Development of a central order processing system for optimizing demand-driven textile supply chains: a real case based simulation study

Ma, Ke; Thomassey, Sébastien; Zeng, Xianyi

doi:10.1007/s10479-018-3000-2

Cited by 9 publications

(4 citation statements)

References 51 publications

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“…Most of the literature on textile and garment supply chains is done from an empirical perspective and explores how to optimize operational performance [1,2]. Ma et al [3] proposed a new collaborative model to integrate common and crucial collaboration strategies in the demanddriven garment supply chain. Ahmed and MacCarthy [4] explored the applications of blockchain technology in the textile and apparel industries, and analyzed a prominent example of a blockchain-based traceability solution adopted by Lenzing Group, a world-leading fiber producer.…”

Section: Textile and Garment Supply Chainsmentioning

confidence: 99%

Impact of cost sharing on quality improvement and profits under uncertain demand: The case of a textile and garment supply chain

Lang,

Hu,

Liu

2024

PLoS ONE

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The study explores the strategic pricing and quality improvement decisions under uncertain demand in a three-layer textile and garment supply chain. According to whether the fabric manufacturer (FM) invests in quality or not and whether the garment manufacturer (GM) or garment retailer (GR) is willing to share the costs or not, five game models are constructed to investigate the impact of different members’ cost sharing on the optimal decisions and profits. By conducting a theoretical and numerical analysis, we find that: (1) The GM’s or GR’s cost sharing plays a positive effect on the quality improvement, as for whose cost sharing performs better in improving the quality depending on the proportion of cost sharing, and the quality improvement is highest with both members share the costs simultaneously. (2) The FM receives the highest profit when both members share the costs simultaneously, however, whose cost sharing is more profitable for the FM is also related to the proportion of cost sharing; in short, the FM always benefits from the cost sharing, no matter one member does this or two members do this. (3) The GM (GR) gains the highest profit when only the GR (GM) shares the costs, and the results indicate that if one member has shared the costs, whether the other member engaging in cost sharing could benefit the former depending on their proportions. Specifically, when the GM (GR) chooses to share the costs and the proportion is relatively low, the GR(GM) joining in cost sharing is beneficial to the former; otherwise, is harmful.

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Section: Textile and Garment Supply Chainsmentioning

confidence: 99%

Impact of cost sharing on quality improvement and profits under uncertain demand: The case of a textile and garment supply chain

Lang,

Hu,

Liu

2024

PLoS ONE

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“…Effective communication, cooperation, process innovation, and mechanism design among supply chain partners substantially enhance market responsiveness, reduce transaction costs, and consequently fortify and continuously increase profits. Establishing long-term, stable relationships based on trust and communication among supply chain partners minimizes supply chain risks, leading to improved corporate financial performance [50,51]. Additionally, research suggests that collaborative activities among supply chain enterprises enhance organizational performance by mediating the effects of CAs [52].…”

Section: Supply Chain Collaboration and Firm Performancementioning

confidence: 99%

Linking Supply Chain Collaboration, Collaborative Advantage, and Firm Performance in China: The Moderating Role of Government Subsidies

Liu,

Jiao,

Zhang

et al. 2023

Sustainability

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Supply chain collaboration is acknowledged for its benefits, but realizing these advantages can be challenging. The role of government subsidies in supply chain collaboration, collaborative advantage, and firm performance remains unclear. In this study, we explored how supply chain collaboration can enhance firm performance and the roles of collaborative advantage and government subsidies in that process. Firstly, we reviewed the related literature and proposed our hypotheses. Secondly, we formulated an innovative theoretical framework and issued our questionnaire after a pilot study. After collecting and evaluating the sample data, we utilized structural equation modeling to comprehensively examine those relationships in a supply chain, unlike the previous studies on trust, firm size, etc. Lastly, in the context of government interventions, this study addresses the question: “To what extent do government subsidies influence the relationships among supply chain collaboration, collaborative advantage, and firm performance?” Our findings indicate that supply chain collaboration is fundamental in shaping collaborative advantage and firm performance, while collaborative advantage is crucial in enhancing firm performance. Additionally, government support in the form of subsidies acts as a catalyst, further enhancing the positive outcomes of supply chain collaboration and ultimately benefiting firm performance. This research underscores the strategic significance of supply chain collaboration and government subsidies in promoting overall business success. By illuminating the roles of collaborative advantage and government subsidies in this context, this study contributes to a deeper understanding of the dynamic capability involved in achieving improved firm performance through effective supply chain collaboration.

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“…In the past, the design process of mass production usually used the process of trying to produce a small number of samples, comparing the differences between the samples and the requirements, adjusting the process, trying to produce samples again and comparing them again. If this process is used in customization, it will undoubtedly consume excessive time and material costs and deter potential customers [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Extraction of the Microstructure of Wool Fabrics Based on Structure Tensor

Zhu,

Ma,

Ding

et al. 2023

Sensors

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The trends of “fashionalization”, “personalization” and “customization” of wool fabrics have prompted the textile industry to change the original processing design based on the experience of engineers and trial production. In order to adapt to the promotion of intelligent production, the microstructure of wool fabrics is introduced into the finishing process. This article presents an automated method to extract the microstructure from the micro-CT data of woven wool fabrics. Firstly, image processing was performed on the 3D micro-CT images of the fabric. The raw grayscale data were converted into eigenvectors of the structure tensor to segment the individual yarns. These data were then used to calculate the three parameters of diameter, spacing and the path of the center points of the yarn for the microstructure. The experimental results showed that the proposed method was quite accurate and robust on woven single-ply tweed fabrics.

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Development of a central order processing system for optimizing demand-driven textile supply chains: a real case based simulation study

Cited by 9 publications

References 51 publications

Impact of cost sharing on quality improvement and profits under uncertain demand: The case of a textile and garment supply chain

Impact of cost sharing on quality improvement and profits under uncertain demand: The case of a textile and garment supply chain

Linking Supply Chain Collaboration, Collaborative Advantage, and Firm Performance in China: The Moderating Role of Government Subsidies

Extraction of the Microstructure of Wool Fabrics Based on Structure Tensor

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