Informatics Publishing Limited

A. L. Kameswari ¹, K. Sreenivasa Rao ²

Affiliations
1 Department of Computer Application, MVSR Engineering College, Nadergul, Hyderabad, AP, IN
2 Department of OR&SQC, Rayalaseema University, Kurnool, AP, IN

Abstract

The job-shop scheduling (JSS) is a production schedule planning for High mix & low volume systems with many variations in requirements. They cannot be formulated as a linear programming and no simple rules or algorithms yield to optimal solutions in a short time. In job-shop scheduling problem (JSSP) environment, there are n jobs to be processed on m machines with a certain objective function to be minimized. JSSP with n jobs to be processed on more than two machines have been classified as a combinatorial problem. JSSP is known to be NP-Hard problem and near optimal solution is possible by heuristics. In this paper, genetic algorithm is used to find the feasible solution set for 5 x 5 JSSP with total flow time taken as the objective function. The processing time & job data for the problem is taken from a glass manufacturing company, which manufactures glass equipment for pharmaceutical company on received order. Population creation, encoding, decoding, selection, recombination (crossover), mutation and reinsertion functions are developed using MATLAB software. The code is run for various generations and solution set containing different sequences with same minimum flow time is presented. The decoding of sequence to schedule is also presented. It is observed that by operation based representation, decoding of sequence to schedule is suitable for JSSP.

Keywords

Evolutionary Algorithms- EA, Genetic Algorithm-GA, Job Shop Scheduling Problem -JSSP, Non Polynomial Time-NP, Partially Mapped Crossover-PMX.

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K. Sreenivasa Rao ¹, Maajid Khan ¹, Dattatraya Udgirkar ¹, Praveen S. Patil ¹, Karnakumar V. Biradar ²

Affiliations
1 Department of Pharmaceutics, RRKS College of Pharmacy, Bidar-585402, IN
2 Department of Pharmacology, RRKS College of Pharmacy, Bidar-585402, IN

Abstract

In the present study, Mouth dissolving tablets of Meloxicam were designed with a view to enhance patient compliance. Meloxicam, a new non-steroidal anti-inflammatory agent mainly used for the treatment of osteoarthritis and rheumatoid arthritis. However, it may cause gastro-intestinal tract disturbances/induce ulcer to avoid these complications we designed Mouth dissolving tablets of Meloxicam. The prepared batches of Mouth dissolving tablets were evaluated for hardness and friability, drug dispersion time, drug content uniformity, wetting time, water absorption ratio and in vitro dispersion time. Based on in vitro dispersion time (approximately 8-30 s), all formulations were tested for in vitro drug release pattern (in Phosphate buffer), Short-term stability (40°C/ 75% RH for 3 months) and drug-excipient interaction study (IR spectroscopy). Among all the formulations, the formulation prepared by 6% sodium starch glycolate was found to have minimum dispersion time (8.77 s) and Short-term stability studies on the promising formulation indicated that there were no significant changes in drug content and in vitro dispersion time.

Keywords

Mouth Dissolving Tablets (MDT), Novel Drug Delivery Systems (NDDS) Meloxicam, Sodium Starch Glycolate, Croscarmellose Sodium.

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