A hybrid framework based on SIPOC and Six Sigma DMAIC for improving process dimensions in supply chain network

2014 ◽  
Vol 31 (5) ◽  
pp. 522-546 ◽  
Author(s):  
Pratima Mishra ◽  
Rajiv Kumar Sharma

Purpose – The purpose of this paper is to introduce a hybrid framework (suppliers, inputs, process, output and customers+define, measure, analyze, improve and control (SIPOC+DMAIC)) aimed at improving supply chain management (SCM) process dimensions in a supply chain (SC) network. Design/methodology/approach – Based upon the critical review of literature, process dimensions (average outgoing quality limit (AOQL), average outgoing quality (AOQ), process Z, defect per million opportunity) critical to SCM performance were identified. A framework consisting of three phases, i.e., design, implementation and results has been conceptualized and a case from paint industry is investigated. Implementation framework makes use of SIPOC model and Six Sigma DMAIC methodology. The goals of the study were achieved by using Six Sigma tools such as brainstorming sessions; root cause analysis, histograms, statistical tools such as control charts and process capability analysis. Findings – Authors made an attempt to propose a conceptual framework for improving process dimensions in a SC network. It is observed from the results that selection of appropriate strategies for improving process performance based upon experiences, and use of statistical tools by cross-functional teams with an effective coordination, guarantees success. Metrics such as AOQL shows the maximum worst possible defective or defect rate for the AOQ. Process Z helps to know about sigma capability of the process. Research limitations/implications – The framework so developed is tested in a single company manufacturing batches of paint. The study has important implications for the industry since it tries to integrate SCM process dimensions which would help in successful implementation of SCM practices in firm by following the DMAIC process. The framework enables the practitioners to investigate the process and demonstrate improvements using DMAIC which makes use of statistical tools. Originality/value – Although process dimensions related to SCM are critical to organization competitiveness, research so far has tended to focus on supply chain operations and reference model, balanced scorecard, total quality management, activity-based costing, just in time, etc., but in literature hardly any description of the SIPOC-DMAIC model to improve SCM process performance is provided. The use of statistics in DMAIC provides better insight into the process performance, and process control.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jaivesh Gandhi ◽  
Shashank Thanki ◽  
Jitesh J. Thakkar

PurposeThe Indian manufacturing sector currently contributes 16–17% to gross domestic product (GDP) and gives employment to around 12% (2014) of the country's workforce. Among the various initiatives planned under Atma Nirbhar Bharat and “Make in India”, the Indian government aims to increase the share of the manufacturing sector to country's GDP to 25% by 2025. To ensure sustainable growth of the Indian manufacturing industries in global market, successful and implementation of strategies such as lean manufacturing, green manufacturing along with six sigma are crucial. This research aims at identification and analysis of barriers to successful implementation of integrated Lean Green Six Sigma (LG&SS) strategies.Design/methodology/approachBased on an evaluative literature review and expert's opinion, this research identifies 18 barriers to lean, green and six sigma implementation in the manufacturing industry in India. The inter-relationships among the barriers is identified using an integrated approach of ISM (interpretive structural modelling) and Fuzzy Matrice d’Impacts Croisés Multiplication Appliquée á un Classement (MICMAC).FindingsISM helps to derive key managerial insights and implementation plan based on the identified inter-relationships among the barriers. Fuzzy MICMAC analysis classifies the barriers into four categories, namely, autonomous, driver, dependent and linkage to understand their relative impact on the implementation of LG&SS practices in the Indian manufacturing industry. “Lack of cooperation and mutual trust between management and employees”, “The scarcity of time and work pressure”, “lack of continuous improvement work culture” and “lack of cooperation from suppliers” that forms the top most level of the model. “Weak legislation” is a highly significant barrier to LG&SS implementation in the Indian manufacturing industries.Practical implicationsIt is expected that the findings of this research will help the Indian manufacturing industry to derive a sustainable competitive advantage through an effective implementation of LG&SS practices.Originality/valueThis study can be seen as the first attempt in investigating barriers to successful implementation of lean, green and six sigma strategies in the Indian manufacturing industries using ISM and fuzzy MICMAC analysis.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sudeep Kumar Pradhan ◽  
Ravi Shrikrishna Reosekar ◽  
Srikanta Routroy

