Reverse logistics network design with stochastic lead times

Lieckens, Kris; Vandaele, Nico

doi:10.1016/j.cor.2005.03.006

Cited by 209 publications

(82 citation statements)

References 21 publications

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“…Focusing on companies involved in reuse activities, the performance measures that are usually considered (Lieckens andVandaele, 2007, Prahinski andKocabasoglu, 2006 etc. ) Even from the variety of metrics and measures mentioned previously and their cross functional impacts, it is obvious that the complexity of managing reverse logistics processes should not be ignored.…”

Section: Environmental Consciousness and Performance Measuresmentioning

confidence: 99%

A multi-period model for managing used product returns

Nenes

Nikolaidis

2012

International Journal of Production Research

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During the last decades there has been a consistent need for companies to manufacture "green" products in order to contribute to environmental protection. The utilization of used products (literally, the extension of their useful life cycle) is an excellent, indirect way for companies to conform to this requirement and, at the same time, increase their profit. In this paper a Mixed Integer Linear Programming mathematical model is proposed, which can be used for the optimization of procurement, remanufacturing, stocking and salvaging decisions. The model is flexible enough to incorporate multiple suppliers, several quality levels of returned products and multiple periods of time.The applicability of the model is demonstrated through the optimization of alternative scenarios, the optimal solutions of which reveal the potential profitability of used products exploitation.

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Section: Environmental Consciousness and Performance Measuresmentioning

confidence: 99%

A multi-period model for managing used product returns

Nenes

Nikolaidis

2012

International Journal of Production Research

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“…GA has been applied to the network design problem for reverse logistics as well (Min et al 2006, Ko and Evans 2007, Lieckens and Vandaele 2007. Because of this proven effectiveness of GA for various combinatorial problems, it has been adopted in this research to perform stochastic search for solutions.…”

Section: Solution Methodologymentioning

confidence: 99%

Modelling and optimisation of a product recovery network

Harding

Swarnkar

2009

International Journal of Sustainable Engineering

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An appropriate logistics network is an important element of the infrastructure of any product recovery company. Small and medium enterprises (SMEs) constitute a major fraction of the product recovery industry with a different business objective and scale of operation from those of original equipment manufacturers. This paper addresses the network design issues for SMEs involved in product recovery activities. A mathematical formulation is presented in an SME context and a subsequent simulation model is developed. A genetic algorithm approach is presented for optimizing the network for single product scenario.

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“…6 Between January 2007 and March 2013, a total of 382 papers are published in scientific journals. The gaps in modeling of CLSC networks are classified into the following: 6 Nonlinear programming and convex optimization Queuing models 7 Graph-based models (Petri nets) Markov decision process 8 Piecewise interval programming 9 Dynamic regression 10 Statistical approaches 11 Interval mathematics 12 A limited number of Petri net models of supply chain are available in the literature, with very few Petri net models describing CLSC, especially using the FOHPN.…”

Section: Introductionmentioning

confidence: 99%

Modeling and performance analysis of a closed-loop supply chain using first-order hybrid Petri nets

Outmal

Kamrani

Nasr

et al. 2016

Advances in Mechanical Engineering

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Green or closed-loop supply chain had been the focus of many manufacturers during the last decade. The application of closed-loop supply chain in today's manufacturing is not only due to growing environmental concerns and the recognition of its benefits in reducing greenhouse gas emissions, energy consumption, and meeting a more strict environmental regulations but it also offers economic competitive advantages if appropriately managed. First-order hybrid Petri nets represent a powerful graphical and mathematical formalism to map and analyze the dynamics of complex systems such as closed-loop supply chain networks. This article aims at illustrating the use of first-order hybrid Petri nets to model a closed-loop supply chain network and evaluate its operational, financial, and environmental performance measures under different management policies. Actual data from auto manufacturer in the United States are used to validate network's performance under both tactical and strategic decision-making, namely, (1) tactical decision-production policies: increase of recovered versus new components and (2) strategic decision-closed-loop supply chain network structure: manufacturer internal recovery process or recovery process done by a third-party collection and recovery center. The work presented in this article is an extension of the use of first-order hybrid Petri nets as a modeling and performance analysis tool from supply chain to closed-loop supply chain. The modularity property of first-order hybrid Petri nets has been used in the modeling process, and the simulation and analysis of the modeled network are done in MATLAB Ò environment. The results of the experiments depict that first-order hybrid Petri nets are a powerful modeling and analysis formalism for closed-loop supply chain networks and can be further used as an efficient decision-making tool at both tactical and strategic levels. Unlike other researches on modeling supply chain networks that focus on evaluating individually cost, operational, or environmental aspects, the research here shows how first-order hybrid Petri nets can be extended to assess simultaneously operational, financial, and environmental network's performance measures at different managerial decision-making levels. The results particularly are compelling for researchers and industrial practitioners who can use the same methodology in evaluating their network's performance and making educated management decisions based on the performance results and the impact of their selected supply chain and manufacturing strategies.

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Reverse logistics network design with stochastic lead times

Cited by 209 publications

References 21 publications

A multi-period model for managing used product returns

A multi-period model for managing used product returns

Modelling and optimisation of a product recovery network

Modeling and performance analysis of a closed-loop supply chain using first-order hybrid Petri nets

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