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Article
Publication date: 6 March 2017

Bharat Singh Patel, Cherian Samuel and S.K. Sharma

The purpose of this paper is to report a case study carried out to assess the agility and identify obstacles to agility in a supply chain. A human perception-based…

Abstract

Purpose

The purpose of this paper is to report a case study carried out to assess the agility and identify obstacles to agility in a supply chain. A human perception-based framework is used for the calculation of agility. The case study was carried out in a North India-based manufacturing organization.

Design/methodology/approach

In this study, the concept of a multi-grade fuzzy logic approach is used. Using this concept, the overall agility index has been determined. The fuzzy logic approach has been used to overcome the disadvantages such as impreciseness and vagueness using a scoring method.

Findings

From the analysis, it is observed that the organization on which the study was performed is “very agile.” After evaluating the agility level, the fuzzy performance importance index is calculated, which helps to identify the barriers of agility in the supply chain. These barriers help decision makers to implement appropriate improvement measures for improving agility level. Overall, 11 barriers were identified in the study.

Research limitations/implications

Managers of the contemporary manufacturing organization have to measure the agility level of the organization and identify barriers to agility in order to survive in a competitive environment. The obstacles identified in this study are used to improve the performance of the organization. The enterprise should improve on the weak areas in order to achieve the highest agility level.

Originality/value

The agile supply chain (ASC) enablers proposed by previous researchers are not sufficient for the evaluation of agility of a supply chain. There are a few more ASC enablers such as customer satisfaction, flexibility and adaptability that also play a vital role in making a supply chain agile. Adding these three ASC enablers, a total of seven ASC enablers along with their attributes are being considered for the development of a conceptual model.

Details

Journal of Manufacturing Technology Management, vol. 28 no. 2
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 1 July 2006

H.S. Ismail and H. Sharifi

Parallel developments in the areas of agile systems and manufacturing, and supply chain management led to the introduction of the agile supply chains (ASC) concept. How to…

Abstract

Purpose

Parallel developments in the areas of agile systems and manufacturing, and supply chain management led to the introduction of the agile supply chains (ASC) concept. How to achieve agility in supply chain is, however, a subject of question and research. This paper proposes a framework for the development of ASC that is based on the integration of existing supply chain analysis and development models and techniques with those of the supply chain design (SCD) and also the design for the supply chain (DfSC).

Design/methodology/approach

The framework mainly relies on research previously carried out by the authors in the areas of developing agile manufacturing and systems and models for demand network alignment. An extensive literature survey is carried out to support the ideas and derive the constructs of the conceptual model as a basis for further empirical research.

Findings

The model suggest that responding proactively to the market and business environment changes, agility, can be facilitated by simultaneous development of supply chain and the output/product of the chain. The concept of DfSC, built on the success of existing “design for X” techniques, would increase the reactive and proactive capabilities of organisations.

Originality/value

The research provides a theoretical ground for achieving ASC which facilitates reconciliation between two usually separately approaches of SCD and DfSC, as well as suggesting practical solutions for developing agility in supply chains. This view can make the ASC concept understandable and practical, and open a new way of viewing the subject in research circles.

Details

International Journal of Physical Distribution & Logistics Management, vol. 36 no. 6
Type: Research Article
ISSN: 0960-0035

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Article
Publication date: 14 May 2020

Sibel Yildiz Çankaya

This study aims to examine the effects of strategic sourcing (SS) on lean supply chain (LSC) and agile supply chain (ASC) strategies and investigate the role of these…

Abstract

Purpose

This study aims to examine the effects of strategic sourcing (SS) on lean supply chain (LSC) and agile supply chain (ASC) strategies and investigate the role of these concepts on development of competitive performance.

Design/methodology/approach

A proposed research model and hypotheses are tested by using cross-sectional e-mail survey data collected from the manufacturing firms operating in Turkey. SS is conceptualized as a second-order factor. Structural equation modeling is used to test the proposed hypotheses.

Findings

This study reached the conclusion that SS affects LSC and ASC strategies positively. Additionally, it is seen that these concepts are effective in improvement of competitive performance.

