A comprehensive end-of-life strategy decision making approach to handle uncertainty in the product design stage

Ma, Junfeng; Kremer, Gül E. Okudan; Ray, Charles D.

doi:10.1007/s00163-017-0277-0

Cited by 34 publications

(14 citation statements)

References 39 publications

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“…Saaty [19] proposed ANP (network analysis process) to construct the judgment matrix and calculate the weight of the evaluation objective. Ma et al [1] used TOPSIS (the technique for order of preference by similarity to ideal solution) to analyze the sustainability of the product to formulate the optimal end-of-life strategy. Tiwari et al [20] used VIKOR based on rough set (Višekriterijumska Optimizacija i kompromisno Rešenje) to find the optimal design scheme between cost and benefit objectives under uncertainty.…”

Section: Conceptual Design Decisionmentioning

confidence: 99%

“…The current mainstream decision model uses numerical methods to consider multiple design factors (i.e., cost, quality, reliability, etc.) to achieve the optimal decision of the conceptual scheme (CS) [1][2][3]. With the rapid development of technology, the rapid change of users' requirements urges enterprises to develop a new product with a shorter cycle and lower cost [4].…”

Section: Introductionmentioning

confidence: 99%

“…l 23 , fl (2,3) l 43 , fl (4,3) l 14 , fl (1,4) DFND can be described as DF = (K, L, FL), where K represents the set of all nodes, the nodes correspond to the subfunctions in the function structure model, and K = (k1, k2, …, kα), G = {1, 2, …, α} L represents a set of directed edges, and the directed edges correspond to the path of function failure propagation, are shown in Equation 1. FL represents the set of flows on the directed edge so that the DFND is converted into an adjacency matrix FL with α×α elements, as shown in Equations 2and 3.…”

mentioning

confidence: 99%

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Conceptual Scheme Decision Model for Mechatronic Products Driven by Risk of Function Failure Propagation

Jing

Sun

et al. 2020

Sustainability

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Reliability is a major performance index in the electromechanical product conceptual design decision process. As the function is the purpose of product design, the risk of scheme design is easy to be caused when there is a failure (i.e., function failure). However, existing reliability analysis models focus on the failure analysis of functions but ignore the quantitative risk assessment of conceptual schemes when function failures occur. In addition, design information with subjectivity and fuzziness is difficult to introduce the risk index into the early design stage for comprehensive decisions. To fill this gap, this paper proposes a conceptual scheme decision model for mechatronic products driven by the risk of function failure propagation. Firstly, the function structure model is used to construct the function fault propagation model, so as to obtain the influence degree of the subfunction failure. Secondly, the principle solution weight is calculated when the function failure is propagated, and the influence degree of the failure mode is integrated to obtain the severity of the failure mode on the product system. Thirdly, the risk value of failure mode is calculated by multiplying the severity and failure probability of failure mode, and the risk value of the scheme is obtained based on the influence relationship between failure modes. Finally, the VIKOR (Višekriterijumska Optimizacija i kompromisno Rešenje) method is used to make the optimal decision for the conceptual scheme, and then take the cutting speed regulating device scheme of shearer as an example to verify the effectiveness and feasibility of the proposed decision model.

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Section: Conceptual Design Decisionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Conceptual Scheme Decision Model for Mechatronic Products Driven by Risk of Function Failure Propagation

Jing

Sun

et al. 2020

Sustainability

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“…Life cycle assessment (LCA) has been widely used to evaluate a variety of products and processes, such as additively manufactured products (Faludi, Bayley, Bhogal, & Iribarne, ; Ma, Harstvedt, Dunaway, Bian, & Jaradat, ), sustainably considered products (Ma & Kremer, , b; Ma, Kremer, & Ray, ), and supply chains (Browne, Rizet, Anderson, Allen, & Keita, ). Extensive pertinent prior LCA studies have addressed pallets (e.g., Ali, ; Almeida & Bengtsson, ; Anil, ; Carrano, Pazour, Roy, & Thorn, ; Carrano, Thorn, & Woltag, ; Franklin Associates, ; Gasol, Farreny, Gabarrell, & Rieradevall, ; Lee & Xu, ; Ma, Harstvedt, Jaradat, & Smith, ; Tornese, Carrano, Thorn, Pazour, & Roy, ).…”

