Information and Communication Technology Enabling Reverse Logistics

Kokkinaki, Angelika; Zuidwijk, Rob; Nunen, Jo van; Dekker, Rommert

doi:10.1007/978-3-540-24803-3_16

Cited by 13 publications

(8 citation statements)

References 6 publications

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“…Kokkinaki et al (2004) and Van Nunen and Zuidwijk (2004) deal with monitoring products in the field. In all mentioned cases, product returns are still stochastic and have to be predicted.…”

Section: Forecasting Product Returns In Clscmentioning

confidence: 99%

“…However, in some industries the timing of the return is more or less known beforehand, when lease contracts are common business practice (Gupta and Palsule-Desai, 2011). Kokkinaki et al (2004) and Van Nunen and Zuidwijk (2004) deal with monitoring products in the field. In all mentioned cases, product returns are still stochastic and have to be predicted.…”

Section: Forecasting Product Returns In Clscmentioning

confidence: 99%

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Forecasting product returns in closed‐loop supply chains

Krapp

Nebel

Sahamie

2013

International Journal of Physical Distribution &Amp; Logistics Management

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this paper is to provide a generic forecasting approach for predicting product returns in closed-loop supply chains. Design/methodology/approach -The approach is based on Bayesian estimation techniques. It permits to forecast product returns on the basis of fewer restrictions than existing approaches in CLSC literature. A numerical example demonstrates the application of the proposed approach using return times drawn from a Poisson distribution. Findings -The Bayesian estimation approach provides at least 50 percent higher accuracy in terms of error measures compared to traditional methods in all scenarios examined in the empirical part.Hence, more precise results can be obtained when predicting product returns.Research limitations/implications -The flexibility of the proposed approach allows for numerous applications in the field of CLSC research. Areas that depend on the results from a forecasting system, such as inventory management, can embed our estimation procedure in order to reduce safety stocks. Further research should address the incorporation of the quality of returned products and its impact on the actual utilizable amount of product returns. Originality/value -The generic character of the proposed forecasting approach leaves degrees of freedom to the user when adapting it to a specific problem. This adaptability is enabled by the following features: first, an arbitrary function is allowed for capturing the customers' demand. Second, the stochastic timeframe between sale and product return may follow an arbitrary distribution. Third, by adjusting two parameters finite as well as infinite planning horizons can be incorporated. Fourth, no assumptions regarding the joint distribution of product returns are necessary.

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“…Kokkinaki et al (2004) and Van Nunen and Zuidwijk (2004) deal with monitoring products in the field. In all mentioned cases, product returns are still stochastic and have to be predicted.…”

Section: Forecasting Product Returns In Clscmentioning

confidence: 99%

Section: Forecasting Product Returns In Clscmentioning

confidence: 99%

Forecasting product returns in closed‐loop supply chains

Krapp

Nebel

Sahamie

2013

International Journal of Physical Distribution &Amp; Logistics Management

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“…support organizations to gather data and investigate the product recovery processes in real time with minimum effort (Trappey et al, 2009). ICT systems for PRS also support in making decisions on different recovery options available and also to cater the product recovery needs of various organizations (Kokkinaki et al, 2004). The adoption of ICTs when combines with the flow of information in PRS results in information-facilitated product recovery system (IFPRS) that helps in decision-making for various recovery strategies available.…”

Section: Introductionmentioning

confidence: 99%

Identification and prioritization of issues to implementation of information-facilitated product recovery system for a circular economy

Dwivedi

Agrawal

Madaan

2020

MSCRA

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PurposeInformation-facilitated product recovery system (IFPRS) has captivated industry attention and has developed into a matter of consideration among the researchers because of enhanced climate concerns, jurisdictive logics and societal liabilities. Although IFPRS implementation has become an essential aspect in manufacturing industries functional in the developed nations, still, limited consideration has been given in the literature to analyze the issues to IFPRS implementation for a circular economy (CE) in emerging and developing nations. Therefore, the objective of this study is to recognize issues to implementing IFPRS for a CE in context of select manufacturing industries in India.Design/methodology/approachIn this study, 24 potential issues are established from the literature and from suggestions from the experts. The issues are clubbed under five different perspectives of technical, government, organization, policy and knowledge. Further, fuzzy VIKOR technique is applied on the results obtained to prioritize the identified issues. A sensitivity analysis has been carried out to check the robustness of the framework.FindingsThe present study shows that lack of skills and expertise in IFPRS implementation for a CE (I2), deficient capital to implement a CE in IFPRS (I9), inadequate in adopting recent IT technology (I18), feasibility of IFPRS employment for a CE (I6) and no efficient training and program to CE adoption (I21) are the top five potential issues in implementing IFPRS practices for a CE in Indian manufacturing industries.Research limitations/implicationsIn literature, limited study has been observed on determining issues to implementation of IFPRS for a CE. A more systematic method and statistical confirmation is necessary to establish further new confronting issues. This study is limited to Indian manufacturing industries.Originality/valueThe main contribution of this study includes identification of issues and later prioritizing them to reflect their severity. This would help the industry practitioners to formulate strategies for handling the issues conveniently.

