Excellence criteria of services supply chain in management consulting institutes of Iran

2018 ◽  
Vol 9 (1) ◽  
pp. 42-65 ◽  
Author(s):  
Hadi Balouei Jamkhaneh ◽  
Abdol Hamid Safaei Ghadikolaei ◽  
Mehrdad Madhoushi ◽  
Mahmood Yahyazadehfar
Keyword(s):  
Supply Chain ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Future Research ◽  
Management Consulting ◽  
Content Type ◽  
Chain Processes ◽  
Fuzzy Delphi ◽  
Network Process ◽  
The Right

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.

Prioritizing the vaccine supply chain issues of developing countries using an integrated ISM-fuzzy ANP framework

2019 ◽  
Vol 15 (1) ◽  
pp. 112-165 ◽  
Author(s):  
Dheeraj Chandra ◽  
Dinesh Kumar
Keyword(s):  
Developing Countries ◽  
Supply Chain ◽  
Relevant Literature ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Vaccination Programs ◽  
Network Process ◽  
Key Issues

Purpose Delivering vaccines to the children who need them requires a supply chain that is efficient and effective. In most of the developing countries, however, the unknown and unresolved supply chain issues are causing inefficiencies in distributing vaccines. There is, therefore, a great need in such countries to recognize the issues that cause delays in vaccine delivery. With this purpose, the present study aims to identify and analyze the key issues in the supply chain of basic vaccines required to immunize children in developing countries. Design/methodology/approach Based on a field survey of three states of India, in-depth review of relevant literature and experts’ opinions, 25 key issues were recognized as factors of the vaccine supply chain (VSC) and categorized into five main domains. Using integrated interpretive structural modeling and fuzzy analytic network process approaches, the issues have been prioritized to determine their relative importance in the VSC. In addition, a sensitivity analysis has been performed to investigate the priority stability of the issues. Findings The results of the analysis show that among the five domains of VSC issues, the economic domain with a weight of 0.4262 is the most important domain, followed by the management (0.2672), operational (0.2222), environmental (0.0532) and social (0.0312). Research limitations/implications This study focuses on the prioritization of VSC issues; therefore, the results of the present study can provide direction to the decision-makers of immunization programs of developing countries in driving their efforts and resources on eliminating the most important obstacles to design successful vaccination programs. Originality/value To the authors’ knowledge, this paper is first to provide a direction to the decision-makers in identifying and managing important issues through the use of an analytical approach.

Employing fuzzy ANP for ranking the personality of international brands in the sports shoe industry

2018 ◽  
Vol 13 (1) ◽  
pp. 137-155 ◽  
Author(s):  
Javad Khazaei Pool ◽  
S. Mohammad Arabzad ◽  
Sobhan Asian ◽  
Milad Fahimi ◽  
Reza Verij Kazemi
Keyword(s):  
Decision Making ◽  
Academic Research ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Competitive Advantages ◽  
Content Type ◽  
Shoe Industry ◽  
Sport Shoe ◽  
Network Process ◽  
Quantitative Basis

Purpose This paper aims to provide a quantitative basis to analytically determine the ranking of the brand personality of Adidas, Asics, Nike, Puma and Saucony brands among Iranian customers via a conventional multi-criteria decision-making (MCDM) method. Design/methodology/approach Data for determining the importance of evaluation criteria and ranking of brands are gathered by means of distributing questionnaires among a group of Iranian customers of sport shoes, as well as some industrial experts. The fuzzy analytic network process (FANP) was used to rank the brands with regard to dependencies between criteria and alternatives. Findings The results indicate that FANP is a capable method which provides invaluable insights for strategic marketing decisions in the sport product industry. Results show Adidas has the best performance in the sports shoe market compared to the other four brands. In this study, it was found that expertise sophistication was the most important criterion among Aaker’s five main criteria. Originality/value The value of this paper is applying FANP decision-making method for ranking sport shoe brands. This method has not been commonly used in the area of marketing, hence it is added to the pool of techniques used in ranking brands. In addition, evaluation and ranking of brands can be very useful for both academic research and practice. Researchers can benchmark the competences of each brand through evaluating them, and industrialists can extract the competitive advantages of the selected brands.

scholarly journals A Warehouse Social and Environmental Performance Metrics Framework

