Performance measurement in supply chains: new network analysis and entropic indexes

Allesina, Stefano; Azzi, Anna; Battini, Daria; Regattieri, Alberto

doi:10.1080/00207540802647327

Cited by 75 publications

(38 citation statements)

References 27 publications

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“…SNA studies connections among nodes in a network. In a network an actor is represented by a node and relationships between actors are represented by edges (Allesina et al, 2010;Raghavan and Viswanadham, 2010;Kerbache and Smith, 2004). Actors may refer to individuals, organizations, or even countries, whereas edges may represent transactions, communication, friendship, collaboration, or trade (Chen and Paulraj, 2004;Christopher, 1992).…”

Section: Social Network Analysis (Sna)mentioning

confidence: 99%

Using social network analysis to combat counterfeiting

Ting

Tsang

2013

International Journal of Production Research

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Counterfeiting undoubtedly produces great harm to companies and the society. This paper presents a study on the application of Social Network Analysis (SNA) to combating this problem. The supply chain can be viewed as a network of parties involved in delivering value to consumers. Normally, SNA is used to analyze relationships between people. In this study, it is utilized to analyze supply chains for identification of parties that are likely to be involved in counterfeiting activities. After identifying the suspects in a supply chain, the company can deter and detect counterfeiting by tightening surveillance on these parties. The feasibility of using SNA as an anti-counterfeiting tool is investigated in a case study, the findings of which indicate that SNA can effectively help companies to prevent sources of counterfeit products from infiltrating into the supply chain. Problematic parties can be identified by characterizing the following features: high degree of centrality, high closeness of centrality and high betweenness of centrality.Keywords: Anti-counterfeiting, RFID, Social Network Analysis, Supply Chain Management This is the Pre-Published Version.

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Section: Social Network Analysis (Sna)mentioning

confidence: 99%

Using social network analysis to combat counterfeiting

Ting

Tsang

2013

International Journal of Production Research

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“…Literature shows a considerable increase in the fields of supply chain performance and its effects on company performance (Allesina et al, 2010;Pero et al, 2010;Whicker et al, 2009;Kim, 2009;Craighead et al, 2009;Yeung, 2008;Cousins et al, 2008;Sharif et al, 2007;Wong and Wong, 2007;Carr and Kaynak, 2007) and company performance management and measurement (Phusavat et al, 2009b;Ho, 2008;Lin and Kuo, 2007;Rao, 2006;Saad, 2001;Kuo et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

Performance measurement in a quality management system

2011

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Certification to quality assurance standards has become a must for many construction companies nowadays to be able to survive in highly competitive market.Companies face some difficulties while deploying a quality management system. On the other hand and from resource management point of view, resource utilization should be optimized both in company and its projects. This optimization is sought to be cost saving and time reduction while enhancing quality in many recent studies.The main challenge in resource optimization is employees' and workers' low morale and their resistance against organizational change. In order to overcome this problem and creating a motive environment in construction companies, a robust decision support tool is needed to efficiently and objectively measure and monitor employee performances.The core research objectives of this study are to: (1) overcome main pitfalls of quality management system deployment including large amount of paperwork, unstructured documentation, improper communication, and low employee morale;(2) formulate a conceptual framework to quantify employee performances based on three management factors of time, cost, and quality to be used as a basis for motivation system; and (3) develop an online office automation system using web and database capabilities of Microsoft Visual Studio .NET 2008 that simultaneously aims to optimize resource utilization.First, an extensive literature survey was conducted and through a questionnaire survey, the research methodology was designed.iv Second, a performance measurement framework was developed to enable efficient and effective resource utilization in construction projects and companies. The framework incorporates three management factors of time, cost, and quality and objectively quantifies each employee's performance. It was aimed to reduce the subjectivity of performance calculations through quantifying work quality. The performance factors could be further employed as a motivation tool for employees while being used as a performance monitoring decision tool for manager.Third, a prototype web-based office automation system was developed to enable the integration of the research developments of this study with information technology to facilitate its adoption in the construction companies. The system is designed to: (1)

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“…Many authors noticed that if a researcher tries to analyze potential failures/disruptions of all the suppliers in a SC or their absolute majority, he/she encounters a simply impractical and unrealistic problem demanding an astronomic amount of time and budget. Moreover, the supply chain control of the root node of the supply chain is much more important than the control of any of its successors ( [6,8]). …”

Section: Basic Definitionsmentioning

confidence: 99%

“…This paper analyzes the structural complexity of the supply chain affected by technological, organizational and environmental adverse events in the SCs, consequences of which lead, as a result, to violations of correct functioning of the SC. The detailed definition and analysis of the supply-chain structural complexity can be found in [2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Entropy-Based Algorithm for Supply-Chain Complexity Assessment

Kriheli

Levner

2018

Algorithms

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This paper considers a graph model of hierarchical supply chains. The goal is to measure the complexity of links between different components of the chain, for instance, between the principal equipment manufacturer (a root node) and its suppliers (preceding supply nodes). The information entropy is used to serve as a measure of knowledge about the complexity of shortages and pitfalls in relationship between the supply chain components under uncertainty. The concept of conditional (relative) entropy is introduced which is a generalization of the conventional (non-relative) entropy. An entropy-based algorithm providing efficient assessment of the supply chain complexity as a function of the SC size is developed.

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Performance measurement in supply chains: new network analysis and entropic indexes

Cited by 75 publications

References 27 publications

Using social network analysis to combat counterfeiting

Using social network analysis to combat counterfeiting

Performance measurement in a quality management system

Entropy-Based Algorithm for Supply-Chain Complexity Assessment

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