292 research outputs found

    Supply Chain Performance Appraisement and Benchmarking for Manufacturing Industries: Emphasis on Traditional, Green, Flexible and Resilient Supply Chain along with Supplier Selection

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    Supply chain represents a network of interconnected activities starting from raw material extraction to delivery of the finished product to the end-user. The main constituents of supply chain are supplying/purchasing, inbound logistics, manufacturing, outbound logistics, marketing and sales. In recent times, the traditional supply chain construct is being modified to embrace various challenges of present business needs. Today’s global market has become highly volatile; customers’ expectations are ever-changing. Fierce competition amongst business sectors necessitates adapting modern supply chain management philosophies. Agility, greenness, flexibility as well as resilience have become the key success factors in satisfying global business needs. In order to remain competitive in the turbulent marketplace, industries should focus on improving overall performance of the supply chain network. In this dissertation, supply chain performance assessment has been considered as a decision making problem involving various measures and metrics (performance indicators). Since most of the performance indices are subjective in nature; decisionmaking relies on active participation of a group of decision-makers (DMs). Subjective human judgment often bears some sort of ambiguity as well as vagueness in the decision making; to overcome uncertainty in decision making, adaptation of grey/fuzzy set theory seems to be fruitful. To this end, present work deals with a variety of decision support tools to facilitate supply chain performance appraisement as well as benchmarking in fuzzy/grey context. Starting from the traditional supply chain, this work extends appraisement and benchmarking of green supply chain performance for a set of candidate case companies (under the same industry) operating under similar supply chain construct. Exploration of grey-MOORA, fuzzy-MOORA, IVFN-TOPSIS, fuzzy-grey relation method has been illustrated in this part of work. Apart from aforementioned empirical studies, two real case studies have been reported in order to estimate a quantitative performance metric reflecting the extent of supply chain flexibility and resilience, respectively, in relation to the case company under consideration. Performance benchmarking helps in identifying best practices in perspectives of supply chain networking; it can easily be transmitted to other industries. Organizations can follow their peers in order to improve overall performance of the supply chain. vi Supplier selection is considered as an important aspect in supply chain management. Effective supplier selection must be a key strategic consideration towards improving supply chain performance. However, the task of supplier selection seems difficult due to subjectivity of supplier performance indices. Apart from considering traditional supplier selection criteria (cost, quality and service); global business scenario encourages emphasizing various issues like environmental performance (green concerns), resiliency etc. into evaluation and selection of an appropriate supplier. In this context, the present work also attempts to explore fuzzy based decision support systems towards evaluation and selection of potential suppliers in green supply chain as well as resilient supply chain, respectively. Fuzzy based Multi-Level Multi-Criteria Decision Making (MLMCDM) approach, fuzzy-TOPSIS and fuzzy-VIKOR have been utilized to facilitate the said decision making

    Supply Chain Performance Appraisement and Benchmarking for Manufacturing Industries: Emphasis on Traditional, Green, Flexible and Resilient Supply Chain along with Supplier Selection

