An Integrated Contract Manufacturer Selection and Product Quality Optimization Methodology for the Mechanical Manufacturing Industry

2021 ◽  
pp. 115336
Author(s):  
Chun-Ming Yang ◽  
Kuen-Suan Chen
Author(s):  
Genbao Zhang ◽  
Yan Ran ◽  
Dongmei Luo

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.


Author(s):  
Genbao Zhang ◽  
Yan Ran ◽  
Dongmei Luo

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.


Author(s):  
Aftab Khan ◽  
Dawn Tilbury ◽  
James Moyne

In the manufacturing industry, product quality control is often treated as a completely different problem than process diagnostics. Diagnostics methods are used to quickly identify faults during the process, whereas product quality is assessed at the final inspection stage, after the process is completed. The large amount of data that is collected to enable the on-line diagnostics, however, can be used to predict the product quality before the part is measured at the final inspection stage. This predicted quality can be used as feedback to a control system that improves the process quality by adjusting the process inputs. In this paper we propose a predictive inspection based process control solution for a manufacturing process. A manufacturing process is modelled as an input-output system with the machine settings as inputs and two kinds of outputs: diagnostic data and quality. This model is obtained from off-line experiments using a combination of process inputs and external disturbances. In the online implementation the predictive process model is updated with the diagnostic data collected during runtime and quality is improved by using a two-loop control strategy, on a part-to-part or run-to-run (R2R) basis. The proposed approach is applied to and developed for an end milling operation and simulation and experimental results are presented.


2002 ◽  
Vol 15 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Pradeep Kumar ◽  
Parveen Goel

2015 ◽  
Vol 53 (8) ◽  
pp. 1858-1882 ◽  
Author(s):  
Jia-Wei Tang ◽  
Tsuen-Ho Hsu

Purpose – Interest in investigating key supplier relationships from both academic and corporate spheres has increased in recent years. However, it is difficult to develop a sustainable and effective model for evaluating key supplier relationships because the information available in the practical environment is often uncertain and asymmetric. The purpose of this paper is to identify critical factors concerning key suppliers selection derive from resource-based view and construct a hierarchical evaluation framework which has elements of implied change or transformation of the firm’s resources for operation strategies when evaluating key suppliers relationships. Moreover, the authors propose a fuzzy preference relations (FPR) model, with a hierarchical evaluation framework, to address the imprecise and inconsistent information used by managers to evaluate key supplier relationships and further to select appropriate suppliers. Design/methodology/approach – The FPR model based on the consistent FPR methodology not only provides an efficient and systematic evaluation for key supplier relationships by using the performance and evaluation scores of each key supplier, but also solves problems arising from the conventional multi-criteria analysis approach. This methodology is faster to execute and enhance the consistency and accuracy with regard to the decision makers’ judgments. To illustrate how the model is created and assessed, the authors use the TFT-LCD TV panel manufacturing industry as an empirical subject. Findings – The FPR model holds promise for assisting TFT-LCD TV manufacturers in evaluating key supplier relationships with TFT-LCD TV panel suppliers. The findings indicate that first, “the supplier’s product quality” is the most important factor when evaluating key supplier relationships, followed by “selling price set by the supplier” and “specialized supplier development capability”; second, after the 1980s, all suppliers had similar delivery capabilities with only small differences in delivery times, such that the relative importance of “time required for shipments” has become less significant, and customer awareness of the “customer assistance and service” factor has been heightened; third, the provision of excellent product quality and attractive low prices by suppliers requires technical capability, therefore, from the perspectives of industry experts, “specialized supplier development capability” is far more important than “time required for shipments”; and fourth, TFT-LCD TV manufacturers need to focus on their product quality performance continually, and concentrate on applying process technology strategy as well as product and service development strategy to build up “difficult to imitate resources” for competitive advantages. Originality/value – The main contribution is to provide managers with an efficient and systematic model that can evaluate the performance of key supplier relationships in terms of critical factors derived from resource-based theories. By focussing on employing the proposed model with successful management for key supplier relationships, the authors hope to help buying companies improve the benefits of supplier relationships. Because of the uncertainties and complexities of real strategy making in TFT-LCD TV panel industry, the authors offer a model that implicitly assume that managers can have influences over the strategic direction of their organization.


2020 ◽  
Vol 16 (2) ◽  
pp. 1-34
Author(s):  
Yap Wan Yee ◽  
Mohammad Nishat Akhtar ◽  
Elmi Abu Bakar

Product quality is an important issue in all manufacturing industry nowadays to meet the customers’ requirement. In this regard, most of the factory has a special department namely Quality Control (QC) Department which control the product quality. The studied factory is a flexible printed circuit board manufacturer which is located in Bayan Lepas, Pulau Pinang, Malaysia. QC Department of the studied factory has high amount of work-in-progress (WIP). Therefore, the products have to be sent out to subcontractors for quality inspection. However, this method is not economically effective. Hence, the objective of this study was to develop an improved inspection method which will reduce the overall inspection time of the current inspection method (CIM). By reducing the inspection time, productivity of the department will increase and subsequently reduce the amount of WIP. This study is focused on the improvement of one product only. Before the improved inspection method (IIM) of the selected product was developed, performance of the CIM was evaluated by using one of the graphical productivity analysis charting techniques which is flow process chart. It was found that the IIM was able to reduce the inspection time of whole inspection process by 85.06 sec for every 12 panels inspected.


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