| Title | An integrated E-supply chain model for agile and environmentally conscious manufacturing |
|---|---|
| ID_Doc | 66409 |
| Authors | Luo, YC; Zhou, MC; Caudill, RJ |
| Title | An integrated E-supply chain model for agile and environmentally conscious manufacturing |
| Year | 2001 |
| Published | Ieee-Asme Transactions On Mechatronics, 6, 4 |
| Abstract | This paper presents for the first time a mathematically sound model for design and optimization of supply chains in terms of such important performance indexes as product cost, cycle time, quality, energy and environmental impact in the context of global and Internet-based manufacturing. The two layer model is a hyper-network of material flows overlaid with an e-business information network. It extends from a traditional supply chain having suppliers, distributors, and users to include end-of-life product collectors and demanufacturers. Furthermore, it extends the performance considerations from cost and productivity to include environmental performance. Such extensions allow one to develop Internet-based manufacturing systems that are agile and can produce desired products with the minimum environmental impact over their life cycles. The research results can help manufacturers enhance their competitiveness balanced with environmental responsibility, thereby resulting in sustainable economy. Since the optimization goals are not easily quantified and exact numbers may not mean much to managers and designers, fuzzy logic-based optimization goals are used in the proposed multi-objective optimization model. It can attack typical problems in configuring Internet-based manufacturing systems, such as partner selection and transportation mode selection based on the above-mentioned characteristic of individual partners and links in a model. A personal computer (PC) containing such mechatronic components as hard disk driver, keyboard, and mouse is used as an example to illustrate the application of the proposed integrated e-supply chain model. |
| https://doi.org/10.1109/3516.974851 |
Similar Articles
| ID | Score | Article |
|---|---|---|
69860
|
Firoozi, M; Siadat, A; Salehi, N; Mousavi, SM A Novel Multi-Objective Fuzzy Mathematical Model for Designing a Sustainable Supply Chain Network Considering Outsourcing Risk under Uncertainty(2013) | |
| 74187
|
Dutta, P; Mishra, A; Khandelwal, S; Katthawala, I A multiobjective optimization model for sustainable reverse logistics in Indian E-commerce market(2020) | |
| 70290
|
Çalik, A An integrated open-loop supply chain network configuration model with sustainable supplier selection: fuzzy multi-objective approach(2020)Sn Applied Sciences, 2, 3 | |
| 28245
|
Ghoushchi, SJ; Hushyar, I; Sabri-Laghaie, K Multi-objective robust optimization for multi-stage-multi-product agile closed-loop supply chain under uncertainty in the context of circular economy(2021) | |
| 73281
|
Pourjavad, E; Mayorga, RV Multi-objective Fuzzy Programming of Closed-Loop Supply Chain Considering Sustainable Measures(2019)International Journal Of Fuzzy Systems, 21, 2 | |
| 74681
|
Mogale, DG; De, A; Ghadge, A; Aktas, E Multi-objective modelling of sustainable closed-loop supply chain network with price-sensitive demand and consumer's incentives(2022) | |
| 17793
|
Kazancoglu, Y; Yuksel, D; Sezer, MD; Mangla, SK; Hua, LL A Green Dual-Channel Closed-Loop Supply Chain Network Design Model(2022) | |
| 13686
|
Tsao, YC; Balo, HT; Lee, CKH Resilient and sustainable semiconductor supply chain network design under trade credit and uncertainty of supply and demand(2024) | |
| 26382
|
Karunakaran, SK; Ramasamy, N; Anand, MD; Santhi, N Factor analysis of environmental effects in circular closed-loop supply chain network design and modelling under uncertainty in the manufacturing industry(2024)Environmental Quality Management, 34, 1 | |
| 77303
|
Yang, KJ; Duan, TT; Feng, JJ; Mishra, AR Internet of things challenges of sustainable supply chain management in the manufacturing sector using an integrated q-Rung Orthopair Fuzzy-CRITIC-VIKOR method(2022)Journal Of Enterprise Information Management, 35, 4/5 |