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Article
Publication date: 12 December 2017

Hadi Balouei Jamkhaneh, Abdol Hamid Safaei Ghadikolaei, Mehrdad Madhoushi and Mahmood Yahyazadehfar

The purpose of this study was to identify the excellence criteria of services supply chain (SSC) in Iran and the relationship between them and the importance of each criterion.

Abstract

Purpose

The purpose of this study was to identify the excellence criteria of services supply chain (SSC) in Iran and the relationship between them and the importance of each criterion.

Design/methodology/approach

In this paper, after reviewing the principles and evaluating models of SSCs, using the fuzzy Delphi method, the criteria for excellence in the supply chain processes were identified. Then, the relationships between these criteria and their significance were evaluated using decision-making trial and evaluation laboratory (DEMATEL) and DEMATEL-based analytic network process methods.

Findings

The results show that 19 evaluation criteria have been identified in Iran in accordance with the SSC process. These criteria were classified according to their nature and based on the Deming Excellence Model and ISO 9004 standards in four areas: Plan, Do, Check and Act. In addition, the Act dimension with the weight of 0.275 has the highest importance and the Plan dimension with the weight of 0.219 has the lowest importance.

Practical implications

This study attempted to identify appropriate criteria for SSC processes in management consulting firms by examining supply chain assessment models to provide the managers with the right understanding of this industry for performance assessment so that they have a better knowledge of supply chain processes.

Originality/value

The results will be useful for managers to understand the SSC and the ways of SSC excellence in a service organization. This research is a first step for evaluating SSC performance of management consultancy institutes. In fact, after the identification of SSC processes and evaluation criteria, designing a mechanism for the evaluation of the performance of SSCs can be a subject for future research.

Details

Journal of Science and Technology Policy Management, vol. 9 no. 1
Type: Research Article
ISSN: 2053-4620

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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: 3 December 2019

Akbar Rahimi, Abbas Raad, Akbar Alem Tabriz and Alireza Motameni

Nowadays, the defense industry is considered a significant part of the manufacturing industries. Military products in the world have a high level of diversity, delivery…

Abstract

Purpose

Nowadays, the defense industry is considered a significant part of the manufacturing industries. Military products in the world have a high level of diversity, delivery speed and appropriative operational functionality. Therefore, various producing, high quality and high-speed delivery of military products are of great importance in enhancing Iran’s defensive power. Defense industries’ supply chain agility is a response to how to produce military products with these features. Therefore, the purpose of this paper is to provide a model for the agile supply chain of defense industries to show the relationship between agile practices and their hierarchy.

Design/methodology/approach

First, the authors identify the most important supply chain agility practices by expert’s questionnaire. Then, using factor analysis, practices are categorized and validated based on structural equation modeling (SEM). SEM showed a meaningful relationship between agile supply chain practices. Finally, using interpretative structural modeling, a model is presented to show the logical relationships and hierarchy between these practices.

Findings

The results show that out of a total of 62 practices introduced in the previous research for the agile supply chain, 37 practices in the agility of the supply chain of defense industries are effective. The 4 new agility practices were identified in this research. These 41 practices were classified into 8 categories including supplier relationship, workshop level management, organizational structure improvement, human resource management, product designing, improve and integrate the process, application of information technology and customer relationship. Improvement of organizational structure was at the highest level of the model. Therefore, managers first should focus on it.

Research limitations/implications

Given the confidentiality of information in the defense industry, the distribution of questionnaires and their collection was one of the most important limitations. A variety of defense products in land, air and sea areas, and a large number of industries in each sector, forced the authors to select the only land area. Although the results of this research can be used in the air and sea areas, but cannot be said that the implementation of this study presented model will fully lead to the defense industries’ supply chain agility in air and sea sectors.

Originality/value

This is the first research on the supply chain agility of Iran’s defense industry that bridges the gap between theory and practice. The classification of 41 practices in the form of 8 measures and examining the relationship between them is a new and practical approach for understanding the relationships between different variables that affect supply chain agility. This study introduces four new agility practices including the use of new technology and equipment, human resource balance, the use of expert human resources, training and employee empowerment, which can be considered in many industries of developing or less developed countries. Considering the specific situation of defense industry supply chain in comparison with other industries, the results of this research can be used by other defense industries of similar countries.

Details

Journal of Modelling in Management, vol. 15 no. 2
Type: Research Article
ISSN: 1746-5664

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Article
Publication date: 29 November 2018

Srikanta Routroy, Aayush Bhardwaj, Satyendra Kumar Sharma and Bijay Kumar Rout

The purpose of this paper is to evaluate the agility performance level of manufacturing supply chains using Taguchi loss functions (TLFs) and design of experiment (DoE).

Abstract

Purpose

The purpose of this paper is to evaluate the agility performance level of manufacturing supply chains using Taguchi loss functions (TLFs) and design of experiment (DoE).

Design/methodology/approach

The proposed methodology is used for capturing the various agility losses using appropriate TLFs and the aggregated agility loss is calculated at different situations using DoE. The aggregated agility loss is analysed for comparing manufacturing supply chain agility performance.