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“…ΕΟΚ σχετικά με την παρακολούθηση και τον έλεγχο των μεταφορών αποβλήτων στο εσωτερικό της Κοινότητας καθώς και κατά την είσοδο και έξοδό τους.Οι ΤΠΕ στο πλαίσιο της αντίστροφης εφοδιαστικής αλυσίδας χρησιμοποιούνται από τις εταιρείες στις εξής περιπτώσεις(Kokkinaki et al, 2004): 1. Σε στοιχεία του προϊόντος, δηλαδή, στοιχεία σχετικά με την κατάσταση…”

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“…Application Programming Interfaces-API). Οι ΤΠΕ που χρησιμοποιούνται στην αντίστροφη εφοδιαστική αλυσίδα για τη διαχείριση επιστροφών προϊόντων είναι οι εξής: eco-tools, installed base monitoring systems, MRP/ERP συστήματα και συστήματα διαχείρισης αποβλήτων(Kokkinaki et al, 2004). ΤΠΕ από εταιρείες στον τομέα της αντίστροφης εφοδιαστικής αλυσίδας μπορεί να έχει θετικό αντίκτυπο στην απόδοση της επιχείρησης τόσο σε οικονομικό επίπεδο, όσο και σε επίπεδο παροχής ποιοτικών υπηρεσιών.…”

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Aντίστροφη Εφοδιαστική Αλυσίδα Και Ευέλικτα Πληροφοριακά Συστήματα

Panousopoulou¹,

Πανουσοπούλου²

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Η διδακτορική διατριβή με τίτλο: Αντίστροφη Εφοδιαστική Αλυσίδα και Ευέλικτα Πληροφοριακά Συστήματα: Μοντελοποίηση Διαδικασιών και Εφαρμογή στον κλάδο της κινητής τηλεφωνίας στην Ελλάδα στόχο έχει τη δημιουργία ενός ολιστικού μοντέλου εφαρμογής Reverse Logistics ενσωματώνοντας στοιχεία των τεχνολογιών και πληροφοριακών συστημάτων που χρησιμοποιούνται ή μπορούν να χρησιμοποιηθούν για την καλύτερη απόδοση του συστήματος, και την παράμετρο της ποιότητας και των δεικτών απόδοσης συστήματος RL. Η διατριβή εστιάζει στην εφαρμογή πρακτικών αντίστροφης εφοδιαστικής και του προτεινόμενου μοντέλου στον κλάδο της κινητής τηλεφωνίας, στον οποίο πραγματοποιήθηκε και πρωτογενής έρευνα. Η διατριβή αποτελείται από δύο μέρη, όπου στο πρώτο μέρος περιλαμβάνεται η παρουσίαση του ευρύτερου θεωρητικού πλαισίου και εννοιών πάνω στις οποίες δομείται το μοντέλο που προτείνεται. Το δεύτερο μέρος εστιάζει στην ποσοτική και ποιοτική έρευνα των παραμέτρων του μοντέλου, στον κλάδο των κινητών τηλεφώνων ώστε να εξεταστεί πως οι εταιρείες του κλάδου εφαρμόζουν την αντίστροφη εφοδιαστική αλυσίδα ώστε να γίνουν και οι αντίστοιχες προτάσεις αξιοποίησης του μοντέλου.

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Information and Communication Technology Enabling Reverse Logistics

Cited by 13 publications

References 6 publications

Forecasting product returns in closed‐loop supply chains

Forecasting product returns in closed‐loop supply chains

Identification and prioritization of issues to implementation of information-facilitated product recovery system for a circular economy

Aντίστροφη Εφοδιαστική Αλυσίδα Και Ευέλικτα Πληροφοριακά Συστήματα

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