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

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.

Role of Associated Complex in Determining the Magnitude of Excess Volumes of Binary Liquid Mixtures: Part I - Aniline & Methyl-substituted Anilines with Cyclohexane as Inert Diluent

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Some STL file generation issues in rapid prototyping

The stereolithography (STL) file format was introduced by 3D Systems and has become the de facto industry standard. However, this is not an ideal format due to the existence of some inherent problems. Due to the non- robustness of commercial CAD systems, the choice of tolerance is a major issue when saving STL files. These tolerances will affect the file size, the number of triangular facets and the number of STL file errors. The primary focus of this paper is to outline the relationship between tolerance and these issues in the conversion of CAD models to STL files. To meet the aim of this study, the file size and the number of triangular facets were recorded after STL file generation while the number of file errors was obtained after scanning. Some interesting relationships were noticed and are documented. It is noted that the number of errors decreases with increasing tolerance and that in general there are more errors in the ASCII file format than in the binary equivalent. This paper is intended to provide to the practitioner an idea of how the different factors mentioned are affected by tolerance and allow them to choose the best values based on the finding

Electro-Mechanical Actuator: A Simulation Study

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

 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

Slicing issues in CAD translation to STL in rapid prototyping

The rapid prototyping (RP) process is being used widely with great potential for rapid manufacturing of functional parts. The RP process involves translation of the CAD file to STL format followed by slicing of the model into multiple horizontal layers, each of which is reproduced physically in making the prototype. The thickness of the resulting slices has a profound effect on the surface finish and build time of the prototype. The purpose of this paper is to show the effects of slice thickness on the surface finish, layering error, and build time of a prototype, as well as to show how an efficient STL file can be developed. Three objects were modeled and STL files were generated. One STL file for each object was sliced using different slice thicknesses, and the build times were obtained. Screenshots were used to show the slicing effect on layering error and surface finish and to demonstrate the means to a more efficient STL file. From the results, it is clear that the surface finish and build time are important factors that are affected by slice thicknes

OPTIMIZATION OF IRBESARTAN TABLET FORMULATION BY 23 FACTORIAL DESIGN

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

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

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

Role of ocean initial conditions to diminish dry bias in the seasonal prediction of Indian summer monsoon rainfall: A case study using climate forecast system

Coupled models tend to underestimate Indian summer monsoon (ISM) rainfall over most of the Indian subcontinent. Present study demonstrates that a part of dry bias is arising from the discrepancies in Oceanic Initial Conditions (OICs). Two hindcast experiments are carried out using Climate Forecast System (CFSv2) for summer monsoons of 2012-2014 in which two different OICs are utilized. With respect to first experiment (CTRL), second experiment (AcSAL) differs by two aspects: usage of high-resolution atmospheric forcing and assimilation of only ARGO observed temperature and salinity profiles for OICs. Assessment of OICs indicates that the quality of OICs is enhanced due to assimilation of actual salinity profiles. Analysis reveals that AcSAL experiment showed 10 reduction in the dry bias over the Indian land region during the ISM compared to CTRL. This improvement is consistently apparent in each month and is highest for June. The better representation of upper ocean thermal structure of tropical oceans at initial stage supports realistic upper ocean stability and mixing. Which in fact reduced the dominant cold bias over the ocean, feedback to air-sea interactions and land sea thermal contrast resulting better representation of monsoon circulation and moisture transport. This reduced bias of tropospheric moisture and temperature over the Indian land mass and also produced better tropospheric temperature gradient over land as well as ocean. These feedback processes reduced the dry bias in the ISM rainfall. Study concludes that initializing the coupled models with realistic OICs can reduce the underestimation of ISM rainfall prediction. © 2018. The Authors