Findings

The proposed methodology was applied to three Indian auto component supply chains, i.e. X, Y and Z. In total, 27 experiments were carried out using DoE and obtained results show that agility performance level is the highest for X followed by Z, whereas agility performance level is the least for Y.

Research limitations/implications

The proposed methodology is generic in nature and can be applied to a specific environment for comparing performance of different supply chains. The user has to identify the relevant agility enablers and capture the appropriate TLFs for the specific environment in which agility performance level has to be calculated and compared.

Practical implications

The proposed methodology provides an effective approach for evaluating agility performance. It can be used by the supply chain manger to assess the supply chain agility performance level of own company with its competitors. These comparisons will help the manufacturing company to find the areas where it should focus.

Originality/value

Many studies and researches related to implementation and evaluation of agile manufacturing are reported in the literature but very few studies are available for evaluating the supply chain agility performance. This study will definitely provide a guideline for measuring and comparing manufacturing supply chain agility performance in general and Indian automotive supply chain in specific.

Details

Benchmarking: An International Journal, vol. 25 no. 8
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 6 April 2021

Ramji Nagariya, Divesh Kumar and Ishwar Kumar

Increasing pressure from the stakeholders makes the inclusion and evaluation of sustainable practices in the service supply chain (SSC) inevitable. Therefore, this paper…

Abstract

Purpose

Increasing pressure from the stakeholders makes the inclusion and evaluation of sustainable practices in the service supply chain (SSC) inevitable. Therefore, this paper aims to evaluate the sustainability status of a case organization and discover the barrier to sustainability in the SSC.

Design/methodology/approach

From the literature review, five sustainability dimensions, seventeen attributes and sixty-five subattributes of the SSC are identified. A three-level conceptual model drawn on human perception is developed. The overall sustainability status of the SSC is determined by using the multigrade fuzzy logic approach. The fuzzy concept incorporated helps in overcoming the challenges of vagueness and impreciseness in the responses. The case SSC is a WestIndia–based hospital.

Findings

The study evaluates the case hospital to be “very sustainable” but far from the “extremely sustainable” level. Six barriers are identified which are reduction in solid waste, compliance with applicable environmental laws and regulations, water usage efficiency, training and education of employees, return on investment and safety equipment for employees. These barriers hinder the hospital from achieving an “extremely sustainable” level.

Practical implications

This paper evaluates, helps the management in identifying the barriers and thus enabling them to work upon these barriers and achieve a greater level of sustainability.

Originality/value

The sustainability practices adopted in this paper for the evaluation of the sustainability status of the SSC have not been used in previous studies. In this study apart from environmental, social and economic aspects, customer management and health, safety and risk management are also incorporated for evaluating the performance of the SSC which makes this study unique. The proposed model can be taken as a benchmark for evaluating the sustainability performance of any SSC.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 29 November 2018

V. Viswanath Shenoi, T.N. Srikantha Dath, C. Rajendran and P. Shahabudeen

The purpose of this paper is to provide strategic recommendations to supply chain managers of Indian manufacturing industries for a robust supply chain related to risk…

Abstract

Purpose

The purpose of this paper is to provide strategic recommendations to supply chain managers of Indian manufacturing industries for a robust supply chain related to risk management by original equipment manufacturers (OEMs) and suppliers in manufacturing industries to ensure a robust supply chain risk management (SCRM).

Design/methodology/approach

Importance-performance analysis (IPA) is utilized to identify and provide strategic recommendations to manufacturing industries for improving their supply chain performance by attaching due importance to risk constructs and appropriately choosing mitigation strategies.

Findings

The investigation using the strategic action grids reveals that most of the means of risks are near the point of intersection of the grand means of the risk constructs and their impact on the supply chain, indicating that all the risks have the equal likelihood of occurrence. The mean importance of risk monitoring, risk avoidance (RA) and risk sharing surpass the mean performance for both OEMs and suppliers.

Research limitations/implications

The study is executed with following limitations: the study assumes that the manufacturing industries across different sectors perceive similar risk. The sectors considered are automotive, heavy engineering, general engineering and home appliances. The Southern States of India are considered because of the dominant presence of many industries, especially automotive industries. However, it should be noted that these States form the manufacturing hubs where the lead organizations are functioning along with their major suppliers.

Practical implications

By understanding the importance of SCRM dimensions and utilization of these dimensions, firms can mitigate the impact of risk on the supply chain. The detailed study of SCRM strategies highlights the importance attached to risk factors, mitigation strategies, and top management commitment. By the implementation of SCRM strategies, supply chain managers can improve the firm’s performance.

Originality/value

The study involves empirically validated data on SCRM dimensions. The IPA is performed on the SCRM dimensions to investigate the importance attached to the factors of the dimensions and their performance.

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Article
Publication date: 18 May 2015

Srikanta Routroy, Pavan Kumar Potdar and Arjun Shankar

– The purpose of this paper is to determine the agility level of a manufacturing system along different timelines.

Abstract

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.

