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Journal articles on the topic 'Product obsolescence'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 March 2023

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1

Munten, Pauline, Joëlle Vanhamme, and Valérie Swaen. "Reducing obsolescence practices from a product-oriented PSS perspective: A research agenda." Recherche et Applications en Marketing (English Edition) 36, no. 2 (January 25, 2021): 42–74. http://dx.doi.org/10.1177/2051570720980004.

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This conceptual article reviews current knowledge across relevant disciplines and proposes a research agenda related to the capacity of product-oriented product–service systems (PSS) – which are servitization practices, similar to product–service bundling – to mitigate the obsolescence problem of durable products (in the form of deliberate curtailment of product lifespans or symbolic devaluation of devices). Taking both consumer and company perspectives on this possibility, this study outlines paths for research into how marketing can advance knowledge, particularly in relation to product design and sustainable marketing fields. As a contribution to product–service bundling literature, this article also proposes that different types of bundling strategies can be deployed strategically to enhance environmental performance and reduce obsolescence. The effects of product-oriented PSS on obsolescence depend on the type of added services that companies bundle with their products. This insight offers some implications for managers who might seek to adopt product–service bundling and for regulators and policy makers who want to combat obsolescence.

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2

Levinthal, Daniel A., and Devavrat Purohit. "Durable Goods and Product Obsolescence." Marketing Science 8, no. 1 (February 1989): 35–56. http://dx.doi.org/10.1287/mksc.8.1.35.

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3

Lobonţiu, Gabriela. "Planned Obsolescence and the Product Lifecycle." Applied Mechanics and Materials 371 (August 2013): 857–61. http://dx.doi.org/10.4028/www.scientific.net/amm.371.857.

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Based mainly on an exploratory study of the dedicated literature, the paper is providing a general framework for planned obsolescence and contrived durability, and establishes its place in the product lifecycle, covering also the critics and the shortages, as well as appraisals and potential benefits that planned obsolescence is having for industrial manufacturers.

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4

Rai, Rahul, and Janis Terpenny. "Principles for Managing Technological Product Obsolescence." IEEE Transactions on Components and Packaging Technologies 31, no. 4 (December 2008): 880–89. http://dx.doi.org/10.1109/tcapt.2008.2005115.

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5

Goering, Gregory E., John R. Boyce, and James M. Collins. "R&D and product obsolescence." Review of Industrial Organization 8, no. 5 (October 1993): 609–21. http://dx.doi.org/10.1007/bf01024249.

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Barros, Mário, and Eric Dimla. "FROM PLANNED OBSOLESCENCE TO THE CIRCULAR ECONOMY IN THE SMARTPHONE INDUSTRY: AN EVOLUTION OF STRATEGIES EMBODIED IN PRODUCT FEATURES." Proceedings of the Design Society 1 (July 27, 2021): 1607–16. http://dx.doi.org/10.1017/pds.2021.422.

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AbstractPlanned obsolescence can artificially increase sales by stimulating desire or perceived need. This can be done in many ways and some companies are releasing newer models sooner than necessary or engineering the product to fail after a certain amount of use. In recent years, we have observed a change in the pattern of planned obsolescence strategies employed by technological companies, shifting from aesthetic to technological obsolescence. The reaction to this model comes from social enterprises and grassroots movements addressing the circular economy and repairability. This paper illustrates these relationships in context, taking the mobile phone industry as a case study. We focus on product architecture and product features, as a reference point to discuss the embodiment of strategies, and the degree of control the consumer is given for repairing the product. Using netnography as a method to collect data in a digital-mediated environment, this paper highlights how planned obsolescence strategies are embedded in product characteristics and summarises their evolution. It concludes by opposing planned obsolescence strategies to circular economy principles to discuss more sustainable pathways for the smartphone industry.

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Pardo-Vicente, Miguel-Angel, Patricia Camacho-Magriñan, and Pablo Pavon-Dominguez. "Influence of Technology on Perceived Obsolescence though Product Design Properties." Sustainability 14, no. 21 (November 5, 2022): 14555. http://dx.doi.org/10.3390/su142114555.

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Formal or perceived obsolescence describes the fact that users decide to stop using a product, even though it still fulfils its function. This is because the design is perceived as obsolete, which also leads to negative product semantics. This is often the case with products that are frequently updated to incorporate the latest technology. The aim of this paper is to understand the influence of technology on the perception of design. To this end, 297 people were surveyed about their perception of formal obsolescence in regard to different elements of a car and a smartphone, based on their design properties: shape, colour and material. In addition, technological attributes (some of which were dystopian) were added to these products to assess the influence of current or obsolete technology on participants’ perception of obsolescence. Possible correlations were assessed by means of a chi-square analysis. The results show that technology does not influence all design properties in the same way, with shape being more important than colour or material. This is especially true for multimedia products, such as vehicle displays or smartphones. The results of this paper can help design engineers to create products that last longer, while also reducing their environmental impact.

