ◽  
Social Dimensions ◽  
Research Gaps ◽  
Manufacturing Supply Chain ◽  
Sustainability Problems

This chapter gives the overview of social sustainability in the supply chain of manufacturing industry. The author through literature survey identifies various definitions to social sustainability and suggest the approach to social sustainability problem in the supply chain. The readers are exposed with different social sustainability problems and what are the enablers and barriers to address such problem. In addition, the author identifies various social dimensions related to manufacturing supply chain and suggest as to how it can be addressed by various practices. Finally, the author identifies the research gaps in developing countries such as India, and suggests directions for future research. This is a vital contribution to the development of theory related to social sustainability in manufacturing Industries.

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