Uncertain programming model for location problem of multi-product logistics distribution centers

2015 ◽  
Vol 9 ◽  
pp. 6543-6558 ◽  
Author(s):  
Xiangfeng Liu ◽  
Jin Peng ◽  
Lin Chen
Keyword(s):  
Location Problem ◽  
Programming Model ◽  
Uncertain Programming ◽  
Distribution Centers ◽  
Logistics Distribution

Uncertain Programming Model for Multiple Distribution Centers

2021 ◽  
pp. 436-444
Author(s):  
Yu’er Lv ◽  
Chuxin Cao ◽  
Kang Shen ◽  
Zhigang Wang
Keyword(s):  
Programming Model ◽  
Uncertain Programming ◽  
Distribution Centers

An Uncertain Programming Model for Manufacturing/Remanufacturing Hybrid System in Reverse Logistics Environment

2013 ◽  
Vol 288 ◽  
pp. 251-255 ◽  
Author(s):  
Yu Juan Chen ◽  
Dong Bo Liu
Keyword(s):  
Hybrid System ◽  
Reverse Logistics ◽  
Programming Model ◽  
Simulation Method ◽  
Pso Algorithm ◽  
Plant Distribution ◽  
Uncertain Programming ◽  
Distribution Centers ◽  
De Algorithm ◽  
The Cost

An uncertain programming model for the manufacturing/remanufacturing hybrid system in reverse logistics environment under grey and fuzzy uncertainty was proposed. It considers the material suppliers, manufacturing plant, distribution centers, retailers, collection centers, disassembly center and remanufacturing center. The designed neural network can expedite the simulation process after trained from the input-output data generated with the proposed grey fuzzy simulation method. The improved Particle Swarm Optimization (PSO) algorithm based on the Differential Evolution (DE) algorithm is used to optimize the uncertain model. The numerical example illustrates that the cost will increase with the higher probability and credibility, and decrease with the higher return rate.

scholarly journals Optimal placement design for picking and packing in distribution centers

2021 ◽  
Vol 13 (4) ◽  
pp. 168781402110106
Author(s):  
John Rios ◽  
Rodrigo Linfati ◽  
Daniel Morillo-Torres ◽  
Iván Derpich ◽  
Gustavo Gatica
Keyword(s):  
Optimal Allocation ◽  
Programming Model ◽  
Operating Cost ◽  
Nonlinear Integer Programming ◽  
Operating Costs ◽  
Optimal Placement ◽  
Distribution Centers ◽  
Suitable Space ◽  
Efficient Distribution

An efficient distribution center (DC) is one that receives, stores, picks and packs products into new logistics units and then dispatches them to points of sale at the minimal operating cost. The picking and packing processes represent the highest operating cost of a DC, and both require a suitable space for their operation. An effective coordination between these zones prevents bottlenecks and has a direct impact on the DC’s operational results. In the existing literature, there are no studies that optimize the distribution of the picking and packing areas simultaneously while also reducing operating costs. This article proposes an integer nonlinear integer programming model that minimizes order preparation costs. It does so by predicting customer demand based on historical data and defining the ideal area for picking and packing activities. The model is validated through a real case study of seven clients and fifteen products. It achieves a [Formula: see text] reduction in operating costs when the optimal allocation of the picking and packing areas is made.

scholarly journals Location of regional and international hub ports in liner shipping

2017 ◽  
Vol 2 (2) ◽  
pp. 114-125 ◽  
Author(s):  
Jianfeng Zheng ◽  
Cong Fu ◽  
Haibo Kuang
Keyword(s):  
Design Methodology ◽  
Location Problem ◽  
Programming Model ◽  
Liner Shipping ◽  
Mixed Integer ◽  
Eastern Asia ◽  
Hub Location ◽  
Hub Location Problem ◽  
Content Type ◽  
Western Asia

Purpose This paper aims to investigate the location of regional and international hub ports in liner shipping by proposing a hierarchical hub location problem. Design/methodology/approach This paper develops a mixed-integer linear programming model for the authors’ proposed problem. Numerical experiments based on a realistic Asia-Europe-Oceania liner shipping network are carried out to account for the effectiveness of this model. Findings The results show that one international hub port (i.e. Rotterdam) and one regional hub port (i.e. Zeebrugge) are opened in Europe. Two international hub ports (i.e. Sokhna and Salalah) are located in Western Asia, where no regional hub port is established. One international hub port (i.e. Colombo) and one regional hub port (i.e. Cochin) are opened in Southern Asia. One international hub port (i.e. Singapore) and one regional hub port (i.e. Jakarta) are opened in Southeastern Asia and Australia. Three international hub ports (i.e. Hong Kong, Shanghai and Yokohama) and two regional hub ports (i.e. Qingdao and Kwangyang) are opened in Eastern Asia. Originality/value This paper proposes a hierarchical hub location problem, in which the authors distinguish between regional and international hub ports in liner shipping. Moreover, scale economies in ship size are considered. Furthermore, the proposed problem introduces the main ports.

Application of DEA Model Based on FCE in the Cigarette Packaging System Mode Evaluation

2014 ◽  
Vol 1006-1007 ◽  
pp. 472-476
Author(s):  
Wei Wang ◽  
Wei Ping Yang ◽  
Ge Yi Liu
Keyword(s):  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Distribution Center ◽  
Evaluation Index System ◽  
Distribution Centers ◽  
Packaging System ◽  
Dea Model ◽  
Logistics Distribution ◽  
Model Based ◽  
System Mode

With the development of modern logistics system, the automatic logistics distribution centers have been built in most tobacco enterprises. The packaging system plays important role in the distribution center, it is necessary to construct a set of scientific method to evaluate the packaging system mode. According to the real situation of tobacco logistics distribution center, the cost and benefit are set to the general goal. For these three modes of packaging system, packaging by hand, automatic packaging and packaging by heat-shrinkable material, the evaluation index system and hierarchical structure are built. Refer to the hierarchical chart and the principle of AHP, the weight of each index is calculated. On the basis of weight that worked out by AHP, the final evaluation result can be found and analyzed follow the principle of fuzzy comprehensive evaluation. Finally, reference the consequences of the FCE, the DEA model based on FCE is used to enhance the integrality and systematic of the evaluate result.

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