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8

Fels, Antonia, Björn Falk, and Robert Schmitt. "Social Media Analysis of Perceived Product Obsolescence." Procedia CIRP 50 (2016): 571–76. http://dx.doi.org/10.1016/j.procir.2016.04.147.

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9

Ryś, Adam. "Survey on Reception of Planned Product Obsolescence." Marketing i Zarządzanie 49 (2017): 231–44. http://dx.doi.org/10.18276/miz.2017.49-19.

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10

Amolo, John, and Andrisha Beharry-Ramraj. "Unplanned obsolescence: consumer’s attitudes and perceptions of lifestyle brands in Durban, South Africa." Problems and Perspectives in Management 14, no. 3 (July 29, 2016): 123–32. http://dx.doi.org/10.21511/ppm.14(3).2016.13.

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Planned obsolescence has become a strategy adopted by large corporations, for products to be produced with surprisingly short useful life spans. These shorter than expected product life spans ensure that consumers make regular repeat purchases of their favorite items. The monopoly of obsolescence of products is no longer the producers’ prerogative and this by itself leads to unplanned obsolescence basically led by the consumers choice. This research study looks into consumer’s attitudes and perceptions of their favorite lifestyle brands. This is on the basis that less is known on unplanned obsolescence, which arises from the consumers conduct. This work also investigates why consumers replace products, even though these products are most often still seen as fully functional. This social constructivism study has adopted a quantitative approach through the use of self-administered questionnaires. The 300 participants of the study on which this article is based were selected from the Durban of KwaZulu-Natal in South Africa, and were chosen through stratified random sampling. The study was further cross generational, in order to examine how consumers attitudes change as they become older. It was found that despite knowing the truth relating to the phenomenon consumers were willing to remain loyal

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11

Moon, Kyoung-Sook, Hee Won Lee, Hee Jean Kim, Hongjoong Kim, Jeehoon Kang, and Won Chul Paik. "Forecasting Obsolescence of Components by Using a Clustering-Based Hybrid Machine-Learning Algorithm." Sensors 22, no. 9 (April 23, 2022): 3244. http://dx.doi.org/10.3390/s22093244.

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Product obsolescence occurs in every production line in the industry as better-performance or cost-effective products become available. A proactive strategy for obsolescence allows firms to prepare for such events and reduces the manufacturing loss, which eventually leads to positive customer satisfaction. We propose a machine learning-based algorithm to forecast the obsolescence date of electronic diodes, which has a limitation on the amount of data available. The proposed algorithm overcomes these limitations in two ways. First, an unsupervised clustering algorithm is applied to group the data based on their similarity and build independent machine-learning models specialized for each group. Second, a hybrid method including several reliable techniques is constructed to improve the prediction accuracy and overcome the limitation of the lack of data. It is empirically confirmed that the prediction accuracy of the obsolescence date for the electrical component data is improved through the proposed clustering-based hybrid method.

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Moon, Kyoung-Sook, Hee Won Lee, and Hongjoong Kim. "Adaptive Data Selection-Based Machine Learning Algorithm for Prediction of Component Obsolescence." Sensors 22, no. 20 (October 19, 2022): 7982. http://dx.doi.org/10.3390/s22207982.

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Product obsolescence occurs in the manufacturing industry as new products with better performance or improved cost-effectiveness are developed. A proactive strategy for predicting component obsolescence can reduce manufacturing losses and lead to customer satisfaction. In this study, we propose a machine learning algorithm for a proactive strategy based on an adaptive data selection method to forecast the obsolescence of electronic diodes. Typical machine learning algorithms construct a single model for a dataset. By contrast, the proposed algorithm first determines a mathematical cover of the dataset via unsupervised clustering and subsequently constructs multiple models, each of which is trained with the data in one cover. For each data point in the test dataset, an optimal model is selected for regression. Results of empirical experiments show that the proposed method improves the obsolescence prediction accuracy and accelerates the training procedure. A novelty of this study is that it demonstrates the effectiveness of unsupervised clustering methods for improving supervised regression algorithms.

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Pourebrahimi, Mohammad, Seyed Rahman Eghbali, and Ana Pereira Roders. "Identifying building obsolescence: towards increasing buildings' service life." International Journal of Building Pathology and Adaptation 38, no. 5 (April 6, 2020): 635–52. http://dx.doi.org/10.1108/ijbpa-08-2019-0068.

