An empirical investigation on lean supply chain management frameworks in Indian manufacturing industry

2017 ◽  
Vol 66 (6) ◽  
pp. 699-723 ◽  
Author(s):  
Naga Vamsi Krishna Jasti ◽  
Suresh Kurra
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Frequency Distribution ◽  
Empirical Data ◽  
Manufacturing Industry ◽  
Chain Process ◽  
Distribution Analysis ◽  
Chain Management ◽  
Content Type ◽  
Lean Supply Chain

Purpose Supply chain management plays a vital role in deciding the final cost of products. A huge number of non-value-added activities are performed throughout supply chain process. Lean principles are useful to identify and eliminate waste activities across the supply chain management processes. The purpose of this paper is to examine the validity and reliability of the existing lean supply chain management (LSCM) frameworks in the Indian manufacturing industry through questionnaire survey methodology. Design/methodology/approach The present study collected empirical data from 180 top- and middle-level management personnel from the Indian manufacturing industry. Factor analysis was performed to check unidimensionality of LSCM frameworks by using empirical data. Cronbach’s α value of each selected LSCM framework was calculated to find out its reliability. Finally, frequency distribution analysis was performed on the selected framework to identify and reveal critical constructs of LSCM. Findings It was found that nine LSCM frameworks show unidimensionality. The study established that most of the selected frameworks exposed a high level of reliability. The frequency distribution analysis revealed that the larger part of the constructs had a high mean score and mode. It is concluded that there is a need for a new LSCM framework to fulfill the requirements of the Indian manufacturing industry. Originality/value The present study is focused on checking the suitability of existing LSCM frameworks in the Indian manufacturing sector. It is anticipated that the study will be helpful to the professionals who wish to execute appropriate LSCM framework in the manufacturing organization.

Bharat Tobacco: vendor selection and vendor rating

2013 ◽  
Vol 3 (2) ◽  
pp. 1-8
Author(s):  
Monica Singhania ◽  
Gagan Gandhi
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Operations Management ◽  
Manufacturing Industry ◽  
Marketing Research ◽  
Vendor Selection ◽  
Chain Management ◽  
Content Type ◽  
Vendor Rating

Subject area Supply chain management and particularly the significance of vendors as a strategic decision making tool. Study level/applicability The case is suitable for use in the following courses: MBA programs with specialisation in operations management where it can be used to teach students the significance of vendor selection and vendor rating in supply chain management (SCM); marketing research in management where it can be used to highlight the concept of multi attribute utility theory (MAUT) and its application; advanced statistics for multi criteria decision making (MCDM); and MBA/post graduate programs in management in strategic management where it can be used to introduce the concept of SWOT analysis and Porter's five forces model. An understanding of business process improvement will enable students get a comprehensive view about the case. Case overview This case showcases the concepts of MCDM and SCM in manufacturing industry. The company wanted to select vendors and rate them in each category of raw materials in order to have a competitive advantage over competitors. Since there are multiple attributes (often contradictory in nature) based on which the vendors would be selected Kaul, Vice-President, Commercial uses multi-attribute utility theory (MAUT) to help solve the problem. The case has implications for manufacturing industry in selecting vendors to meet a raw materials need. Expected learning outcomes The case can be used to understand management concepts such as market research, supply chain management and multi criteria decision making. It can be used to: teach complexities involved in identifying attributes for vendor selection and vendor rating; help understand supply chain management in business process improvement; help students understand the application of MCDM; and help MBA students studying marketing research. The case will also be useful to students in understanding the application of MCDM in operations management. Some knowledge about cigarette manufacturing will help students to realize the depth of the case. Supplementary materials Teaching notes are available for educators only. Please contact your library to gain login details or email [email protected] to request teaching notes.

The moderating effect of Lean supply chain management on the impact of Lean shop floor practices on quality and inventory

2017 ◽  
Vol 22 (6) ◽  
pp. 473-485 ◽  
Author(s):  
Giuliano Almeida Marodin ◽  
Guilherme Luz Tortorella ◽  
Alejandro Germán Frank ◽  
Moacir Godinho Filho
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Performance Metrics ◽  
Shop Floor ◽  
Chain Management ◽  
Content Type ◽  
Inventory Turnover ◽  
The Impact ◽  
Lean Supply Chain ◽  
Supplier Relationship

