347 research outputs found

    Production planning under dynamic product environment: a multi-objective goal programming approach

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    Production planning is a complicated task that requires cooperation among multiple functional units in any organization. In order to design an efficient production planning system, a good understanding of the environment in terms of customers, products and manufacturing processes is a must. Although such planning exists in the company, it is often incorrectly structured due to the presence of multiple conflicting objectives. The primary difficulty in modern decision analysis is the treatment of multiple conflicting objectives. A formal decision analysis that is capable of handling multiple conflicting goals through the use of priorities may be a new frontier of management science. The objective of this study is to develop a multi objective goal programming (MOGP) model to a real-life manufacturing situation to show the trade-off between different some times conflicting goals concerning customer, product and manufacturing of production planning environment. For illustration, two independent goal priority structures have been considered. The insights gained from the experimentation with the two goal priority structures will guide and assist the decision maker for achieving the organizational goals for optimum utilization of resources in improving companies competitiveness. The MOGP results of the study are of very useful to various functional areas of the selected case organization for routine planning and scheduling. Some of the specific decision making situations in this context are: (i). the expected quality costs and production costs under identified product scenarios, (ii).under and over utilization of crucial machine at different combinations of production volumes, and (iii). the achievement of sales revenue goal at different production volume combinations. The ease of use and interpretation make the proposed MOGP model a powerful communication tool between top and bottom level managers while converting the strategic level objectives into concrete tactical and operational level plans.

    Electro-Mechanical Actuator: A Simulation Study

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    Electro-Mechanical Actuator (EMA) modeling and simulation using Simulink block set has been implemented and tested with input step and repeated sequences. The results obtained from this simulation are satisfactory. This simulation model can be used for developing EMA health condition monitoring techniques and educational purpose. Basically a simplified and complete Simulink based approach is presented

    STUDY OF PHYSICOCHEMICAL PROPERTIES AND NUTRIENT CONTENT OF AGRICULTURAL SOILS OF CHITTOOR DISTRICT USING DIFFERENT ANALYTICAL METHODS

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     Objective: The objective of this study is to determine the physicochemical properties and nutrient content of agricultural soils at various stations such as black soil from Kalroad Palli village (Chandragiri mandal), red soil from Ramapuram village (Ramachandrapuram Mandal), and clay from Yerpedu village (Yerpedu Mandal) of Chittoor district.Method: The physicochemical parameters such as pH was measured using pH meter (Thermo Scientific); electrical conductivity (EC) was measured by conductivity meter (CM180 Elico Technologies); organic carbon (OC) was determined by Fourier-transform infrared (Agilent technologies 630) and with ultraviolet (UV) spectrophotometer (Agilent technologies Cary UV 60); nitrogen (N2) was estimated by Kjeldahl method; potassium (K), sodium (Na), and calcium (Ca) were estimated using flame photometer (Elico Technologies CL/361); and magnesium (Mg) was estimated by titrimetric method.Results: Among these, pH (black soil - 7.41, red soil - 6.93, and clay - 7.29), EC (black soil - 1.76, red soil - 0.25, and clay - 0.14 microhoms), OC (black soil - 1.22%, red soil - 0.61%, and clay - 0.66%), N2 (black soil - 0.22%, red soil - 0.25%, and clay - 0.26%), K (black soil - 5.7 ppm, red soil - 9.1 ppm, and clay - 8.4 ppm), Na (black soil - 9.5 ppm, red soil - 4.5 ppm, and clay - 5.9 ppm), Ca (black soil - 6.2 ppm, red soil - 5.7 ppm, and clay - 7.8 ppm), Mg (black soil - 0.19%, red soil - 0.25%, and clay - 0.17%) ranges were recorded at all the stations.Conclusion: The present study is a preliminary attempt to study the nature of soils in different agricultural areas in Chittoor district of Andhra Pradesh, India. This could help to understand the nutrient profile of the district and to prescribe the nutrients levels of the crops for their effective growth

