Volume-5 ~ Issue-1
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| Paper Type | : | Research Paper |
| Title | : | "Scheduling in Job Shop Process Industry" |
| Country | : | India |
| Authors | : | Shantanu Kolharkar, Prof. D. R. Zanwar |
| : | 10.9790/1684-0510117 ![]() |
|
Abstract: In today's manufacturing scenario Production Scheduling plays a vital role in planning. The
scheduling deals directly with the time. The allocation of available resources over time to perform a specific
task. Assigning an appropriate number of workers to the jobs during each day, determining when an activity
starts and end depending upon the duration of an activity, predecceor activity, resource availability and target
completion date. A scheduling problem is to find sequences of jobs on specific machines with an objective to
minimize total elapsed time or makespan. Job Shop Scheduling is type where the machine order can be different
for each jobs. It becomes complex and agile to evolve optimal solution. JSP is widely defined as a NP hard and
combinatorial in nature. In this paper the characteristics of JSP is analyzed and proposed Genetic Algorithm as
one of the efficient optimization tool to solve problem like JSP. This research work aim to analyze the JSP at
Job shop Process Industry considering static scheduling and also considered due dates as dynamic scheduling.
Coding is done in MATLAB Version 7.10 through GUI. Compared the results with and without using GA
parameters.
Keywords: JSSP (Job shop scheduling problem), Genetic Algorithm, Crossover, Mutation, MATLAB, GUI (Graphical User Interface),
Keywords: JSSP (Job shop scheduling problem), Genetic Algorithm, Crossover, Mutation, MATLAB, GUI (Graphical User Interface),
[1] Ye LI and Yan CHEN from Transportation Management College, Dalian Maritime University, Dalian, PR.China in Journal of
Software Vol.5, No.3 March2010.A Genetic Algorithm for Job Shop Scheduling.
[2] Mahanim Omar, Adam Baharum, Yahya Abu Hasan School of Mathematical Sciences, in proceedings of the 2nd IMT –GT Regional
Conference on Mathematics,Statistics and Applications Universiti Sains Malaysia,Penang,June 13-15,2006,A Job shop Scheduling
problem using GA.
[3] Kanate Ploydanai and Anan Mungwattana, IJCSE International journal on Computer Science and Engineering
Vol.02,No.05,2010,1919-1925 Algorithm for solving job shop scheduling problem based on machine availability constraints,.
[4] Ramezanali Mahdavinesad of University of Tehran in International journal of Quality researchUniversity of Tehran.UDK-658.524
short Scientific Paper (1.03), A new Approach to Job Shop Scheduling Problem
[5] E.Falkenauer and S.Bouffouix, CRIF - Research Center for Belgian Metalworking Industry published CP 106-
P4,50,av.F.D.Roosevelt,B-1050 brussels,Belgium. A Genetic Algorithm for Job Shop.
[6] Milos Seda published a paper in World academy of Science Engineering and technology 31 2007. Mathematical Model of Flow
shop and Job shop scheduling problem.
[7] Takeshi Yamada and Ryohei Nakano rom NTT Communication Science Labs in the proceeedings of Modern Heuristic for decision
Support,pp. 67-81,UNICOM Seminar,18-19 March 1997,London. Genetic Algorithms for Job-Shop Scheduling Problems.
[8] Shignebu kobayash, Isao and Masayuki Yamamura in Proceedings of ICGA in 1995,pp.506-511(1995) An Efficient Genetic
Algorithm for Job Shop Scheduling Problem .
[9] M.A.Adibi,M Zandieh,m.Amiri.in Elsevier Expert System with Applications 37 (2010) 282-287 Multi objective scheduling of
dynamic job shop using variable neighborhood search.
[10] Shyh-chang Lin Erik d goodman William F.Punch,III, Genetic algorithm research and Applications group Michigan State
University A Genetic Algorithm Approach to dynamic Job Shop Scheduling Problems
Software Vol.5, No.3 March2010.A Genetic Algorithm for Job Shop Scheduling.