Purpose The purpose of this paper is to understand the relationship between the implementation of Lean shop floor (LSF) practices and Lean supply chain management, and their effect on quality and inventory turnover. Design/methodology/approach A survey-based research method was conducted and data were collected from 110 plants located in Brazil. The research constructs were validated through rigorous procedures (unidimensionality and discriminant validity and reliability) through confirmatory factor analysis and two hypotheses were tested using ordinary least square regression. Findings The results indicate that: Lean supplier relationship positively moderates the effect of LSF practices on inventory turnover; Lean customer relationship negatively moderates the effect of LSF practices on inventory turnover; and Lean supplier relationship positively moderates the effect of LSF practices on quality. Originality/value From a theoretical perspective, the results of this study provide evidences supporting the importance of understanding the systemic relationships between Lean implementation at the shop floor and the firm’s relationships with supply chain partners, that was not tested before. As managerial implications, the results suggest that managers should take a decision to foster a Lean supply chain management depending on which performance metrics they need to improve: quality or inventory turnover.

Analysis of the relationship between barriers and practices in the lean supply chain management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Satie Ledoux Takeda-Berger ◽  
Guilherme Luz Tortorella ◽  
Carlos Manuel Taboada Rodriguez ◽  
Enzo Morosini Frazzon ◽  
Tamie Takeda Yokoyama ◽  
...  
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Effect Analysis ◽  
Chain Management ◽  
Lean Implementation ◽  
Content Type ◽  
Study Approach ◽  
The Relationship ◽  
Lean Supply Chain

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.

Mapping the lean supply chain management research through citation classics

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Noelia Garcia-Buendia ◽  
José Moyano-Fuentes ◽  
Juan Manuel Maqueira
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Research Field ◽  
Future Research ◽  
Holistic View ◽  
Chain Management ◽  
Content Type ◽  
Main Research ◽  
Lean Supply Chain ◽  
Citation Classics

Purpose The purpose of this paper is to systematically identify the key intellectual developments of the lean supply chain management (LSCM) field from its very first beginning by analyzing the publications that have been highly cited. Design/methodology/approach The citation classics method has been used to examine the origins and evolution of the research field. In total, 74 articles have been identified as having the highest impact on LSCM research published from its beginnings to the present day. Key aspects and links among the scientific contributions are studied by descriptive, bibliometric, network and content analysis. Findings Publication and citation trends, methodologies used, top journals, most influential authors, institutions and countries, collaboration patterns and evolution of the most used keywords are some of the aspects studied. Three main research areas are identified: LSCM foundations and implementation, lean-agile supply chain and performance assessment and the role of sustainability, which offers a holistic view of the field and enables the identification of potential avenues for future research susceptible to contribute to advancing the knowledge on LSCM. Originality/value This study provides a useful insight into the development of the LSCM field and can help researchers as it explores the state-of-the-art of LSCM by identifying the most relevant contributions in the area, the main research lines addressed by the scientific community in this topic and opportunities for further research on LSCM for years to come.

Validity and reliability of lean product development frameworks in Indian manufacturing industry

2014 ◽  
Vol 18 (4) ◽  
pp. 27-53 ◽  
Author(s):  
Naga Vamsi Krishna Jasti ◽  
Rambabu Kodali
Keyword(s):  
Product Development ◽  
Frequency Distribution ◽  
Empirical Data ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Distribution Analysis ◽  
Validity And Reliability ◽  
Content Type ◽  
Lean Product Development ◽  
Indian Manufacturing Sector

Purpose – The purpose of the article is to identify suitable existing lean product development (LPD) framework that is useful to implement in Indian manufacturing industry. The number of successful products is one of the most deciding factors in any organization revenue. Lean principles can be applied across product development processes to eliminate waste activities. Thus, to fulfill the objective, the present study has performed validity and reliability analysis on the existing LPD frameworks with the help of empirical data collected from Indian manufacturing sector through a survey questionnaire methodology. Design/methodology/approach – The empirical data was collected from 180 manufacturing organizations from Indian manufacturing sector. The study has gathered the empirical data from respondents from top and middle level personnel. Factor analysis was conducted on the collected empirical data to find the unidimensionality of the each framework. Reliability of each individual framework was determined through Cronbach’s alpha value. Finally, the frequency distribution analysis was performed to find familiar constructs in the selected frameworks sorted on the basis of validity and reliability analysis. Findings – The present study found that only eight LPD frameworks have displayed unidimensionality with respect to the construct, i.e. the LPD it measures. The study also found that those eight frameworks have displayed a high level of reliability. Further, the study tried to find the most familiar constructs from the selected eight frameworks by applying frequency distribution analysis. The frequency distribution analysis has identified that most of the constructs have showed a high value in terms of mode and mean. The study also concluded that there is a need to develop a new LPD framework, which is suitable to fulfill the requirements of Indian manufacturing industry, as well as global manufacturing industry. Research limitations/implications – The study collected empirical data from 180 organizations and all of the respondents were restricted from Indian manufacturing industry. Hence, the study believes that there is a chance some more amplification before being generalizes over across the sectors and countries. Originality/value – The main objective of the present article is to find out the suitability of the existing LPD frameworks to Indian manufacturing sector. The study also anticipates that the products development managers and executives may collect complete information on the existing LPD frameworks and also a chance to executing proper suitable framework in the respective manufacturing organization.

