Entropy as an assessment tool of supply chain information sharing

Martínez-Olvera, César

doi:10.1016/j.ejor.2006.12.025

Cited by 48 publications

(20 citation statements)

References 49 publications

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“…Shuiabi, Thomson [25] used a computer simulation of a job shop to test the measure through a number of different scenarios; they showed that entropy succeeded in measuring flexibility when the relative demand for the fabrication of products changed. Martínez-Olvera [21] developed a methodology to compare different supply chain information sharing approaches, based on an entropy-based formulation.…”

Section: General Concept Of Entropymentioning

confidence: 99%

Measuring schedule uncertainty for a stochastic resource-constrained project using scenario-based approach with utility-entropy decision model

Tseng

Ko²

2016

Journal of Industrial and Production Engineering

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The aim of this study is to propose a scenario-based approach with utility-entropy decision model to measure the uncertainty related to the evolution of a resource-constrained project scheduling problem with uncertain activity durations (a stochastic RCPSP). The approach consists of two stages. The first is to apply the proposal proposed by Tseng and Ko to convert a stochastic RCPSP into a full scenario tree. In stage two, we introduce the Expected UtilityEntropy (EU-E) decision model, a weighted linear average of expected utility and entropy, to establish an EU-E criterion. Then we apply the criterion to prune the worse branch(es) to lead a reduced scenario tree. Based on an illustrated example, it has been concluded that the reduced scenario tree by the EU-E criterion with larger trade-off coefficient λ has less number of possible paths, less uncertainty, and lengthier expected project duration than that with smaller trade-off coefficient λ. Thus, this has demonstrated that not only can the whole scenario during the course of a project be obtained, but also the uncertainty related to the evolution of a project can be measured.

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Section: General Concept Of Entropymentioning

confidence: 99%

Measuring schedule uncertainty for a stochastic resource-constrained project using scenario-based approach with utility-entropy decision model

Tseng

Ko²

2016

Journal of Industrial and Production Engineering

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“…When the limit symbol is removed，Eq. (2)(3)(4)(5)(6)shows that the relation between fractal dimension and entropy was demonstrated theoretically, in which the fractal dimension is a measure of the entropy and a state function [3] .…”

Section: Generalized Entropy and Generalized Dimensionmentioning

confidence: 99%

Research on Entropy Model of Order Degree of Fractal Supply Chain Network

Sun

2008

2008 International Symposium on Electronic Commerce and Security

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According to the relation between generalized fractal dimension and generalized entropy, obtain entropy through fractal dimension, and expand and improve the system structure entropy model, furthermore, establish entropy model of order degree of FSCN system based on organizational structure entropy and information entropy. Meanwhile, reveal generation and propagation of information accord with fractal growth in DLA model to get information fractal dimension and information entropy. And an example is provided to explain and compare the result. Moreover, entropy mechanism of FSCN system mutation is deduced from entropy model of order degree of FSCN .

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“…Since Shannon's information entropy (Shannon 1948) enables a detailed analysis of the structure of occurring deviations from target values, several authors propose entropy-based measures for various problems in manufacturing or supply chain management (see, among others, Yao 1985;Ronen and Karp 1994;Frizelle and Woodcock 1995;Deshmukh, Talavage, and Barash 1998;Sivadasan et al 2002;Sivadasan et al 2006;Martínez-Olvera 2008;Smart, Calinescu, and Huaccho Huatuco 2011;Wu et al 2012). Due to an information theoretic definition of complexity, these approaches apply entropy values.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

A new two-dimensional performance measure in purchase order sizing

Bock

Isik

2015

International Journal of Production Research

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Lack of knowledge about demand responses or about behavioural aspects of decision-making within procurement processes is a significant cost driver in modern supply chains. Very often, this lack of knowledge leads to a substantial increase in inventories and may endanger negotiated service levels. For instance, various studies reveal that decision-makers tend to anchor orders close to the average past demand although the target order size is significantly higher or lower. In order to improve this situation, feedback has to be systematically provided to the decision-makers. In combination with modern big data analytics and reporting instruments that enable exhaustive monitoring, effective indicators have to be applied in order to directly detect processes with significant potential for improvement. Hence, this paper proposes a new approach for measuring the intricacy in purchase order sizing that addresses self-awareness skills of decision-makers. By simultaneously analysing the amount and structure of occurring costs, processes with a significant and simple structured error pattern are identified. In order to identify these processes more reliably, a new approach that supplements former information-theoretic entropy measures by an additional cost value is proposed. By analysing costs and the structure of deviations from target values in a two-dimensional measure, a more comprehensive understanding of the considered order sizing process is pursued. In order to illustrate the application of the new approach and show limitations of one-dimensional measures, different scenarios that exemplify the new approach are presented.

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Entropy as an assessment tool of supply chain information sharing

Cited by 48 publications

References 49 publications

Measuring schedule uncertainty for a stochastic resource-constrained project using scenario-based approach with utility-entropy decision model

Measuring schedule uncertainty for a stochastic resource-constrained project using scenario-based approach with utility-entropy decision model

Research on Entropy Model of Order Degree of Fractal Supply Chain Network

A new two-dimensional performance measure in purchase order sizing

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