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PurposeObsolescence is a decline or loss of utility of an object, building or product. Different types of building obsolescence decrease buildings’ utility and shorten their service life. The purpose of this paper is identification of building obsolescence types and the relevant factors that affect buildings to become obsolete. It is also intended to categorise building obsolescence types to provide a contribution towards increasing building service life and delivering sustainability.Design/methodology/approachA systematic literature review is applied to conduct this research. It follows five steps: (1) formulating the research question; (2) locating studies; (3) selecting and evaluating relevant studies; (4) analysing the findings; (5) reporting and making use of the results.FindingsVia this study, it is revealed that there are 33 types of building obsolescence. They are clustered in 10 categories regarding their conceptual and causing aspects and are presented based on their recurrence in the literature. According to the findings, economic obsolescence (including economic, financial and market obsolescence types) and functional obsolescence (including functional, use and utility obsolescence types) are the most remarkable categories.Originality/valueInvestigating the literature makes it clear that building obsolescence types have been studied intermittently with infrequent profound exploration of the relationship between them. This paper presents a comprehensive identification of building obsolescence types and introduces obsolescence categories that classify connected obsolescence types. It is a new framework for further studies on building obsolescence to find more effective prevention strategies to mitigate social, economic and environmental consequences of building obsolescence.

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14

Bilir, L. Kamran. "Patent Laws, Product Life-Cycle Lengths, and Multinational Activity." American Economic Review 104, no. 7 (July 1, 2014): 1979–2013. http://dx.doi.org/10.1257/aer.104.7.1979.

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Do intellectual property rights influence multinationals' manufacturing location decisions? My theoretical model indicates that countries with strong patent laws attract multinational activity, but only in sectors with relatively long product life cycles. By contrast, firms with short life-cycle technologies are insensitive, because offshore imitation is less likely to succeed before obsolescence. I document strong empirical regularities consistent with the model using a panel dataset on the global operations of US-based multinational firms and a new measure of product obsolescence. Moreover, my identification strategy allows me to isolate the causal effect of patent laws on multinational activity. (JEL D92, F23, K11, L60, O34, R32)

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15

Gutiérrez, Oscar. "Planned Obsolescence with Network Effects." Review of Network Economics 19, no. 4 (December 1, 2020): 221–47. http://dx.doi.org/10.1515/rne-2020-0053.

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Abstract This paper appeals to the interplay between network effects and quality to justify the use of planned obsolescence by well-settled firms. We propose a simple contagion model to analyze an asymmetric duopoly market where an incumbent firm benefits, at least initially, from the first‐mover advantages attributed to network industries, while the entrant offers a product with higher quality. The simpler version of the model describes the evolution of the market shares, showing that network effects can overtake the quality effect if the market is sufficiently small. If the market lasts enough, network effects end up enhancing the effect of quality and the entrant gets a higher market share. If the incumbent can set the size of the market by launching a new product every so often, the model provides a rationale for the use of planned obsolescence from a strategic point of view. Social efficiency is then challenged.

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16

Sohn, Yong Seok, Sehoon Park, and Kun Woo Yoo. "Effects of the Perceived Obsolescence on Product Evaluation." Korean Marketing Review 30, no. 3 (August 31, 2015): 89. http://dx.doi.org/10.15830/kmr.2015.30.3.89.

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17

Maulia, Rafika, and Alin Halimatussadiah. "Product obsolescence of cellular phone market in Indonesia: a consumer perspective." E3S Web of Conferences 74 (2018): 05003. http://dx.doi.org/10.1051/e3sconf/20187405003.

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Obsolescence leads to a shorter lifecycle of electronic products which results in generating more electronic waste (e-waste) and excessive use of natural resources to produce goods. It is basically a wearing out of technical or esthetical appliances. Unfortunately, there are only a few studies and data focused on the issue, especially in developing counties. The objective of this study is to show how the lifespan of cellular phone change overtime and to provide data about consumer behavior in the Indonesia’s cellular phone market. A total of 1.030 respondents were recruited from online survey in 13 most populous cities of Indonesia for consumer analysis. Panel regression Common Effect Model (CEM) and Chi-squared independent test were applied as the analytical tools. The result shows that both consumer contribute to the reduction of cellular phone lifecycle. It is confirmed that the lifespan of cellular phone is getting shorter by the year and by the ownership order. In addition, subjective considerations of discarding product significantly reduce cellular phone’s lifespan. Obsolescence is not only an issue that should be addressed to the manufacturers, but also as a responsibility for the consumers.

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Kang, Chang Muk, Yoo S. Hong, and Woonghee Tim Huh. "Platform replacement planning for management of product family obsolescence." IIE Transactions 44, no. 12 (December 2012): 1115–31. http://dx.doi.org/10.1080/0740817x.2012.672791.

