anand chauhan - Academia.edu (original) (raw)
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Indian Institute of Engineering Science and Technology, Shibpur
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Papers by anand chauhan
INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “TECHNOLOGY IN AGRICULTURE, ENERGY AND ECOLOGY” (TAEE2022)
An EPQ model with inflation under non-linear price stock dependent demand and time varying holdin... more An EPQ model with inflation under non-linear price stock dependent demand and time varying holding cost including shortages
In this paper we presents the EPLS (Economic Production Lot Size) model which accounts for a prod... more In this paper we presents the EPLS (Economic Production Lot Size) model which accounts for a production system producing perfect and imperfect quality items. Also, a single period multi-item volume flexible production model for deteriorating items with stochastic demand and stochastic imperfect production. Deterioration is taken as constant. Linear holding cost is considered. Shortages are permitted in inventory with partial backlogging. Profit maximization techniques are also used. The problem parameter effects upon the optimal solutions are examined numerically.
INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “TECHNOLOGY IN AGRICULTURE, ENERGY AND ECOLOGY” (TAEE2022)
An EPQ model with inflation under non-linear price stock dependent demand and time varying holdin... more An EPQ model with inflation under non-linear price stock dependent demand and time varying holding cost including shortages
In this paper we presents the EPLS (Economic Production Lot Size) model which accounts for a prod... more In this paper we presents the EPLS (Economic Production Lot Size) model which accounts for a production system producing perfect and imperfect quality items. Also, a single period multi-item volume flexible production model for deteriorating items with stochastic demand and stochastic imperfect production. Deterioration is taken as constant. Linear holding cost is considered. Shortages are permitted in inventory with partial backlogging. Profit maximization techniques are also used. The problem parameter effects upon the optimal solutions are examined numerically.