Shipment Consolidation Policy under Uncertainty of Customer Order for Sustainable Supply Chain Management

With increasing concern over the environment, shipment consolidation has become one of a main initiative to reduce CO2 emissions and transportation cost among the logistics service providers. Increased delivery time caused by shipment consolidation may lead to customer’s order cancellation. Thus, or...

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Main Authors: Kyunghoon Kang, Ki-sung Hong, Ki Hong Kim, Chulung Lee
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/9/9/1675
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spelling doaj-34af0e7b77d34efab37a0924683fb00c2020-11-25T00:47:14ZengMDPI AGSustainability2071-10502017-09-0199167510.3390/su9091675su9091675Shipment Consolidation Policy under Uncertainty of Customer Order for Sustainable Supply Chain ManagementKyunghoon Kang0Ki-sung Hong1Ki Hong Kim2Chulung Lee3Graduate School of Information Security, Korea University, Seongbuk-gu, Seoul 02841, KoreaGraduate School of Management of Technology, Korea University, Seongbuk-gu, Seoul 02841, KoreaGraduate School of Industrial Management Engineering, Korea University, Seongbuk-gu, Seoul 02841, KoreaDivision of Industrial Management Engineering, Korea University, Seongbuk-gu, Seoul 02841, KoreaWith increasing concern over the environment, shipment consolidation has become one of a main initiative to reduce CO2 emissions and transportation cost among the logistics service providers. Increased delivery time caused by shipment consolidation may lead to customer’s order cancellation. Thus, order cancellation should be considered as a factor in order uncertainty to determine the optimal shipment consolidation policy. We develop mathematical models for quantity-based and time-based policies and obtain optimality properties for the models. Efficient algorithms using optimal properties are provided to compute the optimal parameters for ordering and shipment decisions. To compare the performances of the quantity-based policy with the time-based policy, extensive numerical experiments are conducted, and the total cost is compared.https://www.mdpi.com/2071-1050/9/9/1675inventory controlshipment consolidationquantity-based policyorder cancellation
collection DOAJ
language English
format Article
sources DOAJ
author Kyunghoon Kang
Ki-sung Hong
Ki Hong Kim
Chulung Lee
spellingShingle Kyunghoon Kang
Ki-sung Hong
Ki Hong Kim
Chulung Lee
Shipment Consolidation Policy under Uncertainty of Customer Order for Sustainable Supply Chain Management
Sustainability
inventory control
shipment consolidation
quantity-based policy
order cancellation
author_facet Kyunghoon Kang
Ki-sung Hong
Ki Hong Kim
Chulung Lee
author_sort Kyunghoon Kang
title Shipment Consolidation Policy under Uncertainty of Customer Order for Sustainable Supply Chain Management
title_short Shipment Consolidation Policy under Uncertainty of Customer Order for Sustainable Supply Chain Management
title_full Shipment Consolidation Policy under Uncertainty of Customer Order for Sustainable Supply Chain Management
title_fullStr Shipment Consolidation Policy under Uncertainty of Customer Order for Sustainable Supply Chain Management
title_full_unstemmed Shipment Consolidation Policy under Uncertainty of Customer Order for Sustainable Supply Chain Management
title_sort shipment consolidation policy under uncertainty of customer order for sustainable supply chain management
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2017-09-01
description With increasing concern over the environment, shipment consolidation has become one of a main initiative to reduce CO2 emissions and transportation cost among the logistics service providers. Increased delivery time caused by shipment consolidation may lead to customer’s order cancellation. Thus, order cancellation should be considered as a factor in order uncertainty to determine the optimal shipment consolidation policy. We develop mathematical models for quantity-based and time-based policies and obtain optimality properties for the models. Efficient algorithms using optimal properties are provided to compute the optimal parameters for ordering and shipment decisions. To compare the performances of the quantity-based policy with the time-based policy, extensive numerical experiments are conducted, and the total cost is compared.
topic inventory control
shipment consolidation
quantity-based policy
order cancellation
url https://www.mdpi.com/2071-1050/9/9/1675
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AT kihongkim shipmentconsolidationpolicyunderuncertaintyofcustomerorderforsustainablesupplychainmanagement
AT chulunglee shipmentconsolidationpolicyunderuncertaintyofcustomerorderforsustainablesupplychainmanagement
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