Topics of polyhedral combinatorics in transportation problems with exclusions

Cybernetics ◽  
1991 ◽  
Vol 26 (6) ◽  
pp. 877-891
Author(s):  
M. K. Kravtsov
Keyword(s):  
Polyhedral Combinatorics ◽  
Transportation Problems

Travel by Design

2001 ◽  
Author(s):  
Marlon Boarnet ◽  
Randall C. Crane
Keyword(s):  
Urban Design ◽  
New Urbanism ◽  
Neighborhood Design ◽  
Transportation Problems ◽  
Systematic Assessment ◽  
The Right ◽  
Livable Communities

Can transportation problems be fixed by the right neighborhood design? The tremendous popularity of the "new urbanism" and "livable communities" initiatives suggests that many persons think so. As a systematic assessment of attempts to solve transportation problems through urban design, this book asks and answers three questions: Can such efforts work? Will they be put into practice? Are they a good idea?

scholarly journals Least-looping stepping-stone-based ASM approach for transportation and triangular intuitionistic fuzzy transportation problems

2021 ◽  
Author(s):  
Kedar Nath Das ◽  
Rajeev Das ◽  
Debi Prasanna Acharjya
Keyword(s):  
Optimal Solution ◽  
Transportation Engineering ◽  
Key Factors ◽  
Solution Quality ◽  
Transportation Problems ◽  
Stepping Stone ◽  
Intuitionistic Fuzzy ◽  
Real World Problem ◽  
Statistical Results ◽  
Made In

AbstractTransportation problem (TP) is a popular branch of Linear Programming Problem in the field of Transportation engineering. Over the years, attempts have been made in finding improved approaches to solve the TPs. Recently, in Quddoos et al. (Int J Comput Sci Eng (IJCSE) 4(7): 1271–1274, 2012), an efficient approach, namely ASM, is proposed for solving crisp TPs. However, it is found that ASM fails to provide better optimal solution in some cases. Therefore, a new and efficient ASM appoach is proposed in this paper to enhance the inherent mechanism of the existing ASM method to solve both crisp TPs and Triangular Intuitionistic Fuzzy Transportation Problems (TIFTPs). A least-looping stepping-stone method has been employed as one of the key factors to improve the solution quality, which is an improved version of the existing stepping-stone method (Roy and Hossain in, Operation research Titus Publication, 2015). Unlike stepping stone method, least-looping stepping-stone method only deals with few selected non-basic cells under some prescribed conditions and hence minimizes the computational burden. Therefore, the framework of the proposed method (namely LS-ASM) is a combination of ASM (Quddoos et al. 2012) and least-looping stepping-stone approach. To validate the performance of LS-ASM, a set of six case studies and a real-world problem (those include both crisp TPs and TIFTPs) have been solved. The statistical results obtained by LS-ASM have been well compared with the existing popular modified distribution (MODI) method and the original ASM method, as well. The statistical results confirm the superiority of the LS-ASM over other compared algorithms with a less computationl effort.

Solution of large dense transportation problems using a parallel primal algorithm

1990 ◽  
Vol 9 (5) ◽  
pp. 319-324 ◽  
Author(s):  
D.L. Miller ◽  
J.F. Pekny ◽  
G.L. Thompson
Keyword(s):  
Transportation Problems

scholarly journals Cost minimisation of product transhipment for physical distribution management

2013 ◽  
Vol 7 (1) ◽  
Author(s):  
Obioma R. Nwaogbe ◽  
Victor Omoke ◽  
Emmanuel C. Ubani ◽  
Sunday I. Ukaegbu
Keyword(s):  
Optimal Allocation ◽  
Operating Costs ◽  
Physical Distribution ◽  
Alternative Strategies ◽  
Distribution Management ◽  
Transportation Problems ◽  
Cost Minimisation ◽  
Manufactured Products

The objective of this study was to determine the optimal allocation of shipments (least cost) of two manufactured products between depots and places of consumption. In this study, the least-cost method was used in solving the transportation algorithm using Tora 2.0 version software. The study was necessary because of the high operating costs associated with physical distribution when deliveries are not properly planned and considered with reference to alternative strategies. In contrast, significant savings can be achieved by using techniques available for determining the cheapest methods of transporting goods from several origins to several destinations. Cost minimisation is a very useful approach to the solution of transportation problems.

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