    Get PDF
    Supply chain represents a network of interconnected activities starting from raw material extraction to delivery of the finished product to the end-user. The main constituents of supply chain are supplying/purchasing, inbound logistics, manufacturing, outbound logistics, marketing and sales. In recent times, the traditional supply chain construct is being modified to embrace various challenges of present business needs. Today’s global market has become highly volatile; customers’ expectations are ever-changing. Fierce competition amongst business sectors necessitates adapting modern supply chain management philosophies. Agility, greenness, flexibility as well as resilience have become the key success factors in satisfying global business needs. In order to remain competitive in the turbulent marketplace, industries should focus on improving overall performance of the supply chain network. In this dissertation, supply chain performance assessment has been considered as a decision making problem involving various measures and metrics (performance indicators). Since most of the performance indices are subjective in nature; decisionmaking relies on active participation of a group of decision-makers (DMs). Subjective human judgment often bears some sort of ambiguity as well as vagueness in the decision making; to overcome uncertainty in decision making, adaptation of grey/fuzzy set theory seems to be fruitful. To this end, present work deals with a variety of decision support tools to facilitate supply chain performance appraisement as well as benchmarking in fuzzy/grey context. Starting from the traditional supply chain, this work extends appraisement and benchmarking of green supply chain performance for a set of candidate case companies (under the same industry) operating under similar supply chain construct. Exploration of grey-MOORA, fuzzy-MOORA, IVFN-TOPSIS, fuzzy-grey relation method has been illustrated in this part of work. Apart from aforementioned empirical studies, two real case studies have been reported in order to estimate a quantitative performance metric reflecting the extent of supply chain flexibility and resilience, respectively, in relation to the case company under consideration. Performance benchmarking helps in identifying best practices in perspectives of supply chain networking; it can easily be transmitted to other industries. Organizations can follow their peers in order to improve overall performance of the supply chain. vi Supplier selection is considered as an important aspect in supply chain management. Effective supplier selection must be a key strategic consideration towards improving supply chain performance. However, the task of supplier selection seems difficult due to subjectivity of supplier performance indices. Apart from considering traditional supplier selection criteria (cost, quality and service); global business scenario encourages emphasizing various issues like environmental performance (green concerns), resiliency etc. into evaluation and selection of an appropriate supplier. In this context, the present work also attempts to explore fuzzy based decision support systems towards evaluation and selection of potential suppliers in green supply chain as well as resilient supply chain, respectively. Fuzzy based Multi-Level Multi-Criteria Decision Making (MLMCDM) approach, fuzzy-TOPSIS and fuzzy-VIKOR have been utilized to facilitate the said decision making

    The analysis of regional logistics capacity and enterprise performance-Bengbu and BBCA Group analysis

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    Development of decision support systems towards supply chain performance appraisement

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    Purpose: The aim of this research is to develop various Decision Support Systems (DSS) towards supply chain (SC) performance appraisement as well as benchmarking. The purpose of this work is to understand multi-level (measures and metrics) performance appraisement index system to evaluate overall supply chain performance extent, monitor ongoing performance level and to identify ill-performing areas of the supply chain network. Design/methodology/approach: Fuzzy logic as well as grey theory has been explored in developing a variety of SC performance appraisement modules (evaluation index systems). Generalized fuzzy numbers, generalized intervalvalued fuzzy numbers theory have been utilized in order to tackle decision-makers’ linguistic evaluation information towards meaningful and logical interpretation of procedural hierarchy embedded to the said appraisement modules. Fuzzy-grey relation theory, MULTIMOORA method coupled with fuzzy logic as well as grey theory have also been adapted to facilitate overall SC performance assessment, performance benchmarking and related decision making. Findings: Supply chain performance index has been computed in terms of fuzzy as well as grey context, suggesting the present performance status of the said organizational supply chain. Ill-performing areas of the SC have been identified too. Fuzzy as well as grey based MULTIMOORA (MOORA: Multi-Objective Optimization by Ratio Analysis), fuzzy-grey relation analysis, thus adapted, appeared helpful in evaluating performance ranking order (and selecting the best) of various candidate alternatives (industries/enterprises) operating under similar supply chain architecture according to the ongoing SC performance. Empirical illustrations exhibited the fruitful application potential of the developed decision support tools. Practical implications: The decision support tools thus proposed may be proved fruitful for companies that are trying to identify key business performance measures for their supply chains. Ill-performing areas can easily be identified; companies can seek for possible means in order to improve those SC aspects so as to improve/enhance overall SC performance extent. Benchmarking may help in identifying best practices in relation to the SC which is performing as ideal (benchmarked practices). Best practices of the ideal organization need to be transmitted to the others. Companies can follow their peers in order to improve overall performance level of the entire supply chain. In view of this, the work reported in this dissertation may be proved as a good contributor for effective management of organizational SC. Research limitations: The methodology and presentation is conceptual, yet the tool can provide very useful interpretations for both researchers as well as management practitioners. Accessibility and availability of data are the main limitations affecting which model will be applied. Procedural steps towards implementing the said decision support tools have been demonstrated through empirical research. The decision support tools tools have neither been validated by practical case study nor have these been tested for assessing their reliability. Originality/value: This work articulates various approaches for supply chain performance evaluation considering multiple evaluation criteria (subjective evaluation indices), with a flexibility to modify and analyze using the available data sets collected from a group of experts (decision-makers). The approaches of performance evaluation index system are attempted due to structure and fuzzy (as well as grey) sets. The work is aimed at operational researchers, engineers and special managers

