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دسته بندی:
مدیریت بازرگانی - Business Management
سال انتشار:
2020
عنوان انگلیسی مقاله:
Framework for Sustainable Risk Management in the Manufacturing Sector
ترجمه فارسی عنوان مقاله:
چارچوبی برای مدیریت پایدار ریسک در بخش تولید
منبع:
Sciencedirect - Elsevier - Procedia Manufacturing 51 (2020) 1290–1297
نویسنده:
C.F. Oduoza
چکیده انگلیسی:
Risk management is a huge challenge for business managers especially in the manufacturing engineering sector, and if not proactively
controlled can lead to under performance and sometimes cessation of activities for some companies. It is common knowledge that poorly
managed risks can have an adverse effect on performance while proactive and systematic control of key risk variables in a business
environment could generate successful outcomes. The work carried out here has developed a framework for risk management affordable and
suitable for use especially by small and medium size enterprises in the manufacturing sector. Using a combination of Bayesian Belief Network
(BBN) and Analytical Hierarchical Process (AHP) search algorithms, it was possible to search and identify key risk indicators that could
undermine business performance (measured in terms of cost, time, quality and safety) from a system database, and thereby manage (monitor,
identify, analyse, reduce, accept or reject their impact) them. The conclusion drawn from the study is that risk management for a manufacturing
process can be successfully achieved if risk factors which have a negative impact on project cost, quality of delivery, lead cycle and takt time
and health and safety of workers can be identified using BBN and minimised using the framework developed in this study.
Keywords: Risk Management | Manufacturing | Framework | Bayesian Belief Network | SMES | Software | Performance
قیمت: رایگان
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