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PurposeThe purpose of this paper is to identify and evaluate the critical success factors (CSFs) responsible for supplier development (SD) in a manufacturing supply chain environment.Design/methodology/approachIn total, 13 CSFs for SD are identified (i.e. long‐term strategic goal; top management commitment; incentives; supplier's supplier condition; proximity to manufacturing base; supplier certification; innovation capability; information sharing; environmental readiness; external environment; project completion experience; supplier status and direct involvement) through extensive literature review and discussion held with managers/engineers in different Indian manufacturing companies. A fuzzy analytic hierarchy process (FAHP) is proposed and developed to evaluate the degree of impact of each CSF on SD.FindingsThe degree of impact for each CSF on SD is established for an Indian company. The results are discussed in detail with managerial implications. The long‐term strategic goal is found to be the most significant CSF for successful SD implementation.Research limitations/implicationsThis study has not been statistically validated in a manufacturing supply chain environment for complete acceptability.Practical implicationsThe simplicity and clarity of the proposed approach enhances its acceptability for evaluating CSFs in manufacturing supply chain environment. It also provides the direction for optimally allocating the efforts and resources for successful implementation of SD in short duration.Originality/valueAlthough both CSFs and SD have been widely researched, but no study has been reported in the literature to prioritize and rank the CSFs of SD in an Indian manufacturing environment. The paper contributes to research in the supply chain management area in general and SD in particular for manufacturing environment. The proposed approach has the ability to capture the judgment of multiple experts to prioritize and rank CSFs for SD.

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.

Purpose Agile manufacturing (AM) has evolved as a revolutionary way of manufacturing the products while managing the uncertainties, product introduction time, responsiveness, innovation, superior quality, etc. along the supply chain to satisfy the ever increasing customer demand and to maximize the profit. The purpose of this paper is to critically analyze the literature related to various dimensions of AM and to report the findings. Design/methodology/approach This paper presents the reviews of 300 scholarly articles from 1993 to 2016 by various researchers and practitioners on AM collected from different sources, i.e. Google Scholar and ResearchGate. The information related to AM is also captured during industrial visits to different Indian manufacturing plants. Findings AM definitions are reported along divergent scopes and objectives in the literature. The researchers have given importance on performance measurement and process analysis through empirical and descriptive analysis whereas its implementation issues are neglected. It is also observed that the effort made on AM is significant for manufacturing industries which is overlooked in service industries. Practical implications This literature review has identified many research gaps in AM which were not paid attention before. Researchers can address these research gaps for strengthening the AM implementation. Originality/value In total, 300 research papers are reviewed and analyzed to capture the various aspects of AM and its related issues but not restricted to research methodologies, author profiles, types of industries, tools/techniques/methodology used, etc.

Purpose – The purpose of this paper is to determine the agility level of a manufacturing system along different timelines. Design/methodology/approach – The fuzzy synthetic extents of agile manufacturing enablers (AMEs), on the basis of their importance, are determined. Then they are integrated with their performance ratings along different timeline for calculating the Fuzzy Agile Manufacturing Index (FAMI). Euclidean distances of FAMI from predetermined agility levels are mapped to determine the agility level of the manufacturing system along different timeline. Findings – The proposed methodology was implemented in an Indian manufacturing organization to determine its agility level. It was concluded from the obtained results that there was significant improvement in the agility level along the timeline. Research limitations/implications – The weights of the AMEs are assumed to be constant along the timeline. Practical implications – The supply chain mangers can easily apply this methodology in their respective manufacturing organizations to assess and determine the agility level. This proposed approach will show the direction to check the performance of agility and evaluate the evolution of agility in their respective manufacturing organizations. Originality/value – The combination of fuzzy synthetic extent of weights and average fuzzy performance ratings of AMEs to calculate the FAMI along the timeline considering judgments of multiple experts is a unique contribution.