Modelling of critical factors for responsiveness in supply chain

2015 ◽  
Vol 26 (6) ◽  
pp. 868-888 ◽  
Author(s):  
Rajesh Kumar Singh
Keyword(s):  
Supply Chain ◽  
Inventory Management ◽  
Lead Time ◽  
Product Life Cycle ◽  
Strategy Development ◽  
Top Management ◽  
Critical Factors ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Use Of Resources

Purpose – In globalized economy, product life cycle is reducing continuously, customers demands are changing fast, and lead time for response is decreasing. In such scenario, ability of firms to quickly respond to changes in their external environment is a primary determinant of firm’s performance. This can be only possible when whole of the supply chain (SC) is responsive. For this, firms have to manage internal operations effectively to enable SC, responsive for market requirements. The purpose of this paper is to identify different factors for responsive SC. Design/methodology/approach – Based on literature review, total 17 critical factors for the responsive SC have been identified. Some of these factors are process oriented and some are result oriented. To develop structural relationship among these factors from strategic perspective, interpretive structural modeling (ISM) approach has been applied. Findings – It is observed that top management commitment, strategy development, resource development, use of technology, risk and reward sharing are major drivers for responsive SC. By managing these enablers, organizations can also benefit in terms of inventory management, lead time reduction and agility. Research limitations/implications – ISM has got some limitations. Major limitation is that the relationships developed are subjective and there are chances of biasing. Therefore findings need to be validated with case studies and empirical findings. Practical implications – Top management should strive for effective use of resources and technology to improve SC capabilities to meet market changes. Originality/value – This study develops structural relationships between different factors and it will help organizations in taking initiatives for improving responsiveness.

Modelling the measures of supply chain performance in the Indian automotive industry

2015 ◽  
Vol 22 (4) ◽  
pp. 665-696 ◽  
Author(s):  
Rajesh Katiyar ◽  
Mukesh Kumar Barua ◽  
Purushottam L. Meena
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
Automotive Industry ◽  
Lead Time ◽  
Matrix Multiplication ◽  
Supply Chain Performance ◽  
Key Factors ◽  
Order Entry ◽  
Interpretive Structural Modeling ◽  
Content Type

Purpose – The purpose of this paper is to investigate the interactions among the key factors of supply chain (SC) in the Indian automotive industry. These key factors are helpful to measure supply chain performance (SCP) and to improve the firm’s effectiveness. Design/methodology/approach – In this paper, an interpretive structural modeling with a fuzzy cross-impact matrix multiplication applied to classification-based approach is used to examine the interactions among the key factors of SCP measurement. Findings – The authors have identified the most dominant key factors used for measuring the performance in automotive SC. The results exhibit that the order lead-time and order entry method are the most significant key factors. These key factors have high driving power to measure SCP whereas the post-transaction measure of customer service and customer query time are highly dependent on other factors. Such relationships among the key factors can help a firm’s top management to make essential judgments in order to solve the overall SC problems and provide a better approach to proactively deal with problems. Originality/value – In this paper, the authors have explored the interactions among the key factors of the SCP in the Indian automotive industry.

scholarly journals Reconfiguration of supply chain network: an ISM-based roadmap to performance

2014 ◽  
Vol 21 (3) ◽  
pp. 386-411 ◽  
Author(s):  
Navin K. Dev ◽  
Ravi Shankar ◽  
Prasanta Kumar Dey
Keyword(s):  
Supply Chain ◽  
Mass Customization ◽  
Product Life Cycle ◽  
Discrete Event ◽  
Interaction Matrix ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Event Simulation ◽  
Short Product ◽  
Practical Implications

Purpose – Short product life cycle and/or mass customization necessitate reconfiguration of operational enablers of supply chain (SC) from time to time in order to harness high levels of performance. The purpose of this paper is to identify the key operational enablers under stochastic environment on which practitioner should focus while reconfiguring a SC network. Design/methodology/approach – The paper used interpretive structural modeling (ISM) approach that presents a hierarchy-based model and the mutual relationships among the enablers. The contextual relationship needed for developing structural self-interaction matrix (SSIM) among various enablers is realized by conducting experiments through simulation of a hypothetical SC network. Findings – The research identifies various operational enablers having a high driving power towards assumed performance measures. In this regard, these enablers require maximum attention and of strategic importance while reconfiguring SC. Practical implications – ISM provides a useful tool to the SC managers to strategically adopt and focus on the key enablers which have comparatively greater potential in enhancing the SC performance under given operational settings. Originality/value – The present research realizes the importance of SC flexibility under the premise of reconfiguration of the operational units in order to harness high value of SC performance. Given the resulting digraph through ISM, the decision maker can focus the key enablers for effective reconfiguration. The study is one of the first efforts that develop contextual relations among operational enablers for SSIM matrix through integration of discrete event simulation to ISM.

