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Research Collection Lee Kong Chian School Of Business

2017

Dynamic programming

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Articles 1 - 2 of 2

Full-Text Articles in Business

Capacity Management In Agricultural Commodity Processing And Application In The Palm Industry, Onur Boyabatli, Jason Quang Dang Nguyen, Tong Wang Dec 2017

Capacity Management In Agricultural Commodity Processing And Application In The Palm Industry, Onur Boyabatli, Jason Quang Dang Nguyen, Tong Wang

Research Collection Lee Kong Chian School Of Business

This paper examines the capacity investment decisions of a processor that uses a commodity input to produce both a commodity output and a byproduct in the context of agricultural industries. We employ a multi-period model to study the optimal one-time processing and (output) storage capacity investment decisions---in addition to the periodic processing and inventory decisions---when both input and output spot prices as well as production yield are uncertain. We characterize the optimal decisions and perform sensitivity analysis to investigate how spot price uncertainty affects the processor's optimal capacity and profitability. Using a calibration based on the palm industry, we study …


Optimizing (S, S) Policies For Multi-Period Inventory Models With Demand Distribution Uncertainty: Robust Dynamic Programming Approaches, Ruozhen Qiu, Minghe Sun, Yun Fong Lim Sep 2017

Optimizing (S, S) Policies For Multi-Period Inventory Models With Demand Distribution Uncertainty: Robust Dynamic Programming Approaches, Ruozhen Qiu, Minghe Sun, Yun Fong Lim

Research Collection Lee Kong Chian School Of Business

We consider a finite-horizon single-product periodic-review inventory managementproblem with demand distribution uncertainty. We formulate the problemas a dynamic program and prove the existence of an optimal (s, S) policy. Thecorresponding dynamic robust counterpart models are then developed for thebox and the ellipsoid uncertainty sets. These counterpart models are transformedinto tractable linear and second-order cone programs, respectively. Weillustrate the effectiveness and practicality of the proposed robust optimizationapproaches through a numerical study.