RETRACTED ARTICLE: Supply chain optimization based on chain management and mass customization

Jin, Maozhu; Wang, Hua; Zhang, Qian; Zeng, Yucheng

doi:10.1007/s10257-018-0389-8

Cited by 26 publications

(19 citation statements)

References 17 publications

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“…The adoption of MC is now gaining momentum as it enhances the organizations' ability to become more responsive to highly diversified demands of customers while earning superior outcomes (de Bellis et al , 2019; Trentin et al , 2019; Ullah and Narain, 2018). As a consequence, the development of mass customization capabilities has become a major concern for management (Jin et al , 2019; Sandrin et al , 2018).…”

Section: Introductionmentioning

confidence: 99%

Achieving mass customization capability: the roles of flexible manufacturing competence and workforce management practices

Ullah

Narain

2020

JAMR

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PurposeThe purpose of this study is to investigate the effects of flexible manufacturing competence (FMC) and workforce management practices (WMP) in facilitating the development of mass customization capability (MCC). More specifically, this research analyzes not only the direct effects of FMC and WMP on MCC but also the moderating effect of WMP on the relationship between FMC and MCC.Design/methodology/approachBuilding on the resource-based view, a research framework depicting the linkages among the variables of interest has been proposed. The examination of the proposed research model and hypotheses are conducted by applying partial least squares-structural equation modelling (PLS-SEM) on a dataset of Indian manufacturing organizations.FindingsThe findings suggest that both FMC and WMP significantly and positively affect the development of MCC. Also, the results show that the relationship between FMC and MCC is strengthened by the implementation of WMP.Practical implicationsThe study identifies several crucial practices for enhancement of flexible manufacturing competence and effective management of the workforce and also highlights the complementarities among them to develop superior MCC.Originality/valueWhile the research on the antecedent of MCC has increased substantially, the understanding of the interactions among FMC, WMP, and MCC is still limited. This is the first study that sheds light on the interconnectedness among the variables of interest.

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Section: Introductionmentioning

confidence: 99%

Achieving mass customization capability: the roles of flexible manufacturing competence and workforce management practices

Ullah

Narain

2020

JAMR

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“…MC is a new advanced mass production mode integrated with the idea of custom-made production. Its goal is to produce and provide customers with personalized products and services at a low unit cost through efficient mass production, and finally, achieve the mutual benefit between enterprises and customers [19,20]. MC enterprises adopt the postponement strategy.…”

Section: A Overview Of MCmentioning

confidence: 99%

Mass Customization-Oriented Customer Demand Response Service Platform Based on Cloud Computing and Internet of Things

Hong-yi

Fan

2022

IEEE Access

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The purpose is to establish Mass Customization (MC)-oriented Customer Demand Response (CDR) service platform based on Cloud Computing (CC) and the Internet of Things (IoT). Firstly, the MCoriented Demand Response (DR) process and the characteristics of CC are analyzed. Secondly, an MCoriented CDR service platform system based on CC and IoT is proposed. Finally, the edge-cloud collaborative computing method is used to maintain the efficiency and stability of the CC platform, and the proposed method is compared with other state-of-art algorithms to further prove its effectiveness. The results show that the parameters φ and V have a significant impact on the queue size and operation cost. Compared with other methods, the operation cost of the proposed edge-cloud collaborative computing method is relatively low. Thus, the proposed edge-cloud collaborative computing method is more applicable in high-speed and low-speed data; it can also improve the resource utilization of the Data Center (DC) and reduce the operation cost. The research results provide a basis for the establishment of the MCoriented CDR service platform.

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“…This is the reason behind the allocation of random values to − → H. When the value of − → H is greater than 1 or lower than −1, then the sea member sea lion moves away from the leader or away from the target prey. This process is expressed in Equations ( 18) and (19).…”

Section: Prey Searchingmentioning

confidence: 99%

Secured information sharing for supply chain management based on blockchain technology and optimal key generation process

Lahane¹,

Sharma

2022

Concurrency and Computation

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Summary Supply Chain Management (SCM) is one of the biggest important focal areas in most corporate environments. However, some difficulties are presented in the structure like high cost, privacy issues and distortions. Thus, new secured information sharing for SCM is proposed in this work and deals with the introduction of privacy preservation of data transfers among supply chains. Initially, a supply chain is constructed and the data transfer among the diverse levels takes place via blockchain technology. In the blockchain, security being a crucial factor, a new privacy preservation method is introduced. The initial information is converted to a sanitization procedure prior to transmission via blockchain technology, in which the information is turned into sanitized data. Similarly, the sanitized data is restored on the receiving end to obtain the original data. More importantly, key generation has a significant role in both processes, and it must be ideally chosen. The key is optimally chosen for this study using a new optimization algorithm called Fitness‐based Self‐adaptive Sea lion Optimization (FSA‐SLnO), which is a better variant of the conventional Sealion Optimization technique (SLnO). In terms of security, the proposed protected information sharing in SCM using block chain technology is evaluated by comparing it with traditional approaches.

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RETRACTED ARTICLE: Supply chain optimization based on chain management and mass customization

Cited by 26 publications

References 17 publications

Achieving mass customization capability: the roles of flexible manufacturing competence and workforce management practices

Achieving mass customization capability: the roles of flexible manufacturing competence and workforce management practices

Mass Customization-Oriented Customer Demand Response Service Platform Based on Cloud Computing and Internet of Things

Secured information sharing for supply chain management based on blockchain technology and optimal key generation process

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