Capacity Management in Agricultural Commodity Processing and Application in the Palm Industry
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 investm...
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sg-smu-ink.lkcsb_research-41872019-05-17T07:16:17Z Capacity Management in Agricultural Commodity Processing and Application in the Palm Industry BOYABATLI, Onur NGUYEN, Jason Quang Dang WANG, Tong 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 (both numerically and analytically) the performance of a variety of heuristic capacity investment policies that can be used in practice. We find that if the yield uncertainty is ignored in capacity planning, then basing those plans on the average yield is preferable to basing them (as often occurs in practice) on the maximum yield. However, planning based on the average yield performs well only when the relative (processing-to-storage) capacity investment cost is high, otherwise it leads to a significant loss of profit. We also find that ignoring spot price uncertainty in capacity planning results in a relatively small profit loss. In contrast, ignoring byproduct revenue---which constitutes a small portion of total revenues---during capacity planning substantially reduces the processor's profit. 2017-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/3188 info:doi/10.1287/msom.2017.0624 https://ink.library.smu.edu.sg/context/lkcsb_research/article/4187/viewcontent/boyabatlinguyenwang_MSOM.pdf https://ink.library.smu.edu.sg/context/lkcsb_research/article/4187/filename/0/type/additional/viewcontent/boyabatlinguyenwang_unabridged.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University capacity management multi-product firm commodity risk management spot market agriculture dynamic programming processing storage Agribusiness Operations and Supply Chain Management |
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capacity management multi-product firm commodity risk management spot market agriculture dynamic programming processing storage Agribusiness Operations and Supply Chain Management BOYABATLI, Onur NGUYEN, Jason Quang Dang WANG, Tong Capacity Management in Agricultural Commodity Processing and Application in the Palm Industry |
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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 (both numerically and analytically) the performance of a variety of heuristic capacity investment policies that can be used in practice. We find that if the yield uncertainty is ignored in capacity planning, then basing those plans on the average yield is preferable to basing them (as often occurs in practice) on the maximum yield. However, planning based on the average yield performs well only when the relative (processing-to-storage) capacity investment cost is high, otherwise it leads to a significant loss of profit. We also find that ignoring spot price uncertainty in capacity planning results in a relatively small profit loss. In contrast, ignoring byproduct revenue---which constitutes a small portion of total revenues---during capacity planning substantially reduces the processor's profit. |
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text |
author |
BOYABATLI, Onur NGUYEN, Jason Quang Dang WANG, Tong |
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BOYABATLI, Onur NGUYEN, Jason Quang Dang WANG, Tong |
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BOYABATLI, Onur |
title |
Capacity Management in Agricultural Commodity Processing and Application in the Palm Industry |
title_short |
Capacity Management in Agricultural Commodity Processing and Application in the Palm Industry |
title_full |
Capacity Management in Agricultural Commodity Processing and Application in the Palm Industry |
title_fullStr |
Capacity Management in Agricultural Commodity Processing and Application in the Palm Industry |
title_full_unstemmed |
Capacity Management in Agricultural Commodity Processing and Application in the Palm Industry |
title_sort |
capacity management in agricultural commodity processing and application in the palm industry |
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Institutional Knowledge at Singapore Management University |
publishDate |
2017 |
url |
https://ink.library.smu.edu.sg/lkcsb_research/3188 https://ink.library.smu.edu.sg/context/lkcsb_research/article/4187/viewcontent/boyabatlinguyenwang_MSOM.pdf https://ink.library.smu.edu.sg/context/lkcsb_research/article/4187/filename/0/type/additional/viewcontent/boyabatlinguyenwang_unabridged.pdf |
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