Measuring the flexibility index for a supply chain using graph theory matrix approach

2019 ◽  
Vol 13 (1) ◽  
pp. 56-69 ◽  
Author(s):  
Rajesh Kumar Singh ◽  
Pravin Kumar
Keyword(s):  
Supply Chain ◽  
Graph Theory ◽  
Product Life Cycle ◽  
Organizational Factors ◽  
Product Variety ◽  
Business Environment ◽  
Strategy Development ◽  
Matrix Approach ◽  
Content Type ◽  
Flexibility Index

Purpose In complex business environment of today, organizations are trying to be flexible and agile for meeting dynamic demands of customers in terms of product variety, cost cutting and decreasing product life cycle. The main purpose of this paper is to identify different attributes of flexibility and to propose an approach for evaluating flexibility index of a supply chain. Design/methodology/approach Total 33 factors are identified from the literature and further clustered into six major groups. They are top management commitment, organizational factors, mutual understanding, flow of information, relationship and decision-making and responsiveness. On the basis of these factors, an index has been developed by using graph theory matrix approach to evaluate the flexibility intensity of the supply chain for the firm in consideration. Findings The proposed approach has been illustrated in context to an Indian automobile organization, and value of the flexibility index has been evaluated. Framework proposed will help the supply chain managers to evaluate the flexibility index of their respective organizations. Research limitations/implications As values taken for different flexibility sub-factors are based on inputs given by managers of case organization, chances of bias may be there. Therefore, a study may be validated with more case studies to validate the proposed framework. Based on the flexibility index, organizations can find their strong and weak areas for strategy development. Originality/value A firm can also compare the flexibility index of its own supply chain with other’s supply chain or with the best in the industry for benchmarking purpose. Benchmarking of flexibility will help organizations in developing strategies to compete in dynamic market scenario.

A systematic literature review of healthcare supply chain and implications of future research

2019 ◽  
Vol 13 (4) ◽  
pp. 405-435 ◽  
Author(s):  
Anuj Dixit ◽  
Srikanta Routroy ◽  
Sunil Kumar Dubey
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Inventory Management ◽  
Cold Chain ◽  
Future Research ◽  
Research Papers ◽  
Content Type ◽  
Drug Manufacturing ◽  
Customer Training

Purpose This paper aims to review the healthcare supply chain (HSC) literature along various areas and to find out the gap in it. Design/methodology/approach In total, 143 research papers were reviewed during 1996-2017. A critical review was carried out in various dimensions such as research methodologies/data collection method (empirical, case study and literature review) and inquiry mode of research methodology (qualitative, quantitative and mixed), country-specific, targeted area, research aim and year of publication. Findings Supply chain (SC) operations, performance measurement, inventory management, lean and agile operation, and use of information technology were well studied and analyzed, however, employee and customer training, tracking and visibility of medicines, cold chain management, human resource practices, risk management and waste management are felt to be important areas but not much attention were made in this direction. Research limitations/implications Mainly drug and vaccine SC were considered in current study of HSC while SC along healthcare equipment and machine, hospitality and drug manufacturing related papers were excluded in this study. Practical implications This literature review has recognized and analyzed various issues relevant to HSC and shows the direction for future research to develop an efficient and effective HSC. Originality/value The insight of various aspects of HSC was explored in general for better and deeper understanding of it for designing of an efficient and competent HSC. The outcomes of the study may form a basis to decide direction of future research.

Factors impacting BIM application in prefabricated buildings in China with DEMATEL-ISM

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Cheng Gong ◽  
Hongyu Xu ◽  
Feng Xiong ◽  
Jian Zuo ◽  
Na Dong
Keyword(s):  
Rapid Development ◽  
Information Modeling ◽  
Critical Factors ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Expert Interview ◽  
Improvement Strategies ◽  
Building Information ◽  
Share Data ◽  
Strategic Goals

Purpose Some papers have investigated the complex factors impacting building information modeling (BIM) application in prefabricated buildings (PBs), but few paid attention to their interaction relationships. Ignoring the fact that different factors are not isolated may lead to some key factors being overlooked without appropriate improvement strategies being proposed. This paper aims to analyze those factors and their inter-relationships, with the view to identify the critical factors and their interaction relationships so as to derive constructive strategies that would effectively facilitate BIM adoption in Chinese prefabrication. Design/methodology/approach First, factors influencing BIM application in prefabrication are extracted and collated by literature review, expert interview and analysis of PBs characteristics. Thereafter, an evaluation laboratory (decision-making trial and evaluation laboratory) and interpretive structural modeling are used to explore the relationships and hierarchy among the factors. Based on the degree of cause and centrality, critical factors are extracted and the interaction relationship are investigated. Findings The results show that BIM policies and standards for PBs are the main causal factors. The maturity of BIM software and BIM data interface for PBs, willingness to share data, the strategic goals of the enterprise, BIM law and BIM input and benefit are the main transitional factors while BIM staff and workflow, enterprise attitude, distribution of BIM liability and cooperation of participants are the main direct factors. Originality/value Based on the above findings, corresponding improvement strategies are proposed so as to promote BIM application in prefabrication and the rapid development of China’s PBs efficiently.

