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035 _a.b1016215x
099 9 _aAIT Diss. no. IE-90-01
100 1 _aDo, Ba Khang
245 1 0 _aConcave cost capacitated network flows and multi-period lotsizing problems with uncertain demands
260 _aBangkok :
_bAsian Institute of Technology,
_c1990
300 _a105 p.
490 1 _aDissertation ;
_vno. IE-90-01
500 _aA dissertation submitted in partial fulfilment of the requirements for the degree of Doctor of Technical Sciences, School of Engineering and Technology
502 _aThesis (Ph.D.) - Asian Institute of Technology, 1990
520 _aThe dissertation considers am ultiperiod lotsizing problem on a complex production or inventory system where demaqds are random. The problem is formulated as a stochastic network flow model which also incorporates service level constraints. The model is approximated with a capacitated and deterministic network flow problem with concave cost function. A scaling method is proposed to solve this approximate flow problem. The method is efficient and produces an exact local optimum flow. The Lagrange relaxation method is also applied to find lower bounds for the optimum system cost. As an application, a stochastic coordinated multi-item lotsizing problem is considered and .solved. Some computation experiments are carried out, showing the efficiency of the new methods in handling practical problems.
650 0 _aEconomic lot size
650 0 _aProduction management
700 1 _aFujiwara, Okitsugu,
_eChairperson
700 1 _aNagarur, Nagendra N.,
_eExamination Committee
700 1 _aTabucanon, Mario T.,
_eExamination Committee
700 0 _aVilas Wuwongse,
_eExamination Committee
700 1 _aKonno, Hiroshi,
_eExamination Committee
710 2 _aThe Government of Japan,
_eScholarship Donor
810 2 _aAsian Institute of Technology.
_tDissertation ;
_vno. IE-90-01
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B18156
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