[2] Mahanim Omar, Adam Baharum, Yahya Abu Hasan School of Mathematical Sciences, in proceedings of the 2nd IMT –GT Regional
Conference on Mathematics,Statistics and Applications Universiti Sains Malaysia,Penang,June 13-15,2006,A Job shop Scheduling
problem using GA.
[3] Kanate Ploydanai and Anan Mungwattana, IJCSE International journal on Computer Science and Engineering
Vol.02,No.05,2010,1919-1925 Algorithm for solving job shop scheduling problem based on machine availability constraints,.
[4] Ramezanali Mahdavinesad of University of Tehran in International journal of Quality researchUniversity of Tehran.UDK-658.524
short Scientific Paper (1.03), A new Approach to Job Shop Scheduling Problem
[5] E.Falkenauer and S.Bouffouix, CRIF - Research Center for Belgian Metalworking Industry published CP 106-
P4,50,av.F.D.Roosevelt,B-1050 brussels,Belgium. A Genetic Algorithm for Job Shop.
[6] Milos Seda published a paper in World academy of Science Engineering and technology 31 2007. Mathematical Model of Flow
shop and Job shop scheduling problem.
[7] Takeshi Yamada and Ryohei Nakano rom NTT Communication Science Labs in the proceeedings of Modern Heuristic for decision
Support,pp. 67-81,UNICOM Seminar,18-19 March 1997,London. Genetic Algorithms for Job-Shop Scheduling Problems.
[8] Shignebu kobayash, Isao and Masayuki Yamamura in Proceedings of ICGA in 1995,pp.506-511(1995) An Efficient Genetic
Algorithm for Job Shop Scheduling Problem .
[9] M.A.Adibi,M Zandieh,m.Amiri.in Elsevier Expert System with Applications 37 (2010) 282-287 Multi objective scheduling of
dynamic job shop using variable neighborhood search.
[10] Shyh-chang Lin Erik d goodman William F.Punch,III, Genetic algorithm research and Applications group Michigan State
University A Genetic Algorithm Approach to dynamic Job Shop Scheduling Problems
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Abstract: The increasing industrialization and motorization of the world has led to a steep rise for the demand
of petroleum products. Petroleum based fuels are obtained from limited reserves also use of conventional diesel
fuel causes serious problem of air pollution and effects on the environment. Hence, it is necessary to look for
alternative fuels, which can be produced from renewable sources. In this work, reports about biodiesel engine
performances and emissions published by highly rated journals in scientific indexes, from these reports, the
effect of biodiesel on engine power, economy, and emissions of a four strokes compression ignition engine are
surveyed and analyzed in detail. Also describes many researches worked in optimization of C.I. engine
performance and operating parameters for biodiesel fuel using software methods. Lastly the scope and
challenges being faced in this area of research are clearly described.
Keywords: Bio-diesel, Diesel Engine Performance, Exhaust Emissions, Optimization technique.
Keywords: Bio-diesel, Diesel Engine Performance, Exhaust Emissions, Optimization technique.
[1] Jinlin Xue, Tony E. Grift , Alan C. Hansena, 'Effect of biodiesel on engine performances and emissions', Renewable and Sustainable
Energy (2011).
[2] Mustafa Balat , Havva Balat , 'Progress in biodiesel processing', Applied Energy, Vol. 87, 1815–1835, (2010).
[3] Magın Lapuerta, Octavio Armas, Jose Rodriguez-Fernandez, 'Effect of biodiesel fuels on diesel engine emissions', Progress in
Energy and Combustion Science, vol. 34, 198-223, (2008).
[4] T.T. AL-Shemmeri, S. Oberweis, 'Correlation of the NOx emission and exhaust gas temperature for biodiesel', Applied Thermal
Engineering, vol. 31, 1682-1688 (2011).