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19

Cooper, Tim. "Inadequate Life?Evidence of Consumer Attitudes to Product Obsolescence." Journal of Consumer Policy 27, no. 4 (December 2004): 421–49. http://dx.doi.org/10.1007/s10603-004-2284-6.

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20

Kwak, Minjung. "Optimal Line Design of New and Remanufactured Products: A Model for Maximum Profit and Market Share with Environmental Consideration." Sustainability 10, no. 11 (November 19, 2018): 4283. http://dx.doi.org/10.3390/su10114283.

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For original equipment manufacturers (OEMs), producing a line of new and remanufactured products can be an effective strategy for improving the sustainability of their business. The potential cannibalization of new product sales and the technological obsolescence of used products, however, can create barriers for OEMs to embrace remanufacturing. In order to address these challenges in OEM remanufacturing, this paper proposes a mixed-integer programming model for the optimal line design of new and remanufactured products. Aiming at two objectives, i.e., maximizing the total profit and maximizing the total market share, the model simultaneously optimizes a line of new and remanufactured products in terms of their (1) design specifications (including an upgrade plan for the remanufactured product), (2) selling prices, and (3) production quantities and the detailed production plan. With the simultaneous optimization, the model suggests an optimal way of differentiating the new and remanufactured products in order to overcome the cannibalization and obsolescence effects and to maximize the total profit and/or market share. The model also accounts for environmental impact, stipulating that the total environmental impact of manufacturing remains under a certain limit. To demonstrate the applicability and effectiveness of the model, a case study is presented using the example of a desktop computer.

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Zaabar, Imen, Raul Arango-Miranda, Yvan Beauregard, and Marc Paquet. "A Sustainable Multicriteria Decision Framework for Obsolescence Resolution Strategy Selection." Sustainability 13, no. 15 (August 2, 2021): 8601. http://dx.doi.org/10.3390/su13158601.

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Parts obsolescence has an important impact on the product life cycle, the manufacturing system and the environment leading to operational, logistical, reliability and cost implications. While current resolution models are cost-oriented, multiple studies have revealed that technological obsolescence is strongly involved in the electronic waste problem. In this study, based on academic literature and expert opinions, a sustainable decision framework for obsolescence resolution strategy (ORS) selection is proposed. It consists of economic, environmental, social and technological dimensions, integrating a total of fifteen criteria. Multicriteria decision-making (MCDM) methods are suggested to select the most sustainable solution. A case study was performed where the criteria weights and the alternatives performance were judged by five experts from the fields of environment, economy, human resources and obsolescence and operations management. Results from different MCDM methods were compared to the actual decision to evaluate their effectiveness. Using the suggested framework improved the decision process as integrating sustainability had a drastic impact on the selected strategy and consequently on the company’s performance. In addition to its managerial insights, this paper provides a new research perspective to sustainable and robust obsolescence management to effectively handle the increasing number and severity of obsolete components.

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Jenab, Kouroush, Kourosh Noori, Philip D. Weinsier, and Sam Khoury. "A dynamic model for hardware/software obsolescence." International Journal of Quality & Reliability Management 31, no. 5 (April 29, 2014): 588–600. http://dx.doi.org/10.1108/ijqrm-03-2013-0054.

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Purpose – Since technological lifecycles do not always match hardware/software (HW/SW) lifecycles, obsolescence becomes a major issue in system lifecycle management as it can cause premature and unscheduled replacement of HW/SW subsystems. The purpose of this paper is to report a dynamic model to predict the obsolescence dates for HW/SW subsystems. Design/methodology/approach – The dynamic model estimates obsolescence dates for HW/SW subsystems based on graph theory concept. The model depicts the stages of subsystem obsolescence through transmittances composed of probability and time-distribution elements. The model predicts probability and mean time to obsolescence for line replaceable units (LRUs) over the lifetime of the system. An illustrative example in signaling systems used in a train control system was used to demonstrate the application of this model. Findings – Generally, the short timespan for HW/SW subsystems, which are periodically replaced with newer technologies, results in the development of new product lines by suppliers while they try to support legacy systems for a reasonable period of time. Obsolescence of HW/SW subsystems increases operation and maintenance costs as legacy systems are typically more expensive to maintain. The costs can be reduced by an optimum time to obsolescence derived from the model. Practical implications – This research adds to the body of knowledge on asset management and maintenance strategy. This paper may be of particular interest to reliability, maintainability and availability practitioners and project managers. Originality/value – The originality of this paper lies in developing a graph-based model that predicts probability and mean time to obsolescence for LRUs over the lifetime of the system.