2020 ◽  
Vol 32 (4) ◽  
pp. 513-526
Author(s):  
Patricija Bajec ◽  
Danijela Tuljak-Suban ◽  
Ivona Bajor
Keyword(s):  
Supply Chain ◽  
Performance Metrics ◽  
Social Performance ◽  
Methodological Approach ◽  
Analytic Network Process ◽  
Performance Measurement System ◽  
Analytic Hierarchy ◽  
Fuzzy Delphi ◽  
Network Process ◽  
Social And Environmental Performance

To improve the supply chain performance in all three aspects of sustainability (social, economic, and environmental), a comprehensive sustainable performance measurement system that captures all the supply chain partners’ efforts and commitments is required. Warehouse, as the second largest logistics source of environmental pollution in the supply chain has been almost completely overlooked and ignored in the past studies. To fill this gap, a warehouse performance metrics framework for environmental and social performance measures was proposed using a novel Fuzzy Delphi and Best-worst methodological approach. The method is less time-consuming than the Analytic Hierarchy Process or Analytic Network Process, it does not address whether criteria are dependent or independent, requires fewer comparisons of criteria, but still produces reliable and credible results. The presented framework consists of 32 equally formulated environmental and social performance indicators, including formulas and measurement units. The 14 most important indicators are ranked according to the requirements of different stakeholders.

Assessment of supplier quality performance of computer manufacturing industry by using ANP and DEMATEL

2015 ◽  
Vol 27 (1) ◽  
pp. 122-134 ◽  
Author(s):  
Hsiu Yuan Hu ◽  
Shao-I Chiu ◽  
Tieh-Min Yen ◽  
Ching-Chan Cheng
Keyword(s):  
Manufacturing Industry ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Integrated Model ◽  
Performance Rating ◽  
Quality Performance ◽  
Content Type ◽  
Network Process ◽  
Relationship Of ◽  
The Impact

Purpose – The purpose of this paper is to establish an integrated model of Analytic Network Process (ANP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL), to assist enterprises to process supplier quality performance rating and comparison and find the core improvement direction to create the value of all supply chain members. Design/methodology/approach – This study used the integrated model to process supplier quality performance rating and comparison, which not only improved the order-winners and qualifiers and continued to increase supplier quality performance, but resolved the complex and difficult cause-effect relation issue to find out core improvement items. The cases of Taiwanese industrial computer manufacturers were used to describe the application and benefits of this methodology. Findings – The results recommended that the improvement item of supplier A shall focus on design and quality conformance. The recommended improvement item and order for supplier B is design, delivery reliability and delivery speed. This study established ANP and DEMATEL evaluation models, and expanded the application field in the supplier performance evaluation. Originality/value – The ANP model is used to calculate the importance of the evaluation criteria, and the DEMATEL method is introduced to consider the impact of the casual relationship of evaluation items and to adjust the importance of the evaluation item, and to solve the complex and difficult practical causation issue.

Supply chain talent: the missing link in supply chain strategy

2015 ◽  
Vol 47 (5) ◽  
pp. 257-264 ◽  
Author(s):  
Rameshwar Dubey ◽  
Angappa Gunasekaran
Keyword(s):  
Supply Chain ◽  
Cost Effective ◽  
Management Program ◽  
Future Research ◽  
Content Type ◽  
Supply Chain Strategy ◽  
Current State ◽  
Effective Manner ◽  
Future Supply ◽  
The Right

Purpose – The purpose of this paper is to build a supply chain talent framework and test it empirically. Design/methodology/approach – The present study adopts extant literature to understand current state of supply chain talent literature and used knowledge and skill constructs and their items from comprehensive literature review to develop an instrument to gather data. The data are further checked for assumptions and further examines the framework using confirmatory factor analysis. Findings – The findings support previous studies and establishes that knowledge-skill framework is scientifically a strong framework which can help to build current supply chain competencies among future supply chain managers. Research limitations/implications – This study considers only a limited number of variables that define the supply chain talent. The framework can be further developed and extended to different industries and countries. Practical implications – The study identifies knowledge-skill framework which can help to develop a training module for current or aspiring supply chain managers. It also can provide significant input to design university supply chain management program to meet future supply chain manager’s requirements. Social implications – Include providing the right education and training in support of supply chain operations and in turn serving the community with products and services on time and that too in a most cost effective manner. Originality/value – This paper develops a new framework for supply chain talent development. This framework has been empirically tested, and major findings and future research directions are highlighted.