[5] K. Sivaramakrishnan, P. Ravikumar, 'Determination of Cetane Number of Biodiesel and It's Influence on Physical Properties',
ARPN Journal of Engineering and Applied Sciences Vol. 7, No. 2, (2012).
[6] Aldo Okullo, A. K. Temu, P. Ogwok, J. W. Ntalikwa, 'Physico-Chemical Properties of Biodiesel from Jatropha and Castor Oils'
International Journal of Renewable Energy Research Vol.2, No.1, (2012).
[7] M. Venkatraman, G. Devaradjane, 'Computer Modeling of a CI Engine for Optimization of Operating Parameters Such as
Compression Ratio, Injection Timing and Injection Pressure for Better Performance and Emission Using Diesel -Diesel Biodiesel
Blends', American Journal of Applied Sciences vol. 8, 897-902, (2011).
[8] R.Manjunatha, P. Badari Narayana, K. Hema Chandra Reddy, 'Application of Artificial Neural Networks for Emission Modelling of
Biodiesels for a C.I Engine under Varying Operating Conditions', modern applied science vol.4 (2010).
[9] Anant Bhaskar Garg, Parag Diwan, Mukesh Saxena, 'Artificial Neural Networks based Methodologies for Optimization of Engine
Operations' International Journal of Scientific & Engineering Research, (2012).
[10] N. Balajiganesh, B.Chandra Mohan Reddy, 'Optimization of C.I Engine Parameters Using Artificial Neural', International Journal of
Mechanical and Industrial Engineering (IJMIE), ISSN No. 2231 –6477, Volume-1, Issue-2, (2011).
Energy (2011).
[2] Mustafa Balat , Havva Balat , 'Progress in biodiesel processing', Applied Energy, Vol. 87, 1815–1835, (2010).
[3] Magın Lapuerta, Octavio Armas, Jose Rodriguez-Fernandez, 'Effect of biodiesel fuels on diesel engine emissions', Progress in
Energy and Combustion Science, vol. 34, 198-223, (2008).
[4] T.T. AL-Shemmeri, S. Oberweis, 'Correlation of the NOx emission and exhaust gas temperature for biodiesel', Applied Thermal
Engineering, vol. 31, 1682-1688 (2011).
[5] K. Sivaramakrishnan, P. Ravikumar, 'Determination of Cetane Number of Biodiesel and It's Influence on Physical Properties',
ARPN Journal of Engineering and Applied Sciences Vol. 7, No. 2, (2012).
[6] Aldo Okullo, A. K. Temu, P. Ogwok, J. W. Ntalikwa, 'Physico-Chemical Properties of Biodiesel from Jatropha and Castor Oils'
International Journal of Renewable Energy Research Vol.2, No.1, (2012).
[7] M. Venkatraman, G. Devaradjane, 'Computer Modeling of a CI Engine for Optimization of Operating Parameters Such as
Compression Ratio, Injection Timing and Injection Pressure for Better Performance and Emission Using Diesel -Diesel Biodiesel
Blends', American Journal of Applied Sciences vol. 8, 897-902, (2011).
[8] R.Manjunatha, P. Badari Narayana, K. Hema Chandra Reddy, 'Application of Artificial Neural Networks for Emission Modelling of
Biodiesels for a C.I Engine under Varying Operating Conditions', modern applied science vol.4 (2010).
[9] Anant Bhaskar Garg, Parag Diwan, Mukesh Saxena, 'Artificial Neural Networks based Methodologies for Optimization of Engine
Operations' International Journal of Scientific & Engineering Research, (2012).
[10] N. Balajiganesh, B.Chandra Mohan Reddy, 'Optimization of C.I Engine Parameters Using Artificial Neural', International Journal of
Mechanical and Industrial Engineering (IJMIE), ISSN No. 2231 –6477, Volume-1, Issue-2, (2011).
