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The study aims to present the hybrid approach of multiple MCDM techniques with strategic perspective to assist the vendor ranking process.

Multiple MCDM techniques such as fuzzy QFD, mathematical modelling and ANP (analytical network process) are integrated in the model for vendor ranking. Multiple phases in vendor ranking such as pre‐qualification and final selection are dealt with using the above techniques.

Compared to individual approaches, the proposed hybrid model effectively assists the vendor ranking process. The efficacy of the proposed approach is evident from the case study of an automotive components manufacturer involving 20 vendors comprising pre‐qualification by fuzzy QFD and final selection by ANP. This set of potential vendors is evaluated based on three main criteria and eight sub criteria.

Fuzzy QFD is employed for qualifying supplier to form a supplier pool, as it is helpful in converting qualitative information into quantitative parameters. This data is then combined with other quantitative data to form a mathematical model. The mathematical model is solved by the method of integer programming, using TORA. ANP with BOCR (benefits, opportunities, costs, and risks) is proposed for evaluating and selecting appropriate supplier. ANP model is solved using Super Decision package.

The purpose of this paper is to demonstrate the application of vendor rationalization strategy for streamlining the supplies and manufacturing cycle time reduction in an Indian engineer-to-order (ETO) company. ETO firms are known for a large number of vendors, co-ordination hassles, rework problems and its impact on cycle time and operational excellence.

The research demonstrates the case-based application of Kraljic’s matrix for supply and leverages items, on-the-job observations, field visits, discussions and analysis of supplies reports.

The study guides on the rationalization of supplies and the necessary strategic alignments that can significantly reduce supply risk, costs, manufacturing and delivery cycle time along with co-ordination hassles. The study depicts the challenges of ETO environment with respect to supplies, and demonstrates the effectiveness of vendor rationalization application for the case company and weaknesses of commonly practiced vendor management approaches.

To be competitive, companies should rationalize supply items and vendors based on the nature of items and their subsequent usage by applying Kraljic’s matrix-based classification. The immediate implication of vendor rationalization is misunderstood as reducing supply base, but it does much more and includes review of supplies, nature of items and strategic alignments, leading to win-win situation for company and suppliers.

For the rationalization of supplies, while procuring and dealing with vendors, executives should envisage engineering nature of components, considering cross-functional requirements and integration of components in context to ETO products/projects environments. There is a dearth of studies focusing on vendor rationalization aspects in ETO setups in fast-developing country context.

The concept of sustainable product design (SPD) is gaining significant attention in recent research. However, due to inherent uncertainties associated with new product development and incorporation of multiple qualitative and quantitative criteria; SPD is a complex and challenging task. The purpose of this paper is to introduce a novel approach by integrating quality function deployment (QFD), multi-criteria decision making (MCDM) technique and Six Sigma evaluation for facilitating SPD in the context of Industry 4.0.

The customer requirements are evaluated through the neutrosophic-decision-making trial and evaluation laboratory-analytic network process (DEMATEL-ANP)-based approach followed by utilizing QFD matrix to estimate the weights of the engineering characteristics (EC). The Six Sigma method is then employed to evaluate the alternatives’ design based on the ECs’ values.

The effectiveness of the suggested approach is illustrated through an example. The result indicates that utilization of the neutrosophic MCDM technique with integration of Six Sigma methodology provides a simple, effective and computationally inexpensive method for SPD.

The proposed approach is helpful in upstream evaluation of the product design with limited experimental/numerical data, maintaining a strong competitive position in the market and enhancing customer satisfaction.

This work provides a novel approach to objectively quantify performance of SPD under the paradigm of Industry 4.0 using the integration of QFD-based hybrid MCDM with Six Sigma method.

This paper aims to address the supplier selection (SS) problem under dynamic business environments to optimize the procurement cost of spare-parts in the context of a mining equipment company (MEC). Practically, involved parameters’ value does not remain constant as planning periods due to fluctuation in the demand and their market dynamics. Therefore, dynamicity in the parameter is considered as an important factor when a company forms a responsive chain through most eligible suppliers with respect to planning periods. This area of study may be considered for their complexities to the approaches toward order-allocations with bi-products of unused and repair spare-parts.

An integrated methodology of analytic hierarchy process (AHP) and mixed-integer non-linear programming (MILP) is implemented in the two stages during each planning periods. In the first stage, AHP is used to obtain the relative weights with respect to each spare-parts of each criterion and based on that, the ranking is evaluated in accordance with case considered. And in the second stage, MILP is formulated to find the allocations of each spare-part with two distinct approaches through Model-1 and Model-2 separately. Moreover, Model-1 and Model-2 are outlined based on the ranking and efficient parameters-value under cost, limited capacities, quality level and delay lead time respectively.