Measuring the performance of knowledge resources using a value perspective: integrating BSC and ANP

2015 ◽  
Vol 19 (6) ◽  
pp. 1250-1272 ◽  
Author(s):  
Yaoguang Hu ◽  
Jingqian Wen ◽  
Yan Yan
Keyword(s):  
Balanced Scorecard ◽  
Quantitative Methods ◽  
Analytic Network Process ◽  
Future Research ◽  
Sustainable Competitive Advantage ◽  
Problem Structuring ◽  
Content Type ◽  
Knowledge Resources ◽  
Qualitative And Quantitative Methods ◽  
Network Process

Purpose – This paper aims to provide insight into how knowledge resources in R & D organizations can be effectively and separately measured for knowledge sharing and transfer. Knowledge is recognized as a durable strategic resource to obtain sustainable competitive advantage. Design/methodology/approach – The paper proposes a theoretical framework integrating an analytic network process (ANP) with a balanced scorecard (BSC) to measure the performance of knowledge resources under value perspective. Four indicators and three knowledge value (KV) components including labor value, technology value and utilization value are discussed. The model construction, problem structuring and calculation procedure for measuring the performance of knowledge resources based on ANP and BSC are demonstrated. Findings – Despite a number of models to assess the performance of knowledge resources being proposed, they highlighted a need for separately measuring under value perspective. With the aim of filling this gap, the main finding of the paper is to clarify relevant issues, providing a better framework for assessment of the performance of knowledge resources. Research limitations/implications – To handle the dynamic nature of knowledge, the research should take into account more advanced methods to measure the performance of knowledge resources. Both qualitative and quantitative methods should be utilized in future research. Practical implications – The consequences of measuring the performance of knowledge resources under value perspective may help managers to organize and arrange the separate knowledge resources, improving the knowledge resources exchange between different institutions in R & D organizations. Originality/value – The main contribution of this paper lies in the development of a comprehensive model, which incorporates diversified issues for conducting the performance of knowledge resources under value perspective.

Exploring the best policy scenario plan for the dairy supply chain: a DEMATEL approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aries Susanty ◽  
Nia Budi Puspitasari ◽  
Heru Prastawa ◽  
Stellya Veronica Renaldi
Keyword(s):  
Supply Chain ◽  
Dairy Cattle ◽  
Causal Relationship ◽  
Success Factors ◽  
Future Research ◽  
Success Factor ◽  
Milk Supply ◽  
Content Type ◽  
The Right ◽  
Dairy Milk

Purpose This research primarily aims to find and analyse the interaction among success factors for improving the performance of Indonesia’s dairy milk supply chain. Further, this research aims to formulate the right policies for improving the performance of the chain based on the success factor that belongs to cause groups. Design/methodology/approach The paper analyses 10 success factors for improving the performance of the Indonesian dairy supply chain with the decision-making trial and evaluation laboratory (DEMATEL) method and analyses the Delphi method to formulate the right policies for improving performance. Findings There are four important influencing factors that directly impact the overall system, i.e. the number of dairy cattle import, national milk demand, the total number of dairy farmers and the number of dairy cattle ownership or herd size. Several alternative policies have been designed by several experts according to the influencing factors, i.e. the government assists in the procurement of imported cattle, provides financial assistance to farmers in the form of low-interest financing, improves the partnership system between farmers and dairy cooperatives, provides a reward system for the farmers and increases the level of formality of contract between the farmers and cooperatives. Research limitations/implications Interrelationships of each success factor and the most important influencing success factors could not be generally determined because it depends on the point of view of the experts. Future research can apply the success factors proposed by this research to the different dairy milk supply chain. Then, this research used only nine experts for formulating alternative policies. Future research may repeat this method using multiple experts to justify the validity of the research. Moreover, this research only explored 21 success factors of the increase in the performance of the Indonesian dairy supply chain. Future research should consider not only the supply side and number of dairy cattle but also several success factors from the causal relationship diagram in the broader dairy milk supply chain. Practical implications This research provides essential insights for policymakers, as they have to understand and evaluate the success factors before formulating several alternative policies. Social implications The research has revealed that the right alternative policies can be designed, as the causal factor has been known. Originality/value This research contributes to applying a combination of causal relationship diagram of System Dynamic and DEMATEL method as a qualitative and quantitative method in one integrated way through performance dairy supply chain analysis. As a result, this research draws a policy for the dairy supply chain referring to the success factor as a cause for the low performance of the Indonesian dairy supply chain.