Construction of speed-to-market supply chain management model for garment industry

2014 ◽  
Vol 25 (5) ◽  
pp. 734-746 ◽  
Author(s):  
Chung Yeh ◽  
Yu-tang Lee
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Cycle Time ◽  
Lead Time ◽  
Process Model ◽  
Garment Industry ◽  
Chain Process ◽  
Chain Management ◽  
Content Type ◽  
Speed To Market

Purpose – The purpose of this paper is to build and provide a step-by-step methodology to develop a speed-to-market (STM) process model for a fashion garment that can quickly respond to the marketing situation and shorten the cycle time from receiving orders to deliver the finished product. The improved STM process model to contrast the “before” and “after” scenarios in order to induce potential benefits such as reducing production lead-time and keeping low inventory. Design/methodology/approach – First, collected garment business management systems and garment manufacture operational process. Second, according to the point-line-plane-volume work improvement to list the garment industry up and down stream improvement projects and to reduce the supply chain lead-time. Third, establish the STM model and use information technology to redesign the garment industry supply chain process. Fourth, amend the STM model process. Fifth, compare the supply chain lead-time of finished STM process and normal process. Findings – After the garment industry implements STM and supply chain re-engineering, the clothing design to sale process can be simplified and reduced time to market. The garment order to buyer lead-time is shortened from 104 to 42 days totally. Practical implications – This research is a practical business re-engineering process and work improvement. The improvement STM model can half the cycle time from receiving orders to deliver the finished garment product. Originality/value – This paper provides a process with a step-by-step methodology to develop a successful speed-to-market model for the fashion garment industry and it is able to serve as a reference model for other industrial supply chain management.

Application of Lean Thinking in Supply Chain Management by the Small and Medium Sized Manufacturers in China

2013 ◽  
Vol 6 (4) ◽  
pp. 1-17 ◽  
Author(s):  
Kwok Hung Lau ◽  
Jue Wang
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Lean Manufacturing ◽  
Manufacturing Industry ◽  
Current Status ◽  
Lean Thinking ◽  
Chain Management ◽  
Supply Chain Strategy ◽  
Lean Supply Chain ◽  
Self Administered Questionnaire

With increasing pressure for higher wages and growing competition from other developing countries such as Vietnam and Mexico, China can no longer rely heavily on cheap labor supply as a competitive advantage to secure her position as the world’s largest manufacturing base. Other competitive edges, such as lean manufacturing and lean supply chain management that help cut cost and reduce waste, have to be explored. Using a self-administered questionnaire survey, this study investigates the current status of lean thinking application in supply chain management by the small- and medium-sized manufacturers (SMMs) in China. It also explores if there are benefits in the application and the challenges faced by the SMMs in implementation. The findings suggest that application of lean thinking in China is not widespread. For those firms that have applied lean thinking, the major benefits obtained include reductions in cost, waste, inventory, labor, and cycle time. The major difficulties encountered lie in the accurate communication of the requirements between workers and managers and the collaboration with supply chain members. Proper application of lean thinking in supply chain management can bring substantial benefits to the manufacturing industry. Managers can use this research to benchmark their lean thinking application and revise their supply chain strategy accordingly.

Extending lean management along the supply chain: impact on efficiency

2020 ◽  
Vol 32 (1) ◽  
pp. 63-84
Author(s):  
José Moyano-Fuentes ◽  
Juan Manuel Maqueira-Marín ◽  
Pedro José Martínez-Jurado ◽  
Macarena Sacristán-Díaz
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Computer Assisted ◽  
Lean Management ◽  
Chain Management ◽  
Content Type ◽  
Industrial Sectors ◽  
Focal Firm ◽  
Lean Supply Chain ◽  
Internal Level

