Affiliations: [a] Department of Computer Science and Engineering, Heritage Institute of Technology, Kolkata, India
| [b] Department of Mathematics, Birla Institute of Technology Mesra, Ranchi, India
| [c] Department of Mathematics, National Institute of Technology Durgapur, Durgapur, India
| [d] Department of Computer Science, National Institute of Technology Durgapur, Durgapur, India
Correspondence:
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Corresponding author. Samarjit Kar, Department of Mathematics, National Institute of Technology Durgapur Durgapur, India. E-mail: [email protected].
Abstract: Generally, in transportation problem, full vehicles (e.g., light commercial vehicles, medium duty and heavy duty trucks, etc.) are to be booked, and transportation cost of a vehicle has to be paid irrespective of the fulfilment of the capacity of the vehicle. Besides the transportation cost, total time that includes travel time of a vehicle, loading and unloading times of products is also an important issue. Also, instead of a single item, different types of items may need to be transported from some sources to destinations through different types of conveyances. The optimal transportation policy may be affected by many other issues like volume and weight of per unit of product, unavailability of sufficient number of certain types of vehicles, etc. In this paper, we formulate a multi-objective multi-item solid transportation problem by addressing all these issues. The problem is formulated with the transportation cost and time parameters as fuzzy variables. Using credibility theory of fuzzy variables, a chance-constraint programming model is formulated, and is then transformed into the corresponding deterministic form. Finally numerical example is provided to illustrate the problem.
