Multicriteria decision-aid approach for product end-of-life alternative selection

Bufardi, Ahmed; Gheorghe, Razvan; Kiritsis, Dimitris; Xirouchakis, Paul

doi:10.1080/00207540410001699192

Cited by 75 publications

(52 citation statements)

References 17 publications

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“…This class of papers only grew to a substantial level since the year 2004. Bufardi et al [2006] study the selection of alternatives for treating a product at its end of life based on economical, environmental and social criteria. The paper proposes a multicriteria decision-aid (MCDA) approach to aid the decision-maker in selecting the best end-of-life alternatives.…”

Section: Supply Chain Model Issues In Reverse Logisticsmentioning

confidence: 99%

From closed-loop to sustainable supply chains: the WEEE case

Neto

Walther

Bloemhof-Ruwaard

et al. 2009

International Journal of Production Research

172

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Section: Supply Chain Model Issues In Reverse Logisticsmentioning

confidence: 99%

From closed-loop to sustainable supply chains: the WEEE case

Neto

Walther

Bloemhof-Ruwaard

et al. 2009

International Journal of Production Research

172

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“…where, as in Condition 1, X (Y) is binomially distributed with parameters n t (n t -i), respectively, and r, and from Lemma 1 (a) and (b), the expressions that multiply c 4 and c 5 are nonnegative.…”

Section: N I R K N R K C K N I R K N R Ic Irc C E X N R E Y N I R Cmentioning

confidence: 99%

“…Recent work by Nakashima et al (2004) illustrated how this uncertainty, which they characterized in terms of a virtual inventory level, can be modeled in a Markov decision process for controlling a remanufacturing system. Multiple criteria may require consideration, such as in the selection of alternatives for product end-of-life disposition (Bufardi et al, 2004).…”

Section: Literature Review On Outsourcing Rl Functionsmentioning

confidence: 99%

“…We assume the following relationships between the cost parameters: (4) states that the cost of decreasing the firm's capacity is no greater than the cost of maintaining it for an additional period. Also, (5) is reasonable because 7 c must cover both fixed and variable costs for the 3PRLP, whereas 4 c consists only of the variable cost for the firm. Because of the economies of scale expected to exist because RL is a core activity for the 3PRLP, fixed costs per unit for the 3PRLP are lower than fixed costs per unit for the firm.…”

Section: Markov Decision Modelmentioning

confidence: 99%

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A Markov decision model to evaluate outsourcing in reverse logistics

Serrato

Ryan

Gaytán

2007

International Journal of Production Research

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One of the most important decisions regarding reverse logistics (RL) is whether to outsource such functions or not, due to the fact that RL does not represent a production or distribution firm's core activity. To explore the hypothesis that outsourcing RL functions is more suitable when returns are more variable, we formulate and analyse a Markov decision model of the outsourcing decision. The reward function includes capacity and operating costs of either performing RL functions internally or outsourcing them and the transitions among states reflect both the sequence of decisions taken and a simple characterization of the random pattern of returns over time. We identify sufficient conditions on the cost parameters and the return fraction that guarantee the existence of an optimal threshold policy for outsourcing. Under mild assumptions, this threshold is more likely to be crossed, the higher the uncertainty in returns. A numerical example illustrates the existence of an optimal threshold policy even when the sufficient conditions are not satisfied and shows how the threshold for outsourcing decreases while the probability of crossing any fixed threshold increases with the return fraction. KeywordsMarkov decision model, monotone policy, outsourcing, product life cycle, reverse logistics Abstract.One of the most important decisions regarding reverse logistics (RL) is whether to outsource such functions or not, due to the fact that RL does not represent a production or distribution firm's core activity. To explore the hypothesis that outsourcing RL functions is more suitable when returns are more variable, we formulate and analyze a Markov decision model of the outsourcing decision. The reward function includes capacity and operating costs of either performing RL functions internally or outsourcing them, and the transitions among states reflect both the sequence of decisions taken and a simple characterization of the random pattern of returns over time. We identify sufficient conditions on the cost parameters and the return fraction that guarantee the existence of an optimal threshold policy for outsourcing. Under mild assumptions, this threshold is more likely to be crossed, the higher the uncertainty in returns. A numerical example illustrates the existence of an optimal threshold policy even when the sufficient conditions are not satisfied and shows how the threshold for outsourcing decreases while the probability of crossing any fixed threshold increases with the return fraction.

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“…Among these methods, the most popular ones are scoring models, analytic hierarchy process -AHP, analytic network process -ANP, axiomatic design -AD, utility models, TOPSIS, ELECTRE and PROMETHEE. It is essential to develop all the elements related to the situation of MCDM in detail before selecting an appropriate MCDM method to solve the problem under consideration (Bufardi et al 2004, Mergias et al 2007). …”

Section: Introductionmentioning

confidence: 99%

Mining method selection by integrated AHP and PROMETHEE method

Bogdanović¹,

Nikolić²,

Ilić³

2012

An. Acad. Bras. Ciênc.

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Selecting the best mining method among many alternatives is a multicriteria decision making problem. The aim of this paper is to demonstrate the implementation of an integrated approach that employs AHP and PROMETHEE together for selecting the most suitable mining method for the "Coka Marin" underground mine in Serbia. The related problem includes five possible mining methods and eleven criteria to evaluate them. Criteria are accurately chosen in order to cover the most important parameters that impact on the mining method selection, such as geological and geotechnical properties, economic parameters and geographical factors. The AHP is used to analyze the structure of the mining method selection problem and to determine weights of the criteria, and PROMETHEE method is used to obtain the final ranking and to make a sensitivity analysis by changing the weights. The results have shown that the proposed integrated method can be successfully used in solving mining engineering problems.

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Multicriteria decision-aid approach for product end-of-life alternative selection

Cited by 75 publications

References 17 publications

From closed-loop to sustainable supply chains: the WEEE case

From closed-loop to sustainable supply chains: the WEEE case

A Markov decision model to evaluate outsourcing in reverse logistics

Mining method selection by integrated AHP and PROMETHEE method

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