scholarly journals Location Selection of a Manufacturing Facility from the Perspective of Supply Chain Sustainability

Symmetry ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 1418
Author(s):  
Sun-Weng Huang ◽  
James J.H. Liou ◽  
William Tang ◽  
Gwo-Hshiung Tzeng
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Process Model ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Entropy Method ◽  
Location Selection ◽  
Subjective Weight ◽  
Network Process ◽  
The Right

When threatened with catastrophic political or economic fluctuations, a firm might be forced to consider relocating their supply chain to reduce the risk. Such a relocation necessitates a series of changes, so making the right decision is crucial for sustainable development of the company. In the past, various models have been developed to help managers to select the optimal location. However, most of these considered the factors independently but in the real world, these factors have a mutually influential relationship. This study purposes a hybrid multiple criteria decision making (MCDM) model to provide decision makers with a comprehensive framework to evaluate the best strategies to solve relocation problems, which also considers the interdependency between criteria. The model incorporates the DANP (Decision Making Trial and Evaluation Laboratory-based Analytic Network Process) model (subjective weight) and entropy method (objective weight) to determine the weights of the criteria. Then, the modified VIKOR (VIšekriterijumsko Kompromisno Rangiranje) method is applied to select the optimal alternative for relocation. The usefulness of the model is demonstrated by taking an electronics manufacturing company with a global supply chain as an example. The results indicate that the proposed hybrid model can assist companies in choosing the best locations for their supply chains for sustained development.

An integrated ANP–QFD approach for prioritization of customer and design requirements for digitalization in an electronic supply chain

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Deepu TS ◽  
Ravi V
Keyword(s):  
Supply Chain ◽  
Quality Function Deployment ◽  
Analytic Network Process ◽  
Lead Times ◽  
Customer Requirements ◽  
Content Type ◽  
Supply Chain Efficiency ◽  
Network Process ◽  
Term Basis ◽  
Design Requirements

PurposeSupply chain efficiency can be enhanced by integrating the activities in supply chain through digitalization. Advancements in digital technologies has facilitated in designing robust and dynamic supply chain by bringing in efficiency, transparency and reduction in lead times. This research tries to identify and prioritize the customer requirements and design requirements for effective integration of supply chain through digitalization.Design/methodology/approachThe key nine customer requirements and 16 design requirements applicable for an electronics company were shortlisted in consultation with the experts from the company and academia. An integrated analytic network process (ANP) and quality function deployment (QFD) methodology has been applied for prioritizing the customer and design requirements. The relative importance and interdependence of these requirements were identified and a House of Quality (HOQ) is constructed.FindingsThe HOQ constructed has prioritized and identified interrelationships among customer requirements and design requirements for effective supply chain digitalization. These findings could be effectively used by managers for planning the objectives on long-term, medium-term and short-term basis.Originality/valueThis study tries to bridge the gap of identifying and prioritizing the design and customer requirements for effective supply chain integration through digitalization. The results could aid practicing managers and academicians in decision-making on supply chain digitalization process.

Selecting Candidate Suppliers Using a Multiple Criteria Decision Making Model

2013 ◽  
Vol 694-697 ◽  
pp. 3472-3475 ◽  
Author(s):  
Amy H.I. Lee ◽  
He Yau Kang ◽  
Chun Yu Lin ◽  
Hsin Wei Wu
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
High Tech ◽  
Supplier Integration ◽  
Network Process ◽  
Decision Making Model ◽  
Selection Of

High-tech firms are usually under a dynamically changing and fierce competitive environment these days. In order to survive in such an intensive competitive international market, a firm not only needs to manufacture outstanding products that meet the demands of its customers, it also needs to have a comprehensive supply chain management. To achieve the benefits of buyer-supplier integration, in terms of increased internal efficiency and profitability of the players in a supply chain, the identification of viable suppliers is a preliminary step that needs to be properly managed. Thus, to be cost competitive and to acquire decent profit in the market, the selection of the most appropriate suppliers is essential. In this paper, a supplier selection model is constructed by applying methodologies including decision making trial and evaluation laboratory (DEMATEL) and analytic network process (ANP) to determine the interrelationship among the evaluation criteria and to select the most appropriate suppliers for cooperation.

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