    OPTIMIZATION OF IRBESARTAN TABLET FORMULATION BY 23 FACTORIAL DESIGN

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    Irbesartan, a widely prescribed anti hypertensive drug belongs to class II under BCS classification and exhibit low and variable oral bioavailability due to its poor aqueous solubility. It needs enhancement in the dissolution rate in its formulation development. Complexation with β-cyclodextrin (βCD) and use of Crospovidone and PVP K 30 are tried for enhancing the dissolution rate of irbesartan in its formulation development. The objective of the present study is optimization of irbesartan tablet formulation employing Crospovidone, βCD and PVP K 30 by 23 Factorial design. Formulation of irbesartan tablets with NLT 85% dissolution in 15 min employing Crospovidone, βCD and PVP K 30 was optimized by 23 Factorial design. Eight irbesartan tablet formulations were prepared using selected combinations of the three Factors as per 23 Factorial designs. Irbesartan tablets were prepared by direct compression method and were evaluated for drug content, hardness, friability, disintegration time and dissolution rate characteristics. The dissolution rate (K1) values were analysed as per ANOVA of 23 Factorial design to find the significance of the individual and combined effects of the three Factors (βCD, Crospovidone and PVP K 30) involved on the dissolution rate of irbesartan tablets formulated. The individual and combined effects of βCD, Crospovidone and PVP K 30 on the dissolution rate (K1) of irbesartan tablets are highly significant (P<0.01). Irbesartan tablet formulation (PFac), disintegrated rapidly with in 1 min and gave very rapid dissolution of irbesartan,100% in 15 min. Higher levels of βCD and lower levels of Crospovidone gave low dissolution rates of irbesartan tablets. The increasing order of dissolution rate (K1) observed with various formulations was CFac> CFa>CFab>CFabc> CF1> CFbc> CFb> CFc. The polynomial equation describing the relationship between the response i. e. percent drug dissolved in 15 min (Y) and the levels of Crospovidone (X1),βCD (X2) and PVP K 30 (X3) based on the observed results is Y = 58.57+34.54 (X1) - 1.89(X2) – 3.60 (X1 X2) -1.82 (X3) +1.50 (X1 X3) + 3.13 (X2 X3) - 4.87 (X1 X2 X3). Based on the above polynomial equation, the optimized irbesartan tablet formulation with NLT 85% dissolution in 15 min could be formulated employing Crospovidone at 27.70% of drug content, βCD at 1:4 ratio of drug: βCD and PVP K 30 at 1% of drug content. The optimized irbesartan tablet formulation gave 86.18 % dissolution in 15 min fulfilling the target dissolution set. The dissolution profile of the optimized Irbesartan tablet formulation was similar to that of commercial brand (IROVEL-150). Hence the formulation of irbesartan tablets with NLT 85% dissolution in 15 min could be optimized by 23 Factorial design

    Synergies in the Application of Industry 4.0 and Lean Manufacturing at a Product Label Manufacturer – A Discrete Event Simulation Case Study

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    Industry 4.0 is a manufacturing philosophy and industry standard for the design of Cyber-Physical Production Systems. The aim of Industry 4.0 is the creation of a smart manufacturing system. A smart system which applies novel applications of developed and current technologies to simplify complex work and enable waste averse production. It is based on the concepts of data-driven decision support services, Horizontal and Vertical Information Technology-Operations Technology value-chain integration, decentralized control and flexible production. Lean Manufacturing is a value-to-customer- focused manufacturing philosophy which applies procedures designed to ingrain waste reduction and efficient, competency- building practices into workplace culture. The aim of this paper is to examine the synergistic benefits of these manufacturing philosophies on a local firm using Discrete Event Simulation. The key performance indicators of Flow Time, Waiting Time and Work in Process were used to determine the efficacy of the models investigated. The study results indicated a 52 %, 57 % and 58 % improvement in the respective metrics of the best performing proposed model when com-pared to the existing system

    EFFECT OF ANHEDRAL AND DIHEDRAL ON THE LATERAL DIRECTIONAL STATIC STABILITY OF THE AIRCRAFT

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    Developments and advancements in Aircraft industry have led to an increasing the stability and maneuverability of an aircraft. When the aircraft subjected to unbalanced force it needs the suitable wing to overcome the side slip and maneuverability of an aircraft. This work proposed a Dihedral and Anhedral wing simulation in XFLR5 software to increase the stability and maneuverability of an aircraft. XFLR5 analysis was then carried out for Dihedral and anhedral angles of 5deg, 10deg ,with side slip angles 2deg and 5deg. The aerofoil used in wing is NACA 4412 and in tail is 0009..Lateral-Directional Static Stability of 5,10 deg of both anhedral and dihedral wings are analyzed. The graphs are plotted between co-efficient of rolling moment and side slip angle ; co-efficient of yawing moment and side slip angle. The simulation is done in a free stream velocity of 60 m/s and inviscid flow. Anhedral is a negative dihedral angle .The anhedral reduces the dihedral effect bringing the wing\u27s roll characteristics into a more desirable performance envelope while keeping it stable yet maneuverable.Dihedral is the upward angle of an aircraft\u27s wings, which increases lateral stability in a bank by causing the lower wing to fly at a higher angle of attack than the higher wing

    Effect of tool path and feed rate on the machining of coons surfaces / Boppana V. Chowdary and Anton Gittens

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    In this study, complex shapes are defined as the sculptured surfaces created by the blending of curves, to form surface patches. Past investigations show that non-uniform rational B-Splines (NURBS) curves are the most appropriate for the modeling of sculptured surfaces. The main objective of this research is to examine the effects of toolpath and feed rate variations on the machining of the Coons surface, which is modeled through NURBS. Based on simulation results, it is clear that toolpath and feed rate selection plays a significant role in sculptured surface machining. In particular, the toolpath selection seemed to have a greater effect on the surface finish and machining time than the feed rate. The results also show that the feed rate option has a much greater effect on roughing than finishing operations. It can also be seen in this research that the toolpath option played a more significant role than feed rate selection in determining the file size
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