    Reviews and Perspectives on Smart and Sustainable Metropolitan and Regional Cities

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    The notion of smart and sustainable cities offers an integrated and holistic approach to urbanism by aiming to achieve the long-term goals of urban sustainability and resilience. In essence, a smart and sustainable city is an urban locality that functions as a robust system of systems with sustainable practices to generate desired outcomes and futures for all humans and non-humans. This book contributes to improving research and practice in smart and sustainable metropolitan as well as regional cities and urbanism by bringing together literature reviews and scholarly perspective pieces, forming an open access knowledge warehouse. It contains contributions that offer insights into research and practice in smart and sustainable metropolitan and regional cities by producing in-depth conceptual debates and perspectives, insights from the literature and best practice, and thoroughly identified research themes and development trends. This book serves as a repository of relevant information, material, and knowledge to support research, policymaking, practice, and the transferability of experiences to address challenges in establishing smart and sustainable metropolitan as well as regional cities and urbanism in the era of climate change, biodiversity collapse, natural disasters, pandemics, and socioeconomic inequalities

    Evaluation of Leanness, Agility and Leagility Extent in Industrial Supply Chain

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    The focus of Lean Manufacturing (LM) is the cost reduction by eliminating non value added activities (waste i.e. muda) and enabling continuous improvement; whereas, Agile Manufacturing (AM) is an approach which is mainly focused on satisfying the needs of customers while maintaining high standards of quality and controlling the overall costs involved in the production of a particular product. This approach has geared towards companies working in a highly turbulent as well as competitive business environment, where small variations in performance and product delivery can make a huge difference in the long term to a company’s survival and reputation amongst the customers. Leagility is basically the aggregation of lean and agile principles within a total supply chain strategy by effectively positioning the decoupling point, consequently to best suit the need for quick responding to a volatile demand downstream yet providing a level scheduling upstream from the marketplace. A leagile system adapts the characteristics of both lean and agile systems, acting together in order to exploit market opportunities in a cost-efficient way. The present research aims to highlight how these lean, agile as well as leagile paradigms may be adapted according to particular marketplace requirements. Obviously, these strategies are distinctly different, since in the first case, the market winner is cost; whereas, in the second case, the market winner is the availability. Agile supply chains are required to be market sensitive and hence nimble. This means that the definition of waste is different from that appropriate to lean supply. The proper location of decoupling point for material flow and information flow enables a hybrid supply chain to be better engineered. This encourages lean (efficient) supply upstream and agile (effective) supply downstream, thus bringing together the best of both paradigms. While implementing leanness/agility/leagility philosophy in industrial supply chain in appropriate situations, estimation of a unique quantitative performance metric (evaluation index) is felt indeed necessary. Such an index can help the industries to examine existing performance level of leanness/agility/leagility driven supply chain; to compare ongoing performance extent to thedesired/expected one and to benchmark best practices of lean/agile/leagile manufacturing/supply chain, wherever applicable. The present research attempts to assess the extent of leanness, agility as well as leagility, respectively, for an organizational supply chain using fuzzy/grey based Multi- Criteria Decision Making (MCDM) approaches. During this research, different

