A comparison of RFID-based shelf replenishment policies in retail stores under suboptimal read rates

Thiesse, Frédéric; Buckel, Thomas

doi:10.1016/j.ijpe.2014.09.002

Cited by 53 publications

(11 citation statements)

References 34 publications

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“…The lack of expertise in all areas of the supply chain as a barrier, H5, is supported by strong evidence, which corroborates the findings of Dwivedi et al (2017), Thiesse and Buckel (2015) and Heinen and Hoberg (2019). The strong co-occurrence of the codes “additive manufacturing expertise” and “problem” (0.22) is indicative of the issue.…”

Section: Discussionsupporting

confidence: 69%

Assessing industrial barriers of additively manufactured digital spare part implementation in the machine-building industry: a cross-organizational focus group interview study

Chekurov

Salmi

Verboeket

et al. 2021

JMTM

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PurposeAlthough additive manufacturing (AM) has been demonstrated to have significant potential in improving spare part delivery operations and has been adopted to a degree in the aviation and automotive industries, its use in spare part production is still limited in other fields due to a variety of implementation barriers. The purpose of this article is to assess the significance of previously reported barriers in the context of the machine-building industry.Design/methodology/approachAdoption barriers are identified from the literature and formulated as hypotheses, which are verified with a set of focus group interviews consisting of original equipment manufacturers (OEMs), AM service providers and quality inspection and insurance institutions. The results of the interviews are reported qualitatively, and the transcripts of the interviews are subjected to quantitative content analysis.FindingsThe article identifies distrust in quality, insufficient material and design knowledge among stakeholders and poor availability of design documentation on spare parts as the key barriers of adopting AM in the production of spare parts. The three key barriers are interconnected and training engineers to be proficient in design and material issues as well as producing high-quality design documentation will yield the highest increase in AM implementation in spare parts.Originality/valueThe article offers a unique approach as it investigates the subjective views of a cross-organizational group of industrial actors involved in the machine-building industry. The article contributes to the theory of digital spare parts by verifying and rejecting presented barriers of AM implementation and how they are interconnected.

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Section: Discussionsupporting

confidence: 69%

Assessing industrial barriers of additively manufactured digital spare part implementation in the machine-building industry: a cross-organizational focus group interview study

Chekurov

Salmi

Verboeket

et al. 2021

JMTM

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“…Publications reporting IoT applications in various areas include pharmaceutical supply chain (Datta 2016;Papert, Rimpler, and Pflaum 2016), retail industry (Vlachos 2014;Shin and Eksioglu 2015;Thiesse and Buckel 2015;Nowodzinski, Łukasik, and Puto 2016;Balaji and Roy 2017), construction industry ( Shin et al 2011;Demiralp, Guven, and Ergen 2012;Dave et al 2016;Zhong et al 2017) and petrochemical industry (Li (2016)), among other applications.…”

Section: Other Applicationsmentioning

confidence: 99%

Internet of things and supply chain management: a literature review

Ben‐Daya

Hassini

Bahroun

2017

International Journal of Production Research

960

541

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This paper explores the role of Internet of Things (IoT) and its impact on supply chain management (SCM) through an extensive literature review. Important aspects of IoT in SCM are covered including IoT definition, main IoT technology enablers and various SCM processes and applications. We offer several categorisation of the extant literature, such as based on methodology, industry sector and focus on a classification based on major supply chain processes. In addition, a bibliometric analysis of the literature is also presented. We find that most studies have focused on conceptualising the impact of IoT with limited analytical models and empirical studies. In addition, most studies have focused on the delivery supply chain process and the food and manufacturing supply chains. Areas of future SCM research that can support IoT implementation are also identified.

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“…Next advantage of IoT adoption is the development of an effective tracked and traced system for SC entities (Uddin and Al Sharif 2016). Further, IoT adoption can be achieved in managing and controlling the inventory's level (Fan et al 2015;Reaidy et al 2015;Thiesse and Buckel 2015), improving different business's practices and integrating their strategies (Mann 2015), to increase performance at operations levelby improving resilient capabilities in any SC disruption (Ferretti and Schiavone 2016;Li and Li 2017).…”

Section: Role Of Iot Technology In Developing Coordination Systemmentioning

confidence: 99%

Internet of things (IoT) based coordination system in Agri-food supply chain: development of an efficient framework using DEMATEL-ISM

Yadav

Luthra²,

Garg

2020

Oper Manag Res

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Supply Chain Management (SCM) is one of the key aspects of making agriculture sector more competitive in India. India and other developing countries arefacing issues for coordination of their Agriculture Food Supply Chain Management (AFSCM) as not having technical and resources support; especially in natural disaster condition like recent COVID-19 outbreak. The purpose of this research is to develop anInternet of Things (IoT) based efficient and supportive coordinating system for enhancing the coordinating mechanism in AFSC under natural outbreaks. With the help of a literature review and experts' inputs, seven enablers have been identified by grouping thirty sub enablers. Further, ISM methodology has been employed for developing a framework for enablers' relationships to improve the coordination in the AFSC for taking strategic and operational decisions. After that, DEMATELtechnique is utilised to develop the causal and effectrelationships between all the identified enablers of a coordination system in IoT based AFSC. It has been noticed that'Top Management Support (TMS)' is the main driver by MICMAC analysis and categorised in a cause group based on (R-C) value. Further, the coordination index of the entire model is calculated based on the Cleveland theory. This paper also discussed a case study of the sugar mill industry. This paper also discussed stakeholder theory in developing IoT based coordination system of AFSC. Further, theoretical contribution may also guide the managers of the organisation in developing their strategies by using Strengths-Weaknesses-Opportunities-Threats (SWOT) analysis based on Cleveland index. Keywords COVID-19. Internet of things (IoT). Agriculture food supply chain (AFSC). DEMATEL. Coordination index

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A comparison of RFID-based shelf replenishment policies in retail stores under suboptimal read rates

Cited by 53 publications

References 34 publications

Assessing industrial barriers of additively manufactured digital spare part implementation in the machine-building industry: a cross-organizational focus group interview study

Assessing industrial barriers of additively manufactured digital spare part implementation in the machine-building industry: a cross-organizational focus group interview study

Internet of things and supply chain management: a literature review

Internet of things (IoT) based coordination system in Agri-food supply chain: development of an efficient framework using DEMATEL-ISM

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