PurposeThe purpose of this paper is to identify, analyze and orient the enablers of Six Sigma to enhance supplier capability for an Indian manufacturing supply chain (SC).Design/methodology/approachIn total, nine enablers of Six Sigma were identified through an extensive literature review and discussion held with managers/senior managers in different Indian manufacturing companies. The interpretative structural modeling (ISM) approach is applied to the Indian auto ancillary company for developing and analyzing the structural framework of enablers to enhance the supplier capability.FindingsThe enablers such as top management commitment and leadership, supply chain management, standardization, training and education, human resource management and project selection and execution methodology of Six Sigma related to supplier capability have emerged as the prominent enablers, which are driving force in the system for the Indian manufacturing SC.Research limitations/implicationsThis study is restricted to only one Indian manufacturing company. Therefore, the outcomes of the study should not be generalized. Further studies may be carried out for several Indian manufacturing industries to get a more comprehensive implementation approach, their validity and their variation across the different industries.Practical implicationsThe simplicity and clarity of the proposed structural framework of Six Sigma helps in the identification and orientation of enablers for the successful implementation of Six Sigma in the SC. The proposed structural framework can be applied to different manufacturing SCs by allowing managers to structure the enablers considering their unique implementation constraints, which can reflect their priority considerations.Originality/valueThe study goes beyond the conceptual discussion of supplier capability issues. The supplier capability cannot be seen as a standalone approach irrespective of the constraints from the supplier domain as it is in synchronization with the entire SC performance. The enablers and their orientation with respect to the SC are providing a unique contribution toward supplier management planning. The outcomes from the proposed structural framework are used for developing action plans for organization “A” or other organizations to build suitable supplier capability in the SC.


2018 ◽  
Vol 30 (1) ◽  
pp. 2-19 ◽  
Author(s):  
Jose Arturo Garza-Reyes ◽  
Mingyang Yu ◽  
Vikas Kumar ◽  
Arvind Upadhyay

Purpose To address the critical sustainability challenges currently faced by China, manufacturers in this country have committed to improve their environmental performance. To support this commitment, evidence suggests that Chinese manufacturers have mainly turned to the implementation of environmental management approaches such as ISO 14001, cleaner production, green supply chain management, circular economy and green lean. However, the adoption of other approaches such as total quality environmental management (TQEM) by Chinese manufacturers is less clear. The purpose of this paper is to fill this gap by providing light into fundamental issues regarding the implementation of TQEM in the manufacturing sector of China. Design/methodology/approach A survey-based exploratory study was conducted based on 119 Chinese manufacturing companies, and the data obtained were analysed using a combination of descriptive and inferential statistics. Findings The results revealed that in general, there is less awareness of TQEM in the Chinese manufacturing sector than other environmental and quality/operations improvement approaches such as green supply chain management, reverse logistics, ISO 9000, Six Sigma and lean Six Sigma. Thus, its degree of implementation is also lower than these approaches as well as ISO 14001. The results also indicate that although a company’s size is not associated with the implementation of TQEM, it is mainly large organisations and those that have adopted TQM those which will be mainly aware and have implemented TQEM. The study also reveals the drivers, results and challenges of TQEM implementation. Originality/value The paper extends the currently limited knowledge on TQEM, and its results are beneficial for managers who aim at effectively adopting TQEM to simultaneously improve the environmental, operational and financial performance of their organisations. The paper can also motivate organisations not currently embarked on the “green wagon” to contemplate the benefits that implementing TQEM, or any other environmental management approach, may bring to their operations and business.


2018 ◽  
Vol 25 (9) ◽  
pp. 3479-3504 ◽  
Author(s):  
Raja Sreedharan V. ◽  
Vijaya Sunder M. ◽  
Raju R.

Purpose The purpose of this paper is to review the existing literature on the critical success factors (CSFs) of various continuous improvement (CI) like total quality management (TQM), Lean, Six Sigma and Lean Six Sigma (LSS), and perform a content analysis (CA) leading to an agenda for future research. Design/methodology/approach CA is based on literature review of 41 papers published in peer-reviewed scholarly journals. A four-stage methodology is used by the authors, with Stage 1 featuring relevant material collection; Stage 2 presenting a descriptive analysis; Stage 3 outlining the category selection; and Stage 4 featuring the material evaluation using clustering and Pareto analysis. Findings The CA revealed various research implications and directions for the future. The number of studies in the literature regarding CSF assessment is found to be far from substantial while compared to CI implementation. Assessment methodologies developed have been ranging from qualitative to quantitative models. Key gaps were identified and directions for CSF assessment are proposed which requires further validation. Research limitations/implications Only articles that appeared in peer-reviewed journals were analyzed; conference papers, reports, manuals and white papers from practice were excluded. Another limitation of the paper would be the scope of CA limited to four CI constructs – TQM, Lean, Six Sigma and LSS. Research implications indicate that the future studies in this domain would be intensive toward analyzing the vital CSFs for enterprise organizational excellence and not merely process excellence. Practical implications This review study can serve as a resource for both researchers and practitioners to understand the importance of CSFs and positioning CSFs for the successful implementation of CI programs. Originality/value The CA on the existing literature on CSFs for CI presents a unique, systematic effort to identify an agenda for future research. This study is the apparently the first of its kind on CSF assessment.