Section: Introductionmentioning

confidence: 99%

Life cycle assessment comparison of wooden and plastic pallets in the grocery industry

Anil

Kremer

et al. 2020

J of Industrial Ecology

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Wooden and plastic pallets are used extensively in global trade to transport finished goods and products. This article compares the life cycle performance of treated wooden and plastic pallets through a detailed cradle-to-grave life cycle assessment (LCA), and conducts an analysis of the various phytosanitary treatments. The LCA investigates and evaluates the environmental impacts due to the resources consumed and emissions of the product throughout its life cycle. The environmental impacts of the pallets are compared on a one-trip basis and a 100,000-trips basis. Impact categories are chosen with respect to environmental concerns. The results show that on a one-trip basis, wooden pallets with conventional and radio frequency (RF) heat treatment incur an overall carbon footprint of 71.8% and 80.3% lower, respectively, than plastic pallets during their life cycle; and in comparison with wooden pallets treated with methyl bromide fumigation, they incur 20% and 30% less overall carbon footprint. Theoretical calculations of the resource consumption and emissions of RF treatment of pallets suggest that dielectric technology may provide a lowercarbon alternative to both current ISPM 15-approved treatments and to plastic pallets. Methyl bromide fumigation (15.95 kg CO 2 equivalent [eq.]) has a larger carbon footprint than conventional heat treatment (12.69 kg CO 2 eq.) of pallets. For the 100,000-trips basis, the differences are even more significant. The results recommend that wooden pallets are more environmentally friendly than plastic pallets, and conventional and RF heat treatment for wooden pallets is more sustainable than methyl bromide fumigation treatment.

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“…Decision support systems have emerged with the intention of assisting in the observation of conflicting situations and more sustainable management of environmental issues. However, most simulations use incomplete databases or even unknown information, generating answers that are not always reliable (MA et al, 2018). It is to resolve this issue that the use of decision support systems based on fuzzy logic in the assessment of environmental issues is increasingly common.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the rational use of agricultural space for better human occupation

Santos

Souza

Santana

et al. 2020

Int J Innov Educ Res

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Changes in microclimates in urbanized areas are due to direct human interference, such as the replacement of wooded areas by paving and construction in inadequate locations. For the study of environments, climatic variables interpreted in isolation have little informative content because its exist in set. Considering the expansion of urban areas over the rural environment, the characterization of anthropized environments has been an important tool for feeding urban projects that, in order to be sustainable, have used comfort indexes in your evaluations. Another resource currently used are decision support systems, such as those that use fuzzy logic, as they assist in the observation of conflicting situations such as those involving environmental issues. Thus, in this research, the human discomfort index (HDI) was used to assess 6 different microclimates and to verify the degree of interference of rural anthropization in human thermal comfort and with the observed information build a mathematical model based on fuzzy logic, relating climatic variables and microenvironments, in which the response variable were levels of human well-being. In the end, it was possible to conclude that the urbanization process in rural areas influences the microclimate and quality of the environments, reflecting human thermal comfort. In addition, the Fuzzy model constructed estimated the observed scenarios in a coherent manner, serving to assist in the management of agricultural environments and decision making.

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A comprehensive end-of-life strategy decision making approach to handle uncertainty in the product design stage

Cited by 34 publications

References 39 publications

Conceptual Scheme Decision Model for Mechatronic Products Driven by Risk of Function Failure Propagation

Conceptual Scheme Decision Model for Mechatronic Products Driven by Risk of Function Failure Propagation

Life cycle assessment comparison of wooden and plastic pallets in the grocery industry

Evaluation of the rational use of agricultural space for better human occupation

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