The ranking and their optimal order-allocation of potential suppliers are obtained during consecutive planning periods for both unused and repair spare-parts. Subsequently, sensitivity analysis is conducted to deduce the key nuggets with the comparison of Model-1 and Model-2 in the changing of capacity, demand and cost per spare-parts. From this analysis, it is found that suppliers who have optimal parameter settings would be better for order-allocations than ranking during the changing planning period.

This paper points out the situation-specific approach for SS problem for a mining industry which often faces disruptive supplying environments. The managerial implication between ranking and parameters are highlighted through Model-1 and Model-2 by sensitivity analysis.

It provides useful directions for managers who are involved in the procurement of spare-parts in the mining environment. For this, suppliers are selected for order-allocation by using Model-1 and Model-2 in the dynamic business environment. The solvability of the model is presented using LINGO 17. Furthermore, the case company selected in this study can be extended to other sectors.

Small organizations within profit maximization supply chains form industrial clusters to share resources. They mainly deliver products and services in a reactive manner, where the cluster is only facilitating. However, the cluster management can lead business development and assign work packages intelligently to appropriate cluster members by respecting collaboration and innovation. This upgrade of the cluster management requires a systematic approach. Therefore, the intelligent Cluster Assignment Tool concept is developed and an illustrative example is given. The paper aims to discuss these issues.

Interviews and workshops were used to isolate the hierarchy of the assignment model, supported by a literature research. Fuzzy analytic hierarchy process method was applied to determine weights, consolidating data delivered by members of a Turkish aviation and defence cluster. The approach was discussed at the IEEE 2016 ICE Conference in Norway with experts to assess regional restrictions.

Cluster members are actively looking for possibilities to enhance innovation potential that they are ready to participate in systematic approaches. Cluster organizations can differ by leading their members actively, when respecting all isolated dimensions of assignment. This can lead towards a cooperation base enhancing the potential for innovation and new product development (NPD).

The illustrative example indicates a good fit to clusters without a dominant anchor firm. The generic framework was deliberated on cross-sectional perspective as satisfactory to be applied to different sectors in developing economies.

This paper helps clusters and small organizations to upgrade for innovation. Furthermore, it delivers a strategic tool supporting organizational transformation, preventing the price trap as well.

This approach is focussing on multi-criteria assignment across cluster members, upgrading it to a united organization. It delivers a strategic framework for cluster management, building a collaboration environment leading to innovation and NPD.

In order to improve the supply chain performance, organizations need to improve the efficiency of vendors. Although many techniques are used for vendor efficiency measurement, there is a lack of research about defining satisficing level to analyze improvement potential of vendors. The purpose of this paper is to incorporate satisficing level of some outputs to determine efficiency improvement potential of existing vendors.

Method used in this paper is an extension of Data Envelopment Analysis, which has been used frequently for efficiency measurement of Decision Making Units. This method is known as Efficiency Analysis Technique with Output Satisficing (EATWOS), which has been mainly used in the field of economics for efficiency measurement.

A case illustration of a National Capital Region of Delhi, India, based manufacturer and distributor of packaged drinking water is depicted to portray the practical application of EATWOS in vendor efficiency evaluation and their relative ranking. This method has helped in evaluating the improvement potential in performance of given vendors and helping in strategic decision making for the given organization

In case of more variables, this method becomes more complex to get the solution. Second, sometimes difference in vendors ranking without and with satisficing concept is very less, as in this case. Therefore, recording and analysis of output data of vendors should be done very carefully.

Major implications of this study is that while selecting vendors, organizations should also try to understand improvement potential for given vendors by applying satisficing concept as given in this research. This approach helps in analyzing improvement potentials of suppliers.

This paper explores an innovative approach to rank vendors on basis of certain criteria after considering the satisficing concept and improvement potentials of vendors.

Lean business ideology has been one of the recent dominant research areas in operations management. However, there is a dearth of research focusing on Lean in small- and medium-sized enterprises (SMEs). The purpose of this paper is to fill this gap by systematically reviewing the literature in relation to the implementation of Lean in SMEs.

Tranfield et al.’s (2003) systematic review methodology was employed covering three stages: planning, conducting and reporting/dissemination.

A descriptive analysis of the papers reviewed is provided. From the thematic analysis of the literature four main themes are identified: the scope/type of Lean being adopted by SMEs, how Lean is used in SMEs, the impact of Lean implementation on SMEs and the critical success factors for Lean implementation in SMEs. Key inhibitors and enablers related to firm size when implementing Lean are also identified in the concluding discussion.

