Assessment of servitization leagility using multi-grade fuzzy approach.

Source

Scientific Journal for Commerce and Finance

Issue

Vol. 39, Issue 3 (30 Sep. 2019), pp.1-23, 23 p.

Publisher

Tanta University Faculty of Commerce

Publication Date

2019-09-30

Country of Publication

Egypt

No. of Pages

23

Main Subjects

Economy and Commerce
Financial and Accounting Sciences

Topics

Abstract EN

In today's dynamic business environment manufacturing companies face many challenges such as: global competition, market uncertainty, and changing customer's needs.

In order to survive manufacturing companies are moving toward new manufacturing paradigms to develop their competitive abilities.


Manufacturing leagility that combines the advantages of both lean and agility in one unit drive the interest of many manufacturing companies as one of the important strategies to be implemented.


This paper presents the first attempt to propose an index to compute servitization leagility in a UK manufacturing company via structured model consisting of leagility enablers, criteria, as well as, attributes using multi-grade fuzzy approach.

Fuzzy logic has been applied to deal with linguistic judgments.

By using the model, the servitization leagility index was computed for the case company.

Then, future opportunities which require special managerial attention toward improving servitization leagility degree were identified as well.


The validation of the case study results confirms the quite easy applicability and feasibility of the proposed model in measuring servitization leagility effectively.

American Psychological Association (APA)

2019. Assessment of servitization leagility using multi-grade fuzzy approach.. Scientific Journal for Commerce and Finance،Vol. 39, no. 3, pp.1-23.
https://search.emarefa.net/detail/BIM-1093334

Modern Language Association (MLA)

Assessment of servitization leagility using multi-grade fuzzy approach.. Scientific Journal for Commerce and Finance Vol. 39, no. 3 (2019), pp.1-23.
https://search.emarefa.net/detail/BIM-1093334

American Medical Association (AMA)

Assessment of servitization leagility using multi-grade fuzzy approach.. Scientific Journal for Commerce and Finance. 2019. Vol. 39, no. 3, pp.1-23.
https://search.emarefa.net/detail/BIM-1093334

Data Type

Journal Articles

Language

English

Notes

-

Record ID

BIM-1093334