2019 ◽  
Vol 14 (4) ◽  
pp. 1006-1022 ◽  
Author(s):  
Deepak Mathivathanan ◽  
K. Mathiyazhagan ◽  
A. Noorul Haq ◽  
Vishnu Kaippillil

Purpose Sustainable supply chain management (SSCM) concepts have received immense attention in the recent past in both academia and industries. Especially, manufacturing industries in developing countries realize the importance of adopting sustainability concepts in their supply chain. The SSCM adoption has not been to the same level across different manufacturing sectors and hence a single implementation framework will not have the same effect across sectors. This paper aims to compare the adoption level of 25 SSCM practices across three major manufacturing sectors, namely, automobile, electronics and textile, in an emerging economy, India. Design/methodology/approach A questionnaire-based data collection technique is used to obtain adoption levels of each of the identified SSCM practices on a five-point Likert-type scale with “1” representing not considering presently to “5” indicating successful implementation. Second, a hypothesis is framed and tested to compare the adoption levels across sectors using a one-way single-factor ANOVA followed by a post hoc test by Tukey’s test. Findings The results derived suggest that though the industries across different sectors are in the course of adopting SSCM practices, the level of adoption is found to be not the same. The textile sector has adopted the least, and the electronic sector edges ahead of the automobile sector in terms of successful transformation to SSCM. Originality/value This study focuses on the differences and similarities in the adoption of policies in the automobile, electronics and textile sectors using statistical data analysis tools. A total of 25 individual practices are identified from existing literature and classified into six groups, namely, management, supplier, collaboration, design, internal and society, based on their similarities. Based on a detailed questionnaire survey with industrial experts in relevant fields as respondents, the adoption levels of practices are rated individually and categorically.


2020 ◽  
Vol 31 (4) ◽  
pp. 669-686 ◽  
Author(s):  
Abhijeet Ghadge ◽  
Merve Er Kara ◽  
Hamid Moradlou ◽  
Mohit Goswami

PurposeThe study aims to analyse the impact of Industry 4.0 implementation on supply chains and develop an implementation framework by considering potential drivers and barriers for the Industry 4.0 paradigm.Design/methodology/approachA critical literature review is performed to explore the key drivers and barriers for Industry 4.0 implementation under four business dimensions: strategic, organisational, technological and legal and ethical. A system dynamics model is later developed to understand the impact of Industry 4.0 implementation on supply chain parameters, by including both the identified driving forces and barriers for this technological transformation. The results of the simulation model are utilised to develop a conceptual model for a successful implementation and acceleration of Industry 4.0 in supply chains.FindingsIndustry 4.0 is predicted to bring new challenges and opportunities for future supply chains. The study discussed several implementation challenges and proposed a framework for an effective adaption and transition of the Industry 4.0 concept into supply chains.Research limitations/implicationsThe results of the simulation model are utilised to develop a conceptual model for a successful implementation and acceleration of Industry 4.0 in supply chains.Practical implicationsThe study is expected to benefit supply chain managers in understanding the challenges for implementing Industry 4.0 in their network.Originality/valueSimulation analysis provides examination of Industry 4.0 adoption in terms of its impact on supply chain performance and allows incorporation of both the drivers and barriers of this technological transformation into the analysis. Besides providing an empirical basis for this relationship, a new conceptual framework is proposed for Industry 4.0 implementation in supply chains.


