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Article
Publication date: 7 August 2017

Enzo Frazzon, Guilherme Luz Tortorella, Ricardo Dávalos, Tulio Holtz and Leandro Coelho

This paper aims to analyze a conceptual framework of supplier-manufacturer relationship in a lean supply chain environment, which considers two different configurations…

Abstract

Purpose

This paper aims to analyze a conceptual framework of supplier-manufacturer relationship in a lean supply chain environment, which considers two different configurations for the integration of information and material flows, aiming to better understand the applicability of such kind of approach to realistic cases.

Design/methodology/approach

Two different configurations for the integration of transport and material flows will be comparatively simulated and tested, aiming to better understand scientific implications and the applicability of such kind of approach to realistic cases in terms of performance of delivery service level and lead time.

Findings

The findings indicate that the conceptual model provides a framework to define threshold values of production variability to support the decision-making process regarding finished goods lean strategy. Furthermore, as the conceptual model considers as inputs the process variability of both supplier and customer’s production rates, it allows for the verification of the influence of supplier’s efficiency in the inventory sizing adopted in each case.

Originality/value

This study contributes to the body of literature on lean supply chain by proposing a simulation-based model that analyzes two different theoretical scenarios enabling the assessment of trade-offs among delivery service level, inventory strategy and production stability. This analysis provides theoretical arguments that may be extrapolated to real case situations, and considered other sources of instability that can impact the performance.

Details

International Journal of Lean Six Sigma, vol. 8 no. 3
Type: Research Article
ISSN: 2040-4166

Keywords

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Article
Publication date: 13 January 2021

Satie Ledoux Takeda-Berger, Guilherme Luz Tortorella, Carlos Manuel Taboada Rodriguez, Enzo Morosini Frazzon, Tamie Takeda Yokoyama and Marco Aurélio de Oliveira

The purpose of this paper is to classify the main barriers related to the implementation of lean supply chain management (LSCM) and prioritize its main practices. A case…

Abstract

Purpose

The purpose of this paper is to classify the main barriers related to the implementation of lean supply chain management (LSCM) and prioritize its main practices. A case study approach was conducted to obtain values for the intensity of the relationship between LSCM practices and barriers to mitigate or even anticipate difficulties in its implementation.

Design/methodology/approach

The case study in a company in southern Brazil that is in lean implementation is used for conducting this research. The methodology was structured in three steps, namely, classification of the main barriers through risk analysis, selection of LSCM practices appropriate to the company context and ranking and prioritization of the main practices of LSCM related to the barriers to lean implementation.

Findings

As a result, with the combination of two approaches, failure mode and effect analysis (FMEA) and analytical hierarchical process (AHP), it was possible to obtain values for the intensity of the relationship between LSCM practices and barriers. From the 12 barriers, 5 reached a high-risk degree that can be mitigated, and among the 18 practices found, 7 have the potential to be implemented.

Originality/value

This research allows direct efforts to continuously improve the supply chain to mitigate or even anticipate difficulties in its implementation. The proposed methodology, combining FMEA and AHP is easy to apply and understand, allowing managers and professionals to replicate it in the context of their supply chain and verify results similar and comparable to those obtained here.

Details

International Journal of Lean Six Sigma, vol. 12 no. 3
Type: Research Article
ISSN: 2040-4166

Keywords

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Article
Publication date: 3 April 2017

Vinicius Ferreira de Castro and Enzo Morosini Frazzon

The purpose of this paper is to overview the academic literature on benchmarking of best practices tracking the most important articles and understanding the similarity…

Abstract

Purpose

The purpose of this paper is to overview the academic literature on benchmarking of best practices tracking the most important articles and understanding the similarity between studies.

Design/methodology/approach

The most relevant articles were identified using techniques such as the PageRank algorithm and co-citation maps. An analysis of the most relevant articles presents the main concepts, methods and updated discussions on this research field.

Findings

The analysis of academic output substantiates the increase in the production of articles on this research topic. There were identified two main clusters of co-cited articles, one related to data envelopment analysis (DEA) and other that presents a wide variation of methods for benchmarking. There are important critiques towards the past research on benchmarking of best practices, yet, new DEA approaches seem to address most of the criticized issues.

Practical implications

From time to time, a review of the literature of a certain field of knowledge is useful for other researchers to identify and organize its main theories, new trends, most relevant works, influent authors and important publications.

Originality/value

This paper delivers two important values: the updated discussion on benchmarking of best practices, clearing both DEA and non-DEA studies; and the methods adopted to systematically review the literature, which is original on this field of research.

Details

Benchmarking: An International Journal, vol. 24 no. 3
Type: Research Article
ISSN: 1463-5771

Keywords

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