By A. Ravi Ravindran

ISBN-10: 0849397219

ISBN-13: 9780849397219

ISBN-10: 1420009710

ISBN-13: 9781420009712

Operations examine (OR) begun as an interdisciplinary job to unravel advanced army difficulties in the course of global battle II. using ideas from arithmetic, engineering, company, machine technological know-how, economics, and data, OR has built right into a complete fledged educational self-discipline with sensible program in company, undefined, govt and army. at present considered as a physique of demonstrated mathematical versions and techniques necessary to fixing advanced administration matters, OR presents quantitative research of difficulties from which managers could make target judgements. Operations learn and administration technological know-how (OR/MS) methodologies proceed to flourish in several selection making fields. that includes a mixture of foreign authors, Operations study and administration technology instruction manual combines OR/MS versions, tools, and functions into one entire, but concise quantity. the 1st source to arrive for while confronting OR/MS problems, this article – offers a unmarried resource consultant in OR/MS Bridges concept and perform Covers all subject matters correct to OR/MS deals a short reference consultant for scholars, researchers and practitioners includes unified and updated insurance designed and edited with non-experts in brain Discusses software program availability for all OR/MS options comprises contributions from a mixture of family and overseas specialists The 26 chapters within the guide are divided into components. half I includes 14 chapters that conceal the basic OR/MS types and techniques. each one bankruptcy supplies an summary of a specific OR/MS version, its resolution equipment and illustrates winning purposes. half II of the guide includes eleven chapters discussing the OR/MS purposes in particular components. They contain airways, e-commerce, power platforms, finance, army, construction platforms, venture administration, qc, reliability, provide chain administration and water assets. half II ends with a bankruptcy at the way forward for OR/MS functions.

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Extra info for Operations Research and Management Science Handbook (The Operations Research Series)

Sample text

Many products exhibit such seasonal behavior, and companies and businesses take advantage of this feature to augment their profits. A linear programming formulation of this problem has the aim of finding the best production-storage-marketing plan over the planning horizon, to maximize the overall profit. For constructing a model for this problem we need reasonably good estimates of the demand and the expected selling price of the product in each period of the planning horizon; availability and cost of raw materials, labor, machine times, etc.

One such eligible variable, xs say, is selected as the entering variable. Its updates column: (a1s , . 5) is called the pivot column for this pivot step. The minimum ratio in this pivot step is defined to be θ = min {bi /ais : 1 ≤ i ≤ m such that ais > 0} where (bi ) are the values of the basic variables in the present BFS. If the minimum ratio is attained by i = r, then the r-th basic variable in (xB , −z) will be the dropping variable to be replaced by xs to yield the next basic vector. The basis inverse corresponding to the new basic vector is obtained by performing a Gauss–Jordan pivot step on the columns of the present B −1 with the pivot column and row r as the pivot row.

This modification only considers reducing the entries in the RHS constants vector in the original model; also it gives the decision maker no control on which RHS constants bi are changed to make the system feasible. tex 22/10/2007 1-24 13: 57 Page 1-24 Operations Research and Management Science Handbook value of bi , and these may be different for different i. To find a least costly modification of the b-vector to make the system feasible, let − c+ i , ci = cost per unit increase, decrease respectively in the value of bi pi , qi = maximum possible increase, decrease allowed in the value of bi Then the model to minimize the total cost of all the changes to make the model feasible is the LP m + − − (c+ i ui + ci ui ) Minimize i=1 subject to Ax + Iu+ − Iu− = b u+ ≤ q, u− ≤ p x, u+ , u− ≥ 0 − + T − − T where u+ = (u+ 1 , .

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