scholarly journals Supply Chain Logistics Information Quality Evaluation From Just-in-Time Perspective

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 105728-105743
Author(s):  
Zhang Zhiwen ◽  
Yang Xiaoying ◽  
Xue Yujun ◽  
Gong Limin ◽  
Li Junxing
1970 ◽  
Vol 8 (1-2) ◽  
pp. 219-230
Author(s):  
Gyan Bahadur Thapa ◽  
Tanka Nath Dhamala ◽  
Shankar Raj Pant

The multi-level production problem is one of the challenging research areas in supply chain management. We present brief literature review and mathematical models of multi-level just-in-time sequencing problem with a view of cross-docking approach for supply chain logistics. Describing cross-docking operations, we propose a mathematical model for the cross-docking supply chain logistics problem to minimize the operation time as truck sequencing problem. We establish a proposition as the synthesis of the production and logistics.Key Words: Just-in-time; Supply chain; Logistics; Cross-dock; Operation timeDOI: http://dx.doi.org/10.3126/jie.v8i1-2.5114Journal of the Institute of Engineering Vol. 8, No. 1&2, 2010/2011Page: 219-230Uploaded Date: 20 July, 2011


2016 ◽  
Vol 11 (1) ◽  
pp. 91-100 ◽  
Author(s):  
Gyan Bahadur Thapa ◽  
Sergei Silvestrov

The multi-level just-in-time sequencing problem is one of the challenging research areas in supply chain management. In this paper, we present brief review and some recent research developments of just-in-time production systems together with supply chain logistics. Observing production flows and supply chain synchronization in production process, we present the mathematical models of just-in-time (JIT) sequencing problem in multi-level and single-level as nonlinear integer programming in terms of discrepancy functions under the specified constraints. Discrete apportionment approach is briefly reported as an efficient frontier for single-level.  Journal of the Institute of Engineering, 2015, 11(1): 91-100


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 46102-46120 ◽  
Author(s):  
Zhang Zhiwen ◽  
Xue Yujun ◽  
Li Junxing ◽  
Gong Limin ◽  
Wang Long

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