Practical implications

The results are important in terms of emphasizing the significance of SS in improvement of the lean and agile nature of the supply chain.

Originality/value

This study contributes to the literature by providing empirical evidence regarding the relationships among SS, supply chain strategies and competitive performance.

Research limitations/implications

This study was carried out on the plant level where one person from each organization responded to the survey.

Details

Journal of Global Operations and Strategic Sourcing, vol. 13 no. 2
Type: Research Article
ISSN: 2398-5364

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Article
Publication date: 19 June 2019

Masoud Rahiminezhad Galankashi, Syed Ahmad Helmi, Abd. Rahman Abdul Rahim and Farimah Mokhatab Rafiei

The purpose of this paper is to propose a framework to assess the agility of manufacturing companies.

Abstract

Purpose

The purpose of this paper is to propose a framework to assess the agility of manufacturing companies.

Design/methodology/approach

Particularly, three supply chain logistic drivers (facility, transportation and inventory) along with three cross-functional drivers (information, sourcing and pricing) are selected as the main sets to classify all required activities of agility. In addition, supply chain contracts, as an important indicator of supply chain agility, is also considered to categorize the activities. These activities are ranked using an (AHP) and then categorized based on the major perspectives of agility. Finally, using a cycle view of supply chain, the developed activities are categorized as the major policies of supply chain’s echelons.

Findings

This study developed a framework to evaluate the agility of manufacturing companies. Operational activities of agile supply chain strategy (ASCS) in addition to supply chain contracts are determined and categorized with regard to supply chain drivers.

Originality/value

This study contributes to recognizing, ranking and classifying the operational activities of ASCS with regard to logistics and cross-functional drivers of supply chain. In addition, this study considers the supply chain contracts in conjunction with supply chain drivers. From the theoretic and methodological features, to the best of authors’ knowledge, this study contributes to offer new insights to this area as no similar research has been conducted before.

Details

Benchmarking: An International Journal, vol. 26 no. 7
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 4 April 2016

Ghazal Bargshady, Seyed Mojib Zahraee, Mohammad Ahmadi and Ali Parto

An agile supply chain (ASC) includes companies that are operationally linked to each other, such as supply, design, manufacturing and distribution centers that respond and…

Abstract

Purpose

An agile supply chain (ASC) includes companies that are operationally linked to each other, such as supply, design, manufacturing and distribution centers that respond and react quickly and effectively to change markets. Information systems and technology have a main role in achieving this objective. Therefore, the purpose of this paper is to examine the relationship between information integration, information infrastructure flexibility and the ASC in the Iranian power plant industry (IPPI).

Design/methodology/approach

The quantitative method was employed in this study. Survey questionnaires were sent to 87 managers in the IPPI to examine the relationship between information integration, information infrastructure flexibility, and the ASC.

Findings

The final results indicated that information sharing and responsibility were strongly related with the ASC; accessibility and connectivity had important relations with the ASC; while the relationships between compatibility and adaptableness as IT flexibility variables and ASC were positive but not significant.

Research limitations/implications

This study focussed on the impact of IT on the IPPI specifically companies that manufacture boilers, electronic control tools, turbines, turbine blades, generators and other power plant-related components.

Practical implications

A new research model was developed to assess the impact of the interrelationships among IT capabilities and the ASC and results should assist managers as well as academicians.

Originality/value

An investigation was carried out through this study based on the current situation in IPPI to empirically examine and evaluate the effect of IT integration and flexibility on ASC. Besides, a very limited number of studies have been done on the implementation of information technology in the IPPI.

Details

Journal of Manufacturing Technology Management, vol. 27 no. 3
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 3 October 2016

Chhabi Ram Matawale, Saurav Datta and S.S. Mahapatra

The recent global market trend is seemed enforcing existing manufacturing organizations (as well as service sectors) to improve existing supply chain systems or to take…

Abstract

Purpose

The recent global market trend is seemed enforcing existing manufacturing organizations (as well as service sectors) to improve existing supply chain systems or to take up/adapt advanced manufacturing strategies for being competitive. The concept of the agile supply chain (ASC) has become increasingly important as a means of achieving a competitive edge in highly turbulent business environments. An ASC is a dynamic alliance of member enterprises, the formation of which is likely to introduce velocity, responsiveness, and flexibility into the manufacturing system. In ASC management, supplier/partner selection is a key strategic concern. Apart from traditional supplier/partner selection criteria; different agility-related criteria/attributes need to be taken under consideration while selecting an appropriate supplier in an ASC. The paper aims to discuss these issues.

