Multi-Objective Multi Time Span Fractional Capacitated Transportation Problem in the Two Echelon Supply Chain with Multiform Items and Mixed Constraints
J. Merline Vinotha1, W. Ritha2, I. Antonitte Vinoline3, Nivetha Martin4, P. Vijayalakshmi5

1J. Merline Vinotha, Holy Cross College Autonomous, Trichy (Tamil Nadu), India.
2W. Ritha, Holy Cross College Autonomous, Trichy (Tamil Nadu), India.
3I. Antonitte Vinoline, Holy Cross College Autonomous, Trichy (Tamil Nadu), India.
4Nivetha Martin, Assistant Professor, Department of Mathematics, Arul Anandar College Autonomous Karumathur (Tamil Nadu), India.
5P. Vijayalakshmi, Hindusthan Institute of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 18 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 462-468 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B10810782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1081.0782S319
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Abstract: One of the most useful techniques for the transport companies is multi-level distribution to minimize the cost. This paper presents multi-objective multi time span fractional capacitated transportation problem (MOMTMIFCTP) in the two echelon supply chain with multiform items and mixed constraints. Moreover the fractional objective functions in the supply chain are important because many real life problems are based on the ratio of physical or economical values. The goal of this investigation is to minimize damage cost, labor cost, the cost related to transportation, inventory carrying cost, quality cost and packing cost, also determine an optimal inventory level for the warehouse and distribution centers using fuzzy programming approach through LINGO software.
Keywords: Fractional Capacitated Transportation Problem, Fuzzy Programming Approach, Multiform Items, Multi -Time Span, Two Echelon Supply Chains.
Scope of the Article: Transportation Engineering