The impact of cloud-enabled process integration on supply chain performance and firm sustainability: the moderating role of top management

2018 ◽  
Vol 23 (6) ◽  
pp. 500-517 ◽  
Author(s):  
Himanshu Shee ◽  
Shah Jahan Miah ◽  
Leon Fairfield ◽  
Nyoman Pujawan
Keyword(s):  
Supply Chain ◽  
Information And Communication Technologies ◽  
Structural Equation ◽  
Moderating Effect ◽  
Top Management ◽  
Supply Chain Performance ◽  
Unique Contribution ◽  
Content Type ◽  
The Impact ◽  
The Relationship

PurposeTheorising from the intersection of supply chain and information systems (IS) literature, this study aims to investigate supply chain integration (SCI) as a multidimensional construct in the context of cloud-based technology and explores the effect of cloud-enabled SCI on supply chain performance, which will eventually improve firm sustainability from a resource-based view (RBV). In addition, the moderating effect of top management is explored.Design/methodology/approachUsing cross-sectional survey data collected from a sample of 105 Australian retail firms, this study used structural equation modelling to test the hypothesised relationship of cloud-enabled SCI with performance in a theoretical model.FindingsResults show that cloud-based technology has positive effect on SCI, and the cloud-enabled SCI is positively related to supply chain performance which eventually influenced firm sustainability. Further, top management intervention moderates the relationship between supplier and internal integration with supply chain performance. But it is found to have no moderating effect on the relationship between customer integration and supply chain performance.Practical implicationsRecognising the potential benefits of emerging cloud-based technologies reported in this study, retail managers need to understand that higher order SCI requires the support of cloud-based technology to improve supply chain performance and firm sustainability.Originality/valueThis research extends prior research of information and communication technologies-enabled SCI and its effect on supply chain performance which overly remains inconsistent. In addition, IS literature abounds with discussion on cloud computing technologyper se, and its adoption in supply chain is overly rhetoric. This study fills this gap by conceptualising the multiple dimensions of SCI enabled by cloud-based technology and the way it affects supply chain and firm sustainable performance. Investigating SCI in context of cloud-based technology is a unique contribution in this study. The moderating effect of top management in this decision also adds to the current body of literature.

scholarly journals Framework for successful supply chain implementation in healthcare area from provider’s prospective

2018 ◽  
Vol 12 (2) ◽  
pp. 135-145 ◽  
Author(s):  
Ik-Whan Kwon ◽  
Sung-Ho Kim
Keyword(s):  
Health Care ◽  
Supply Chain ◽  
Inventory Management ◽  
Health Care Providers ◽  
Management Practices ◽  
Cost Of Care ◽  
Care Providers ◽  
Financial Health ◽  
Content Type ◽  
Supply Chain Finance

Purpose This paper aims to explore avenue where suppliers and manufacturers are aligned with health-care providers to improve supply chain visibility. Supply chain finance is explored to link suppliers/manufacturers with health-care providers. Design/methodology/approach Existing literature on supply chain visibility in health care forms a basis to achieve the study purpose. Alignment calls also for financial health where supply chain partners’ working capital is readily available to execute joint supply chain plan. Findings There is a disjoint in supply chain alliance between suppliers/manufacturers and providers where providers are unable to trace the origin of supplies. Quality care suffers and cost of care rises as providers search for supplies on an emergency basis. This paper provides a framework where solution can be formulated. Research limitations/implications Suppliers/manufactures form a direct strategic alliance with providers where product visibility enables health-care providers with a better patient management with lower cost of supplies. Inventory management and logistics cost will be lowered as better planning/forecasting is in place. This paper does not call for testing any hypothesis. Perhaps, next move along this line will be to investigate financial health of supply chain partners based on supplier relationship management practices. Originality/value This paper proposes health-care supply chain as an alternative solution to achieve the following twin purposes: controlling the cost while improving quality of care through supply chain finance. As far as we know, this study is the first attempt to achieve the goals.