Design/methodology/approach

Therefore, evaluation and selection of potential supplier in an ASC have become an important multi-criteria decision making problem. Most of the evaluation criteria being subjective in nature; traditional decision-making approaches (mostly dealing with objective data) fail to solve this problem. However, fuzzy set theory appears an important mean to tackle with vague and imprecise data given by the experts. In this work, application potential of the fuzzy multi-level multi-criteria decision making (FMLMCDM) approach proposed by Chu and Velásquez (2009) and Chu and Varma (2012) has been examined and compared to that of Fuzzy-techniques for order preference by similarity to ideal solution (TOPSIS) and Fuzzy-MOORA in the context of supplier selection in ASC.

Findings

It has been observed that similar ranking order appears in FMLMCDM as well as Fuzzy-TOPSIS. In Fuzzy-MOORA, the best alternative appears same as in case of FMLMCDM as well as Fuzzy-TOPSIS; but for other alternatives ranking order differs. A comparative analysis has also been made in view of working principles of FMLMCDM, Fuzzy-TOPSIS as well as Fuzzy-MOORA.

Originality/value

Application feasibility of FMLMCDM approach has been verified in comparison with Fuzzy-TOPSIS and Fuzzy-MOORA in the context of agile supplier selection.

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Article
Publication date: 6 January 2012

Chong Wu and David Barnes

The purpose of this paper is to present a four‐phase dynamic feedback model for supply partner selection in agile supply chains (ASCs). ASCs are commonly used as a…

Abstract

Purpose

The purpose of this paper is to present a four‐phase dynamic feedback model for supply partner selection in agile supply chains (ASCs). ASCs are commonly used as a response to increasingly dynamic markets. However, partner selection in ASCs is inherently more complex and difficult under conditions of uncertainty and ambiguity as supply chains form and re‐form.

Design/methodology/approach

The model draws on both quantitative and qualitative techniques, including the Dempster‐Shafer and optimisation theories, radial basis function artificial neural networks (RBF‐ANN), analytic network process‐mixed integer multi‐objective programming (ANP‐MIMOP), Kraljic's supplier classification matrix and principles of continuous improvement. It incorporates modern computer programming techniques to overcome the information processing difficulties inherent in selecting from amongst large numbers of potential suppliers against multiple criteria in conditions of uncertainty.

Findings

The model enables decision makers to make efficient and effective use of the vastly increased amount of data that is available in today's information‐driven society and it offers a comprehensive, systematic and rigorous approach to a complex problem.

Research limitations/implications

The model has two main drawbacks. First, practitioners may find it difficult to match supplier evaluation criteria with the strategic objectives for an ASC. Second, they may perceive the model to be too complex for use when speed is of the essence.

Originality/value

The main contribution of this paper is that, for the first time, it draws together work from previous articles that have described each of the four stages of the model in detail to present a comprehensive overview of the model.

Details

International Journal of Operations & Production Management, vol. 32 no. 1
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 12 June 2020

Bharat Singh Patel, Cherian Samuel and Goutam Sutar

Agility is the ability of an organization to adjust its supply chain tactics and operations to respond quickly against altering business environments such as fluctuating…

Abstract

Purpose

Agility is the ability of an organization to adjust its supply chain tactics and operations to respond quickly against altering business environments such as fluctuating demand pattern, supply chain disruption and global competition. An agile organization must possess a promising capability of swiftly responding to dynamic conditions while being cost-effective without compromising the efficiency. Such high-performance adaptability necessitates the role of supply chain managers to maximize the agility of the supply chain through the efficient use of input resources. Therefore, the purpose of this study to reveal a new decision support tool that would allow the key decision-makers to maximize the agility of the supply chain while deploying the input resources more effectively.

