A Case Study to Track High Value Stillages using RFID for an Automobile OEM and its Supply Chain in the Manufacturing Industry

2006 ◽  
Author(s):  
P. Foster ◽  
A. Sindhu ◽  
D. Blundell
Keyword(s):  
Supply Chain ◽  
Manufacturing Industry

scholarly journals Mathematical Analysis of Supply Chain Optimization focusing on Artificial Neural Network: A case study in Apparel Manufacturing Organization

2022 ◽  
Author(s):  
Shibbir Ahmad ◽  
Mohammad Kamruzzaman
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Selection Criteria ◽  
Manufacturing Industry ◽  
Supply Chain Optimization ◽  
Apparel Manufacturing ◽  
Manufacturing Organizations ◽  
Manufacturing Organization ◽  
The Right

Abstract In this study, implemented artificial nueral network (Ann) in apparel manufacturing organizations to optimize the supply chain converging on right supplier selection by analyzing their performance criteria.Moreover, data collected from three diffrents factory to analyze the efficiney and profit -loss status of that units. Furthermore, analyze the supplier selection criteria of three suppliers in order to select the right supplier at the real time in apparel manufacturing industry . This study shows that it can be saved 20 % of the total cost.

Performance of Green Supply Chain in Manufacturing Industry - The Case of a PCB Manufacturer

2014 ◽  
Vol 687-691 ◽  
pp. 4803-4806 ◽  
Author(s):  
Kuo Hua Lin ◽  
Yong Qiang Zhang ◽  
Sang Bing Tsai ◽  
Shen Shi Wen ◽  
Cheng Kuang Wang
Keyword(s):  
Supply Chain ◽  
Environmental Protection ◽  
Manufacturing Industry ◽  
Management Practice ◽  
Supplier Management ◽  
Green Supply Chain ◽  
Management Mechanism

Green Supply Chain (GSC) requires suppliers to give integrated consideration to their products and the environment-related management practice. The principle of environmental protection shall be incorporated in the supplier management mechanism, with the objective of embodying environmental protection concept in the products, and hence promoting market competiveness. This is a case study on the PCB industry, and the performance of green competitiveness of the company in case was evaluated with the IPA approach. The result then served as the basis for the company’s improvement.

scholarly journals Creating Social Handprints: Method and Case Study in the Electronic Computer Manufacturing Industry

Resources ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 176
Author(s):  
Catherine Benoit Norris ◽  
Gregory A. Norris ◽  
Lina Azuero ◽  
John Pflueger
Keyword(s):  
Supply Chain ◽  
Manufacturing Industry ◽  
Electronic Computer ◽  
Manufacturing Sector ◽  
Global Trade ◽  
Trade Model ◽  
Social Risks ◽  
Negative Impacts ◽  
Social Organizational

This article introduces a process that can be used by companies to obtain an increasingly precise picture of their supply chain social footprint (negative impacts) and identify potential social handprints (i.e., changes to business as usual that create positive impacts) using social organizational life cycle assessment (SO-LCA). The process was developed to apply to the electronics sector but can be used by companies in any industry. Our case study presents the social footprint of a typical US computer manufacturing company and identifies potential salient social risks and hotspots using generic information about the inputs that are related to a global trade model. The global trade model enables us to map the likely supply chain based on where inputs are usually sourced from by the US electronic computer manufacturing sector. In order to identify material impacts, normalization factors were created and used. Once the material impacts and salient risks are known, it becomes necessary to identify root causes in order to plan actions that will truly make a meaningful change, addressing the issues at stake. The article concludes by establishing a methodology that enables the use of the industry-level impacts and assessment in combination with the organization’s own data to calculate company-specific results.

scholarly journals Empirical study of measuring supply chain performance

2015 ◽  
Vol 22 (2) ◽  
pp. 290-308 ◽  
Author(s):  
Ilkka Sillanpää
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Manufacturing Industry ◽  
Case Study Research ◽  
Future Research ◽  
Order Book ◽  
Content Type ◽  
Measurement Framework ◽  
Efficiency And Effectiveness

Purpose – Supply chain (SC) performance measurement – the process of qualifying the efficiency and effectiveness of the SC. The purpose of this paper is to create a SC measurement framework for manufacturing industry, define which data should be measured and verify the measurement framework in the case company’s SC. Design/methodology/approach – There is a review of the current understanding of supply chain management and literature related to SC performance measurement and the study creates a framework for SC measurement. This research is qualitative case study research. Findings – This study presents the main theoretical framework of SC performance measurement. The key elements for the measurement framework were defined as time, profitability, order book analysis and managerial analysis. The measurement framework is tested by measuring case SC performance. Research limitations/implications – In the study, a performance measurement framework was created for the needs of manufacturing industry. Suggestions for future research are multiple case study in different manufacturing industry areas and positivistic-based SC performance research. Practical implications – The measurement framework in this study offers guidelines for measuring the SC in manufacturing industry but the measurement framework could be used in different areas of industry as well. Originality/value – The SC performance measurement framework is tested and a valid framework for SC performance measurement in manufacturing industry.

Blockchain in Supply Chain: Case Study of Lottemart Ciputat

2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Information Asymmetry ◽  
New Technology ◽  
Business Case ◽  
Analysis Method ◽  
Chain Management ◽  
Production Processes

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

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