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Li, Yupeng, Mengting Zhang, and Dongping Chen. "Product obsolescence assessment based on the hybrid uncertain Information Axiom." Journal of Engineering Design 32, no. 8 (April 22, 2021): 375–96. http://dx.doi.org/10.1080/09544828.2021.1913486.

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Jennings, Connor, Dazhong Wu, and Janis Terpenny. "Forecasting Obsolescence Risk and Product Life Cycle With Machine Learning." IEEE Transactions on Components, Packaging and Manufacturing Technology 6, no. 9 (September 2016): 1428–39. http://dx.doi.org/10.1109/tcpmt.2016.2589206.

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Jain, Karuna, and Edward A. Silver. "Lot sizing for a product subject to obsolescence or perishability." European Journal of Operational Research 75, no. 2 (June 1994): 287–95. http://dx.doi.org/10.1016/0377-2217(94)90075-2.

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26

Hwang, Nen-Chen Richard. "Value Chain Cost Tracing And Cost System Obsolescence: An Exploratory Study Of Small To Medium-Sized Companies." Journal of Applied Business Research (JABR) 15, no. 4 (August 30, 2011): 95. http://dx.doi.org/10.19030/jabr.v15i4.5664.

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<span>To succeed in todays competitive business environment, corporations need to undertake value chain analysis and select an optimal mix of value chain activities. Based on the data collected from 73 small- to medium-sized companies, this study provides evidence regarding current practices in value chain cost tracing and cost system obsolescence. The research findings indicate that companies do a better job of linking value chain costs to products/product lines than to customers/customer classes. Overall, however, the proportion of each value chain cost attributed to either cost object tends to be low. This indicates that firms management may be rather slow in adopting new management tools. Furthermore, most companies are still using value-based cost allocations, which suggests cost system obsolescence. Implications of this study and future research directions are also discussed.</span>

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Zhao, Zhihua, Yupeng Li, and Xuening Chu. "Data-driven approach to identify obsolete functions of products for design improvements." Journal of Intelligent & Fuzzy Systems 40, no. 3 (March 2, 2021): 5369–82. http://dx.doi.org/10.3233/jifs-202144.

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Identifying defective design elements is a prerequisite for design improvements. Previous identification methods were implemented in the context of static customer requirements (CRs). However, CRs always evolve continuously, which easily leads to a failure of existing product functions in fulfilling customer expectations; this, in turn, can lead to a decline in customer satisfaction. In this study, the phenomenon is termed as ‘function obsolescence’, and a data-driven identification approach for obsolete functions is proposed for design improvements. Firstly, product operating data are employed to construct the observing parameters of functional performance (OPs), and based on the distribution of OPs, the desired level of functional performance (DL) is defined to quantitatively characterise CRs. Secondly, the time series of DL is constructed to embody the evolution of CRs, in which a Sigmoid-like function is employed to establish a dissatisfaction function. With the time series, an obsolescence index measuring the severity of obsolescence for each function is defined to identify obsolete functions. A case study was implemented on a smart phone to identify its obsolete functions to demonstrate the effectiveness of the proposed methodology. The results show that some potentially obsolete functions can be identified by the proposed method considering the evolution of CRs.

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Kondoh, Shinsuke, Keijiro Masui, Mitsuro Hattori, Nozomu Mishima, and Mitsutaka Matsumoto. "Total performance analysis of product life cycle considering the deterioration and obsolescence of product value." International Journal of Product Development 6, no. 3/4 (2008): 334. http://dx.doi.org/10.1504/ijpd.2008.020399.

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Cordero, Rene. "Managing for Speed To Avoid Product Obsolescence: A Survey of Techniques." Journal of Product Innovation Management 8, no. 4 (December 1991): 283–94. http://dx.doi.org/10.1111/1540-5885.840283.

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Rivera, Julio L., and Amrine Lallmahomed. "Environmental implications of planned obsolescence and product lifetime: a literature review." International Journal of Sustainable Engineering 9, no. 2 (December 28, 2015): 119–29. http://dx.doi.org/10.1080/19397038.2015.1099757.

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Rasmussen, Stephanie J. "Revenue Recognition, Earnings Management, and Earnings Informativeness in the Semiconductor Industry." Accounting Horizons 27, no. 1 (September 1, 2012): 91–112. http://dx.doi.org/10.2308/acch-50291.

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SYNOPSIS Manufacturers that sell products to distributors experience product return and pricing adjustment uncertainties until the products are resold to end-customers. Such manufacturers recognize revenue when products are delivered to distributors (sell-in), when distributors resell products (sell-through), or under some combination of these methods (sell-in for some distributor sales and sell-through for others). This study examines the implications of these revenue recognition methods for a sample of semiconductor firms during 2001–2008. Semiconductor firms face rapid product obsolescence, declining prices over product life cycles, and unexpected industry downturns, which naturally lead to product return and pricing adjustment uncertainties. I find that sell-through and combination firms are less likely to manage earnings compared to sell-in firms. I also find that earnings are more informative for sell-through firms compared to both sell-in and combination firms. These findings suggest that manufacturers that sell products through the distribution channel should defer revenue recognition until product return and pricing adjustment uncertainties are resolved. JEL Classifications: M41 Data Availability: Data are available from the sources identified in the text.

