Software Obsolescence in Defence

Rajagopal, S.; Erkoyuncu, John Ahmet; Roy, Rajkumar

doi:10.1016/j.procir.2014.07.121

Cited by 7 publications

(3 citation statements)

References 13 publications

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“…(Bartels, 2012). This can occurs in hardware/software development where for instance a software change could result in the hardware not being able to support the new software, or a software that is not supported by a newer hardware (Rajagopal et al, 2014;Sandborn, 2007). Technological Technological obsolescence occurs when new, better performing, products comes out and that suppliers stop manufacturing or supporting the older products (Bartels, 2012;Clavareau and Labeau, 2009).…”

Section: Key Circular Product Propertiesmentioning

confidence: 99%

Potential of circular economy implementation in the mechatronics industry: An exploratory research

Chouinard

Pigosso

McAloone

et al. 2019

Journal of Cleaner Production

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Section: Key Circular Product Propertiesmentioning

confidence: 99%

Potential of circular economy implementation in the mechatronics industry: An exploratory research

Chouinard

Pigosso

McAloone

et al. 2019

Journal of Cleaner Production

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“…Program managers have been using more COTS parts in sustainment dominated systems such as the military, avionics, nuclear plants, and transportation systems due to many advantages including cost, availability, and ease of use. Despite their abundant advantages, 6 due to their shorter product life cycle (2–5 years), there are also disadvantages of using them in sustainment dominated systems whose product life cycles are 25 years on average 7,8 . Such disparity between product life cycles created “the dark side of the Moore‐law.” 9,10 Obsolescence affects systems differently during various phases of the product life cycle 11 .…”

Section: Introductionmentioning

confidence: 99%

“…Despite their abundant advantages, 6 due to their shorter product life cycle (2-5 years), there are also disadvantages of using them in sustainment dominated systems whose product life cycles are 25 years on average. 7,8 Such disparity between product life cycles created "the dark side of the Moore-law." 9,10 Obsolescence affects systems differently during various phases of the product life cycle.…”

mentioning

confidence: 99%

Multi‐objective approach to forecast design refresh time due to COTS obsolescence

Özkan

Bulkan

2022

Systems Engineering

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The purpose of this study is to provide program managers and systems engineers with a novel algorithm in determining the design refresh time (DRT) of sustainmentdominated systems due to COTS obsolescence. Most of the research done so far has focused on cost optimization. The main contribution of the study is two-fold. First, besides cost optimization, we have introduced efficiency optimization within a balanced approach to determine the DRT, under multiple objectives. Second, we used a set-based approach over the hypervolume quality values of solutions rather than population-based Pareto solutions. We proposed a discrete-time simulation model by using Multi-Objective Evolutionary Algorithms where the deterioration over the quality values of Pareto solution sets is used as an indicator for a DRT. We supported the proposed mathematical model in theory with empirical findings from a case study for a sustainment-dominated Naval Command and Control System that was designed in 2004 and deployed in 2007. We ran the simulation as for 2007 and conducted an analysis over the cost and operational efficiency objectives to compare the situation experienced in real life against the simulation outputs of the proposed model. The results revealed that not only the total life cycle cost but also efficient operational sustainability of a system would be increased significantly if the system had gone through design refreshes as proposed by the model. We showed that the deterioration of the Pareto optimal solutions' hypervolume quality values over time is an effective marker to decide the optimal DRT under conflicting multiple objectives.

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