PurposeThe purpose of this paper is to investigate the contribution to improving the efficiency of the focal firm made by lean management at the internal and supply chain levels.Design/methodology/approachAn empirical study was conducted of 285 Spanish focal companies from industrial sectors that occupy an intermediate position in the supply chain. The data gathering method consisted of a telephone survey using computer-assisted telephone interviewing. A structural equation was used to test the hypotheses.FindingsThe results indicate that there is an improvement in efficiency of the focal firm when lean management extends throughout the supply chain, in line with the resource-based theory and integrated supply chain management. In addition, lean management at the internal level is observed to impact positively on the focal firm's efficiency only when it contributes to enhancing the implementation of lean supply chain management.Practical implicationsTo achieve the best operational performance derived from lean management, managers should pay attention to the transfer to their supply chain members of knowledge, competencies and cultural change linked to the level of internal lean implementation of the focal firm. Moreover, this paper provides a way to assess the operational aspects of lean supply chain strategy implementation and lean supply chain planning.Originality/valueThis study uses a holistic focus on lean supply chain management, to which it applies a validated instrument. It underlines that lean on the internal level should be complemented with lean on the supply chain level to provide a better understanding of the drivers of the efficiency of the focal firm.

Lean supply chain management in healthcare: a systematic review and meta-study

2020 ◽  
Vol 11 (1) ◽  
pp. 1-34 ◽  
Author(s):  
Sasan T. Khorasani ◽  
Jennifer Cross ◽  
Omid Maghazei
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Distribution Systems ◽  
Healthcare Industry ◽  
Healthcare Organizations ◽  
Chain Management ◽  
Content Type ◽  
Lean Supply Chain

PurposeBy applying a systematic literature review, this paper aims to identify the major healthcare problem domains (i.e.target areas) for lean supply chain management (LSCM) and to provide a list of the most common techniques for implementing LSCM in healthcare. Moreover, this study intends to investigate various contingency factors that may have influenced the selection of LSCM target areas or the application of LSCM techniques by healthcare organizations.Design/methodology/approachA systematic literature review was carried out following the method presented by Tranfield et al. (2003). Thereby, 280 peer-reviewed journal articles, published between 1995 and 2018, were selected, profiled and reviewed. In total, 75 papers were also selected for a qualitative analysis, known as meta-study, on the basis of high relevancy to the research objectives.FindingsThis work extracts, from previous research, a set of target areas for improving supply chain in healthcare by applying lean approaches. The work also unifies the language of lean thinking and supply chain in healthcare by defining metaphors in circumstances under which healthcare organizations pursue similar objectives from their supply chain management and lean programs (Schmitt, 2005). This paper also outlines a list of applications of lean for supply chain improvement in healthcare. Finally, a set of contingency factors in the field of lean supply chain in healthcare is found via the published literature.Practical implicationsThis paper provides insights for decision-makers in the healthcare industry regarding the benefits of implementing LSCM, and it identifies contingency factors affecting the implementation of LSCM principles for healthcare. Implementing LSCM can help healthcare organizations improve the following domains: internal interaction between employees, supply chain cost management, medication distribution systems, patient safety and instrument utilization.Social implicationsThe research shows potential synthesis of LSCM with the healthcare industry’s objectives, and, thus, the outcome of this research is likely to have positive influence on the quality and cost of healthcare services. The objectives of the healthcare industry are cost reduction and providing better service quality, and LSCM implementation could be an effective solution to help healthcare to achieve these objectives.Originality/valueThe prime value of this paper lies in conducting a systematic literature review using a meta-study to identify the major factors of implementing LSCM in healthcare. Only a few other studies have been published in the literature about LSCM in healthcare.

A fuzzy maturity-based method for lean supply chain management assessment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gabriela Pereira Soares ◽  
Guilherme Tortorella ◽  
Marina Bouzon ◽  
Madjid Tavana
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Chain Management ◽  
Content Type ◽  
Make To Order ◽  
Lean Practices ◽  
Fuzzy Delphi ◽  
Production Policy ◽  
Proposed Model ◽  
Lean Supply Chain

Purpose This study aims to propose a method for measuring lean supply chain management (LSCM) maturity based on the main lean practices and existing waste of a supply chain. Design/methodology/approach A three-stage approach was developed. First, a thorough literature review was performed to raise concepts and previous findings on maturity models (MMs) and LSCM. This review’s outcomes were then validated by experts in the field using the fuzzy Delphi method (FDM). Subsequently, the proposed model was illustrated and assessed based on a multi-case study. Findings All companies attained high outcomes in the elimination of the waste pillar. The pillars of logistics management, continuous improvement and information technology management also stood out in the three organizations’ results. The company with the lowest maturity level operates in a make-to-order production policy, which may harm the lean supply in its supply chain. Practical implications The proposed model can reveal external opportunities and threats and internal strengths and weaknesses in supply chains (SCs). It is also capable of providing a clear roadmap for SC improvement in companies. Originality/value To the best of the authors’ knowledge, no study to date has proposed a MM in the LSCM context using FDM and considering the crucial relationship between lean practices and wastes.

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