A study on lean supply chain performance measures of SMEs in the automotive industry

2011 ◽  
Author(s):  
Farzad Behrouzi ◽  
Kuan Yew Wong ◽  
Farshad Behrouzi
Keyword(s):  
Supply Chain ◽  
Performance Measures ◽  
Automotive Industry ◽  
Supply Chain Performance ◽  
Lean Supply Chain

Assessment of Lean Supply Chain Practices in Indian Automotive Industry

2020 ◽  
pp. 097215091989023
Author(s):  
Rohit Kumar Singh ◽  
Sachin Modgil
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Performance Measures ◽  
Automotive Industry ◽  
Management Practices ◽  
Performance Practices ◽  
Future Goals ◽  
Lean Practices ◽  
Effective Performance ◽  
Lean Supply Chain

The purpose of this study is to explore the effect of lean practices on performance measures in the automotive industry and identify the lean criteria that can have significant impact on automotive supply chain. The identified lean practices can serve as a template to enhance the performance of a supply chain. The present study offers a multi-criteria decision-making approach to identify the effective performance practices in automotive lean supply chain. The decision-making trial and evaluation laboratory (DEMATEL) was applied on a matrix of observed values and the actual effect of proposed practices was observed. Further it was confirmed with the help of fuzzy- Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR; that means multicriteria optimization and compromise solution, with pronunciation). The criteria which had the most impact are proposed for achieving the future goals of leanness. It was found that among the lean criteria considered, quality management, information management and customer management practices influence the key performance measures more than others. Although DEMATEL and fuzzy-VIKOR were applied for situation leading to setting up of priorities of factors that considered affecting automotive manufacturer, the proposed methodology can be applied in diverse industrial settings. The present study may help decision-makers to device the appropriate strategy in identifying major practices that influence the lean supply chain.

Developing and Implementing a Port Fluidity Performance Measurement Methodology using Automatic Identification System Data

2018 ◽  
Vol 2672 (11) ◽  
pp. 30-40 ◽  
Author(s):  
C. James Kruse ◽  
Kenneth N. Mitchell ◽  
Patricia K. DiJoseph ◽  
Dong Hun Kang ◽  
David L. Schrank ◽  
...  
Keyword(s):  
Supply Chain ◽  
Travel Time ◽  
Performance Measures ◽  
Automatic Identification ◽  
Identification System ◽  
Army Corps ◽  
Supply Chain Performance ◽  
Travel Time Reliability ◽  
Automatic Identification System ◽  
The U.S

The U.S. Army Corps of Engineers (USACE) is responsible for the maintenance of federally authorized navigation channels and associated infrastructure. As such, USACE requires objective performance measures for determining the level of service being provided by the hundreds of maintained navigation projects nationwide. To this end, the U.S. Army Engineer Research and Development Center partnered with Texas A&M Transportation Institute to develop a freight fluidity assessment framework for coastal ports. The goal was to use archival automatic identification system (AIS) data to develop and demonstrate how ports can be objectively compared in relation to fluidity, or the turnaround time reliability of oceangoing vessels. The framework allows USACE to evaluate maintained navigation project conditions alongside port system performance indices, thereby providing insight into questions of required maintained channel dimensions. The freight fluidity concept focuses on supply chain performance measures such as travel time reliability and end-to-end shipping costs. Although there are numerous research efforts underway to implement freight fluidity, this is the first known application to U.S. ports. This paper covers AIS data inputs, quality control, and performance measures development, and also provides a demonstration application of the methodology at the Port of Mobile, Alabama, highlighting travel time and travel time reliability operating statistics for the overall port area. This work provides foundational knowledge to practitioners and port stakeholders looking to improve supply chain performance and is also valuable for researchers interested in the development and application of multimodal freight fluidity performance measures.

A New Approach to Supply Chain Performance Measurement

2016 ◽  
pp. 111-128
Author(s):  
Amit Kumar Marwah ◽  
Girish Thakar ◽  
R. C. Gupta
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Performance Measures ◽  
Research Work ◽  
Primary Data ◽  
Supply Chain Performance ◽  
New Approach ◽  
Factors Affecting ◽  
Manufacturing Organizations ◽  
Overall Reliability

Existing research work has established that many of today's manufacturing organizations have failed to develop a comprehensive supply chain performance measures. In this chapter, the authors intend to empirically assess the effects of supplier buyer relations and human metrics on supply chain performance in the context of Indian manufacturing organizations. After rigorous literature review, total 18 variables have been identified which are later on reduced in number by factor analysis. As a pilot study, primary data is collected from 100 manufacturing organizations by means of a questionnaire and a scale is developed. On a sample size of 100, the proposed hypotheses are tested by applying two-tailed tests. t-test and factor analysis resulted in 5 factors, 2 related to supplier-buyer relations and 3 related to human metrics. The overall reliability of the scale comes out to be 0.697. The research work provides a new approach to the manufacturing organizations to understand the factors affecting supply chain performance. The present study is limited to Indian manufacturing organizations.

Lean supply chain performance measurement

2014 ◽  
Vol 63 (5) ◽  
pp. 588-612 ◽  
Author(s):  
Kazi Arif-Uz-Zaman ◽  
A.M.M. Nazmul Ahsan
Keyword(s):  
Supply Chain ◽  
Performance Evaluation ◽  
Supply Chains ◽  
Evaluation Method ◽  
Performance Metrics ◽  
Supply Chain Performance ◽  
Competitive Strategies ◽  
Content Type ◽  
Performance Evaluation Method ◽  
Lean Supply Chain

Purpose – The purpose of this paper is to present supply chain metrics and to propose a fuzzy-based performance evaluation method for lean supply chain. Design/methodology/approach – To understand the overall performance of cost competitive supply chain the paper investigates the alignment of market strategy and position of the supply chain. Since lean is applicable in many supply chains, the authors propose a set of metrics to evaluate supply chain performance. Moreover, the paper uses a fuzzy model to evaluate the performance of cost competitive supply chains. Fuzzy is an appropriate model method when uncertainty is present. It also allows modelling of a significant number of performance metrics across multiple supply chain elements and processes. Competitive strategy can be achieved by using a different weight calculation for different supply chain situations. Findings – Research provides optimal metrics for lean supply chains. The proposed method can measure the performance of lean supply chains using a fuzzy approach and competitive strategies. Research limitations/implications – The metrics which have been selected to measure the performance of lean supply chains is particularly applicable for high volume, low-price products. Practical implications – By identifying optimal performance metrics and applying performance evaluation methods, managers can predict the overall supply chain performance under lean strategy. By identifying performance for each metric they can also categorize the existing performance and optimise them accordingly. Originality/value – This study provides a performance evaluation method for supply chain managers to assess the effects of lean tools and competitive strategies.

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