Using entropy for quantitative measurement of operational complexity of supplier–customer system: case studies

Lukáš, Ladislav; Plevný, Miroslav

doi:10.1007/s10100-015-0386-7

Cited by 7 publications

(3 citation statements)

References 26 publications

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“…Tere were a number of other specifc approaches to navigating complexity. Tese included the design of a tool to personalise online searching [40]; an approach to integrating IT systems to improve service delivery [47]; a multiuser tool, in the form of an interactive map, for planning home care services [60]; a method for measuring complexity in the brewing industry to better understand the structural and operational issues involved [61]; and the use of smartphones to enable access to health information [77].…”

Section: Testing Interventions To Address Complexitymentioning

confidence: 99%

Supporting Service Recipients to Navigate Complex Service Systems: An Interdisciplinary Scoping Review

Davidson,

Allchin,

Blake-Holmes

et al. 2023

Health & Social Care in the Community

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This scoping review aimed to identify potential factors from across eight disciplines’ approaches to complexity that could be positively applied to supporting services users to navigate health and social care. The illustrative example of families where a parent has mental health challenges is used as those families often have a wide range of complex needs both for the parent/s and children. These complexities can result in the involvement of multiple services and interventions. However, in attempting to respond to complex family needs, health and social care services may unintentionally increase the complexity and associated stress for the family. Two broad themes were identified within the multidisciplinary literature including testing service developments with a view to reduce or manage complexity and approaches to support service users to navigate complexity. Specific learning from the scoping review can be applied to health and social care services to encourage a focus on service users’ expectations, understandings, and experiences of services; carefully consider the relationship between the service design and the service user’s behaviour; and finally reinforce the importance of service user involvement (or coproduction) within service development and consideration of the relationship between the service user and provider. The knowledge drawn from this scoping review can inform the development and evaluation of current services and guide the development of future services. It can also help consider approaches to empower service users to navigate the complexity of services.

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Section: Testing Interventions To Address Complexitymentioning

confidence: 99%

Supporting Service Recipients to Navigate Complex Service Systems: An Interdisciplinary Scoping Review

Davidson,

Allchin,

Blake-Holmes

et al. 2023

Health & Social Care in the Community

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show abstract

“…Similarly, Isik (2010) proposed a modified entropy method for measuring static and dynamic complexities of the supply chain. Lukáš and Plevný (2016) highlighted the importance of using α power entropy in the complexity measurement. Meepetchdee and Shah (2007) highlighted that the mechanism of the entropy approach lies in state probabilities and it is very difficult to apply the entropic approach in measuring the logistical network.…”

Section: Literature Reviewmentioning

confidence: 99%

An integrated interpretive structural modeling and a graph-theoretic approach for measuring the supply chain complexity in the Indian automotive industry

Kavilal

Venkatesan

Sanket

2018

JMTM

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Purpose Easily employable quantitative supply chain complexity (SCC) measures considering the significant dimensions of complexity as well as the drivers that represent those dimensions are limited in the literature. The purpose of this paper is to propose an integrated interpretive structural modeling (ISM) and a graph-theoretic approach to quantify SCC by a single numerical index considering the interdependence and the inheritance of the SCC drivers. Design/methodology/approach In total, 18 SCC drivers identified from the literature are clustered according to the significant dimensions of complexity. The interdependencies established through ISM and inheritance values of SCC drivers are mapped into a Variable Permanent Matrix (VPM). The permanent function of this VPM is then computed and the resulting single numerical index is the measure of SCC. Findings A scale is proposed by computing the minimum and maximum threshold values of SCC with the help of expert opinions of the Indian automotive industry. The complexity of commercial and passenger vehicle sectors within the automotive industry is measured and compared using the proposed scale. From the results, it is identified that the number of suppliers, increase in spare-parts due to shortened product life-cycle and demand uncertainties increase the SCC of the passenger vehicle sector, while number of parts, products and processes, variety of products and process and unreliability of suppliers increase the complexity of the commercial vehicle sector. The result indicates that various SCC drivers have a different impact on determining the SCC level of these two sectors. Originality/value The authors propose an integrated method that can be readily applied to measure and quantify SCC considering the significant dimensions of complexity as well as the interdependence and the inheritance of the SCC drivers that contribute to those dimensions. This index further helps to compare the complexity of the supply chain which varies between industries.

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“…Basically, we expand herein upon our previous works on the topic [33][34][35], in particular. In order to analyze the operational complexity of supplier-customer systems, we have to define the basic entities and corresponding flows of information, first.…”

Section: Information Scheme Of Supplier-customer Systems and Basic Stmentioning

confidence: 99%

Operational Complexity of Supplier-Customer Systems Measured by Entropy—Case Studies

Lukáš

Hofman

2016

Entropy

Self Cite

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This paper discusses a unified entropy-based approach for the quantitative measurement of operational complexity of company supplier-customer relations. Classical Shannon entropy is utilized. Beside this quantification tool, we also explore the relations between Shannon entropy and (c,d)-entropy in more details. An analytic description of so called iso-quant curves is given, too. We present five case studies, albeit in an anonymous setting, describing various details of general procedures for measuring the operational complexity of supplier-customer systems. In general, we assume a problem-oriented database exists, which contains detailed records of all product forecasts, orders and deliveries both in quantity and time, scheduled and realized, too. Data processing detects important flow variations both in volumes and times, e.g., order-forecast, delivery-order, and actual production-scheduled one. The unifying quantity used for entropy computation is the time gap between actual delivery time and order issue time, which is nothing else but a lead time in inventory control models. After data consistency checks, histograms and empirical distribution functions are constructed. Finally, the entropy, information-theoretic measure of supplier-customer operational complexity, is calculated. Basic steps of the algorithm are mentioned briefly, too. Results of supplier-customer system analysis from selected Czech small and medium-sized enterprises (SMEs) are presented in various computational and managerial decision making details. An enterprise is ranked as SME one, if it has at most 250 employees and its turnover does not exceed 50 million USD per year, or its balance sheet total does not exceed 43 million USD per year, alternatively.

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Using entropy for quantitative measurement of operational complexity of supplier–customer system: case studies

Cited by 7 publications

References 26 publications

Supporting Service Recipients to Navigate Complex Service Systems: An Interdisciplinary Scoping Review

Supporting Service Recipients to Navigate Complex Service Systems: An Interdisciplinary Scoping Review

An integrated interpretive structural modeling and a graph-theoretic approach for measuring the supply chain complexity in the Indian automotive industry

Operational Complexity of Supplier-Customer Systems Measured by Entropy—Case Studies

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