A comprehensive model for process selection by considering offline and online quality control

Jerusalem, Mohammad Adam; Lin, Shi‐Woei; Irianto, Dradjad

doi:10.1299/jamdsm.2016jamdsm0065

Cited by 3 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Then, Irianto (2009) added consideration to the model with the imperfection on the inspection process. Jerusalem et al (2016) proposes a new comprehensive model for process selection. It incorporates both offline and online quality controls, an excellent balance between the costs, tolerance as a quality requirement, and delivery time.…”

Section: Introductionmentioning

confidence: 99%

Product quality improvement model considering quality investment in rework policies and supply chain profit sharing

2019

View full text Add to dashboard Cite

The aim of this paper is to develop an optimization model for quality improvement by considering quality investment in rework policies and supply chain profit sharing. To improve product's quality, the decision of process target and its tolerance is important since it directly affects the defective rate, manufacturing cost, and loss to customer due to the deviation of product from its specification. In this research, two rework policies are considered. In the first policy, the rework is done by using the same manufacturing facility, while in the second policy a new process facility was added for rework. Quality improvement in the supply chain environment is also necessary. Hence, profit sharing system is added in the model to strengthen the commitment of the suppliers in improving component quality. In the system, the manufacturer shares the profits to the supplier if the supplier can meet or exceed the quality target specified by the manufacturer. A comparison is given to determine the best quality improvement policy between those two policies considering profit sharing system. From the results of the optimization, the managers can make economic investment decision economically to correct a defective product through cost optimization model and to choose the best option toward the goal of least unit production cost. By using this model, the decision-maker can evaluate any quality investment in order to achieve significant financial return.

show abstract

Section: Introductionmentioning

confidence: 99%

Product quality improvement model considering quality investment in rework policies and supply chain profit sharing

2019

View full text Add to dashboard Cite

show abstract

“…A lot o f works have been done in the process of the quality problem handling and prevention. A co mprehensive model was proposed for process selection by JERUSALEM MA, th is model integrated quality, cost, and delivery time as well as offline and online quality control (JERUSA LEM, 2016 ). The PDCA wh ich is possible to use for the continuous quality improvement of products, processes and services in organizations is introduced by M. So kovic (M. Sokov ic, 2010).…”

mentioning

confidence: 99%

Holon based framework of quality problem processing in complex product development

Duan

Liu

2018

JAMDSM

View full text Add to dashboard Cite

IntroductionTo analy ze and handle quality problem during product development and manufacture holds significant value to the quality improvement. Fo r the complex products, such as aerospace vehicle, airplane, missile, railway vehicle and steamship etc, the mechanis m of the quality problem is more co mplex because of the various customer requirements, sophisticated components, high-end technology and challenging management (LI Bohu, 2002). The quality control of complex products is an interdisciplinary, co mplex and long cycle proces s (Zhang Genbao, 2010). For a long time, how to analyze and deal with quality problem in co mp lex product development and manufacture has become the co mmon focus of both academia and industry. A lot o f works have been done in the process of the quality problem handling and prevention. A co mprehensive model was proposed for process selection by JERUSALEM MA, th is model integrated quality, cost, and delivery time as well as offline and online quality control (JERUSA LEM, 2016 ). The PDCA wh ich is possible to use for the continuous quality improvement of products, processes and services in organizations is introduced by M. So kovic (M. Sokov ic, 2010). Six sig ma is a measure of quality that strives for near eliminat ion of defects using the application of statistical methods (Jiju Anton, 2004). The Po ka-Yo ke method is to eliminate or min imize hu man erro rs in manufacturing processes and management as a result of mental and physical hu man imperfections (M. Dudek-Burliko wska, 2009). The methods which mentioned above are focused on quality prob lem management with standard processing procedures; they are lack of the combining of the management resources and technology resources. Given this, the quality problem processing framework named "Quality Problem Closed Loop" has been introduced in this paper. The framewo rk has arisen in China aerospace industry and attracted wide attention fro m academia (QJ3183-2003). Quality Prob lem Closed Loop (QPCL) was first put forward in 1990s and was defined as: "The quality problems arising in periods of design, production, experiment and service should be analyzed and corrected in both technology aspect and management aspects, and preventive measures should be taken to avoid the repetitions of potential problems with similar context (QJ3183-2003 China)". QCs-linkage model was constructed to describe the relationships and based on which a quality problem p rocessing framewo rk was proposed (Duan, 2013 Abstract To analyze and handle quality problem during product development and manufacture, a holonic quality problem closed loop (HQPCL) framework is proposed in this paper. Some holons which encapsulate the technology resources and management resources are built in the HQPCL. A series of holonic units such as quality problem locating holon, quality problem source-tracing holon, quality problem mitigation holon, quality problem closed loop holon and assist holons were built. A sequence diagram of the HQPCL was given by the UML (Unified Modeli...

show abstract

A Framework of Integrated Sustainable Make or Buy Decision Model

Rosyidi

2021

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

Tolerance has been recognized as the connector between engineering design and manufacturing stages. It plays an important role in both stages and must be optimally determined to minimize several objectives such as manufacturing cost and quality loss. Considering the engineering design, the tolerance should be set tightly in order to get better quality. Conversely, considering manufacturing stage, the tolerance should be set loosely in order to make the manufacturing process less costly. Process and technological capabilities as well as limited production capacities made manufacturing companies to outsource some of their needed components to their suppliers. Hence, the manufacturing companies should decide which components have to make using its own production facilities and which one that must be purchased from the suppliers. These decisions can be made simultaneously with the determination of optimal tolerance. Due to the intense concerns on environment, sustainability gained more attention in recent years and attracted many researchers including in the field of make or buy decisions. We attempt to integrate the make or buy decisions with sustainability in the form of remanufacturing to determine the optimal component tolerance. We found that the Bass model, a widely used model to predict new product demand, can be integrated to make or buy decisions model specifically in determining the expected number of returned product to be remanufactured. We identify some problems in the integration such as the lead time which comes from the product useful life and time to collect the return product and also the representation of remanufacturing cost function in its relation with tolerance assignment, and considerations of single or multi manufacturing generations.

show abstract

A comprehensive model for process selection by considering offline and online quality control

Cited by 3 publications

References 26 publications

Product quality improvement model considering quality investment in rework policies and supply chain profit sharing

Product quality improvement model considering quality investment in rework policies and supply chain profit sharing

Holon based framework of quality problem processing in complex product development

A Framework of Integrated Sustainable Make or Buy Decision Model

Contact Info

Product

Resources

About