Title :
Solving multi-item multi-period capacitated lot sizing problem with considerations of backorders and setups
Author :
Verma, Mayank ; Sharma, R.R.K.
Author_Institution :
Dept. of Ind. & Manage. Eng., Indian Inst. of Technol. Kanpur, Kanpur, India
Abstract :
In this work we introduce an innovative procedure to solve the capacitated lot sizing problem with backorders and setup times, called CLSP_BS. The procedure formulates CLSP_BS as a mixed integer programming (MIP) problem, reduces it to the structure of a bounded variable linear program; and then calculates some ratios of the coefficients to determine an approximate solution to the problem. This initial solution is further improved using an intelligent enumeration procedure. Adopting this procedure, we solve the NP hard MIP differently and easily, by mere calculation of a few ratios and without actually using any traditional solution approaches, viz. simplex, interior point method, etc.
Keywords :
approximation theory; integer programming; linear programming; lot sizing; CLSP_BS; NP hard MIP; backorders; bounded variable linear program; intelligent enumeration procedure; interior point method; mixed integer programming problem; multi item multiperiod capacitated lot sizing problem; setup times; Costs; Engineering management; Innovation management; Linear programming; Lot sizing; Manufacturing; Mathematical model; Supply chains; Technology management; Lot sizing; backorders; capacitated; knapsack;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451797