A multi-period model for managing used product returns

Nenes, George; Nikolaidis, Yiannis

doi:10.1080/00207543.2011.609650

Cited by 45 publications

(18 citation statements)

References 31 publications

(23 reference statements)

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“…5 The number of studies by topics in Core Acquisition Management research back price). Various optimization modeling methods are used, such as game theory [16], optimal control [74], Markov chain [109], mixed integer programming [78]. However, the acquisition function (the relationship between the acquisition volume and acquisition effort) is less obvious.…”

Section: Overviewmentioning

confidence: 99%

Core (product) Acquisition Management for remanufacturing: a review

2015

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractCore acquisition is essential for the success of remanufacturing business. To describe the current status of the quantitative research in Core Acquisition Management and to indicate possible future research directions, a literature review is conducted in this paper about the quantitative modeling in Core Acquisition Management research area. The activities included in Core Acquisition Management are categorized into topics such as acquisition control, forecasting return, return strategies, quality classification and reverse channel design. While most of the studies focus on acquisition control, studies on return strategies and return forecast are relatively limited. Furthermore, this paper analyzes the research papers according to the key assumptions such as, hybrid/non-hybrid remanufacturing systems, acquisition functions, quality classification methods and perfect/imperfect substitutions. In conclusion, studies based on the assumptions of non-hybrid remanufacturing systems and imperfect substitution should gain more attentions, since these situations frequently occur in practice but are less investigated in the existing literature. In addition, empirical validation of the various forms of the acquisition function (relations between acquisition incentives and acquisition volume) should be important for further investigations.

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Section: Overviewmentioning

confidence: 99%

Core (product) Acquisition Management for remanufacturing: a review

2015

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“…Various mathematical modeling approaches such as Mixed Integer Linear Programming (MILP) [3]- [5], Mixed Integer Non-Linear Programming (MINLP) [6], Continuous Approximation (CA) [7], System Dynamic Modeling (SDM) [8]- [10] and Fuzzy Goal Programming (FGP) [11] have been used by researchers to design mathematical modeling GrSC problems. Recently, with regards to literatures in most of cases considering environmental constraints, parameters and variables along with economic issues to supply chain leads to complex models.…”

Section: Introductionmentioning

confidence: 99%

A Review of Nature-Based Algorithms Applications in Green Supply Chain Problems

Sadrnia¹,

Soltani²,

Zulkifli³

et al. 2014

IJET

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Abstract-In the recent years, there is a significant attention among researchers and practitioners to environmental issues and green supply chain (GrSC) because of legislations and profit oriented motivations.Because of considering environmental issues GrSC besides the economic variables, the models are very difficult to find optimal. Hence, complicated green problems call for development of modern optimization methods and algorithms to solve optimization models by efficient techniques. In recent decades, meta-heuristic algorithms have been developed to overcome the problem that most of them are inspired from nature. Some of the algorithms have been inspired from natural generation, some of them inspired from swarm behavior, and others simulate natural processes. In this research we summarize the recent advance evolutionary optimization algorithms and swarm intelligence algorithms which are applied to GrSC and green logistics. Literature reviewed in this paper shows the current state of the art and discusses the potential future research trends.Index Terms-Evolutionary algorithms, green supply chain, meta-heuristic, swarm intelligence algorithms.

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“…Nenes and Nikolaidis [22] presented a MILP model for optimizing the decisions of a remanufacturing company carrying out procurement, remanufacturing, salvaging and stocking of used products for multiple periods of time. The result indicates that the potential profitability of using the proposed model over the simple alternative of using multiple times for a single period model may be substantial.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Constraint (21) makes sure that the sum of the inflows to each repair center from all the first customers is equal to the sum of the outflows from each repair center to all the first customers. Constraint (22) makes sure that the sum of the outflows from each first customer as EOL via retailer or directly to the CDRs is less than or equal to the demand fraction for EOL returns of the sum of the demands of the first customers. Constraint (23) makes sure that the sum of the outflows from each first customer as EOL via retailer to the CDRs is less than or equal to its return fraction of the sum of the EOL returns.…”

Section: Objective Functionmentioning

confidence: 99%

An Integrated Multi-Echelon Model for a Sustainable Closed Loop Supply Chain Network Design

Aravendan¹,

Panneerselvam²

2014

IIM

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The integration of entire supply and value chain into a closed loop network is gaining more importance in recent times in order to ensure a business to be economically and environmentally sustainable with the changing trends in business and social environments, growing environmental consciousness in the society and government legislations to protect the environment as well as the business. In this context, this paper considers a multi-echelon closed loop supply chain network design with forward and reverse logistics components. An attempt has been made to develop a mixed integer non-linear programming model for this problem with different costs so that the sum of the total cost is minimized subject to different constraints pertaining to capacities of the entities of the system, demands of first customers and second customers. A generalized model is presented and then its application is illustrated using an example problem by solving the model using LINGO14. This model forms as a tool to compare future meta-heuristics to check the closeness of their solutions with corresponding optimal solutions.

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A multi-period model for managing used product returns

Cited by 45 publications

References 31 publications

Core (product) Acquisition Management for remanufacturing: a review

Core (product) Acquisition Management for remanufacturing: a review

A Review of Nature-Based Algorithms Applications in Green Supply Chain Problems

An Integrated Multi-Echelon Model for a Sustainable Closed Loop Supply Chain Network Design

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