FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2802214004> ?p ?o ?g. }

• W2802214004 endingPage "1024" @default.
• W2802214004 startingPage "1003" @default.
• W2802214004 abstract "Purpose Process improvement (PI) projects in manufacturing suffer from high failure rates, often due to management capability overstretch. An organisation’s management may be unaware that they lack the necessary capability to achieve desired performance gains from a particular PI project. As a consequence, PI projects containing a level of complexity are undertaken but the organisation is not capable of providing the required resources. The purpose of this paper is to develop a new method for assessing whether a productivity enhancement initiative which develops into PI projects have a good probability of success (POS). The risk assessment method predicts the POS in achieving desired performance targets from a PI project. Design/methodology/approach The POS of a system can be measured in terms of reliability. An operation with a high POS indicates high reliability of the system’s ability to perform. Reliability is a form of risk assessment. When applied to PI projects, several key factors should be addressed. First, risk should be modelled with a framework that includes human factors. Second, time is an important dimension due to the need for persistence in effort. This research proposes the concept of performance effectiveness function, k P , that links the capability of an organisation with its performance level. A PI reliability function indicating the probably of success of the PI projects can then be derived at the design stage by combining the capability score and actual performance. Findings The PI reliability function has been developed and tested with an industry case in which a PI project is planned. The analysis indicates that the company is far from ideal to do the project. Research limitations/implications The reliability function may be used as a decision support tool to assist decision makers to set realistic performance gain targets from PI projects. The data set for deriving the function came from automotive and metal industries. Further research is required to generalise this methodology to other industries. Practical implications The reliability-based approach fills the gap in PI literature with a more holistic approach to determine the POS. Using the system’s reliability as an indicator, decision makers can analyse the system’s design so that resources can be used to increase key capabilities and hence the overall system’s POS can be increased more effectively. Social implications Many manufacturing organisations are looking to improve their operations by projects that aim to reduce waste in their operations. However, researches show that while achieving desired performance gain from PI is possible, it is by no means certain due to human factors. This research provides a decision support tool that evaluates human factors as well. Originality/value The originality lies in integration of the reliability theory to PI risk assessment and the novel method of characterising organisational capabilities to work towards meeting desired performance targets from manufacturing PI projects. This work has good potential to generalise for estimating the POS of other types of development projects." @default.
• W2802214004 created "2018-05-17" @default.
• W2802214004 creator A5019919629 @default.
• W2802214004 creator A5033818559 @default.
• W2802214004 date "2018-04-24" @default.
• W2802214004 modified "2023-10-18" @default.
• W2802214004 title "Reliability analysis of productivity enhancement initiatives" @default.
• W2802214004 cites W1483027054 @default.
• W2802214004 cites W1509333571 @default.
• W2802214004 cites W1529043918 @default.
• W2802214004 cites W1569830162 @default.
• W2802214004 cites W1737826015 @default.
• W2802214004 cites W1969607975 @default.
• W2802214004 cites W1972444232 @default.
• W2802214004 cites W1974598514 @default.
• W2802214004 cites W1975153988 @default.
• W2802214004 cites W1977006133 @default.
• W2802214004 cites W1978695043 @default.
• W2802214004 cites W1981278503 @default.
• W2802214004 cites W1985381374 @default.
• W2802214004 cites W1985693180 @default.
• W2802214004 cites W1991728777 @default.
• W2802214004 cites W1994057747 @default.
• W2802214004 cites W1998685663 @default.
• W2802214004 cites W2000856143 @default.
• W2802214004 cites W2001598111 @default.
• W2802214004 cites W2006578787 @default.
• W2802214004 cites W2008911470 @default.
• W2802214004 cites W2021501732 @default.
• W2802214004 cites W2029492648 @default.
• W2802214004 cites W2037074127 @default.
• W2802214004 cites W2040492074 @default.
• W2802214004 cites W2064693028 @default.
• W2802214004 cites W2066146977 @default.
• W2802214004 cites W2069805643 @default.
• W2802214004 cites W2073652251 @default.
• W2802214004 cites W2075448464 @default.
• W2802214004 cites W2081910335 @default.
• W2802214004 cites W2082401286 @default.
• W2802214004 cites W2100497661 @default.
• W2802214004 cites W2108841040 @default.
• W2802214004 cites W2111062017 @default.
• W2802214004 cites W2123973141 @default.
• W2802214004 cites W2129824714 @default.
• W2802214004 cites W2135895969 @default.
• W2802214004 cites W2144229800 @default.
• W2802214004 cites W2155058883 @default.
• W2802214004 cites W2169600057 @default.
• W2802214004 cites W2172246398 @default.
• W2802214004 cites W2481142032 @default.
• W2802214004 cites W2551675315 @default.
• W2802214004 cites W3123271477 @default.
• W2802214004 cites W4231539502 @default.
• W2802214004 cites W788759566 @default.
• W2802214004 doi "https://doi.org/10.1108/jmtm-12-2016-0187" @default.
• W2802214004 hasPublicationYear "2018" @default.
• W2802214004 type Work @default.
• W2802214004 sameAs 2802214004 @default.
• W2802214004 citedByCount "4" @default.
• W2802214004 countsByYear W28022140042019 @default.
• W2802214004 countsByYear W28022140042020 @default.
• W2802214004 countsByYear W28022140042021 @default.
• W2802214004 crossrefType "journal-article" @default.
• W2802214004 hasAuthorship W2802214004A5019919629 @default.
• W2802214004 hasAuthorship W2802214004A5033818559 @default.
• W2802214004 hasConcept C111919701 @default.
• W2802214004 hasConcept C112930515 @default.
• W2802214004 hasConcept C121332964 @default.
• W2802214004 hasConcept C12532035 @default.
• W2802214004 hasConcept C127413603 @default.
• W2802214004 hasConcept C137335462 @default.
• W2802214004 hasConcept C139719470 @default.
• W2802214004 hasConcept C14036430 @default.
• W2802214004 hasConcept C144133560 @default.
• W2802214004 hasConcept C15952604 @default.
• W2802214004 hasConcept C162324750 @default.
• W2802214004 hasConcept C162853370 @default.
• W2802214004 hasConcept C163258240 @default.
• W2802214004 hasConcept C195094911 @default.
• W2802214004 hasConcept C200601418 @default.
• W2802214004 hasConcept C201995342 @default.
• W2802214004 hasConcept C202444582 @default.
• W2802214004 hasConcept C204983608 @default.
• W2802214004 hasConcept C21547014 @default.
• W2802214004 hasConcept C23119410 @default.
• W2802214004 hasConcept C33676613 @default.
• W2802214004 hasConcept C33923547 @default.
• W2802214004 hasConcept C41008148 @default.
• W2802214004 hasConcept C43214815 @default.
• W2802214004 hasConcept C62520636 @default.
• W2802214004 hasConcept C78458016 @default.
• W2802214004 hasConcept C86803240 @default.
• W2802214004 hasConcept C98045186 @default.
• W2802214004 hasConceptScore W2802214004C111919701 @default.
• W2802214004 hasConceptScore W2802214004C112930515 @default.
• W2802214004 hasConceptScore W2802214004C121332964 @default.
• W2802214004 hasConceptScore W2802214004C12532035 @default.
• W2802214004 hasConceptScore W2802214004C127413603 @default.

• next