of this lesson you will be able to: s olve the transportation problems by (i) North-West corner rule; (ii) Lowest cost entry method; and (iii)Vogel’s approximation method. t est the optimality of the solution. 112 :: Mathematics 63.3 MATHEMATICAL FORMULATION TRANSPORTATION PROBLEM OF Let there be three units‚ producing scooter‚ say‚ A 1 ‚ A 2 a nd A 3 f rom where the scooters are to be supplied to four depots say B 1‚ B 2‚ B3 a nd B 4. Let the number of scooters produced at A1
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>> Cnew=nlinfit(Tnew‚knew‚@classworkfuncequation1‚Cguessequation1) Cnew = 27.6813 572.1670 >> Cguessequation1=[1 1]; >> Cnew=lsqcurvefit(@classworkfuncequation1‚Cguessequation1‚Tnew‚knew) Local minimum found. Optimization completed because the size of the gradient is less than the default value of the function tolerance. <stopping criteria details> Cnew = 27.6813 572.1670 Editor %Question b) Equation 2 function f=classworkfunc(a‚TKelvin_2)
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Linear Programming is a mathematical technique useful for allocation of scarce or limited resources to several competing activities on the basis of given criterion of optimality.The usefulness of linear programming as a tool for optimal decision-making on resource allocation‚ is based on its applicability to many diversified decision problems. The effective use and application requires‚ as on its applicability to many diversified decision problems. The effective use and application requires‚ as a
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References: American Economic Review‚ Vol. 67(5)‚ pp. 823–39 (1977) [3] M Vol. 16‚ pp. 99–114 (2005) [4] J economy. Discussion Paper IZA‚ 1538 (2005) [5] J Theory (2006) [6] G (1994) [7] G [9] D. Gensch. Advertising planning: mathematical models in advertising media planning. Elsevier (1973) [10] M (1997) [11] B user value in information rich environments. http://www.hpl.hp.com/ research/idl/papers/attention/attention.pdf (2006) [12] D. Kahneman. Attention and Effort. Prentice Hall
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antisubmarine‚ and mining operations. The scientific approach to decision making usually involves the use of one or more mathematical models. A mathematical model is a mathematical representation of an actual situation that may be used to make better decisions or simply to understand the actual situation better. The following example should clarify many of the key terms used to describe mathematical models. EXAMPLE 1 Maximizing Wozac Yield Eli Daisy produces Wozac in huge batches by heating a chemical
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Your job is to select three companies’ stock that are listed in NASDAQ/NYSE and gather 15 years stock and calculate rate of return on each year. Assume that the company A has lowest average rate of return among the three companies. 1) Formulate a mathematical model for this portfolio selection problem. 2) Determine how much portion of your client’s investments can be distributed to each of these companies’ stock price‚ and at the same time‚ s/he has to expect minimum 15% rate of return while minimizing
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initial material handling cost of the layout was Rs.10550. The CRAFT algorithm is used for the optimization of machines in the Cell 1 layout. After performing six iterations the cost has been reduced to Rs. 5950 and the layout has been optimized. In the optimized layout the machines 25 and 7 needs to be switched/interchanged. 1.1.1. Machine Optimization in Cell 2 The procedure for doing the optimization is discussed in 6.7.1. The facility information‚ machine information‚ flow matrix‚ cost matrix
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for each product can be decreasing. We present a cluster-based heuristic algorithm that can incorporate both variance reduction techniques from the simulation literature and the principles of a generalized maximum flow algorithm from the network optimization literature. © 2005 Wiley Periodicals‚ Inc. Naval Research Logistics 53: 137–150‚ 2006 Keywords: capacity planning; stochastic demand; simulation; submodularity; semiconductor industry 1. INTRODUCTION Because highly volatile demands and
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ISSN: 2277-3754 ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 2‚ Issue 11‚ May 2013 Application of Taguchi Methods and ANOVA in GTAW Process Parameters Optimization for Aluminium Alloy 7039 Anoop C A‚ Pawan Kumar Department of Mechanical Engineering‚ NIT Calicut (Kerala)‚ India VRDE‚ Defence Research and Development Organization‚ Ahmednagar (MS)‚ India Vainarman et al. [2] reported that the use of pulsed arc welding in place of
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Optimization Processes Network Optimization process involves the following activities: • FIRST SET THE CRITERION (GOAL) OF OPTIMIZATION PROCESS o BASELINE & TARGET KPI’s. o DELIVERABLES • • • • • CONDUCTING A BASELINE PHYSICAL AUDIT REMOVING ALL SERVICE AFFECTING ALARMS IDENTIFYING POOR COVERAGE AREAS IDENTIFYING CAPACITY CONSTRAINTS & OVERUTILIZED CELLS VARIOUS KPIs with Root-Cause-Analysis of problems. o o Frequency Plan (BCCH & TCH) Neighbor plan • • CONDUCTING A GSM SYSTEM
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