2015 ◽  
Vol 27 (3) ◽  
pp. 341-355 ◽  
Author(s):  
Vidosav Majstorovic ◽  
Tatjana V. Sibalija

Purpose – The purpose of this paper is to present the current status of a quality management practice in Serbia, in terms of the development and application of integrated managements systems (IMS), and research and implementation of Six Sigma and the related techniques. Design/methodology/approach – Two main aspects of total quality management (TQM) have been considered: institutional (organisational or strategic) aspect that corresponds to standardised management systems and their integration, and technical (quality engineering) aspect whose main contributor is Six Sigma. The findings of a comprehensive study on IMS implementation in Serbia have been presented, based on the results of a questionnaire that was sent to 54 organisations during 2013. Also, the significant technical improvements and tangible benefits of a recently conducted Six Sigma project were shown, including the application of the advanced quality engineering techniques within DMAIC method. Findings – Good QM practice in Serbia is improving, both in terms of the organisational (IMS) and technical (Six Sigma) aspect, that server as a good basis for the adoption of TQM in manufacturing companies from various sectors. It could be anticipated that these results will facilitate the adoption of an overall TQM culture in Serbia and leverage its future sustainability. Originality/value – This paper offers key insights into IMS and Six Sigma implementation in Serbia. This could encourage manufacturing organisations in developing countries to adopt IMS and Six Sigma, in order to boost the overall TQM culture and gain a competitive advantage.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yugowati Praharsi ◽  
Mohammad Abu Jami’in ◽  
Gaguk Suhardjito ◽  
Hui Ming Wee

Purpose This study aims to apply a Lean Six Sigma framework to support continuous improvement in the maritime industry (shipbuilding, logistics services and shipping companies) during COVID-19 pandemics. By applying the concepts of Lean Six Sigma and supply chain resilience, the most suitable continuous improvement method for the maritime industry is developed to maintain a resilient supply chain during COVID-19. Design/methodology/approach A specific shipbuilding, logistics services and shipping company in Indonesia is chosen as the research object. The Lean Six Sigma framework reveals the wastes through the supply chain resilience concept, and implements internal business processes to maintain optimal system performance. Findings The paper identifies important implementation aspects in applying Lean Six Sigma to shipbuilding, logistics services and shipping. The DMAIC (define, measure, analyze, improve and control) approach is applied to achieve supply chain resilience. Resilient measures are generated for the case companies to maximize performance during the pandemics. Practical implications This paper provides a new insight for integrating Lean Six Sigma and resilience strategies in the maritime industry during COVID-19 disruptions. The authors provide some insights to sustain the performance of the maritime industries under study. Originality/value This study is part of the first research in the maritime industry that focuses on continuous improvement during COVID-19 using Lean Six Sigma and supply chain resilience.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Alnadi ◽  
Patrick McLaughlin

Purpose This paper aims to provide a synthesis of the results of the previous literature on leadership behaviours that enable successful Lean Six Sigma implementation. Design/methodology/approach The published literature that relates to leadership and Lean Six Sigma has been included. A thematic analysis was conducted on the previous literature which helped in identifying the relevant aspects and associating the behaviours with specific aspects. Findings After analysing the literature, seven key aspects have emerged: communication, culture of continuous improvement, coaching and developing employees, creating vision and aligning goals, employee motivation, employee empowerment and leadership commitment and support. The main leadership behaviours that facilitate and support Lean Six Sigma implementation have been summarised. Originality/value Thematic analysis in this field is scarce, so identifying the leadership behaviours’ themes can help researchers in developing a framework of leadership behaviours. Organisations and practitioners of Lean Six Sigma can take into consideration these behaviours as a key to the successful implementation of Lean Six Sigma. They can adjust their behaviours and know the behaviours that need to be developed amongst leaders. This would facilitate the Lean Six Sigma journey by overcoming the challenges that face practitioners during Lean Six Sigma implementation.


2014 ◽  
Vol 31 (7) ◽  
pp. 822-840 ◽  
Author(s):  
Young Sik Cho ◽  
Joo Y. Jung

Purpose – The purpose of this paper is to verify the universal applicability of total quality management (TQM) across national boundaries. Specifically, the authors examined the validity of the isomorphic nature of TQM leadership style by comparing survey samples from both USA-based firms (n=112) and China-based firms (n=121). Design/methodology/approach – The authors collected the primary data through a survey research method. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were adopted to test the hypothesized research model. Findings – The study results did not support the universality of TQM practices. For example, the results reveal that in the USA-based firms, transformational leadership has a more significant positive influence on TQM practices, while in the China-based firms, transactional leadership has a more significant positive impact on TQM practices. Originality/value – Most of the existing literature on TQM assumed that the most effective TQM leadership style would be universal across organizational or international boundaries. However, our findings imply that the effective leadership style for successful implementation of TQM practices could be contingent on the cultural background embedded within the firms. Therefore, the authors anticipate the findings of the study will guide future research on TQM and create a new path to find solutions not only for optimizing the successful implementation of TQM, but also for minimizing the current high level of TQM failures.


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