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DeBruine, Marinus, and Parvez R. Sopariwala. "Capacity Costs with Time-Based and Use-Based Asset Value Attrition." Accounting Horizons 25, no. 2 (June 1, 2011): 337–56. http://dx.doi.org/10.2308/acch-10023.

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SYNOPSIS Traditional depreciation methods used by financial accounting as well as the capacity-based depreciation method recommended by managerial accounting literature assume that assets either lose value due to obsolescence or wear and tear. Recognizing that many assets lose value due to both obsolescence and use, Balakrishnan, Sivaramakrishnan, and Sunder, in the September 2004 issue of Accounting Horizons, propose a granularity framework that creates a nonlinear allocation by simultaneously considering an asset's use-based and time-based losses. However, their approach over-allocates and assigns all resource costs to periods before its usefulness has expired. We introduce several adjustments to the Balakrishnan et al. (2004) methodology with the notion of “flexibility value” and a partitioning of the cost of the acquired resources into a time-based and use-based component that avoids any over-allocation of resource costs. This approach also permits a further partitioning of those expired costs into costs that should be allocated to production or products and costs that should be allocated to periods as cost of unused or idle capacity—that is, to produce more accurate product costs for pricing and planning purposes. Finally, we offer a real-world example for partitioning a resource's acquisition cost into a use-based component and a time-based component.

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Minguella-Canela, Joaquim, Sergio Morales Planas, Joan Gomà Ayats, and M. de los Santos López. "Assessment of the Potential Economic Impact of the Use of AM Technologies in the Cost Levels of Manufacturing and Stocking of Spare Part Products." Materials 11, no. 8 (August 14, 2018): 1429. http://dx.doi.org/10.3390/ma11081429.

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Additive manufacturing (AM) technologies are appropriate manufacturing technologies to produce low rotation products of high added value. Products in the spare parts business usually have discontinuous demand levels of reduced numbers of parts. Indeed, spare parts inventories handle myriad of products that require big immobilized investments while having an intrinsic risk of no-use (for example due to obsolescence or spoilage). Based on these issues, the present work analyses the fundamental cost factors in a real case study of a company dedicated to the supply of spare parts for fluid conduction systems. Real inventory data is assessed to determine the product taxonomy and its associated costs. A representative product of the stock is analyzed in detail on original manufacturing costs, in AM costs and then redesigned with topological optimization to reduce the AM cost levels (via design for additive manufacturing). A general equation for cost assessment is formulated. Given the specific data collected from the company, the parameters in this general equation are calculated. Finally, the general equation and the product cost reduction achieved are used to explore the potential economic impact of the use of AM technologies in the cost levels of manufacturing and stocking of spare part products.

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Campuzano-Bolarín, Marín-García, Moreno-Nicolás, Bogataj, and Bogataj. "Supply Chain Risk of Obsolescence at Simultaneous Robust Perturbations." Sustainability 11, no. 19 (October 3, 2019): 5484. http://dx.doi.org/10.3390/su11195484.

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The earlier planning methods of supply chains (SC) in the skeleton of the extended material requirements planning (EMRP), where the time horizon of the reverse Laplace is infinite, were not convenient to estimate the impact of the technical obsolescence of the product or technology involved, which has economic, environmental, and social consequences. Therefore, the perturbations of timing are presented until the possible obsolescence, with parallel execution of the network simulation model (NSM) to evaluate the impact of the finite lifespan on the value of the chain. The EMRP, as well as the NSM, are based on the skeleton of the material requirements planning model, where delays and their perturbations are presented transparently. Contrary to the previous studies of the net present value (NPV) in the EMRP skeleton, where the infinite horizon is assumed, the impact of shortening the horizon of activities is shown here, in order to also evaluate the risk of financing investments in the SC with a shorter lifespan of products or technology. Owing to the simultaneous appearances of the stochastic variables, the parallel execution and exchanging of data, using NSM is advised. The procedures for estimation of correction factors of the NPV and their values are given.

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Wonjun Lee. "Control Effect of Consumer Attitude toward Planned Obsolescence on Product Evaluation : Focused on Smart-phone Product." journal of consumer policy studies 44, no. 1 (April 2013): 87–103. http://dx.doi.org/10.15723/jcps.44.1.201304.87.