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| Paper Type | : | Research Paper |
| Title | : | Pull-Out Capacity of Granular Anchor Piles in Expansive Soils |
| Country | : | India |
| Authors | : | Dr. P. Hari Krishna, Dr. V. Ramana Murty |
| : | 10.9790/1684-0512431 ![]() |
|
Abstract: The stability of structures founded in expansive soils depends upon their pull-out capacity or
resistance. The pile foundations adopted to alleviate the damages to the structures resting in these soil fail due
to their inadequate pull-out capacity. In an attempt to develop a simple, easy to install and cost-effective
alternative foundation system to the conventional concrete piles, the possible use of granular anchor piles below
shallow footings was studied by conducting pull-out tests in the field after conducting pilot tests in the
laboratory. From these studies, it is found that the pull-out resistance of granular anchor piles is more than
twice the value of concrete piles in both unsaturated and saturated states. The pull-out resistance of concrete
and granular anchor piles is decreased by about 32% and 25% respectively upon saturation.
Keywords: Concrete Pile,Expansive soil, Granular anchor pile, pull-out capacity, pull-out resistance
Keywords: Concrete Pile,Expansive soil, Granular anchor pile, pull-out capacity, pull-out resistance
[1] Katti RK, Search for solutions to problems in black cotton soils, First IGS Annual Lecture, Indian Geotechnical Journal, 9(1),
1979, 1-80. (80).
[2] Chen, F.H. Foundations on Expansive Soils (Elsevier Pub. Co, 1988)
[3] Subba Rao, K.S. Swell-shrink behaviour of expansive soils – Geotechnical challenges, 22nd IGS Annual Lecture, Indian
Geotechnical Journal, 30(1), 1999, 1-68.
[4] Petry Thomas, M. and Little Dallas, N. Review of stabilization of clays and expansive soils in pavements and lightly loaded
structures - History, practice and future, Journal of Materials in Civil Engineering, ASCE, 150th Anniversary paper, 2002: 447-457.
[5] Puppala, Anand J., Napat Inthara Sambat and Rajan K. Vempati, Experimental studies on ettringite – induced heaving in soils,
Journal of Geotechnical and Geoenvironmental Engineering, ASCE, Vol.131(3), 2005, 325-337.
[6] Snethen, D.R. et. al, An evaluation of methodology for prediction and minimization of detrimental volume change of expansive
soils in highway subgrades", Research Report, Vol.1, Prepared for Federal Highway Administration, Washington, 1979.
[7] Freeman, T. J., Burford, D. and Crilly, M. S. Seasonal Foundation Movements in London Clay, Proc. of 4th International
Conference Ground Movements and Structures, Cardiff, 1991, 485-501.
[8] Jie Li and Donald A Cameran, Case study of courtyard house damaged by expansive soils, Journal of Performance of Constructed
Facilities, Vol.16, 2002, 169-175.
[9] Vu Q. Hung, Fredlund, G., Delwin, G. The prediction of one, two and three dimensional heave in expansive soils, Canadian
Geotechnical Journal, 2004, 173-177.
[10] Ahmed A, Assessment of drying – wetting cycles to mitigate the potential of expansive soil in Upper Egypt, Journal of Applied
Science Research, 5(12), 2009, 2277-2284.
1979, 1-80. (80).
[2] Chen, F.H. Foundations on Expansive Soils (Elsevier Pub. Co, 1988)
[3] Subba Rao, K.S. Swell-shrink behaviour of expansive soils – Geotechnical challenges, 22nd IGS Annual Lecture, Indian
Geotechnical Journal, 30(1), 1999, 1-68.
[4] Petry Thomas, M. and Little Dallas, N. Review of stabilization of clays and expansive soils in pavements and lightly loaded
structures - History, practice and future, Journal of Materials in Civil Engineering, ASCE, 150th Anniversary paper, 2002: 447-457.
[5] Puppala, Anand J., Napat Inthara Sambat and Rajan K. Vempati, Experimental studies on ettringite – induced heaving in soils,
Journal of Geotechnical and Geoenvironmental Engineering, ASCE, Vol.131(3), 2005, 325-337.
