A conceptual framework for lean supply chain and its implementation

Gurumurthy, Anand; Kodali, Rambabu

doi:10.1504/ijvcm.2008.019517

Cited by 91 publications

(90 citation statements)

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“…Lean paradigm strives to identify and eliminate all nonvalue-added activities, or waste, involved in any kind of business process (Anand and Kodali 2008). Organizations, however, do not necessarily integrate environmental concerns into the implementation of lean paradigm.…”

Section: Introductionmentioning

confidence: 99%

“…From the literature review, it is clear that most of the researches have focused on studying individual paradigms in supply chain management with the focus on lean or green or resilience (Anand and Kodali 2008;Hong et al 2009;Glickman and White 2006) or on the integration of only a couple of them, e.g., lean versus green (Kainuma and Tawara 2006) or resilience versus green (Rosic et al 2009;Azevedo et al 2013a). Although studies on simultaneous integration of lean, green and resilient paradigms in supply chain management are unknown, they are considered crucial to help supply chains to become more efficient, streamlined and sustainable .…”

Section: Introductionmentioning

confidence: 99%

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Lean, green and resilient practices influence on supply chain performance: interpretive structural modeling approach

Govindan

Azevedo

Carvalho

et al. 2013

Int. J. Environ. Sci. Technol.

255

174

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Nowadays, companies are struggling to find an appropriate supply chain strategy to achieve competitiveness. Among the available strategies lean, green and resilient are considered as a new management strategies for the supply chain management to achieve competitiveness. The major issues with theses strategies are the integration and identification of critical issues related to the strategies. This paper aims to identify the critical lean, green and resilient practices on which top management should focus in order to improve the performance of automotive supply chains. The systematic analysis of the lean, green and resilient practices is expected to be of great value for their effective implementation by the automotive companies. The interpretive structural modeling approach is used as a useful methodology to identify inter-relationships among lean, green and resilient practices and supply chain performance and to classify them according to their driving or dependence power. According to this research, the practices with the main driving power are just-in-time (lean practice), flexible transportation (resilient practice) and environmentally friendly packaging (green practice). Customer satisfaction is the performance measure with strong dependence and weak driving power; that is, it is strongly influenced by the other researched variables but does not affect them.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Lean, green and resilient practices influence on supply chain performance: interpretive structural modeling approach

Govindan

Azevedo

Carvalho

et al. 2013

Int. J. Environ. Sci. Technol.

255

174

View full text Add to dashboard Cite

show abstract

“…Ugochukwu et al (2012) states, "When Lean is implemented across the entire SC, the SC is referred as a LSC." Findings from the exhaustive review of Anand and Kodali (2008) show that previous studies concentrated on transforming the current FSC into LSC, rather than building a brand new LSC in its design stage. This study enumerates up to 59 LM tools/techniques available for LSC transformation.…”

Section: Literature Reviewmentioning

confidence: 99%

“…1). To elaborate, suitable LM tools selected among 59 items in review of Anand and Kodali (2008) are implemented into the fourth and fifth stage of the SCOP model (Corominas et al, 2015). These tools are classified into two categories that play a distinct role in the LSCD process: Functional Lean tools (which influence the SC total cost with daily operating functions) and Tier Lean tools (which affect the SC configuration), as depicted in Fig.…”

Section: New Strategic Framework Of Lscdmentioning

confidence: 99%

“…Among them, the Lean Supply Chain (LSC) is assessed as an "ideal SC" (Srinivasan, 2012) since it can promptly and economically deliver the final products/services to customers in a seamless manner. The objective of the LSC is to eliminate non-value added activities as well as reduce the required non-value added activities (Anand and Kodali, 2008). Deborah (2005) analyses and compares the characteristics of the Fat Supply Chain (FSC) and LSC, thereby asserting the undeniable benefits and power of the LSC over the FSC.…”

Section: Introductionmentioning

confidence: 99%

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New Strategy to Optimize Lean Supply Chain Design by Meta-Heuristic

Nguyen¹,

Dao²

2017

American Journal of Engineering and Applied Sciences

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This paper aims at presenting one novel quantitative strategy of optimizing the design of Lean supply chain using Meta-Heuristics. While classifying Lean Manufacturing tools in two categories, namely Functional and Tier Lean tools, we propose a new framework to design the Lean supply chain by implementing the former into a 5-echelon Fat supply chain. As the following step, we investigate the effect of the latter on the mentioned Lean supply chain model. Then, we utilize the tight correlation of Tier Lean tools and priority-based Genetic Algorithm Meta-Heuristics in order to optimize the configuration of the Lean supply chain. Finally, these ideas are illustrated step by step in one numeral example.

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Structural Modeling of the Lean Supply Chain Enablers

Sharma¹,

Sohani

2021

Artificial Intelligence Systems and the Internet of Things in the Digital Era

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A conceptual framework for lean supply chain and its implementation

Cited by 91 publications

References 0 publications

Lean, green and resilient practices influence on supply chain performance: interpretive structural modeling approach

Lean, green and resilient practices influence on supply chain performance: interpretive structural modeling approach

New Strategy to Optimize Lean Supply Chain Design by Meta-Heuristic

Structural Modeling of the Lean Supply Chain Enablers

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