Customizing customization in a 3D printing-enabled hybrid manufacturing supply chain

被引:4
|
作者
Li, Wei [1 ,2 ]
Sun, Hui [3 ]
Tong, Meng [1 ,2 ,5 ]
Mustafee, Navonil [3 ]
Koh, Lenny [4 ]
机构
[1] Hunan Univ, Sch Econ & Trade, Changsha 410006, Hunan, Peoples R China
[2] Hunan Univ, Hunan Key Lab Logist Informat & Simulat Technol, Changsha 410006, Hunan, Peoples R China
[3] Univ Exeter, Business Sch, Rennes Dr, Exeter EX4 4ST, England
[4] Univ Sheffield, Management Sch, Conduit Rd, Sheffield S10 1FL, England
[5] Hunan Univ, Changsha, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
3D printing; Customization degree; Supply chain configuration; Channel preference; Stackelberg game theory; MASS-CUSTOMIZATION; PRODUCT VARIETY; SPARE PARTS; IMPACT; COMPETITION; TECHNOLOGY; MANAGEMENT; RETAILER; CHANNEL; DESIGN;
D O I
10.1016/j.ijpe.2023.109103
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
At-scale manufacture of customized products often requires both traditional processes and 3D Printing (3DP)enabled additive manufacturing. Such hybrid manufacturing supports varying degrees of product customization achieved through variance in the mix of traditional and 3DP processes. Further, it supports the customization of the configuration of the 3DP-enabled supply chain. Our research investigates decision-making by 3DP manufacturers to obtain optimal profits based on the degree of customization. A two-echelon manufacturer-retailer supply chain that distributes customized products online and offline based on customers' channel preferences is considered. The Stackelberg Game model was used to study decision-making between the leader (manufacturer) and the follower (retailer). We analyzed two models: the centralized manufacturer-customized model and the decentralized retailer-customized model. The key findings of our study are as follows: Firstly, when the unit production cost is relatively small, it is optimal for the 3DP provider to offer consumers fully 3DP customized products. Secondly, with both the manufacturer-customized and the retailer-customized model, an increase in consumers' offline channel preference, will reduce the overall profits. Thirdly, in the retailer-customized model, the optimal selling price and profits are not affected by the ratio of the manufacturer's unit production cost and the total unit production cost. Finally, when the unit production cost increases with the customization degree, the optimal customization degree is relatively insensitive to potential market size changes. Our findings have practical relevance for firms seeking to gain a competitive advantage by deciding on the degree of customization and supply chain configuration strategies for 3DP manufacturing.
引用
收藏
页数:24
相关论文
共 50 条
  • [31] 3d printing optimizes customization of tablet stands
    Camillo, Jim
    Assembly, 2020, 63 (07):
  • [32] 3D printing's present and future impact on the supply chain
    Firestone, Kent
    ECN Electronic Component News, 2017, 61 (09): : 16 - 17
  • [33] From consumer to prosumer: a supply chain revolution in 3D printing
    Halassi, Sam
    Semeijn, Janjaap
    Kiratli, Nadine
    INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT, 2019, 49 (02) : 200 - 216
  • [34] The 3D printing order: variability, supercenters and supply chain reconfigurations
    Sasson, Amir
    Johnson, John Chandler
    INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT, 2016, 46 (01) : 82 - 94
  • [35] Quantifying the impact of concrete 3D printing on the construction supply chain
    Ayyagari, Ramani
    Chen, Qian
    de Soto, Borja Garcia
    AUTOMATION IN CONSTRUCTION, 2023, 155
  • [36] Emerging Sustainable Supply Chain Models for 3D Food Printing
    Rogers, Helen
    Srivastava, Mohit
    SUSTAINABILITY, 2021, 13 (21)
  • [37] 3D printing: enabling customer-centricity in the supply chain
    Martinelli, Elisa Martina
    Christopher, Martin
    INTERNATIONAL JOURNAL OF VALUE CHAIN MANAGEMENT, 2019, 10 (02) : 87 - 106
  • [38] Structured Electrodes with Accurately Controllable Channels Enabled by Hybrid 3D Printing
    Wang, Panfeng
    Zhang, Hao
    Yan, Hangtong
    Hu, Guangjian
    Zhang, Li
    ENERGY & FUELS, 2021, 35 (23) : 19791 - 19800
  • [39] Partner choice of supply chain based on 3d printing and big data
    Jin, Yuran
    Ji, Shoufeng
    Jin, Y. (jinyuran@163.com), 1600, Asian Network for Scientific Information (12): : 6822 - 6826
  • [40] Special issue on 3D printing: opportunities and applications for supply chain management
    Rogers, Helen
    Braziotis, Christos
    Pawar, Kulwant S.
    INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT, 2017, 47 (10) : 950 - 953