    EXAMINING TOURIST NON-PURCHASE INTENTION OF PEER-TO-PEER ACCOMMODATION: IMPEDING FACTORS AND PERCEIVED RISKS

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    With increasing trust and utilization of the Internet, the sharing economy is emerging in the tourism and hospitality marketplace. This study focused on tourist non-purchase intention to use peer-to-peer accommodation. To explore the non-purchase intention, the relationship between perceived risk and tourist non-purchase intention to use peer-to-peer accommodation, as well as the relationship between impeding factors and perceived risk were tested. The study employed survey data (N = 280) gathered from active adult U.S travelers who have never used peer-to-peer accommodation before and have no intention to use peer-to-peer accommodation in future. The results showed that six impeding factors (i.e., lack of trust, perceived cognitive effort, perceived cost, perceived safety and security, perceived service quality, perceived cleanliness) had significant effects on tourists’ perceived risks. Two perceived risks (i.e., Performance Risk, Psychological Risk) had significant effects on tourist non-purchase intention. Based on the results. both academic and practical implications are provided

    Studies on some aspects of agility appraisement: empirical research and case studies in Indian perspective

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    The thesis highlights decision-making problems in relation to agility evaluation as well as appraisement of agile enterprises followed be suppliers’ selection in agile supply chain. Various aspects have been covered (i) Supply Chain Agility Appraisement and (ii) Appraisement of Agility in Mass Customized Product Manufacturing (iii) Organizational Agility and Benchmarking of Agile Enterprises, (iv) Interrelationship amongst Agile Capabilities/Enablers, (v) Identification of Agile Barriers etc. Appraisement modules (appraisement index systems) have been proposed utilizing the concept of generalized fuzzy numbers, Interval-Valued Fuzzy Numbers (IVFNs) as well as grey numbers. The study provides in-depth understanding on hierarchical interrelationship amongst various agility dimensions required to assess organizational as well as supply chain agility. Agility appraisement modules have been proposed to perform both in fuzzy as well as grey environment. Agility barriers have been identified as well. The outcome of the empirical research as well as case study conducted in two Indian industries (automotive and railway construction at eastern India) have been critically analyzed. The influence of decision-makers’ risk bearing attitude over agility assessment and related decision-making has also been focused in this work. An efficient fuzzy embedded performance appraisement module has been proposed to facilitate suppliers’ evaluation cum selection process in agile supply chain. There exist a number of agility indices (metrics) that influence the extent of organizational agility. By evaluating these indices, appropriate ranking order of alternative agile enterprises can be determined. This being the basic fundamental of Multi-Criteria Decision Making (MCDM), it can effectively be explored towards benchmarking of agile enterprises. Evaluating the candidate agile alternatives and comparing across them, the best practices of the efficient organization can easily be identified and transferred to different organizations. Indian manufacturing industries prefer to maintain status-quo and hardly go for changes (or transformation). However, today’s market compulsion due to liberalization and globalization of demands that manufacturing firms must be agile enough to serve continuously changing unpredicted needs of the customers in an effective manner. The changes in terms of being agile are not easy enough due to several environmental, managerial and technical considerations. Analysis of drivers of agile manufacturing and their interaction with various aspects in integrative planning can be a valuable source of information to the decision-makers (DMs) for its successful implementation. In doing so, the managers can derive important insights into the problem and explore the said drivers efficiently to overcome those obstacles. Agility evaluation problem can be viewed as a multi-criteria decision making (MCDM) problem involving qualitative as well as quantitative evaluation criterions. Quantitative criterions (attributes) can be tackled by traditional tools and approaches. Difficulty arises in dealing with subjective qualitative selection criterions. In this thesis, fuzzy logic (as well as grey theory) has been proposed to tackle decision-makers’ subjective information/judgment in relation to agility appraisement and related decision-making vi problems. Literature is rich enough in addressing various decision-modeling problems using generalized fuzzy numbers; therefore, fruitful incorporation of Interval-Valued Fuzzy Numbers theory and grey theory definitely added value (contribution) pursued in data analysis (empirical as well as case studies) in this thesis. Use of ‘Fuzzy Degree of Similarity’ concept in identifying weak (ill-performing) areas (called agile barriers) in an agile supply chain appears to be a unique contribution in this work

    May 21, 2005 (Pages 2985-3132)

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