[6] Snethen, D.R. et. al, An evaluation of methodology for prediction and minimization of detrimental volume change of expansive
soils in highway subgrades", Research Report, Vol.1, Prepared for Federal Highway Administration, Washington, 1979.
[7] Freeman, T. J., Burford, D. and Crilly, M. S. Seasonal Foundation Movements in London Clay, Proc. of 4th International
Conference Ground Movements and Structures, Cardiff, 1991, 485-501.
[8] Jie Li and Donald A Cameran, Case study of courtyard house damaged by expansive soils, Journal of Performance of Constructed
Facilities, Vol.16, 2002, 169-175.
[9] Vu Q. Hung, Fredlund, G., Delwin, G. The prediction of one, two and three dimensional heave in expansive soils, Canadian
Geotechnical Journal, 2004, 173-177.
[10] Ahmed A, Assessment of drying – wetting cycles to mitigate the potential of expansive soil in Upper Egypt, Journal of Applied
Science Research, 5(12), 2009, 2277-2284.
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Abstract: Long Span, Column free structures are the most essential in any type of industrial structures and
Pre Engineered Buildings (PEB) fulfill this requirement along with reduced time and cost as compared to
conventional structures. The present work involves the comparative study of static and dynamic analysis and
design of Pre Engineered Buildings (PEB) and Conventional steel frames. Design of the structure is being done
in Staad Pro software and the same is then compared with conventional type, in terms of weight which in turn
reduces the cost. Three examples have been taken for the study. Comparison of Pre Engineered Buildings (PEB)
and Conventional steel frames is done in two examples and in the third example, longer span Pre Engineered
Building structure is taken for the study. In the present work, Pre Engineered Buildings (PEB) and
Conventional steel frames structure is designed for dynamic forces, which includes wind forces and seismic
forces. Wind analysis has been done manually as per IS 875 (Part III) – 1987 and seismic analysis has been
carried out as per IS 1983 (2002).
Keywords: Pre-Engineered-Buildings; Staad Pro; Utilization Ratio; Tapered Sections.
Keywords: Pre-Engineered-Buildings; Staad Pro; Utilization Ratio; Tapered Sections.
[1] Dale C. Perry, Herbert S. Saffir, James R. McDonald, "Performance of Metal Buildings in High Winds", Journal of Wind
Engineering and Industrial Aerodynamics, 36 (1990) 985-999 985, Elsevier Science Publishers.
[2] Syed Firoz, Sarath Chandra Kumar B, S.Kanakambara Rao," Design Concept of Pre Engineered Building", IJERA Vol. 2, Issue
2,Mar-Apr 2012, pp.267-272 http://www.ijera.com/papers/Vol2_issue2/AS22267272.pdf
[3] IS 875- Part II (1987), Indian Standard Code of Practice for Design Loads (Other Than Earthquake) for Buildings and Structures.
[4] IS 1893- Part I (2002) Indian Standard Criteria for Earthquake Resistant of Design of Structures.
[5] IS 875- Part III (1987), Indian Standard Code of Practice for Design Loads (Other Than Earthquake) for Buildings and Structures.
Engineering and Industrial Aerodynamics, 36 (1990) 985-999 985, Elsevier Science Publishers.
[2] Syed Firoz, Sarath Chandra Kumar B, S.Kanakambara Rao," Design Concept of Pre Engineered Building", IJERA Vol. 2, Issue
2,Mar-Apr 2012, pp.267-272 http://www.ijera.com/papers/Vol2_issue2/AS22267272.pdf
[3] IS 875- Part II (1987), Indian Standard Code of Practice for Design Loads (Other Than Earthquake) for Buildings and Structures.
[4] IS 1893- Part I (2002) Indian Standard Criteria for Earthquake Resistant of Design of Structures.
[5] IS 875- Part III (1987), Indian Standard Code of Practice for Design Loads (Other Than Earthquake) for Buildings and Structures.