Nine recommendations for future research are developed associated with Lean implementation in SMEs.

The authors suggest SMEs to integrate organisational factors such as employee empowerment and the development of a supportive strategy into their Lean implementation plans. A preliminary “Staircase Road Map” to guide SMEs in implementing Lean is also developed.

This paper goes beyond previous literature reviews of Lean by systematically and critically evaluating key themes of Lean implementation within an SME environment. It not only provides a road map for SME owners/managers who intend to implement Lean, but also provides the academic community with an agenda for future research.

The purpose of this paper is to investigate and develop a framework of the performance evaluation of tourism supply chain management (SCM) for the case of Thailand.

The performance measurement of tourism SCM was based upon the eight dimensions of service performance, namely order process management (OPM), supplier relationship management (SRM), service performance management (SPM), capacity and resources management, customer relationship management, demand management (DM), information and technology management, tour finance supply chain. Data were collected from 195 samples of experts of each component of the supply chain to identify the weight pairwise and criteria on each tourism component. The study also adopted analytical hierarchy process (AHP) technique to rank the dimensions of service performance for searching the suitable performance measurement.

The results showed that there are both similarities and differences in each tier. Among the eight dimensions subject to this measurement, OPM, SPM and SRM are ranked as 1, 2 and 3, respectively, in tourism supply chain.

One limitation should be considered. As the results of this performance measurement are drawn from sole perspectives of the tourism-business operators, these are probably different from those of the tourists.

The contribution of this study is another effective performance measurement which is expected to benefit the evaluation of tourism supply chain for Thai tourism industry.

Hospital activities restore health and save lives; yet they produce infectious waste that might harm people and the environment if not handled carefully. The sudden increase in bio-medical waste (BMW) generation was caused due to the outbreak of Coronavirus disease (COVID-19) at the beginning of year 2020. There is a huge potential of businesses from BMW generated in the developing economies. The document destruction process would prove to be beneficial in determining the strategies and policies for the business from BMW. Therefore, the purpose of this study was to identify and evaluate the factors that influence the business prospects from BMW in developing economies.

The study focuses on identifying 18 factors based on an extensive literature review, questionnaire, theoretical foundations and interviews with experts in the context of developing economies. These factors are categorized into four groups namely “Culture, education and microeconomics”, “Infrastructure, social provision, and technology”, “Policy and institution” and “Integrated waste management system”. Consequently, these factors are prioritized to assist the decision-maker in comprehending the most critical aspects of accomplishing the best business practices. A framework based on the Best–Worst Method (BWM) is applied to evaluate and determine the significance of each identified factor.

The major contribution of this paper is to identify key factors that are responsible for successful implementation of the business practices from the generated BMW. The study also explains their nature, significance and inter-relationship among them using BWM. Current study applied a distinctive modeling approach to examine the contextual relationship among the key factors and to rank them as per their importance. The findings of the study suggest that “Setup for collection and segregation is the best alternative for business from BMW produced”.

The paper also presents strategies, which can be adopted as a guiding step by the decision-makers to formulate policies for the effective business practice from BMW. This research is expected to stimulate future applications of the BWM to facilitate long-term decision-making.

This study aims to analyze how Indian management practices have influenced the international management research agenda. International interest in India as a business destination has been growing since the Indian policy-makers began opening up the economy in 1991. India’s continuing economic development and integration with global economy has led to a reassessment of its political, social and commercial relevance by the international community.

The authors choose four management disciplines and examine 40 peer-reviewed international journals for research related to India over the period 1991-2014. From the sample of 217 papers, the authors identify the trends, themes and motivations, and discuss the potential for future research.

The authors find that research on India remains flat for the 1991-2000 decade, and starts growing from 2005 onwards. Organizational behavior remains non-participative in the overall growth of research. The authors find very low levels of qualitative research, and none on endogenous phenomena that have been tested for applicability in non-Indian contexts. Marketing research remains mainly peripheral to Indian contexts. Review of highly cited papers reveals that management research on India is at an early stage, and offers fairly significant opportunities for future researchers.

Normal limitations of sample-based literature review apply. Further, the literature search is limited to a select set of highly ranked journals.

Studies analyzing themes related to Indian contexts in international publications are sparse. To the best of authors’ knowledge, no study of this nature exists in literature. This study makes a primary contribution for future management researchers across the four areas by informing on the research trends, journal outlets, and the characteristics of the research agenda.