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Brönneke, Tobias. "Premature Obsolescence: Suggestions for Legislative Counter-measures in German and European Sales & Consumer Law." Journal for European Environmental & Planning Law 14, no. 3-4 (December 6, 2017): 361–72. http://dx.doi.org/10.1163/18760104-01403006.

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Obsolescence – the premature wear and tear of products – is currently a considered topic. There have been a number of recent developments in this area: the European Consumer Organisation (beuc) has recently launched a flagship campaign on durable goods; the European Economic and Social Committee delivered an own-initiative opinion;, the German Environment Protection Agency (uba) has commissioned two comprehensive studies concerning this issue; the European Commission has suggested a Directive on certain areas relating to contracts for online and other distance sales of goods; and, a law providing explicitly for criminal prosecution of planned obsolescence has been recently enacted in France. This article uses the planned evaluation and review of Directive 1999/44/ec as an opportunity to examine what legislative measures could be adopted to counteract premature wear and tear of consumer goods. The author argues for a new system based on existing warranty rights and the norms of the European product legislation, which will generate consumer- and environment-friendly results, whilst also providing flexible measures for the industry.

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Venkatraman, R., and Sitalakshmi Venkatraman. "R&D project selection and scheduling for organizations facing product obsolescence." R&D Management 25, no. 1 (January 1995): 57–70. http://dx.doi.org/10.1111/j.1467-9310.1995.tb00900.x.

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Echegaray, Fabián. "Consumers' reactions to product obsolescence in emerging markets: the case of Brazil." Journal of Cleaner Production 134 (October 2016): 191–203. http://dx.doi.org/10.1016/j.jclepro.2015.08.119.

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Wieser, Harald. "Beyond Planned Obsolescence: Product Lifespans and the Challenges to a Circular Economy." GAIA - Ecological Perspectives for Science and Society 25, no. 3 (January 1, 2016): 156–60. http://dx.doi.org/10.14512/gaia.25.3.5.

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Yamamoto, Haruhisa, and Shinsuke Murakami. "Product obsolescence and its relationship with product lifetime: An empirical case study of consumer appliances in Japan." Resources, Conservation and Recycling 174 (November 2021): 105798. http://dx.doi.org/10.1016/j.resconrec.2021.105798.

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TOM, PAGE. "HAS BUILT-IN OBSOLESCENCE FOR CONTROLLED PRODUCT LIFESPAN INFLUENCED ATTITUDES TOWARDS FOOD WASTE?" i-manager’s Journal on Management 12, no. 4 (2018): 1. http://dx.doi.org/10.26634/jmgt.12.4.14524.

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Menipaz, Ehud. "An Inventory Model with Product Obsolescence and Its Implications for High Technology Industry." IEEE Transactions on Reliability 35, no. 2 (1986): 185–87. http://dx.doi.org/10.1109/tr.1986.4335400.

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Kinokuni, Hiroshi, Shuichi Ohori, and Yasunobu Tomoda. "Optimal Waste Disposal Fees When Product Durability is Endogenous: Accounting for Planned Obsolescence." Environmental and Resource Economics 73, no. 1 (April 9, 2018): 33–50. http://dx.doi.org/10.1007/s10640-018-0248-6.

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Menipaz, Ehud. "An inventory model with product obsolescence with implications to the high technology industry." Engineering Costs and Production Economics 15 (May 1989): 391–95. http://dx.doi.org/10.1016/0167-188x(89)90155-9.

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Lahiri, Bidisha, and Luyi Han. "Effect of product obsolescence on wages: Role of international trade and skill levels." Economics Letters 186 (January 2020): 108851. http://dx.doi.org/10.1016/j.econlet.2019.108851.

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Chadha, Charul, Kathryn Crowe, Christina Carmen, and Albert Patterson. "Exploring an AM-Enabled Combination-of-Functions Approach for Modular Product Design." Designs 2, no. 4 (October 16, 2018): 37. http://dx.doi.org/10.3390/designs2040037.

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This work explores an additive-manufacturing-enabled combination-of-function approach for design of modular products. AM technologies allow the design and manufacturing of nearly free-form geometry, which can be used to create more complex, multi-function or multi-feature parts. The approach presented here replaces sub-assemblies within a modular product or system with more complex consolidated parts that are designed and manufactured using AM technologies. This approach can increase the reliability of systems and products by reducing the number of interfaces, as well as allowing the optimization of the more complex parts during the design. The smaller part count and the ability of users to replace or upgrade the system or product parts on-demand should reduce user risk, life-cycle costs, and prevent obsolescence for the user of many systems. This study presents a detailed review on the current state-of-the-art in modular product design in order to demonstrate the place, need and usefulness of this AM-enabled method for systems and products that could benefit from it. A detailed case study is developed and presented to illustrate the concepts.

