Push and pull disassembly quantity models in a reverse supply chain: the case of an automobile disassembly system in Korea

Son, Dong-Hoon; An, Seung-Beom; Kim, Hwa-Joong; Jang, Jin-Myeong

doi:10.1080/13675567.2021.1899148

Cited by 4 publications

(5 citation statements)

References 34 publications

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“…Legitimate promotion by the government about blockchain's benefits to RL may lead to an improved public perception of the technology, furthering its usage in the automobile industry. Through effective RL operations, the automobile industry can also cut out inefficient returns processes that result in unnecessary transportation moves, helping to reduce carbon emissions and improve air quality (Son et al, 2021). Moreover, using BCT in order to trace returns and initial orders, even if customers are business-to-business buyers, would enhance consumer confidence (see Figure 10).…”

Section: Dimension-wise Cause and Effect Analysismentioning

confidence: 99%

“…In forward logistics, raw materials are transported to manufacturers to produce goods, which are subsequently moved for distribution to authorized retailers and then sold to consumers (Hansen et al, 2018). RL, on the other hand, entails a sequence of operations such as product disassembly, inspection, repair, refurbishing, remanufacturing, recycling or final disposal at several points across the supply chain (Son et al, 2021). RL is significant when an automobile approaches its end-of-life (Qi and Hongcheng, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…For example, rising industrialization and the multitude of intermediaries between the client and the automotive manufacturer have lengthened the reverse supply chain network, resulting in a loss of visibility into product sources (Hafiz et al, 2022;Gupta et al, 2020). Since the automobile RL involves several individual partners such as consumers, authorized dealers, distributors, manufacturers, and raw material suppliers, good information flow management between the participants with the appropriate openness and trustworthiness is vital (Son et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…, 2018). RL, on the other hand, entails a sequence of operations such as product disassembly, inspection, repair, refurbishing, remanufacturing, recycling or final disposal at several points across the supply chain (Son et al. , 2021).…”

Section: Introductionmentioning

confidence: 99%

“…, 2020). Since the automobile RL involves several individual partners such as consumers, authorized dealers, distributors, manufacturers, and raw material suppliers, good information flow management between the participants with the appropriate openness and trustworthiness is vital ( Son et al. , 2021 ) .…”

Section: Introductionmentioning

confidence: 99%

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Blockchain technology: a catalyst for reverse logistics of the automobile industry

Bajar

Kamat

Shanker

et al. 2022

SASBE

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PurposeIn recent times, reverse logistics (RL) is gaining significant traction in various automobile industries to recapture returned vehicles’ value. A good RL program can lower manufacturing costs, establish a green supply chain, enhance customer satisfaction and provide a competitive advantage. However, reducing disruptions and increasing operational efficiency in the automobile RL requires implementing innovative technology to improve information flow and security. Thus, this manuscript aims to examine the hurdles in automobile RL activities and how they can be effectively tackled by blockchain technology (BCT). Merging BCT and RL provides the entire automobile industry a chance to generate value for its consumers through effective vehicle return policies, manufacturing cost reduction, maintenance records tracking, administration of vehicle information and a clear payment record of insurance contracts.Design/methodology/approachThis research is presented in three stages to accomplish the task. First, previous literature and experts' opinions are examined to highlight certain factors that are an aggravation to BCT implementation. Next, this study proposed an interval-valued intuitionistic fuzzy set (IVIFS) – decision-making trial and evaluation laboratory (DEMATEL) with Choquet integral framework for computing and analyzing the comparative results of factor interrelationships. Finally, the causal outline diagrams are plotted to determine the influence of factors on one another for BCT implementation in automobile RL.FindingsThis study has categorized the barriers to BCT implementation into five major factors – operational and strategical, technical, knowledge and behavioral, financial and infrastructural, and government rules and regulations. The results revealed that disreputable technology, low-bearing capacity of IT systems and operational inefficiency are the most significant factors to be dealt with by automobile industry professionals for finer and enhanced RL processes utilizing BCT. The most noticeable advantage of BCT is its enormous amount of data, permitting automobile RL to develop client experience through real-time data insights.Practical implicationsThis study reveals several factors that are hindering the implementation of BCT in RL activities of the automobile industry. The results can assist experts and policymakers improve their existing decision-making systems while making an effort to implement BCT into the automobile industry's RL activities.Originality/valueAlthough there are several studies on the benefits of BCT in RL and the adoption of BCT in the automobile industry, individually, none have explicated the use of BCT in automobile RL. This is also the first kind of study that has used IVIFS-DEMATEL with the Choquet integral framework for computing and analyzing the comparative results of factor interrelationships hindering BCT implementation in automobile RL activities.

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Section: Dimension-wise Cause and Effect Analysismentioning

confidence: 99%