Decision Optimization for 3D Printing-Driven Supply Chain
Ma Shuang1, Cai Xiaotian2, Songlin Chen3
1. College of Economics and Management,University of Science and Technology,Beijing 100083; 2. Chinese Academy of Science and Technology for Development,Beijing 100038; 3. School of Mechanical & Aerospace Engineering, Nanyang Technological University,Singapore 639798,Singapore.
Abstract：3D printing technology does not only disrupt how products are produced on the shop floor,but also have significant impacts on how the whole supply chain is organized.Reversely,the choice of supply chain configuration could either enable or hinder the adoption of 3D printing technology.Thus,the key challenge is how to recognize the right supply chain configuration to facilitate 3D printing adoption.This paper presents a new perspective which looks into the issue of 3D printing adoption within a supply chain context.Based on the location of 3D printing facilities in a supply chain,three supply chain configurations are proposed.A supply chain optimization model for 3D printing adoption is subsequently developed to quantitatively analyze the three supply chain configurations.A case study based on data obtained from the aviation industry is presented to demonstrate the applicability of the proposed supply chain cost model for selecting the right supply chain configuration for 3D printing adoption.
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