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Tsai, Yuan Cheng, and Ming Chia Chen. "A Fuzzy Robust Model to a Project Decision Management for DMSMS Problem." Applied Mechanics and Materials 182-183 (June 2012): 1372–76. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.1372.

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This paper provides a theoretical solution to the problem of diminishing manufacturing sources and material shortage (DMSMS) from a military product support perspective. We build a model of fuzzy risk evaluation of strategies and Robust Inventory strategies to treat as the fitness. An example is used to illustrate the concept developed, which would be meaningful to reduce applicable obsolescence risks and thereby reducing related life cycle costs.

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Tsang, YP, KL Choy, CH Wu, GTS Ho, HY Lam, and PS Koo. "An IoT-based cargo monitoring system for enhancing operational effectiveness under a cold chain environment." International Journal of Engineering Business Management 9 (January 1, 2017): 184797901774906. http://dx.doi.org/10.1177/1847979017749063.

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Differing from managing a general supply chain, handling environmentally sensitive products (ESPs) requires the use of specific refrigeration systems to control the designated range of storage conditions, such as temperature, humidity, and lighting level in a cold chain environment. In general, third-party logistics (3PL) companies are authorized to handle ESPs, who therefore need to have a good cargo monitoring system in the cold chain environment, without which the functional quality is difficult to control and manage. This may result in product deterioration and even inventory obsolescence of the ESPs due to the lack of such systems, so there is a need to develop an effective cargo monitoring system to prevent such situations. This article proposes an Internet of Things-based cargo monitoring system (IoT-CMS) to monitor any environmental changes of ESPs in order to ensure their functional quality throughout the entire cold chain operational environment. Operational efficiency, maintenance strategy, environmental change, and electricity consumption are considered in real-life cold chain operations. Through applying (i) a wireless sensor network to collect real-time product information, together with (ii) fuzzy logic and case-based reasoning techniques to suggest appropriate storage conditions for various ESPs, effective storage guidance can be established. Through conducting the case study in a 3PL company in Hong Kong, the performance in customer satisfaction, obsolescence rate, and inventory visibility after adoption of IoT-CMS is evaluated. It is found that the functional quality of ESPs can be effectively assured, and the overall customer satisfaction is increased.

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Subramoniam, Ramesh, Erik Sundin, Suresh Subramoniam, and Donald Huisingh. "Riding the Digital Product Life Cycle Waves towards a Circular Economy." Sustainability 13, no. 16 (August 10, 2021): 8960. http://dx.doi.org/10.3390/su13168960.

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Data driven organizations such as Amazon and Uber have raised the capabilities and expectations of customers to a new level by providing faster and cheaper products and services. The reviewed literature documented that 10–15% of the online products are returned and in many cases such products are not shelf-ready due to product obsolescence or slight wear and tear, thereby reducing profits. Many of these products are disposed of in landfills. There were very few publications that documented how integration of digitized product life cycle into the business model improves product returns and the remanufacturing processes. As societies continue on, environmentally responsible, digital journeys with connected devices and people, reverse supply chains and remanufacturing will play increased importance in fulfilling customers expanded expectations. The networks are evolving, wherein, data are collected from all phases of the product lifecycles from design, prototype, manufacturing, usage aftermarket, returns remanufacturing and recycling. The objective of this paper’s authors was to describe how all phases of product life cycles can be digitized to improve global reverse supply chains and remanufacturing. The authors performed a literature review and developed case studies to document current and to predict future transformational waves that will become increasingly used in many industrial sectors. The authors made recommendations about the importance of improved product design, reduced processing costs and increased use of remanufactured products based upon data on returns to manufacturers and service providers. This paper contributes to research by providing a framework of a digitized product life cycle integrated with the business process phases including remanufacturing and supported with real-world case studies for practitioners and academicians. The authors outlined potential future topics for academic researchers and practitioners, for expanding usage of digital tools in real-time predictive analytics to improve remanufacturing system’s efficiency and quality.

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Cubitt, Sean. "Telecommunication Networks: Economy, Ecology, Rule." Theory, Culture & Society 31, no. 7-8 (February 2, 2014): 185–99. http://dx.doi.org/10.1177/0263276413511490.

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This essay deals with technologies, techniques, business models and legal structures governing telecommunications infrastructures. Megacities are especially vulnerable to shifting agencies in telecoms provision. This paper addresses the relation of the economics of growth, built-in obsolescence and product life cycles with the complex determinations of telecommunications governance in relation to the physical environment of megacities. It argues that an ‘environmentalism of the poor’ must be integrated into considerations of both ecological critique and analyses of telecommunications infrastructure and business practice.

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