Details

Measuring Business Excellence, vol. 19 no. 2
Type: Research Article
ISSN: 1368-3047

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Article
Publication date: 6 March 2017

C.V. Sunil Kumar and Srikanta Routroy

The purpose of this paper is to provide an approach that a manufacturer can periodically use to measure the performances of its supplier development programs (SDPs). It…

Abstract

Purpose

The purpose of this paper is to provide an approach that a manufacturer can periodically use to measure the performances of its supplier development programs (SDPs). It also quantifies and indicates the specific supplier development outcomes (SDOs) that a manufacturer has to concentrate in improving its SDPs.

Design/methodology/approach

The proposed methodology integrates fuzzy analytic hierarchy process (to determine the importance of SDOs), Pareto analysis (to choose the significant SDOs) and fuzzy logic (to periodically determine the performance indices and grades of the SDPs) methods to measure the performances of SDPs. In order to demonstrate the utility of the methodology, a case situation is presented where the performance measures of SDPs running at five key suppliers of an Indian turbine manufacturing company were determined.

Findings

By periodically applying the above mentioned methodology, the performance indices of a manufacturer’s SDPs are measured, monitored and managed effectively. It is shown that the methodology is advantageous in clearly indicating the scope of improvement for the SDPs along the specific SDOs.

Research limitations/implications

Since the obtained results in this study are specific to a manufacturing environment, they may not be generalized. However, the generic lists of SDOs mentioned in the paper and the proposed approach can be used in any manufacturing environment for analyzing the performances of SDPs.

Practical implications

The performance analysis of SDPs would help a manufacturer to know more about the functioning of its SDPs along the timeline and provide the scope for improvement.

Originality/value

The proposed approach successfully measures and also grades the performances of SDPs. The results enable the supplier development managers to effectively distribute their investments and efforts along the SDPs.

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Article
Publication date: 9 March 2020

M. Suresh, V. Vaishnavi and Rajesh D. Pai

Lean practices are one of the fundamental practices adopted by health-care organizations to improve service quality and to reduce cost. In this context, the measurement of…

Abstract

Purpose

Lean practices are one of the fundamental practices adopted by health-care organizations to improve service quality and to reduce cost. In this context, the measurement of leanness in health-care organizations has become imperative. The purpose of this study is to measure the leanness of a hospital using fuzzy logic.

Design/methodology/approach

The design of the research includes two major steps. First, the identification of enablers, criteria and attributes of leanness constitutes the measures of assessment. Second, the above measures in the case hospital are assessed by using fuzzy logic approach.

Findings

This study suggests that leanness assessment is essential to identify the current lean capability of a health-care organization. This would help the health-care organizations to improve their lean performance further. The findings of the study suggest that the leanness of the case hospital is “Lean” (fuzzy range: 5.61, 7.24 and 8.91).

Practical implications

This study brings in three important implications from managerial point of view. First, it helps the management to assess the current level of leanness of the hospital. Second, it identifies the attributes that prevent the organization from being more lean. Third, it provides suggestive measures to address the weaker attributes and enables the enhancement of lean performance further.

Originality/value

The leanness assessment framework developed in the hospital operations is found to be original, and it adds value to the leanness assessment in health-care operations.

Details

International Journal of Organizational Analysis, vol. 28 no. 6
Type: Research Article
ISSN: 1934-8835

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Article
Publication date: 14 November 2016

Sunil Kumar C.V. and Srikanta Routroy

The purpose of this paper is to assist a manufacturer with a process to measure the level of preferred supplier status (PSS) of its key suppliers along the timeline.

Abstract

Purpose

The purpose of this paper is to assist a manufacturer with a process to measure the level of preferred supplier status (PSS) of its key suppliers along the timeline.

Design/methodology/approach

In measuring the PSS, the prominent preferred supplier enablers (PSEs) were identified and were broadly categorized under manufacturer’s interest component, common interest component and supplier’s characteristic component. These PSEs were further analyzed by using fuzzy analytic hierarchy process, Euclidean distance measurement and grey relation analysis methods. In order to demonstrate the application and utility of the proposed approach, a case study conducted in an Indian automotive component manufacturing company has been presented.

Findings

By applying the proposed methodology in a case company, the PSSs of five of its key suppliers were measured and then the suppliers’ characteristic scores were determined. Based on these scores, a preferential status plot of the suppliers was developed. Through the status plot, the manufacturer was suggested with whom the proposed initiatives can be productive and with whom the manufacturer has to appeal for improvement strategies.

Research limitations/implications

Since the methodology was tried in the Indian manufacturing environment, the emphasis laid on the PSEs and in turn the measurement of PSS may not address the concern at large.

Practical implications

Measuring PSS would not only earn competitive advantages for the manufacturers but also facilitate the evolution of competitive suppliers.

Originality/value

Measuring PSS along the time would assist a manufacturer to effectively manage the preferences given to its suppliers and thereby enhance the supply base contribution in the value addition process.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 28 no. 5
Type: Research Article
ISSN: 1355-5855

Keywords

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