scholarly journals The Strategy of Optimizing Quality Management on Supply Chain with Six Sigma Management Method in the Era of Big Data

2021 ◽  
Vol 1852 (4) ◽  
pp. 042018
Author(s):  
Dexin Lv ◽  
Zhe Li
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Quality Management ◽  
Six Sigma ◽  
Management Method ◽  
Six Sigma Management

Data-driven quality improvement approach to reducing waste in manufacturing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rose Clancy ◽  
Dominic O'Sullivan ◽  
Ken Bruton
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Quality Management ◽  
Process Improvement ◽  
Six Sigma ◽  
Data Driven ◽  
Manufacturing Processes ◽  
Management Performance ◽  
Chain Management ◽  
Content Type

PurposeData-driven quality management systems, brought about by the implementation of digitisation and digital technologies, is an integral part of improving supply chain management performance. The purpose of this study is to determine a methodology to aid the implementation of digital technologies and digitisation of the supply chain to enable data-driven quality management and the reduction of waste from manufacturing processes.Design/methodology/approachMethodologies from both the quality management and data science disciplines were implemented together to test their effectiveness in digitalising a manufacturing process to improve supply chain management performance. The hybrid digitisation approach to process improvement (HyDAPI) methodology was developed using findings from the industrial use case.FindingsUpon assessment of the existing methodologies, Six Sigma and CRISP-DM were found to be the most suitable process improvement and data mining methodologies, respectively. The case study revealed gaps in the implementation of both the Six Sigma and CRISP-DM methodologies in relation to digitisation of the manufacturing process.Practical implicationsValuable practical learnings borne out of the implementation of these methodologies were used to develop the HyDAPI methodology. This methodology offers a pragmatic step by step approach for industrial practitioners to digitally transform their traditional manufacturing processes to enable data-driven quality management and improved supply chain management performance.Originality/valueThis study proposes the HyDAPI methodology that utilises key elements of the Six Sigma DMAIC and the CRISP-DM methodologies along with additions proposed by the author, to aid with the digitisation of manufacturing processes leading to data-driven quality management of operations within the supply chain.

Analysis of Port Authority to Improve Customer Satisfaction Based on DMAIC Mode of Six Sigma Management

2010 ◽  
Vol 171-172 ◽  
pp. 604-608
Author(s):  
Xiao Li Zhang ◽  
Ke Ying Zhang ◽  
Xiao Fei Zhang
Keyword(s):  
Quality Management ◽  
Customer Satisfaction ◽  
Six Sigma ◽  
Service Management ◽  
Service Level ◽  
System Management ◽  
Port Authority ◽  
Fishbone Diagram ◽  
Six Sigma Management ◽  
Management Capabilities

The customer satisfaction is essential in the quality management of the port authority. To improve the customer satisfaction of the port authority in this paper the authors used the method of the DMAIC in the Six Sigma management. This article analyses the quality management of customer satisfaction in the port authority by using the SPSS software, fishbone diagram and other methods. There were presented that improved management could effectively enhance its service level and service quality that benefit increased by 20%. This point in this paper can improve the processes of key port business, their service management system, management capabilities and expand services.

Research on the Intelligent Quality Management System of Supply Chains Based on Six Sigma Theory

2010 ◽  
Vol 439-440 ◽  
pp. 646-651 ◽  
Author(s):  
Qi Lei ◽  
Shuang Qing Yi ◽  
Li Wei Pan ◽  
Yu Chuan Song
Keyword(s):  
Supply Chain ◽  
Expert System ◽  
Quality Management ◽  
Six Sigma ◽  
Management System ◽  
Quality Management System ◽  
Overall Design ◽  
System A ◽  
Expert Model ◽  
The Common

Aiming at the features of the common Supply Chain quality management, an intelligent Supply Chain quality management system based on Six Sigma theory was proposed. The Six Sigma workflow, organizational framework and system goal were adopted in the system overall design, and some traditional Six Sigma tools were integrated into the system. A sub-system for expansive intelligent Six Sigma expert model was designed, which solved the problem of knowledge acquisition in the general expert system and endowed the system with the characteristic of local intelligence.

Pengukuran Kinerja Supply Chain Menggunakan Supply Chain Operation Reference (Scor®) (Studi Kasus Koperasi Baitul Qiradh Baburrayyan)

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Raysa Aleyzia ◽  
Hasan Yudie Sastra
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Six Sigma ◽  
Green Beans ◽  
Chain Management ◽  
Total Cost ◽  
Target Value ◽  
Chain Operation ◽  
Cost To Serve ◽  
Supply Chain Operation

Manajemen supply chain yang tidak maksimal akan mempengaruhi kinerja suatu perusahaan. Di Aceh Tengah terdapat suatu koperasi yaitu Koperasi Baitul Qiradh (KBQ) Baburrayyan yang sudah menerapkan manajemen supply chain. Koperasi ini bergerak di bisnis perdagangan biji kopi (green bean). Penelitian ini bertujuan untuk mengukur kinerja supply chain dari KBQ Baburrayyan. Metode yang digunakan adalah SCOR® dengan praktik perbaikan Convergence of SCOR® with Lean and Six Sigma. Target kinerja yang diperoleh untuk total cost to serve adalah sebesar 94,71% dari nilai target 65,00% dan untuk return on supply chain fixed asset adalah sebesar 1,60 dari nilai target 2,50. Hasil yang diperoleh dari penggunaan praktik tersebut adalah terdapat 8 akar penyebab waste di antaranya kurangnya tenaga pengawas, training/briefing belum maksimal, kurangnya kepedulian tentang pentingnya K3, layout yang kurang efisien, belum adanya unit penyuluhan, alat yang masih sederhana, pekerjaan yang monoton, dan tidak dilarang secara tegas.   Supply chain management that is not optimal will affect the performance of a company. In Central Aceh there is a cooperative namely Koperasi Baitul Qiradh (KBQ) Baburrayyan which has implemented supply chain management. This cooperative is engaged in the business of trading in green beans. This study aims to measure the supply chain performance of KBQ Baburrayyan. The method used is SCOR® with the practice of improving Convergence of SCOR® with Lean and Six Sigma. The performance target for total cost to serve is 94.71% of the target value of 65.00% and the return on supply chain fixed assets is 1.60 of the target value of 2.50. The results obtained from the use of the practice are that there are 8 root causes of waste including lack of supervisors, training / briefing is not maximal, lack of concern about the importance of K3, inefficient layouts, absence of extension units, simple tools, monotonous work, and not strictly prohibited.

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