Design/methodology/approach

In present study, an integrated approach of popular analytic hierarchy process (AHP) and goal programming (GP) has been adopted as a potential solution methodology. AHP has been implemented to allocate the local and global weights to decision variables, whereas GP incorporates the AHP weights into the desired model.

Findings

It was found that the proposed decision support tool restricts the value of the decision variables for maximizing the agility and optimizing the usage of input resources. The results obtained from the model validate the objective of achieving targeted agility level within the available resource limitations.

Research limitations/implications

The decision support tool developed in the proposed study offers a systematic and effectively simple approach to supply chain managers with a goal of identifying the degree of focus under each decision variable in the respective manufacturing organizations.

Originality/value

A novel decision support tool has been developed known as an agility control system), which helps the decision-maker to achieve the required agility in the supply chain by controlling the decision variables.

Details

Journal of Modelling in Management, vol. 15 no. 4
Type: Research Article
ISSN: 1746-5664

Keywords

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Article
Publication date: 3 May 2016

Chhabi Ram Matawale, Saurav Datta and S.S. Mahapatra

The concept of agile supply chain (ASC) has become increasingly important as means of achieving a competitive edge in turbulent business environments. An ASC is a dynamic…

Abstract

Purpose

The concept of agile supply chain (ASC) has become increasingly important as means of achieving a competitive edge in turbulent business environments. An ASC is a dynamic alliance of member enterprises, the adaptation of which is likely to introduce velocity, responsiveness and flexibility into the manufacturing system. In ASC management, supplier/partner selection is a key strategic concern; influenced by various agility-related criteria/attributes. Therefore, evaluation and selection of potential supplier in an ASC has become an important multi-criteria decision-making problem. The purpose of this paper is to report, a supplier selection procedure (module) in the context of ASC.

Design/methodology/approach

During supplier selection, subjectivity of evaluation information (human judgment) often creates conflict and bears some kind of uncertainty. To overcome this, the present work attempts to explore vague set theory to deal with uncertainties in the supplier selection decision-making process. Since, vague sets can provide more accurate information as compared to fuzzy sets. It considers true membership function as well as false membership function which give more superior results for uncertain information. In this procedure, first, linguistic variables have been used to assess appropriateness rating (performance extent) as well as priority weights for individual quantitative or qualitative criterions. Second, the concept of degree of similarity and probability of vague sets has been used to determine appropriate ranking order of the potential supplier alternatives.

Findings

A case empirical example has been provided. It has been proved that the methodology would be fruitful in considering different evaluation criterion (indices); may be contradicting in nature like beneficial and cost criterions. The application of vague set theory has also been proved as a better option to work under uncertain (fuzzy) decision-making environment in comparison to fuzzy set theory.

Originality/value

The application of vague set theory in multi-criteria group decision making has been reported in literature to a limited extent. Application of vague set as a decision-making tool in agile supplier selection appears relative new and unexplored work area. The work has got remarkable managerial implications.

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Article
Publication date: 1 October 2002

Samuel H. Huang, Mohit Uppal and J. Shi

A supply chain consists of suppliers, manufacturers, distributors, and customers, all linked together with a forward flow of material and backward flow of information. It…

Abstract

A supply chain consists of suppliers, manufacturers, distributors, and customers, all linked together with a forward flow of material and backward flow of information. It encompasses all activities associated with the flow and transformation of goods from raw material extraction through end use. Supply chain management is the integration of critical aspects of strategy formulation, marketing, operations, and distribution. A critical aspect of supply chain management is the selection of an appropriate type of supply chain to achieve optimal performance. This paper classifies manufacturing supply chains into three types; namely, lean, agile, and hybrid. The characteristics of these supply chains are presented. It is proposed that the selection of an appropriate type of supply chain should be driven by the characteristic of product an organization is manufacturing. A model is then developed and implemented to assist organizations in supply chain selection.

Details

Supply Chain Management: An International Journal, vol. 7 no. 4
Type: Research Article
ISSN: 1359-8546

Keywords

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