Sustainable logistics barriers of fruits and vegetables

2018 ◽  
Vol 25 (8) ◽  
pp. 2589-2610 ◽  
Author(s):  
Rakesh Raut ◽  
Bhaskar B. Gardas
Keyword(s):  
Supply Chain ◽  
Value Chain ◽  
Fruits And Vegetables ◽  
Structural Model ◽  
Fresh Produce ◽  
Sustainable Transportation ◽  
Three Dimensions ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Sustainable Logistics

PurposeThe reduction of food wastage at every stage of a fresh produce supply chain helps in achieving balance among all three dimensions (social, ecological and economic) of the sustainability and helps in stimulating the growth and development in the agricultural domain. The purpose of this paper is to address the causal factors of post-harvesting losses (PHLs) occurring in the transportation phase.Design/methodology/approachThrough exhaustive literature survey and expert opinions, 12 crucial barriers to sustainable transportation of fruits and vegetables (F&V) are identified. The interpretive structural modeling (ISM) methodology, a multi-criteria decision-making (MCDM) approach, is employed for developing a structural model of the identified barriers.FindingsThe results of the analysis highlighted that two factors, namely, the non-availability of refrigerated vehicles, and excessive loading on the vehicles, are the most significant barriers to sustainable transportation which are found to have the highest driving power.Research limitations/implicationsThe results of the present research are applicable to the F&V supply chains only. The established interrelation among the identified factors depends on the judgments given by the experts which could be biased. The developed ISM model is intended to guide the policy and decision makers for formulating the policies for the performance improvement of the fresh produce value chain.Originality/valueIt is the first research of its kind focusing on the model development of critical factors causing PHLs in the transportation phase of the agricultural fresh produce supply chain using MCDM process.

An integrated interpretive structural modeling and a graph-theoretic approach for measuring the supply chain complexity in the Indian automotive industry

2018 ◽  
Vol 29 (3) ◽  
pp. 478-514 ◽  
Author(s):  
Kavilal E.G. ◽  
Shanmugam Prasanna Venkatesan ◽  
Joshi Sanket
Keyword(s):  
Supply Chain ◽  
Automotive Industry ◽  
Structural Modeling ◽  
Theoretic Approach ◽  
Passenger Vehicle ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Graph Theoretic ◽  
Graph Theoretic Approach ◽  
Numerical Index

Purpose Easily employable quantitative supply chain complexity (SCC) measures considering the significant dimensions of complexity as well as the drivers that represent those dimensions are limited in the literature. The purpose of this paper is to propose an integrated interpretive structural modeling (ISM) and a graph-theoretic approach to quantify SCC by a single numerical index considering the interdependence and the inheritance of the SCC drivers. Design/methodology/approach In total, 18 SCC drivers identified from the literature are clustered according to the significant dimensions of complexity. The interdependencies established through ISM and inheritance values of SCC drivers are mapped into a Variable Permanent Matrix (VPM). The permanent function of this VPM is then computed and the resulting single numerical index is the measure of SCC. Findings A scale is proposed by computing the minimum and maximum threshold values of SCC with the help of expert opinions of the Indian automotive industry. The complexity of commercial and passenger vehicle sectors within the automotive industry is measured and compared using the proposed scale. From the results, it is identified that the number of suppliers, increase in spare-parts due to shortened product life-cycle and demand uncertainties increase the SCC of the passenger vehicle sector, while number of parts, products and processes, variety of products and process and unreliability of suppliers increase the complexity of the commercial vehicle sector. The result indicates that various SCC drivers have a different impact on determining the SCC level of these two sectors. Originality/value The authors propose an integrated method that can be readily applied to measure and quantify SCC considering the significant dimensions of complexity as well as the interdependence and the inheritance of the SCC drivers that contribute to those dimensions. This index further helps to compare the complexity of the supply chain which varies between industries.

scholarly journals Supply Chain Finance Factors: An Interpretive Structural Modeling Approach

2021 ◽  
Vol 29 (1) ◽  
pp. 88-111
Author(s):  
Zericho Marak ◽  
◽  
Deepa Pillai ◽  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Information Sharing ◽  
Structural Modeling ◽  
Influential Factors ◽  
Previous Literature ◽  
Critical Factors ◽  
Interpretive Structural Modeling ◽  
Modeling Methodology ◽  
Supply Chain Finance

Purpose: The present study aims to identify the critical factors of supply chain finance and the interrelationship between the factors using interpretive structural modeling. Methodology: Factors of supply chain finance were identified from the literature and experts from both industry and academia were consulted to assess the contextual relationships between the factors. Then, we applied interpretive structural modeling to examine the interrelationships between these factors and find out the critical factors. Findings: The model outcome indicates information sharing and workforce to be the most influential factors, followed by the automation of trade and financial attractiveness. Originality/value: Previous literature identified various factors that influence supply chain finance. However, studies showing interrelationships between these factors are lacking. This study is unique in the field as it applies total interpretive structural modeling for assessing the factors that affect supply chain finance. Our model will aid practitioners’ decision-making and the adoption of supply chain finance by providing a necessary framework.

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