An Examination of Different Types of Transportation Problems and Mathematical Models
Ekanayake Mudiyanselage Uthpala Senarath Bandara Ekanayake,
Wasantha Bandara Daundasekara,
Sattambirallage Pantaleon Chrysantha Perera
Issue:
Volume 7, Issue 3, September 2022
Pages:
37-48
Received:
19 July 2022
Accepted:
31 August 2022
Published:
18 October 2022
DOI:
10.11648/j.ajmcm.20220703.11
Downloads:
Views:
Abstract: Optimization processes in mathematics, computer science, and economics solve problems effectively by selecting the best element from a set of available alternatives. One of the most important and successful applications of optimization is the transportation problem (TP), which is a subclass of linear programming (LP) in operations research (OR). Its goal is to find shipping routes between supply and demand centers that will meet the demand for a given quantity of goods or services at each destination center while incurring the fewest transportation costs. Various transportation-related problems involving constraints, mixed constraints, intervals, bottlenecks, and uncertain quantities have recently received a great deal of attention. This relates to the transportation problem. In order to solve the TP, numerous researchers have proposed various exact, heuristic, and meta-heuristic strategies in the literature. Some strategies seek an initial, basic, feasible solution, whereas others seek the optimal way to solve the TP. Because it promotes economic and social activity, the transportation problem is important in operations research and management science. This research paper provides a high-level overview of various transportation-related issues and mathematical models. This can be used successfully to solve various business problems relating to the distribution of products, which are commonly referred to as transportation problems.
Abstract: Optimization processes in mathematics, computer science, and economics solve problems effectively by selecting the best element from a set of available alternatives. One of the most important and successful applications of optimization is the transportation problem (TP), which is a subclass of linear programming (LP) in operations research (OR). It...
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