System Reliability and Decision Making for a Production System with Intersectional Lines

Author(s):  
Yi-Kuei Lin ◽  
Ping-Chen Chang ◽  
Kai-Jen Hsueh
2021 ◽  
Vol 87 ◽  
pp. 106519 ◽  
Author(s):  
Rodrigo Salvador ◽  
Murillo Vetroni Barros ◽  
Giovani Elias Tagliaferro dos Santos ◽  
Karen Godoi van Mierlo ◽  
Cassiano Moro Piekarski ◽  
...  

Author(s):  
Aniruddha Samanta ◽  
Kajla Basu

Reliability allocation is a very important problem during early design and development phases of a system. There are several reliability allocation techniques which are used to achieve the target reliability. The feasibility of objectives (FOO) technique is one of them that is widely used to perform system reliability allocation. But this technique has two fundamental shortcomings. The first is the measurement scale and the second is that it does not consider the order weight of the reliability allocation factors. The prioritization of the factors is also an important topic in decision making. Practically, all factors in multi-criteria decision making (MCDM) are not in the same priority level. Hence, in decision making situation, it is usual for decision makers to consider different priority factors. So, considering the prioritization of the factors, a reliability allocation method is proposed here to overcome the shortcomings of the FOO technique. Also, a case study on reliability allocation in airborne radar system is considered here to verify the efficiency of the proposed approach. Finally, the results are calculated in different optimistic and pessimistic view point and compared with the FOO technique. This comparison exhibits the advantages and supremacy of the proposed approach.


Author(s):  
Xiaoning Jin ◽  
Lin Li ◽  
Jun Ni

This paper presents an analytical, option-based cost model for an integrated production and preventive maintenance decision making with stochastic demand. The determination of preventive maintenance times and their schedule during a production period is converted to an option problem through maximizing the profit of the production per unit time. The optimal number of preventive maintenance actions is obtained and some further discussions on how the cost parameters affect the optimal results are also derived. The resulting option-based model is found to add flexibility to the production system and thus reduce the risk of shortage when the production system is faced with stochastic demand. A comparisons between the basic model (without option) and the option-based preventive maintenance model has shown that the option model is a more flexible under demand uncertainty and results in at least as much profit as the basic one.


Author(s):  
Jesse Eiben

This is an advance summary of a forthcoming article in the Oxford Research Encyclopedia of Environmental Science. Please check back later for the full article. Integrated Pest Management (IPM) is an ecosystem management operational framework to make ecologically and economically sound environmental management decisions in ways that are selective for the pest encountered while minimizing effects not related to the problem at hand. The strength of IPM research and use is to constantly adapt methods and applications of the science behind adaptive decision making to ensure that the most modern and comprehensive problem-solving skills and techniques will be used to manage pest issues. Pests are ubiquitous in every human-managed ecosystem, most commonly encountered in production agriculture and forestry. Pests are also encountered by homeowners and in other environmental management regimes related to ecological restoration, just to name a few IPM use situations. IPM has been practiced by humans throughout the development of human agricultural practices, for major stable food and fiber crops since the advent of agriculture. However, the specific scientific discipline of truly integrating multiple management techniques, from pesticide application, to fertilizer regimes, to resistant plant variety selection, to ecological and cultural management, and finally to cost-benefit analyses to ensure the techniques used are comprehensive for the pest and the rest of the agricultural production system is a relatively new science, first rigorously tested and reviewed in the 1940s. The greatest strengths of the discipline are also its weakness; by being pest-taxon, crop specific, and flexible for a given environmental or management situation, there is a constant need for refinement of IPM decision making processes in very specific situations to be the most efficient and useful in a given pest situation. Given the number of sub-discipline inputs into the robust decision-making framework, many specialists need to be invested in the specific IPM program, or a highly trained and dedicated group must be accountable for wrangling diverse disciplines into a cohesive management regime. Finally, given the vast number of pests and pathogens that affect a production system, it is nearly impossible to have an IPM program for every crop, for every pest, in every system; yet this is what is called upon from the farmers or land managers in nearly every situation. Given the modern push to have answers ready at the push of a button, the discipline of IPM will continue to be refined to remain relevant and at the forefront of safe, efficient, environmentally accountable, and ultimately sustainable sciences in modern ever-changing agricultural production systems.


Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3304 ◽  
Author(s):  
Barbara Tchórzewska-Cieślak ◽  
Katarzyna Pietrucha-Urbanik

Analysis and assessment of the reliability and safety of a gas-supply system is a key issue, given its status as critical infrastructure. A gas-supply system is characterised by continuous operation and a consequent need to achieve a high level of operating reliability and safety. Such a system has its unique aspects, with particular elements having their different functions while also simultaneously interacting in the context of the integral whole. In such circumstances, risk analysis can prove useful in planning activity to prevent damage, and also in the devising of rescue scenarios. Thus, the purpose of the analysis presented here has been to supply the information that is necessary in decision-making relating to risk reduction. One of the most comprehensive assessment methods is based on the expected value of gas shortage. Basic formulae with which to determine a generalised indicator of system reliability are also presented, with risk viewed as synonymous with the unreliability of gas supply. This paper then proposes a method by which an indicator of the expected efficiency of operation may also be determined as the quotient of chance and absolute risk. The thinking in this article has been developed on the basis of data from a real gas-supply system, while the computational methods deployed allowed applications to draw conclusions regarding possible modification of the expected gas shortages method.


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