A simulation approach to innovation deployment readiness assessment in manufacturing

Manufacturing companies need to continuously innovate in order to remain competitive. Fostering a successful innovative environment should reflect positively on manufacturing performance, with a premise that companies seek to attain appropriate level of readiness when deploying their innovation. Thi...

Full description

Bibliographic Details
Main Authors: Alireza Javahernia, Funlade Sunmola
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:Production and Manufacturing Research: An Open Access Journal
Subjects:
Online Access:http://dx.doi.org/10.1080/21693277.2017.1322542
id doaj-d0058219add9477a925ecb66e5b72866
record_format Article
spelling doaj-d0058219add9477a925ecb66e5b728662020-11-25T00:41:11ZengTaylor & Francis GroupProduction and Manufacturing Research: An Open Access Journal2169-32772017-01-0151818910.1080/21693277.2017.13225421322542A simulation approach to innovation deployment readiness assessment in manufacturingAlireza Javahernia0Funlade Sunmola1University of HertfordshireUniversity of HertfordshireManufacturing companies need to continuously innovate in order to remain competitive. Fostering a successful innovative environment should reflect positively on manufacturing performance, with a premise that companies seek to attain appropriate level of readiness when deploying their innovation. This paper presents an approach to assessing innovation deployment readiness in manufacturing. Deployment is conceptualised as a sequential decision process that involves a deployment plan to be executed sequentially in an uncertain environment. The deployment plan is assessed using simulation to account for risks and uncertainties that may characterise the deployment activities in the target environment and the capabilities put forward in the plan for handling the risks and uncertainties. The approach is illustrated using a simulated manufacturing job shop scenario and the results show that deployment readiness can vary over time. Deployment readiness can be improved by identifying the states in which readiness is weak and taking appropriate actions.http://dx.doi.org/10.1080/21693277.2017.1322542Continuous innovationdeploymentreadiness assessmentsimulationjob shop
collection DOAJ
language English
format Article
sources DOAJ
author Alireza Javahernia
Funlade Sunmola
spellingShingle Alireza Javahernia
Funlade Sunmola
A simulation approach to innovation deployment readiness assessment in manufacturing
Production and Manufacturing Research: An Open Access Journal
Continuous innovation
deployment
readiness assessment
simulation
job shop
author_facet Alireza Javahernia
Funlade Sunmola
author_sort Alireza Javahernia
title A simulation approach to innovation deployment readiness assessment in manufacturing
title_short A simulation approach to innovation deployment readiness assessment in manufacturing
title_full A simulation approach to innovation deployment readiness assessment in manufacturing
title_fullStr A simulation approach to innovation deployment readiness assessment in manufacturing
title_full_unstemmed A simulation approach to innovation deployment readiness assessment in manufacturing
title_sort simulation approach to innovation deployment readiness assessment in manufacturing
publisher Taylor & Francis Group
series Production and Manufacturing Research: An Open Access Journal
issn 2169-3277
publishDate 2017-01-01
description Manufacturing companies need to continuously innovate in order to remain competitive. Fostering a successful innovative environment should reflect positively on manufacturing performance, with a premise that companies seek to attain appropriate level of readiness when deploying their innovation. This paper presents an approach to assessing innovation deployment readiness in manufacturing. Deployment is conceptualised as a sequential decision process that involves a deployment plan to be executed sequentially in an uncertain environment. The deployment plan is assessed using simulation to account for risks and uncertainties that may characterise the deployment activities in the target environment and the capabilities put forward in the plan for handling the risks and uncertainties. The approach is illustrated using a simulated manufacturing job shop scenario and the results show that deployment readiness can vary over time. Deployment readiness can be improved by identifying the states in which readiness is weak and taking appropriate actions.
topic Continuous innovation
deployment
readiness assessment
simulation
job shop
url http://dx.doi.org/10.1080/21693277.2017.1322542
work_keys_str_mv AT alirezajavahernia asimulationapproachtoinnovationdeploymentreadinessassessmentinmanufacturing
AT funladesunmola asimulationapproachtoinnovationdeploymentreadinessassessmentinmanufacturing
AT alirezajavahernia simulationapproachtoinnovationdeploymentreadinessassessmentinmanufacturing
AT funladesunmola simulationapproachtoinnovationdeploymentreadinessassessmentinmanufacturing
_version_ 1725286801115971584